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Publications

Recent Publications since 2019.

2025Yixin Sun, Li Li, Amir Atapour-Abarghouei, Toby P Breckon. “TOMD: A Trail-based Off-road Multimodal Dataset for Traversable Pathway Segmentation under Challenging Illumination Conditions.” arXiv preprint arXiv:2506.21630. 2025.
2025Matt Poyser, Toby P Breckon. “DDS-NAS: Dynamic data selection within neural architecture search via on-line hard example mining applied to image classification.” Pattern Recognition. 2025.
2025Brian KS Isaac-Medina, Toby P Breckon. “Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection.” arXiv preprint arXiv:2504.18746. 2025.
2025Y Sun, L Li, A Atapour-Abarghouei, TP Breckon. “DurTOMD: A Trail-based Off-road Multimodal Dataset for Traversable Pathway Segmentation under Challenging Illumination Conditions.” 2025.
2025Jiaxu Liu, Li Li, Hubert PH Shum, Toby P Breckon. “TFDM: Time-Variant Frequency-Based Point Cloud Diffusion with Mamba.” arXiv preprint arXiv:2503.13004. 2025.
2025Chao Yuan, Li Li, Yixin Sun, Yona Falinie A Gaus, Amir Atapour-Abarghouei, Toby P Breckon. “Dur360BEV: A Real-world 360-degree Single Camera Dataset and Benchmark for Bird-Eye View Mapping in Autonomous Driving.” arXiv preprint arXiv:2503.00675. 2025.
2025E Wenke, Chao Yuan, Li Li, Yixin Sun, Yona Falinie A Gaus, Amir Atapour-Abarghouei, Toby P Breckon. “Dur360BEV: A Real-world 360-degree Single Camera Dataset and Benchmark for Bird-Eye View Mapping in Autonomous Driving.” CoRR. 2025.
2025Yona Falinie A Gaus, Brian KS Medina, Neelanjan Bhowmik, Yam T Lee, Toby Breckon. “Semi-supervised Object-Wise Anomaly Detection for Firearm and Firearm Component Detection in X-ray Security Imagery.” Proceedings of the Computer Vision and Pattern Recognition Conference. 2025.
2025Sima Das, Parijat Bhowmick, Farshad Arvin, Arpan Adhikary. “Neural Rehab: Deep Learning in Healthcare Revitalization.” 2025.
2025Jan Blaha, Martin Stefanec, Jiří Janota, Daniel Nicolas Hofstadler, Tomáš Rouček, Jiří Ulrich, Laurenz Alexander Fedotoff, George Broughton, Tomáš Vintr, Farshad Arvin, Thomas Schmickl, Tomáš Krajník. “On the movement of the honeybee queen in the hive.” Scientific Reports. 2025.
2025Chao Yuan, Changsheng Zhou, Honghao Pan, Farshad Arvin, Jigen Peng, Haiyang Li. “Robust least squares twin bounded support vector machine with a generalized correntropy-induced metric.” Information Sciences. 2025.
2025Mazen Bahaidarah, Mohsen Zahmatkesh, Martin Stefanec, Ognjen Marjanovic, Farshad Arvin. “Reconfigurable Leader-Follower Swarm Formation in Complex Environments.” 2025 IEEE International Conference on Industrial Technology (ICIT). 2025.
2025Honghao Pan, Mohsen Zahmatkesh, Fatemeh Rekabi-Bana, Farshad Arvin, Junyan Hu. “T-STAR: Time-Optimal Swarm Trajectory Planning for Quadrotor Unmanned Aerial Vehicles.” IEEE Transactions on Intelligent Transportation Systems. 2025.
2025Ahmad Alsayed, Fatemeh Bana, Farshad Arvin, Mark K Quinn, Mostafa RA Nabawy. “Experimental Evaluation of Multi-and Single-Drone Systems with 1D LiDAR Sensors for Stockpile Volume Estimation.” Aerospace. 2025.
2025Melanie Schranz, Wilfried Elmenreich, Farshad Arvin. “Engineering Swarms of Cyber-Physical Systems.” 2025.
2025Honghao Pan, Hang Wang, Farshad Arvin, Junyan Hu. “Decentralized Autonomous Navigation of Large-Scale Robotic Swarms with Control Barrier Functions.” 2025 IFAC Symposium on Robotics. 2025.
2025Kaihuai Zhang, Mohsen Zahmatkesh, Martin Stefanec, Farshad Arvin, Junyan Hu. “A Real-Time RRT-APF Approach for Efficient Multi-Robot Navigation in Complex Environments.” IEEE International Conference on Industrial Technology. 2025.
2025Ailipaer Aihaiti, Farshad Arvin, Junyan Hu. “Deep Reinforcement Learning for Overtaking Decision-Making and Planning of Autonomous Vehicles.” IEEE International Conference on Industrial Technology. 2025.
2025Marc North, Amir Atapour-Abarghouei, Nelly Bencomo. “Beyond Syntax: How Do LLMs Understand Code?.” 2025 IEEE/ACM 47th International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER). 2025.
2025Y Sun, L Li, A Atapour-Abarghouei, TP Breckon. “DurTOMD: A Trail-based Off-road Multimodal Dataset for Traversable Pathway Segmentation under Challenging Illumination Conditions.” 2025.
2025Shuang Chen, Yifeng He, Barry Lennox, Farshad Arvin, Amir Atapour-Abarghouei. “Deep Learning-Enhanced Visual Monitoring in Hazardous Underwater Environments with a Swarm of Micro-Robots.” arXiv preprint arXiv:2503.02752. 2025.
2025Chao Yuan, Li Li, Yixin Sun, Yona Falinie A Gaus, Amir Atapour-Abarghouei, Toby P Breckon. “Dur360BEV: A Real-world 360-degree Single Camera Dataset and Benchmark for Bird-Eye View Mapping in Autonomous Driving.” arXiv preprint arXiv:2503.00675. 2025.
2025Shuang Chen, Haozheng Zhang, Amir Atapour–Abarghouei, Hubert PH Shum. “SEM-Net: Efficient Pixel Modelling for Image Inpainting with Spatially Enhanced SSM.” 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 2025.
2025Ruisheng Han, Kanglei Zhou, Amir Atapour-Abarghouei, Xiaohui Liang, Hubert PH Shum. “Finecausal: A causal-based framework for interpretable fine-grained action quality assessment.” Proceedings of the Computer Vision and Pattern Recognition Conference. 2025.
2025Honghao Pan, Hang Wang, Farshad Arvin, Junyan Hu. “Decentralized Autonomous Navigation of Large-Scale Robotic Swarms with Control Barrier Functions.” 2025 IFAC Symposium on Robotics (ROBOTICS). 2025.
2025Desong Chen, Junyan Hu, Hao Zhang, Boli Chen. “Synergistic Reinforcement Learning Models for Pedestrian-Friendly Traffic Signal Control.” 2025 European Control Conference (ECC). 2025.
2025Honghao Pan, Mohsen Zahmatkesh, Fatemeh Rekabi-Bana, Farshad Arvin, Junyan Hu. “T-STAR: Time-Optimal Swarm Trajectory Planning for Quadrotor Unmanned Aerial Vehicles.” IEEE Transactions on Intelligent Transportation Systems. 2025.
2025Ailipaer Aihaiti, Farshad Arvin, Junyan Hu. “Deep Reinforcement Learning for Overtaking Decision-Making and Planning of Autonomous Vehicles.” 2025 IEEE International Conference on Industrial Technology (ICIT). 2025.
2025Kaihuai Zhang, Mohsen Zahmatkesh, Martin Stefanec, Farshad Arvin, Junyan Hu. “A Real-Time RRT-APF Approach for Efficient Multi-Robot Navigation in Complex Environments.” 2025 IEEE International Conference on Industrial Technology (ICIT). 2025.
2025Jindi Wang, Ioannis Ivrissimtzis, Zhaoxing Li, Lei Shi. “Hand gesture recognition for user-defined textual inputs and gestures.” Universal Access in the Information Society. 2025.
2025Adeela Islam, Stefano Fiorini, Stuart James, Pietro Morerio, Alessio Del Bue. “ReassembleNet: Learnable Keypoints and Diffusion for 2D Fresco Reconstruction.” arXiv preprint arXiv:2505.21117. 2025.
2025Ana David, Daniele Giunchi, Stuart James, Anthony Steed, Augusto Esteves. “PaintBranch: Asynchronous Collaborative Art in Virtual Reality.” 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). 2025.
2025Davide Talon, Alessio Del Bue, Stuart James. “GANzzle++: Generative approaches for jigsaw puzzle solving as local to global assignment in latent spatial representations.” Pattern Recognition Letters. 2025.
2025Gabriel Iluebe Okolo, Stamos Katsigiannis, Naeem Ramzan. “CLN: A multi-task deep neural network for chest X-ray image localisation and classification.” Expert Systems with Applications. 2025.
2025William Blakey, Stamos Katsigiannis, Naeem Ramzan. “A study on the impact of different components of a traditional webcam-based 2D gaze tracking algorithm.” IEEE Sensors Journal. 2025.
2025Benjamin Belay, Stamos Katsigiannis. “Human Intracranial EEG Biometric Identification.” International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBC). 2025.
2025Shrikant Malviya, Pablo Arnau-González, Miguel Arevalillo-Herráez, Stamos Katsigiannis. “SKDU at De-Factify 4.0: Natural Language Features for AI-Generated Text-Detection.” arXiv preprint arXiv:2503.22338. 2025.
2025Shrikant Malviya, Neelanjan Bhowmik, Stamos Katsigiannis. “SKDU at De-Factify 4.0: Vision Transformer with Data Augmentation for AI-Generated Image Detection.” arXiv preprint arXiv:2503.18812. 2025.
2025Ruochen Li, Stamos Katsigiannis, Tae-Kyun Kim, Hubert PH Shum. “Bp-sgcn: Behavioral pseudo-label informed sparse graph convolution network for pedestrian and heterogeneous trajectory prediction.” IEEE Transactions on Neural Networks and Learning Systems. 2025.
2025Ruochen Li, Tanqiu Qiao, Stamos Katsigiannis, Zhanxing Zhu, Hubert PH Shum. “Unified Spatial-Temporal Edge-Enhanced Graph Networks for Pedestrian Trajectory Prediction.” IEEE Transactions on Circuits and Systems for Video Technology. 2025.
2025Ziyi Chang, He Wang, George Koulieris, Hubert PH Shum. “Large-scale multi-character interaction synthesis.” 2025.
2025Ziyi Chang, George A Koulieris, Hyung Jin Chang, Hubert PH Shum. “On the design fundamentals of diffusion models: A survey.” 2025.
2025Yue Ma, Kanglei Zhou, Fuyang Yu, Frederick WB Li, Xiaohui Liang. “Uncertainty-aware probabilistic 3d human motion forecasting via invertible networks.” arXiv preprint arXiv:2507.14694. 2025.
2025Yin Wang, Zhiying Leng, Frederick WB Li, Xiaohui Liang. “MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction.” IEEE Transactions on Visualization and Computer Graphics. 2025.
2025Kanglei Zhou, Hubert PH Shum, Frederick WB Li, Xinxing Zhang, Xiaohui Liang. “PHI: Bridging Domain Shift in Long-Term Action Quality Assessment via Progressive Hierarchical Instruction.” IEEE Transactions on Image Processing. 2025.
2025Tanqiu Qiao, Ruochen Li, Frederick WB Li, Yoshiki Kubotani, Shigeo Morishima, Hubert PH Shum. “Geometric visual fusion graph neural networks for multi-person human-object interaction recognition in videos.” arXiv preprint arXiv:2506.03440. 2025.
2025Jiajie Wu, Frederick WB Li, Gary KL Tam, Bailin Yang, Fangzhe Nan, Jiahao Pan. “Talking Face Generation With Lip and Identity Priors.” Computer Animation and Virtual Worlds. 2025.
2025Jiahui Pan, Frederick WB Li, Bailin Yang, Fangzhe Nan. “CLPFusion: A Latent Diffusion Model Framework for Realistic Chinese Landscape Painting Style Transfer.” Computer Animation and Virtual Worlds. 2025.
2025Chao Song, Shaobang Li, Frederick WB Li, Bailin Yang. “WDFSR: Normalizing flow based on the wavelet-domain for super-resolution.” Computational Visual Media. 2025.
2025Fangzhe Nan, Frederick Li, Zhuoyue Wang, Gary KL Tam, Zhaoyi Jiang, DongZheng DongZheng, Bailin Yang. “Multi-modal Dynamic Point Cloud Geometric Compression Based on Bidirectional Recurrent Scene Flow.” ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2025.
2025Changshuang Zhou, Frederick WB Li, Chao Song, Dong Zheng, Bailin Yang. “3D data augmentation and dual-branch model for robust face forgery detection.” Graphical Models. 2025.
2025Yin Wang, Mu Li, Jiapeng Liu, Zhiying Leng, Frederick WB Li, Ziyao Zhang, Xiaohui Liang. “Fg-T2M++: LLMs-augmented fine-grained text driven human motion generation.” International Journal of Computer Vision. 2025.
2025Jiming Zhang, Yang Long, Jiao Deng, Zhongjie He, Da Qiu, Song Liu. “Joint optimization of dynamic berth allocation and energy supply for USVs based on an improved PSO algorithm.” Ocean Engineering. 2025.
2025Xueqi Qiu, Xingyu Miao, Fan Wan, Haoran Duan, Tejal Shah, Varun Ojha, Yang Long, Rajiv Ranjan. “D2Fusion: Dual-domain fusion with feature superposition for Deepfake detection.” Information Fusion. 2025.
2025Jinzhong Xu, Junyi Gao, Xiaoming Liu, Guan Yang, Jie Liu, Yang Long, Ziyue Huang, Kai Yang. “CPEL: A Causality-Aware, Parameter-Efficient Learning Framework for Adaptation of Large Language Models with Case Studies in Geriatric Care and Beyond.” Mathematics. 2025.
2025Xingyu Miao, Haoran Duan, Quanhao Qian, Jiuniu Wang, Yang Long, Ling Shao, Deli Zhao, Ran Xu, Gongjie Zhang. “Towards Scalable Spatial Intelligence via 2D-to-3D Data Lifting.” arXiv preprint arXiv:2507.18678. 2025.
2025Minye Shao, Xingyu Miao, Haoran Duan, Zeyu Wang, Jingkun Chen, Yawen Huang, Xian Wu, Jingjing Deng, Yang Long, Yefeng Zheng. “TRACE: Temporally Reliable Anatomically-Conditioned 3D CT Generation with Enhanced Efficiency.” arXiv preprint arXiv:2507.00802. 2025.
2025Hang Gao, Xiaojia Liu, Da Qiu, Jingyi Liu, Kai Qian, Zhipeng Sun, Song Liu, Shiqiang Chen, Tingting Zhang, Yang Long. “A Self-Adaptive K-SVD Denoising Algorithm for Fiber Bragg Grating Spectral Signals.” Symmetry. 2025.
2025Minye Shao, Zeyu Wang, Haoran Duan, Yawen Huang, Bing Zhai, Shizheng Wang, Yang Long, Yefeng Zheng. “Rethinking Brain Tumor Segmentation from the Frequency Domain Perspective.” IEEE Transactions on Medical Imaging. 2025.
2025Dantong Qin, Yang Long, Xun Zhang, Zhibin Zhou, Yuting Jin, Pan Wang. “Towards stereoscopic vision: Attention-guided gaze estimation with EEG in 3D space.” Neurocomputing. 2025.
2025Tianyu Zhang, Fan Wan, Haoran Duan, Kevin W Tong, Jingjing Deng, Yang Long. “FMDConv: Fast multi-attention dynamic convolution via speed-accuracy trade-off.” Knowledge-Based Systems. 2025.
2025Jiao Deng, Yang Long, Jiming Zhang, Hang Gao, Song Liu. “A Water Body Boundary Search Method Combining Chemotaxis Mechanism and High-Resolution Grid Based on Unmanned Surface Vehicles.” Journal of Marine Science and Engineering. 2025.
2025Xingyu Miao, Haoran Duan, Yang Long, Jungong Han. “Rethinking Score Distilling Sampling for 3D Editing and Generation.” arXiv preprint arXiv:2505.01888. 2025.
2025Yuyan Shi, Chenyi Jiang, Feifan Song, Qiaolin Ye, Yang Long, Haofeng Zhang. “Multi-domain feature-enhanced attribute updater for generalized zero-shot learning.” Neural Computing and Applications. 2025.
2025Qiaoqiao Xing, Shidong Li, Da Qiu, Yang Long, Qinyi Liao, Xiangjin Yin, Yunxiang Li, Kai Qian. “A Bi-Level Capacity Optimization Method for Hybrid Energy Storage Systems Combining the IBWO and MVMD Algorithms.” Energies. 2025.
2025Qinggao Zheng, Da Qiu, Junyi Chen, Jianqiang Zhang, Hang Gao, Yang Long, Song Liu, Tingting Zhang, Shiqiang Chen. “Study on VMD decomposition and denoising of spectral signals based on improved CPO algorithm.” Signal, Image and Video Processing. 2025.
2025Litao Hua, Fan Liu, Jie Su, Xingyu Miao, Zizhou Ouyang, Zeyu Wang, Runze Hu, Zhenyu Wen, Bing Zhai, Yang Long, Haoran Duan, Yuan Zhou. “Attention in diffusion model: A survey.” arXiv preprint arXiv:2504.03738. 2025.
2025Jingren Liu, Ke Sun, Zheng Zhang, Yang Long, Wankou Yang, Yunyang Yan, Haofeng Zhang. “Synthesizing Spreading-out features for generative zero-shot image classification.” Engineering Applications of Artificial Intelligence. 2025.
2025Fan Wan, Yuchen Li, Xueqi Qiu, Rui Sun, Leyuan Zhang, Xingyu Miao, Tianyu Zhang, Haoran Duan, Yang Long. “Asynchronous Personalized Federated Learning through Global Memorization.” arXiv preprint arXiv:2503.00407. 2025.
2025Ziming Cheng, Shidong Wang, Yang Long, Tao Zhou, Haofeng Zhang, Ling Shao. “Dual Interspersion and Flexible Deployment for Few-Shot Medical Image Segmentation.” IEEE Transactions on Medical Imaging. 2025.
2025Mingyue Liu, Ryo Ueda, Zhen Wan, Katsumi Inoue, Chris G Willcocks. “Neuro-Symbolic Contrastive Learning for Cross-domain Inference.” arXiv preprint arXiv:2502.09213. 2025.
2025Xingyu Miao, Haoran Duan, Yang Bai, Tejal Shah, Jun Song, Yang Long, Rajiv Ranjan, Ling Shao. “Laser: Efficient Language-Guided Segmentation in Neural Radiance Fields.” IEEE Transactions on Pattern Analysis and Machine Intelligence. 2025.
2025Wenbao Ma, Teng Ma, Daniel Organisciak, Jude ET Waide, Xiangxin Meng, Yang Long. “The Progress and Prospects of Data Capital for Zero-Shot Deep Brain–Computer Interfaces.” 2025.
2025Jiming Zhang, Yang Long, Jiao Deng, Da Qiu, Caihua Fang. “An unmanned surface vehicle berthing planning based on bacteria foraging optimization algorithm considering energy consumption constraints.” Robotica. 2025.
2025Daniel Posada, Tu-Hoa Pham, Nikos Mavrakis, Philip Bailey. “Robust Tube Localization for Mars Sample Return: Lightweight YOLO-Segmentation with Angle-Guided PnP.” Pattern Recognition. 2025.
2025Chenghao Xiao, Kun Zhao, Xiao Wang, Siwei Wu, Sixing Yan, Tomas Goldsack, Sophia Ananiadou, Noura Al Moubayed, Liang Zhan, William K Cheung, Chenghua Lin. “Overview of the biolaysumm 2025 shared task on lay summarization of biomedical research articles and radiology reports.” Proceedings of the 24th Workshop on Biomedical Language Processing. 2025.
2025Sean Farrell, Alan Radford, Noura Al Moubayed, Peter-John Noble. “PetEVAL: A veterinary free text electronic health records benchmark.” Proceedings of the 24th Workshop on Biomedical Language Processing. 2025.
2025Yang Wang, Chenghao Xiao, Yizhi Li, Stuart E Middleton, Noura Al Moubayed, Chenghua Lin. “Adversarial Defence without Adversarial Defence: Enhancing Language Model Robustness via Instance-level Principal Component Removal.” arXiv preprint arXiv:2507.21750. 2025.
2025Dean L Slack, G Thomas Hudson, Thomas Winterbottom, Noura Al Moubayed. “Video Prediction of Dynamic Physical Simulations With Pixel-Space Spatiotemporal Transformers.” IEEE Transactions on Neural Networks and Learning Systems. 2025.
2025Yang Wang, Chenghao Xiao, Yizhi Li, Stuart E Middleton, Noura Al Moubayed, Chenghua Lin. “Adversarial defence without adversarial defence: instance-level principal component removal for robust language models.” Transactions of the Association for Computational Linguistics. 2025.
2025G Thomas Hudson, Dean Slack, Thomas Winterbottom, Jamie Sterling, Chenghao Xiao, Junjie Shentu, Noura Al Moubayed. “Everything is a Video: Unifying Modalities through Next-Frame Prediction.” International Conference on Computer Vision (ICCV 2025). 2025.
2025Junjie Shentu, Matthew Watson, Noura Al Moubayed. “DiDGen: Diffusion-based Dual-task Synthesis for Dermoscopic Data Generation.” Medical Image Computing and Computer Assisted Intervention (MICCAI 2025). 2025.
2025Patrick Leask, Neel Nanda, Noura Al Moubayed. “Inference-Time Decomposition of Activations (ITDA): A Scalable Approach to Interpreting Large Language Models.” International Conference on Machine Learning (ICML 2025). 2025.
2025Chenghao Xiao, Hou Pong Chan, Hao Zhang, Mahani Aljunied, Lidong Bing, Noura Al Moubayed, Yu Rong. “Analyzing LLMs’ Knowledge Boundary Cognition Across Languages Through the Lens of Internal Representations.” Association for Computational Linguistics (ACL 2025). 2025.
2025Chenghao Xiao, Isaac Chung, Imene Kerboua, Jamie Stirling, Xin Zhang, Márton Kardos, Roman Solomatin, Noura Al Moubayed, Kenneth Enevoldsen, Niklas Muennighoff. “Mieb: Massive image embedding benchmark.” International Conference on Computer Vision, ICCV 2025. 2025.
2025Mark Holland, John Kellett, Stelios Boulitsakis-Logothetis, Matthew Watson, Noura Al Moubayed, Darren Green. “The variable relationship between the National Early Warning Score on admission to hospital, the primary discharge diagnosis, and in-hospital mortality.” Internal and Emergency Medicine. 2025.
2025Patrick Leask, Bart Bussmann, Michael Pearce, Joseph Bloom, Curt Tigges, Noura Al Moubayed, Lee Sharkey, Neel Nanda. “Sparse Autoencoders Do Not Find Canonical Units of Analysis.” International Conference on Learning Representations (ICLR 2025). 2025.
2025Ashar Asif, Maha Alsayyari, Dorothy Monekosso, Paolo Remagnino, Raghuram Lakshminarayan. “Role of Artificial Intelligence in Detecting and Classifying Aortic Dissection: Where Are We? A Systematic Review and Meta-Analysis.” 2025.
2025Parminder Kaur, other other, Paolo Remagnino. “Artificial vision models for the identification of Mediterranean flora: an analysis in four ecosystems.” PLOS ONE. 2025.
2025Mridula Vijendran, Shuang Chen, Jingjing Deng, Hubert P. H. Shum. “BOOST: Out-of-Distribution-Informed Adaptive Sampling for Bias Mitigation in Stylistic Convolutional Neural Networks.” Expert Systems with Applications. 2025.
2025Xiaotang Zhang, Ziyi Chang, Qianhui Men, Hubert Shum. “Real-time and Controllable Reactive Motion Synthesis via Intention Guidance.” Computer Graphics Forum. 2025.
2025Ziyi Chang, He Wang, George Alex Koulieris, Hubert P. H. Shum. “Large-Scale Multi-Character Interaction Synthesis.” Proceedings of the 2025 ACM SIGGRAPH. 2025.
2025Claire Warwick, Andrew Beresford, Soazig Casteau, Hubert PH Shum, Dan Smith, Francis Xiatian Zhang. “Using Fixed and Mobile Eye Tracking to Understand How Visitors View Art in a Museum: A Study at the Bowes Museum, County Durham, UK.” Proceedings of the 2025 ADHO Digital Humanities Conference (DH). 2025.
2025Jiaxu Liu, Li Li, Hubert P. H. Shum, Toby P Breckon. “TFDM: Time-Variant Frequency-Based Point Cloud Diffusion with Mamba.” arXiv preprint arXiv:2503.13004. 2025.
2025Ruochen Li, Stamos Katsigiannis, Tae-Kyun Kim, Hubert P. H. Shum. “BP-SGCN: Behavioral Pseudo-Label Informed Sparse Graph Convolution Network for Pedestrian and Heterogeneous Trajectory Prediction.” IEEE Transactions on Neural Networks and Learning Systems. 2025.
2025Ruochen Li, Tanqiu Qiao, Stamos Katsigiannis, Zhanxing Zhu, Hubert P. H. Shum. “Unified Spatial-Temporal Edge-Enhanced Graph Networks for Pedestrian Trajectory Prediction.” IEEE Transactions on Circuits and Systems for Video Technology. 2025.
2025Jinyu Liu, Effie Lai-Chong Law, Hubert P. H. Shum. “Exploring Artists’ and Art Viewers’ Perspectives for Art Chatbots: Implications for a Design Framework.” Proceedings of the 2025 ACM Conversational User Interfaces Conference (CUI). 2025.
2025Nikos Mavrakis, Effie Lai-Chong Law, Hubert PH Shum. “Integrating Human-in-the-loop AI to Tackle Space Communication Delay Challenges.” Proceedings of the 2025 Human Computer Interaction for Space Exploration (SpaceCHI). 2025.
2025Tanqiu Qiao, Ruochen Li, Frederick WB Li, Yoshiki Kubotani, Shigeo Morishima, Hubert P. H. Shum. “Geometric Visual Fusion Graph Neural Networks for Multi-Person Human-Object Interaction Recognition in Videos.” Expert Systems with Applications. 2025.
2025Kanglei Zhou, Hubert P. H. Shum, Frederick WB Li, Xingxing Zhang, Xiaohui Liang. “PHI: Bridging Domain Shift in Long-Term Action Quality Assessment via Progressive Hierarchical Instruction.” IEEE Transactions on Image Processing (TIP). 2025.
2025Ruisheng Han, Kanglei Zhou, Amir Atapour-Abarghouei, Xiaohui Liang, Hubert P. H. Shum. “FineCausal: A Causal-Based Framework for Interpretable Fine-Grained Action Quality Assessment.” Proceedings of the 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 2025.
2025Francis Xiatian Zhang, Jingjing Deng, Robert Lieck, Hubert P. H. Shum. “Adaptive Graph Learning from Spatial Information for Surgical Workflow Anticipation.” IEEE Transactions on Medical Robotics and Bionics. 2025.
2025Mridula Vijendran, Jingjing Deng, Shuang Chen, Edmond SL Ho, Hubert PH Shum. “Artificial Intelligence for Geometry-Based Feature Extraction, Analysis and Synthesis in Artistic Images: A Survey.” Artificial Intelligence Review. 2025.
2025Shuang Chen, Haozheng Zhang, Amir Atapour-Abarghouei, Hubert P. H. Shum. “SEM-Net: Efficient Pixel Modelling for Image Inpainting with Spatially Enhanced SSM.” Proceedings of the 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 2025.
2025Ziyi Chang, George A Koulieris, Hyung Jin Chang, Hubert P. H. Shum. “On the Design Fundamentals of Diffusion Models: A Survey.” Pattern Recognition. 2025.
2024Seyma Yucer, Furkan Tektas, Noura Al Moubayed, Toby Breckon. “Racial bias within face recognition: A survey.” 2024.
2024Brian KS Isaac-Medina, Mauricio Che, Yona FA Gaus, Samet Akcay, Toby P Breckon. “FEVER-OOD: Free Energy Vulnerability Elimination for Robust Out-of-Distribution Detection.” arXiv preprint arXiv:2412.01596. 2024.
2024Brian KS Isaac-Medina, Yona Falinie A Gaus, Neelanjan Bhowmik, Toby P Breckon. “Towards Open-World Object-based Anomaly Detection via Self-Supervised Outlier Synthesis.” 2024.
2024Li Li, Hubert PH Shum, Toby P Breckon. “Rapid-seg: Range-aware pointwise distance distribution networks for 3d lidar segmentation.” 2024.
2024Xingyu Liu, Grant Ingram, David Sims-Williams, Toby P Breckon. “Extracting quantitative streamline information from surface flow visualization images in a linear cascade using convolutional neural networks.” Proceedings of Global Power and Propulsion Society. 2024.
2024Li Li, Tanqiu Qiao, Hubert PH Shum, Toby P Breckon. “TraIL-Det: Transformation-Invariant Local Feature Networks for 3D LiDAR Object Detection with Unsupervised Pre-Training.” arXiv preprint arXiv:2408.13902. 2024.
2024Seyma Yucer, Amir Atapour Abarghouei, Noura Al Moubayed, Toby P Breckon. “Disentangling Racial Phenotypes: Fine-Grained Control of Race-related Facial Phenotype Characteristics.” 2024 International Joint Conference on Neural Networks (IJCNN). 2024.
2024Mehdi Rafiei, Toby P Breckon, Alexandros Iosifidis. “Superpixel-based Anomaly Detection for Irregular Textures with a Focus on Pixel-level Accuracy.” 2024 International Joint Conference on Neural Networks (IJCNN). 2024.
2024Yona Falinie A Gaus, Neelanjan Bhowmik, Brian KS Isaac-Medina, Toby P Breckon. “Performance evaluation of segment anything model with variational prompting for application to non-visible spectrum imagery.” 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 2024.
2024Qian Wang, Fanlin Meng, Toby P Breckon. “Progressively select and reject pseudolabeled samples for open-set domain adaptation.” IEEE Transactions on Artificial Intelligence. 2024.
2024Matt Poyser, Toby P Breckon. “Neural architecture search: A contemporary literature review for computer vision applications.” 2024.
2024Jiaxu Liu, Zhengdi Yu, Toby P Breckon, Hubert PH Shum. “U3ds3: Unsupervised 3d semantic scene segmentation.” Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. 2024.
2024Niharika Gogoi, Nikolaus Helmer, Chao Wu, Ronald Thenius, Alex Casson, Thomas Schmickl, Farshad Arvin. “Biohybrid Sensors for Underwater Monitoring.” 2024.
2024Kale Champagnie, Boli Chen, Farshad Arvin, Junyan Hu. “Online Multi-Robot Coverage Path Planning in Dynamic Environments Through Pheromone-Based Reinforcement Learning.” 2024 IEEE 20th International Conference on Automation Science and Engineering. 2024.
2024Jiří Ulrich, Martin Stefanec, Fatemeh Rekabi-Bana, Laurenz Alexander Fedotoff, Tomáš Rouček, Bilal Yağız Gündeğer, Mahmood Saadat, Jan Blaha, Jiří Janota, Daniel Nicolas Hofstadler, Kristina Žampachů, Erhan Ege Keyvan, Babür Erdem, Erol Şahin, Hande Alemdar, Ali Emre Turgut, Farshad Arvin, Thomas Schmickl, Tomáš Krajník. “Autonomous tracking of honey bee behaviors over long-term periods with cooperating robots.” Science Robotics. 2024.
2024Jan Blaha, Tomáš Vintr, Jan Mikula, Jiří Janota, Tomáš Rouĉek, Jiří Ulrich, Fatemeh Rekabi-Bana, Laurenz Alexander Fedotoff, Martin Stefanec, Thomas Schmickl, Farshad Arvin, Miroslav Kulich, Tomáš Krajník. “Toward Perpetual Occlusion-Aware Observation of Comb States in Living Honeybee Colonies.” 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 2024.
2024Mazen Bahaidarah, Ognjen Marjanovic, Fatemeh Rekabi-bana, Farshad Arvin. “A Leader-Follower Collective Motion in Robotic Swarms.” 2024.
2024Michael Watson, Hanchi Ren, Farshad Arvin, Junyan Hu. “Predator-Prey Q-Learning Based Collaborative Coverage Path Planning for Swarm Robotics.” 2024.
2024Jan Blaha, Jan Mikula, Tomáš Vintr, Jiří Janota, Jiří Ulrich, Tomáš Rouček, Fatemeh Rekabi-Bana, Laurenz Alexander Fedotoff, Martin Stefanec, Thomas Schmickl, Farshad Arvin, Miroslav Kulich, Tomáš Krajník. “Effective Searching for the Honeybee Queen in a Living Colony.” 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE). 2024.
2024Fatemeh Rekabi-Bana, Mahmood Saadat, Nahid Kalantaryardebily, Martin Stefanec, Laurenz A Fedotoff, Honghao Pan, Tomáš Krajník, Thomas Schmickl, Farshad Arvin. “Active Vibration Reduction for the Autonomous Observation Mechanism.” 2024 IEEE Conference on Control Technology and Applications (CCTA). 2024.
2024Fatemeh Rekabi Bana, Tomáš Krajník, Farshad Arvin. “Evolutionary optimization for risk-aware heterogeneous multi-agent path planning in uncertain environments.” Frontiers in Robotics and AI. 2024.
2024Yifeng He, Barry Lennox, Cheng Hu, Farshad Arvin. “Bubbles-Swarm Micro Surface Robots for Underwater Inspection.” 2024 IEEE International Conference on Mechatronics and Automation (ICMA). 2024.
2024Mazen Bahaidarah, Ognjen Marjanovic, Fatemeh Rekabi-Bana, Farshad Arvin. “Improving Formation in Swarm Robotics with a Leader-Follower Approach.” 2024 IEEE International Conference on Mechatronics and Automation (ICMA). 2024.
2024Jiří Janota, Jan Blaha, Fatemeh Rekabi-Bana, Jiří Ulrich, Martin Stefanec, Laurenz Fedotoff, Farshad Arvin, Thomas Schmickl, Tomáš Krajník. “Towards Robotic Mapping of a Honeybee Comb.” 2024 International Conference on Manipulation, Automation and Robotics at Small Scales (MARSS). 2024.
2024Catalina Agachi, Farshad Arvin, Junyan Hu. “RRT*-Based Leader-Follower Trajectory Planning and Tracking in Multi-Agent Systems.” IEEE International Conference on Intelligent Systems. 2024.
2024Tianhao Liu, Runqi Chai, Senchun Chai, Farshad Arvin, Jinning Zhang, Barry Lennox. “Fast Collision-Free Multi-Vehicle Lane Change Motion Planning and Control Framework in Uncertain Environments.” IEEE Transactions on Industrial Electronics. 2024.
2024Arash Sadeghi Amjadi, Cem Bilaloğlu, Ali Emre Turgut, Seongin Na, Erol Şahin, Tomáš Krajník, Farshad Arvin. “Reinforcement learning-based aggregation for robot swarms.” Adaptive Behavior. 2024.
2024Parijat Bhowmick, Sima Das, Farshad Arvin. “Bio-inspired Swarm Robotics and Control: Algorithms, Mechanisms, and Strategies: Algorithms, Mechanisms, and Strategies.” 2024.
2024Mazen Bahaidarah, Fatemeh Rekabi-Bana, Ognjen Marjanovic, Farshad Arvin. “Swarm flocking using optimisation for a self-organised collective motion.” Swarm and Evolutionary Computation. 2024.
2024Kale Champagnie, Farshad Arvin, Junyan Hu. “Decentralized Multi-Agent Coverage Path Planning with Greedy Entropy Maximization.” 2024 IEEE International Conference on Industrial Technology (ICIT). 2024.
2024Cheng Hu, Farshad Arvin, Nicola Bellotto, Shigang Yue, Haiyang Li. “Swarm neuro-robots with the bio-inspired environmental perception.” 2024.
2024Kefan Wu, Junyan Hu, Zhenhong Li, Zhengtao Ding, Farshad Arvin. “Distributed collision-free bearing coordination of multi-UAV systems with actuator faults and time delays.” IEEE Transactions on Intelligent Transportation Systems. 2024.
2024Fatemeh Rekabi Bana, Ahmad Alsayed, Tomáš Krajník, Farshad Arvin. “Iterative Risk Aware PRM Path Planning Algorithm for Autonomous Unknown Environments Exploration.” 2024 10th International Conference on Automation, Robotics and Applications (ICARA). 2024.
2024HUAJIN TANG, KAI KENG ANG, FARSHAD ARVIN, AMIR ATAPOUR-ABARGHOUEI, FEI CHAO, FEI CHEN, YARAN CHEN, LONG CHENG, RAN CHENG, YOONSUCK CHOE, FEDERICO CORRADI, LIANG FENG, FRANK FOERSTER, YONG GU, FRANK GUERIN, HUIGUANG HE, YAQING HOU, ZENGGUANG HOU, XIA HU, XIAN-SHENG HUA, ZHIAN HUANG, TIANZI JIANG, ZHAOJIE JU, ZDZISŁAW KOWALCZUK, HONGYI LI, GUOQI LI, SHENG LI, SONGTING LI, RONGHUA LIANG, JIAN K LIU, MINGXIA LIU, TIANMING LIU, HAIPING LU, CHAOMIN LUO, DINGSHENG LUO, HONGYING MENG, SHINGO MURATA, NICOLAS NAVARRO-GUERRERO, SHIRUI PAN, VINOD PRASAD, NING QIAO, KAI QIN, QINRU QIU, MARTA ROMEO, ALESSANDRA SCIUTTI, ABHRONIL SENGUPTA, JOAN BO SOUZA FILHO, HANG SU, CHESTON TAN, XIAOYING TANG, YANG TANG, JOCHEN TRIESCH, MARLEY VELLASCO, YAN WANG, YUEMING WANG, QINGLAI WEI, JAYAWAN WIJEKOON, HAU SAN WONG, EDMOND WU, JIBIN WU, MIN WU, JING XU, QI YU, YUGUO YU, SHIGANG YUE, CATHERINE QI ZHAO. “IEEE Transactions on Cognitive and Developmental Systems.” 2024.
2024Jiangtao Fan, Anish Jindal, Amir Atapour-Abarghouei. “Multi-scale Efficient Spatial Attention on Human Activity Recognition Using Wearable Sensors.” 2024.
2024Mohamad Abushofa, Amir Atapour-Abarghouei, Matthew Forshaw, A Stephen McGough. “Evaluating Deep Graph Network Performance by Augmenting Node Features with Structural Features.” 2024.
2024Shuang Chen, Amir Atapour-Abarghouei, Haozheng Zhang, Hubert PH Shum. “MxT: Mamba x Transformer for Image Inpainting.” arXiv preprint arXiv:2407.16126. 2024.
2024Seyma Yucer, Amir Atapour Abarghouei, Noura Al Moubayed, Toby P Breckon. “Disentangling Racial Phenotypes: Fine-Grained Control of Race-related Facial Phenotype Characteristics.” 2024 International Joint Conference on Neural Networks (IJCNN). 2024.
2024Marc North, Amir Atapour-Abarghouei, Nelly Bencomo. “Code Gradients: Towards Automated Traceability of LLM-Generated Code.” 2024 IEEE 32nd International Requirements Engineering Conference (RE). 2024.
2024Regan Cain Bolton, Rahele Kafieh, Fereshteh Ashtari, Amir Atapour-Abarghouei. “Diagnosis of multiple sclerosis by detecting asymmetry within the retina using a similarity-based neural network.” Ieee Access. 2024.
2024Shuang Chen, Amir Atapour-Abarghouei, Hubert PH Shum. “HINT: High-quality inpainting transformer with mask-aware encoding and enhanced attention.” IEEE Transactions on Multimedia. 2024.
2024HUAJIN TANG, KAI KENG ANG, FARSHAD ARVIN, AMIR ATAPOUR-ABARGHOUEI, FEI CHAO, FEI CHEN, YARAN CHEN, LONG CHENG, RAN CHENG, YOONSUCK CHOE, FEDERICO CORRADI, LIANG FENG, FRANK FOERSTER, YONG GU, FRANK GUERIN, HUIGUANG HE, YAQING HOU, ZENGGUANG HOU, XIA HU, XIAN-SHENG HUA, ZHIAN HUANG, TIANZI JIANG, ZHAOJIE JU, ZDZISŁAW KOWALCZUK, HONGYI LI, GUOQI LI, SHENG LI, SONGTING LI, RONGHUA LIANG, JIAN K LIU, MINGXIA LIU, TIANMING LIU, HAIPING LU, CHAOMIN LUO, DINGSHENG LUO, HONGYING MENG, SHINGO MURATA, NICOLAS NAVARRO-GUERRERO, SHIRUI PAN, VINOD PRASAD, NING QIAO, KAI QIN, QINRU QIU, MARTA ROMEO, ALESSANDRA SCIUTTI, ABHRONIL SENGUPTA, JOAN BO SOUZA FILHO, HANG SU, CHESTON TAN, XIAOYING TANG, YANG TANG, JOCHEN TRIESCH, MARLEY VELLASCO, YAN WANG, YUEMING WANG, QINGLAI WEI, JAYAWAN WIJEKOON, HAU SAN WONG, EDMOND WU, JIBIN WU, MIN WU, JING XU, QI YU, YUGUO YU, SHIGANG YUE, CATHERINE QI ZHAO. “IEEE Transactions on Cognitive and Developmental Systems.” 2024.
2024Rob Geada, David Towers, Matthew Forshaw, Amir Atapour-Abarghouei, A Stephen McGough. “Insights from the Use of Previously Unseen Neural Architecture Search Datasets.” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2024.
2024Kefan Wu, Junyan Hu, Zhenhong Li, Zhengtao Ding, Farshad Arvin. “Distributed Collision-Free Bearing Coordination of Multi-UAV Systems With Actuator Faults and Time Delays.” IEEE Transactions on Intelligent Transportation Systems. 2024.
2024Catalina Agachi, Farshad Arvin, Junyan Hu. “RRT*-Based Leader-Follower Trajectory Planning and Tracking in Multi-Agent Systems.” 2024 IEEE International Conference on Intelligent Systems (IS). 2024.
2024Hao Sun, Junyan Hu, Li Dai, Boli Chen. “A Multi-Agent Path Planning Strategy with Reconfigurable Topology in Unknown Environments.” 2024 IEEE International Conference on Automation Science and Engineering (CASE). 2024.
2024Kale Champagnie, Boli Chen, Farshad Arvin, Junyan Hu. “Online Multi-Robot Coverage Path Planning in Dynamic Environments Through Pheromone-Based Reinforcement Learning.” 2024 IEEE International Conference on Automation Science and Engineering (CASE). 2024.
2024Michael Watson, Hans Ren, Farshad Arvin, Junyan Hu. “Predator-Prey Q-Learning Based Collaborative Coverage Path Planning for Swarm Robotics.” 2024 Annual Conference Towards Autonomous Robotic Systems (TAROS). 2024.
2024Kefan Wu, Junyan Hu, Zhengtao Ding, Farshad Arvin. “Finite-Time Fault-Tolerant Formation Control for Distributed Multi-Vehicle Networks With Bearing Measurements.” IEEE Transactions on Automation Science and Engineering. 2024.
2024Kale Champagnie, Farshad Arvin, Junyan Hu. “Decentralized multi-agent coverage path planning with greedy entropy maximization.” 2024 IEEE International Conference on Industrial Technology (ICIT). 2024.
2024Fatemeh Rekabi-Bana, Junyan Hu, Tomáš Krajník, Farshad Arvin. “Unified Robust Path Planning and Optimal Trajectory Generation for Efficient 3D Area Coverage of Quadrotor UAVs.” IEEE Transactions on Intelligent Transportation Systems. 2024.
2024Ioannis Ivrissimtzis, Carsten Lange, Shiping Liu, Norbert Peyerimhoff. “Polyhedral volume ratios, Izmestiev’s Colin de Verdiere matrices and Spectral Gaps.” arXiv preprint arXiv:2410.02494. 2024.
2024Ioannis Ivrissimtzis, Matthew Houliston, Shauna Concannon, Graham Roberts. “Zero-failure testing of binary classifiers.” arXiv preprint arXiv:2407.03979. 2024.
2024Jindi Wang, Ioannis Ivrissimtzis, Zhaoxing Li, Lei Shi. “The Impact of 2D and 3D Gamified VR on Learning American Sign Language.” arXiv preprint arXiv:2405.08908. 2024.
2024Jindi Wang, Ioannis Ivrissimtzis, Zhaoxing Li, Lei Shi. “Enhancing user experience in chinese initial text conversations with personalised ai-powered assistant.” 2024.
2024Jindi Wang, Ioannis Ivrissimtzis, Zhaoxing Li, Lei Shi. “Impact of personalised ai chat assistant on mediated human-human textual conversations: Exploring female-male differences.” 2024.
2024Jindi Wang, Ioannis Ivrissimtzis, Zhaoxing Li, Lei Shi. “Comparative efficacy of 2d and 3d virtual reality games in american sign language learning.” 2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). 2024.
2024Henry Westmacott, Ioannis Ivrissimtzis, Tobias Weinzierl. “A multiscale optimisation algorithm for shape and material reconstruction from a single X-ray image.” 2024.
2024Patrizia Kaye, Ioannis Ivrissimtzis. “Mesh Comparison Using Regular Grids.” 2024.
2024Theodore Tsesmelis, Luca Palmieri, Marina Khoroshiltseva, Adeela Islam, Gur Elkin, Ofir I Shahar, Gianluca Scarpellini, Stefano Fiorini, Yaniv Ohayon, Nadav Alali, Sinem Aslan, Pietro Morerio, Sebastiano Vascon, Maria Napolitano, Giuseppe Scarpati, Alexandra Spühler, Michel Fuchs, Stuart James, Ohad Ben-Shahar, Marcello Pelillo, Alessio Del Bue. “Re-assembling the past: The RePAIR dataset and benchmark for real world 2D and 3D puzzle solving.” Advances in Neural Information Processing Systems. 2024.
2024Valentina Nisi, Paulo Bala, Miguel Pessoa, Stuart James, Nuno Nunes. “Interactive Digital Storytelling Navigating the Inherent Currents of the Diasporic Mind.” 2024.
2024Matteo Toso, Stefano Fiorini, Stuart James, Alessio Del Bue. “Maps from Motion (MfM): Generating 2D Semantic Maps from Sparse Multi-view Images.” arXiv preprint arXiv:2411.12620. 2024.
2024Francesco Giuliari, Gianluca Scarpellini, Stefano Fiorini, Stuart James, Pietro Morerio, Yiming Wang, Alessio Del Bue. “Positional diffusion: Graph-based diffusion models for set ordering.” Pattern Recognition Letters. 2024.
2024Bortolon Matteo, Theodore Tsesmelis, Stuart James, Fabio Poiesi, Alessio Del Bue. “6dgs: 6d pose estimation from a single image and a 3d gaussian splatting model.” 2024.
2024Teresa Fernandes, Valentina Nisi, Nuno Nunes, Stuart James. “ArtAI4DS: AI Art and Its Empowering Role in Digital Storytelling.” 2024.
2024Matteo Bortolon, Theodore Tsesmelis, Stuart James, Fabio Poiesi, Alessio Del Bue. “IFFNeRF: Initialisation Free and Fast 6DoF pose estimation from a single image and a NeRF model.” 2024 IEEE International Conference on Robotics and Automation (ICRA). 2024.
2024Matteo Taiana, Matteo Toso, Stuart James, Alessio Del Bue. “PRAGO: Differentiable Multi-View Pose Optimization From Objectness Detections.” 2024 International Conference on 3D Vision (3DV). 2024.
2024Davide Talon, Phillip Lippe, Stuart James, Alessio Del Bue, Sara Magliacane. “Towards the reusability and compositionality of causal representations.” arXiv preprint arXiv:2403.09830. 2024.
2024Shrikant Malviya, Stamos Katsigiannis. “SK_DU team: Cross-encoder based evidence retrieval and question generation with improved prompt for the AVeriTeC shared task.” Proceedings of the Seventh Fact Extraction and VERification Workshop (FEVER). 2024.
2024Shrikant Malviya, Stamos Katsigiannis. “Evidence Retrieval for Fact Verification using Multi-stage Reranking.” 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2024.
2024Rebecca Owens, Viana Nijia Zhang, Shrikant Malviya, Maksim Kalameyets, Abigail Durrant, Karen Elliot, Ben Farrand, Stamos Katsigiannis, Cristina Neesham, Lei Shi. “AGENCY—written evidence (FON0017) for House of Lords Communications and Digital Select Committee inquiry: The future of news: impartiality, trust and technology.” 2024.
2024David Sibrina, Rene Novysedlak, Jan Kolarik, Robert Lischke, George Alex Koulieris. “Fitting Room: Lung Transplantation Donor-Recipient Size-matching in Virtual Reality.” 2024.
2024Greg K Stretton, George Alex Koulieris. “Imu tracking of kinematic chains in the absence of gravitational and magnetic fields.” arXiv preprint arXiv:2403.04357. 2024.
2024Andreas Polychronakis, George Alex Koulieris, Katerina Mania. “Skipping Spheres: SDF Scaling & Early Ray Termination for Fast Sphere Tracing.” The 42nd Eurographics UK Conference on Computer Graphics Visual Computing Conference, CVGC. 2024.
2024Tanqiu Qiao, Ruochen Li, Frederick WB Li, Hubert PH Shum. “From category to scenery: An end-to-end framework for multi-person human-object interaction recognition in videos.” 2024.
2024Kubra Kaymakci-Ustuner, Effie Lai-Chong Law, Frederick WB Li. “Design and Evaluation of the Digital Algebra Game for Children.” European Conference on Games Based Learning. 2024.
2024Kanglei Zhou, Liyuan Wang, Xingxing Zhang, Hubert PH Shum, Frederick WB Li, Jianguo Li, Xiaohui Liang. “Magr: Manifold-aligned graph regularization for continual action quality assessment.” 2024.
2024Ziqi Pan, Alexandra I Cristea, Frederick WB Li. “Reducing University Students’ Exam Anxiety via Mindfulness-Based Cognitive Therapy in VR with Real-Time EEG Neurofeedback.” 2024.
2024Chao Song, Qingjie Chen, Frederick WB Li, Zhaoyi Jiang, Dong Zheng, Yuliang Shen, Bailin Yang. “Multi-feature fusion enhanced monocular depth estimation with boundary awareness.” The Visual Computer. 2024.
2024Jianlu Cai, Frederick WB Li, Fangzhe Nan, Bailin Yang. “Multi-Style Cartoonization: Leveraging Multiple Datasets with GANs.” Authorea Preprints. 2024.
2024Bailin Yang, Tianxiang Wei, Frederick W. B. Li, Xiaohui Liang, Zhigang Deng, Yili Fang. “Color Theme Evaluation through User Preference Modeling.” ACM Transactions on Applied Perception. 2024.
2024Jianlu Cai, Frederick WB Li, Fangzhe Nan, Bailin Yang. “Multi‐style cartoonization: Leveraging multiple datasets with generative adversarial networks.” Computer Animation and Virtual Worlds. 2024.
2024Shibang Xiao, Chao Tong, Qifan Zhang, Yunchi Cen, Frederick WB Li, Xiaohui Liang. “Laplacian projection based global physical prior smoke reconstruction.” IEEE Transactions on Visualization and Computer Graphics. 2024.
2024Wenbao Ma, Teng Ma, Daniel Organisciak, Jude ET Waide, Xiangxi Meng, Yang Long. “The Progress and Prospective of Data Capital for Zero-Shot Deep Brain-Computer Interfaces.” 2024.
2024Zhenyu Liu, Haoran Duan, Huizhi Liang, Yang Long, Vaclav Snasel, Guiseppe Nicosia, Rajiv Ranjan, Varun Ojha. “Dynamic label adversarial training for deep learning robustness against adversarial attacks.” 2024.
2024Xingyu Miao, Yang Bai, Haoran Duan, Fan Wan, Yawen Huang, Yang Long, Yefeng Zheng. “Ctnerf: Cross-time transformer for dynamic neural radiance field from monocular video.” Pattern Recognition. 2024.
2024Chenyi Jiang, Shidong Wang, Yang Long, Zechao Li, Haofeng Zhang, Ling Shao. “Imaginary-Connected Embedding in Complex Space for Unseen Attribute-Object Discrimination.” IEEE Transactions on Pattern Analysis and Machine Intelligence. 2024.
2024Xuan Guo, Dongming Zhao, Tingting Fan, Fei Long, Caihua Fang, Yang Long. “Autonomous underwater vehicle path planning based on improved salp swarm algorithm.” Journal of Marine Science and Engineering. 2024.
2024Yifan Zhu, Yuan Zhou, Lei Xiang, Haoran Duan, Yang Long. “Enhanced Triple-branch Network for Generalized Zero-Shot Learning.” 2024.
2024Yuchen Li, Fan Wan, Yang Long. “Sid-nerf: Few-shot nerf based on scene information distribution.” 2024 IEEE International Conference on Multimedia and Expo (ICME). 2024.
2024Haoran Duan, Rui Sun, Varun Ojha, Tejal Shah, Zhuoxu Huang, Zizhou Ouyang, Yawen Huang, Yang Long, Rajiv Ranjan. “Dual variational knowledge attention for class incremental vision transformer.” 2024 International Joint Conference on Neural Networks (IJCNN). 2024.
2024Suyi Li, Chenyi Jiang, Shidong Wang, Yang Long, Zheng Zhang, Haofeng Zhang. “Contextual Interaction via Primitive-based Adversarial Training For Compositional Zero-shot Learning.” arXiv preprint arXiv:2406.14962. 2024.
2024Hang Gao, Tingting Zhang, Zheming Zuo, Xuan Guo, Yang Long, Da Qiu, Song Liu. “USV path planning in a hybrid map using a genetic algorithm with a feedback mechanism.” Journal of Marine Science and Engineering. 2024.
2024Yumin Zhang, Xingyu Miao, Haoran Duan, Bo Wei, Tejal Shah, Yang Long, Rajiv Ranjan. “ExactDreamer: High-Fidelity Text-to-3D Content Creation via Exact Score Matching.” arXiv preprint arXiv:2405.15914. 2024.
2024Xiaoming Liu, Chen Wang, Guan Yang, Chunhua Wang, Yang Long, Jie Liu, Zhiyuan Zhang. “Leveraging Self-Distillation and Disentanglement Network to Enhance Visual–Semantic Feature Consistency in Generalized Zero-Shot Learning.” Electronics. 2024.
2024Xingyu Miao, Haoran Duan, Varun Ojha, Jun Song, Tejal Shah, Yang Long, Rajiv Ranjan. “Dreamer XL: Towards High-Resolution Text-to-3D Generation via Trajectory Score Matching.” arXiv preprint arXiv:2405.11252. 2024.
2024Teng Ma, Daniel Organisciak, Wenbao Ma, Yang Long. “Towards Cognition-Aligned Visual Language Models via Zero-Shot Instance Retrieval.” Electronics. 2024.
2024Fan Wan, Xingyu Miao, Haoran Duan, Jingjing Deng, Rui Gao, Yang Long. “Sentinel-guided zero-shot learning: A collaborative paradigm without real data exposure.” IEEE Transactions on Circuits and Systems for Video Technology. 2024.
2024Haoran Duan, Shidong Wang, Varun Ojha, Shizheng Wang, Yawen Huang, Yang Long, Rajiv Ranjan, Yefeng Zheng. “Wearable-based behaviour interpolation for semi-supervised human activity recognition.” Information Sciences. 2024.
2024Xingyu Miao, Yang Bai, Haoran Duan, Fan Wan, Yawen Huang, Yang Long, Yefeng Zheng. “Conrf: Zero-shot stylization of 3d scenes with conditioned radiation fields.” arXiv preprint arXiv:2402.01950. 2024.
2024Yuan Zhou, Lei Xiang, Fan Liu, Haoran Duan, Yang Long. “Dynamic visual-guided selection for zero-shot learning.” The Journal of Supercomputing. 2024.
2024Seyma Yucer, Furkan Tektas, Noura Al Moubayed, Toby Breckon. “Racial bias within face recognition: A survey.” 2024.
2024Anoushka Harit, Zhongtian Sun, Jongmin Yu, Noura Al Moubayed. “Monitoring behavioral changes using spatiotemporal graphs: A case study on the studentlife dataset.” NeurIPS 2024 Workshop on Behavioral Machine Learning. 2024.
2024Matthew Watson, Stelios Boulitsakis Logothetis, Darren Green, Mark Holland, Pinkie Chambers, Noura Al Moubayed. “Performance of machine learning versus the national early warning score for predicting patient deterioration risk: a single-site study of emergency admissions.” BMJ Health & Care Informatics. 2024.
2024Sean Farrell, Katharine Anderson, Peter-John Mäntylä Noble, Noura Al Moubayed. “Premature mortality analysis of 52,000 deceased cats and dogs exposes socioeconomic disparities.” Scientific reports. 2024.
2024Matthew Watson, Pinkie Chambers, Luke Steventon, James Harmsworth King, Angelo Ercia, Heather Shaw, Noura Al Moubayed. “From prediction to practice: mitigating bias and data shift in machine-learning models for chemotherapy-induced organ dysfunction across unseen cancers.” BMJ oncology. 2024.
2024Anoushka Harit, Zhongtian Sun, Jongmin Yu, Noura Al Moubayed. “Breaking down financial news impact: A novel ai approach with geometric hypergraphs.” arXiv preprint arXiv:2409.00438. 2024.
2024Heather Davies, Goran Nenadic, Ghada Alfattni, Mercedes Arguello Casteleiro, Noura Al Moubayed, Sean Farrell, Alan D Radford, P-JM Noble. “Text mining for disease surveillance in veterinary clinical data: part two, training computers to identify features in clinical text.” Frontiers in veterinary science. 2024.
2024Sean Farrell, Katharine Anderson, Peter-John Mäntylä Noble, Noura Al-Moubayed. “Premature mortality analysis of 53,000 deceased cats and dogs exposes socioeconomic disparities.” 2024.
2024Peter-John Mäntylä Noble, Sean Oliver Farrell, Noura Al-Moubayed, Alan David Radford. “Comprehensive representation of health-related phenotypes in one million dogs using topic modelling of electronic health records.” 2024.
2024Seyma Yucer, Amir Atapour Abarghouei, Noura Al Moubayed, Toby P Breckon. “Disentangling Racial Phenotypes: Fine-Grained Control of Race-related Facial Phenotype Characteristics.” 2024 International Joint Conference on Neural Networks (IJCNN). 2024.
2024Kun Zhao, Chenghao Xiao, Sixing Yan, Haoteng Tang, William K Cheung, Noura Al Moubayed, Liang Zhan, Chenghua Lin. “X-ray Made Simple: Lay Radiology Report Generation and Robust Evaluation.” arXiv preprint arXiv:2406.17911. 2024.
2024James Burton, Sean Farrell, Peter-John Mäntylä Noble, Noura Al Moubayed. “Explainable text-tabular models for predicting mortality risk in companion animals.” Scientific reports. 2024.
2024Kun Zhao, Chenghao Xiao, Chen Tang, Bohao Yang, Kai Ye, Noura Al Moubayed, Liang Zhan, Chenghua Lin. “X-ray Made Simple: Radiology Report Generation and Evaluation with Layman’s Terms.” arXiv e-prints. 2024.
2024Junjie Shentu, Matthew Watson, Noura Al Moubayed. “AttenCraft: Attention-guided Disentanglement of Multiple Concepts for Text-to-Image Customization.” arXiv preprint arXiv:2405.17965. 2024.
2024Sean Farrell, David Singelton, Alan Radford, Gina Pinchbeck, Peter-John Noble, Noura Al Moubayed. “Automated Disease Classification of Veterinary Clinical Narratives for Antimicrobial Stewardship Guideline Monitoring.” 2024.
2024Thomas Winterbottom, G Thomas Hudson, Daniel Kluvanec, Dean Slack, Jamie Sterling, Junjie Shentu, Chenghao Xiao, Zheming Zhou, Noura Al Moubayed. “The power of next-frame prediction for learning physical laws.” arXiv preprint arXiv:2405.17450. 2024.
2024Jamie Stirling, Noura Al-Moubayed. “Controllable Image Generation With Composed Parallel Token Prediction.” arXiv preprint arXiv:2405.06535. 2024.
2024Chenghao Xiao, G Thomas Hudson, Noura Al Moubayed. “Rar-b: Reasoning as retrieval benchmark.” arXiv preprint arXiv:2404.06347. 2024.
2024Junjie Shentu, Matthew Watson, Noura Al Moubayed. “Textual localization: Decomposing multi-concept images for subject-driven text-to-image generation.” arXiv preprint arXiv:2402.09966. 2024.
2024Chenghao Xiao, Zhuoxu Huang, Danlu Chen, G Thomas Hudson, Yizhi Li, Haoran Duan, Chenghua Lin, Jie Fu, Jungong Han, Noura Al Moubayed. “Pixel sentence representation learning.” arXiv preprint arXiv:2402.08183. 2024.
2024Siwei Wu, Yizhi Li, Kang Zhu, Ge Zhang, Yiming Liang, Kaijing Ma, Chenghao Xiao, Haoran Zhang, Bohao Yang, Wenhu Chen, Wenhao Huang, Noura Al Moubayed, Jie Fu, Chenghua Lin. “Scimmir: Benchmarking scientific multi-modal information retrieval.” 2024.
2024Heather Davies, Goran Nenadic, Ghada Alfattni, Mercedes Arguello Casteleiro, Noura Al Moubayed, Sean O Farrell, Alan D Radford, Peter-John M Noble. “Text mining for disease surveillance in veterinary clinical data: part one, the language of veterinary clinical records and searching for words.” Frontiers in Veterinary Science. 2024.
2024Patrick Leask, Bart Bussmann, Joseph Isaac Bloom, Curt Tigges, Noura Al Moubayed, Neel Nanda. “Stitching sparse autoencoders of different sizes.” NeurIPS 2024 Workshop on Scientific Methods for Understanding Deep Learning. 2024.
2024Junjie Shentu, Noura Al Moubayed. “Cxr-irgen: An integrated vision and language model for the generation of clinically accurate chest x-ray image-report pairs.” Proceedings of the IEEE/CVF winter conference on applications of computer vision. 2024.
2024Ruizhi Liu, Paolo Remagnino. “Stable Single-View 3D Human Digitization via Explicit Geometric Field with Semantic Guidance.” 2024.
2024Ruizhi Liu, Paolo Remagnino. “Robust Single-view 3D Human Digitization via Explicit Geometric Field with Semantic Guidance.” Proceedings of the Asian Conference on Computer Vision. 2024.
2024R.A. Welikala, J. JiriFajtl, Gordon Johnson, Farzana Rahman, Razvan Podoleanu, Paolo Remagnino, E. E. Freeman, Ryan Chambers, Louis Bolter, John Anderson, Abraham Olvera-Barrios, Alasdair Warwick, Paul J. Foster, Royce Shakespeare, Rahul Ganguly, Catherine Egan, Adnan Tufail, C. G. Owen, Alicja R. Rudnicka, S. A. Barman. “Artificial Intelligence-Enabled Retinal Vasculometry at Scale Utilizing the UK Biobank, CLSA, and NEL DESP Datasets.” IEEE EMBS BHI Conference. 2024.
2024Ruizhi Liu, Hubert Shum, Paolo Remagnino. “Neural-Code PIFu: High-Fidelity Single Image 3D Human Reconstruction via Neural Code Integration.” IEEE International conference on Image Processing. 2024.
2024Kanglei Zhou, Ruizhi Cai, Liyuan Wang, Hubert P. H. Shum, Xiaohui Liang. “A Comprehensive Survey of Action Quality Assessment: Method and Benchmark.” 2024.
2024Merryn D Constable, Hubert P. H. Shum, Stephen Clark. “Enhancing Surgical Performance in Cardiothoracic Surgery with Innovations from Computer Vision and Artificial Intelligence: A Narrative Review.” 2024.
2024Sisi Zheng, Francis Xiatian Zhang, Hubert P. H. Shum, Haozheng Zhang, Nan Song, Mingkang Song, Hongxiao Jia. “Unraveling the Brain Dynamics of Depersonalization-Derealization Disorder: A Dynamic Functional Network Connectivity Analysis.” BMC Psychiatry. 2024.
2024Merryn D. Constable, Francis Xiatian Zhang, Tony Conner, Daniel Monk, Jason Rajsic, Claire Ford, Laura Jillian Park, Alan Platt, Debra Porteous, Lawrence Grierson, Hubert P. H. Shum. “Advancing Healthcare Practice and Education via Data Sharing: Demonstrating the Utility of Open Data by Training an Artificial Intelligence Model to Assess Cardiopulmonary ….” Advances in Health Sciences Education. 2024.
2024Haiju Fan, Xiaona Qin, Shuang Chen, Ming Li, Hubert P. H. Shum. “One-Index Vector Quantization Based Adversarial Attack on Image Classification.” Pattern Recognition Letters. 2024.
2024Francis Xiatian Zhang, Shuang Chen, Xianghua Xie, Hubert P. H. Shum. “Depth-Aware Endoscopic Video Inpainting.” Proceedings of the 2024 International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024. 2024.
2024Manli Zhu, Edmond S. L. Ho, Longzhi Yang, Hubert P. H. Shum. “Geometric Features Enhanced Human-Object Interaction Detection.” IEEE Transactions on Instrumentation and Measurement. 2024.
2024Ruizhi Liu, Paolo Remagnino, Hubert P. H. Shum. “Neural-code PIFu: High-fidelity Single Image 3D Human Reconstruction via Neural Code Integration.” Proceedings of the 2024 International Conference on Pattern Recognition (ICPR). 2024.
2024Jinyu Liu, Effie Lai-Chong Law, Hubert P. H. Shum. “Chatbots and Art Critique: A Comparative Study of Chatbot and Human Experts in Traditional Chinese Painting Education.” Proceedings of the 2024 Nordic Conference on Human-Computer Interaction. 2024.
2024Li Li, Tanqiu Qiao, Hubert PH Shum, Toby P Breckon. “TraIL-Det: Transformation-Invariant Local Feature Networks for 3D LiDAR Object Detection with Unsupervised Pre-Training.” Proceedings of the 2024 British Machine Vision Conference (BMVC). 2024.
2024Mridula Vijendran, Frederick WB Li, Jingjing Deng, Hubert PH Shum. “ST-SACLF: Style Transfer Informed Self-Attention Classifier for Bias-Aware Painting Classification.” 2024.
2024Shuang Chen, Amir Atapour-Abarghouei, Haozheng Zhang, Hubert P. H. Shum. “MxT: Mamba x Transformer for Image Inpainting.” Proceedings of the 2024 British Machine Vision Conference (BMVC). 2024.
2024Li Li, Hubert P. H. Shum, Toby P Breckon. “RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation.” Proceedings of the 2024 European Conference on Computer Vision (ECCV). 2024.
2024Tanqiu Qiao, Ruochen Li, Frederick WB Li, Hubert P. H. Shum. “From Category to Scenery: An End-to-End Framework for Multi-Person Human-Object Interaction Recognition in Videos.” Proceedings of the 2024 International Conference on Pattern Recognition (ICPR), 2024. 2024.
2024Abril Corona-Figueroa, Hubert P. H. Shum, Chris G Willcocks. “Repeat and Concatenate: 2D to 3D Image Translation with 3D to 3D Generative Modeling.” Proceedings of the 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 2024.
2024Baiyi Li, Edmond SL Ho, Hubert P. H. Shum, He Wang. “Two-Person Interaction Augmentation with Skeleton Priors.” Proceedings of the 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 2024.
2024Mingyue Liu, Jonathan Frawley, Sarah Wyer, Hubert P. H. Shum, Sara L Uckelman, Sue Black, Chris G Willcocks. “Self-Regulated Sample Diversity in Large Language Models.” Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL). 2024.
2024Kanglei Zhou, Liyuan Wang, Xingxing Zhang, Hubert P. H. Shum, Frederick WB Li, Jianguo Li, Xiaohui Liang. “MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality Assessment.” Proceedings of the 2024 European Conference on Computer Vision (ECCV). 2024.
2024Shuang Chen, Amir Atapour-Abarghouei, Hubert P. H. Shum. “HINT: High-quality INpainting Transformer with Mask-Aware Encoding and Enhanced Attention.” IEEE Transactions on Multimedia. 2024.
2024Luca Crosato, Chongfeng Wei, Edmond SL Ho, Hubert P. H. Shum, Yuzhu Sun. “A Virtual Reality Framework for Human-Driver Interaction Research: Safe and Cost-Effective Data Collection.” 2024.
2024Haozheng Zhang, Edmond SL Ho, Xiatian Zhang, Silvia Del Din, Hubert P. H. Shum. “Pose-based Tremor Type and Level Analysis for Parkinson’s Disease from Video.” International Journal of Computer Assisted Radiology and Surgery. 2024.
2024Kanglei Zhou, Hubert P. H. Shum, Frederick WB Li, Xiaohui Liang. “Multi-Task Spatial-Temporal Graph Auto-Encoder for Hand Motion Denoising.” IEEE Transactions on Visualization and Computer Graphics. 2024.
2024Jiaxu Liu, Zhengdi Yu, Toby P Breckon, Hubert P. H. Shum. “U3DS3: Unsupervised 3D Semantic Scene Segmentation.” Proceedings of the 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 2024.
2024Luca Crosato, Kai Tian, Hubert P. H. Shum, Edmond SL Ho, Yafei Wang, Chongfeng We. “Social Interaction-Aware Dynamical Models and Decision Making for Autonomous Vehicles.” Advanced Intelligent Systems. 2024.
2023Mehdi Rafiei, Toby P Breckon, Alexandros Iosifidis. “On pixel-level performance assessment in anomaly detection.” arXiv preprint arXiv:2310.16435. 2023.
2023Qian Wang, Fanlin Meng, Toby P Breckon. “On fine-tuned deep features for unsupervised domain adaptation.” 2023 International Joint Conference on Neural Networks (IJCNN). 2023.
2023Qian Wang, Toby P Breckon. “Generalized zero-shot domain adaptation via coupled conditional variational autoencoders.” Neural Networks. 2023.
2023FURKAN TEKTAS, NOURA AL MOUBAYED, TOBY P BRECKON. “Racial Bias within Face Recognition: A Survey.” arXiv preprint arXiv:2305.00817. 2023.
2023Qian Wang, Fanlin Meng, Toby P Breckon. “Data augmentation with norm-AE and selective pseudo-labelling for unsupervised domain adaptation.” Neural Networks. 2023.
2023Jack W Barker, Neelanjan Bhowmik, Yona Falinie A Gaus, Toby P Breckon. “Robust semi-supervised anomaly detection via adversarially learned continuous noise corruption.” arXiv preprint arXiv:2303.03925. 2023.
2023Abril Corona-Figueroa, Sam Bond-Taylor, Neelanjan Bhowmik, Yona Falinie A Gaus, Toby P Breckon, Hubert PH Shum, Chris G Willcocks. “Unaligned 2d to 3d translation with conditional vector-quantized code diffusion using transformers.” Proceedings of the IEEE/CVF International Conference on Computer Vision. 2023.
2023Yona Falinie A Gaus, Neelanjan Bhowmik, Brian KS Isaac-Medina, Hubert PH Shum, Amir Atapour-Abarghouei, Toby P Breckon. “Region-based appearance and flow characteristics for anomaly detection in infrared surveillance imagery.” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2023.
2023Brian KS Isaac-Medina, Seyma Yucer, Neelanjan Bhowmik, Toby P Breckon. “Seeing through the data: A statistical evaluation of prohibited item detection benchmark datasets for X-ray security screening.” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2023.
2023Li Li, Hubert PH Shum, Toby P Breckon. “Less is more: Reducing task and model complexity for 3d point cloud semantic segmentation.” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2023.
2023Zhengdi Yu, Shaoli Huang, Chen Fang, Toby P Breckon, Jue Wang. “Acr: Attention collaboration-based regressor for arbitrary two-hand reconstruction.” Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. 2023.
2023Benjamin Kiefer, Matej Kristan, Janez Perš, Lojze Žust, Fabio Poiesi, Fabio Andrade, Alexandre Bernardino, Matthew Dawkins, Jenni Raitoharju, Yitong Quan, Adem Atmaca, Timon Höfer, Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao, Lars Sommer, Raphael Spraul, Hangyue Zhao, Hongpu Zhang, Yanyun Zhao, Jan Lukas Augustin, Eui-ik Jeon, Impyeong Lee, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Sagar Verma, Siddharth Gupta, Shishir Muralidhara, Niharika Hegde, Daitao Xing, Nikolaos Evangeliou, Anthony Tzes, Vojtěch Bartl, Jakub Špaňhel, Adam Herout, Neelanjan Bhowmik, Toby P Breckon, Shivanand Kundargi, Tejas Anvekar, Ramesh Ashok Tabib, Uma Mudenagudi, Arpita Vats, Yang Song, Delong Liu, Yonglin Li, Shuman Li, Chenhao Tan, Long Lan, Vladimir Somers, Christophe De Vleeschouwer, Alexandre Alahi, Hsiang-Wei Huang, Cheng-Yen Yang, Jenq-Neng Hwang, Pyong-Kun Kim, Kwangju Kim, Kyoungoh Lee, Shuai Jiang, Haiwen Li, Zheng Ziqiang, Tuan-Anh Vu, Hai Nguyen-Truong, Sai-Kit Yeung, Zhuang Jia, Sophia Yang, Chih-Chung Hsu, Xiu-Yu Hou, Yu-An Jhang, Simon Yang, Mau-Tsuen Yang. “1st workshop on maritime computer vision (macvi) 2023: Challenge results.” Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. 2023.
2023Brian KS Isaac-Medina, Chris G Willcocks, Toby P Breckon. “Exact-nerf: An exploration of a precise volumetric parameterization for neural radiance fields.” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2023.
2023Wiktoria Rajewicz, Chao Wu, Donato Romano, Alexandre Campo, Farshad Arvin, Alexander J Casson, Godfried Jansen van Vuuren, Cesare Stefanini, Joshua Cherian Varughese, Barry Lennox, Sarah Schönwetter-Fuchs, Thomas Schmickl, Ronald Thenius. “Organisms as sensors in biohybrid entities as a novel tool for in-field aquatic monitoring.” Bioinspiration & Biomimetics. 2023.
2023Fatemeh Rekabi-Bana, Junyan Hu, Tomáš Krajník, Farshad Arvin. “Unified robust path planning and optimal trajectory generation for efficient 3D area coverage of quadrotor UAVs.” IEEE Transactions on Intelligent Transportation Systems. 2023.
2023Songtao Xie, Zhenhong Li, Farshad Arvin, Zhengtao Ding. “A Review of Multi-vehicle Cooperative Control System in Intelligent Transportation.” 2023.
2023Mazen Bahaidarah, Ognjen Marjanovic, Fatemeh Rekabi-Bana, Farshad Arvin. “An Optimised Robot Swarm Flocking with Genetic Algorithm.” 2023 IEEE International Conference on Mechatronics and Automation (ICMA). 2023.
2023Yifeng He, Kanzhong Yao, Barry Lennox, Farshad Arvin. “Exploration of Underwater Environments with a Swarm of Heterogeneous Surface Robots.” 2023.
2023Jiří Ulrich, Jan Blaha, Ahmad Alsayed, Tomáš Rouček, Farshad Arvin, Tomáš Krajník. “Real Time Fiducial Marker Localisation System with Full 6 DOF Pose Estimation.” ACM SIGAPP Applied Computing Review. 2023.
2023Fatemeh Rekabi-Bana, Martin Stefanec, Jiří Ulrich, Erhan E Keyvan, Tomáš Rouček, George Broughton, Bilal Y Gündeǧer, Ömer Sahin, Ali E Turgut, Erol Şahin, Tomáš Krajník, Thomas Schmickl, Farshad Arvin. “Mechatronic Design for Multi Robots-Insect Swarms Interactions.” 2023 IEEE International Conference on Mechatronics (ICM). 2023.
2023Songtao Xie, Junyan Hu, Zhengtao Ding, Farshad Arvin. “Distributed Cooperative Autonomous Driving of Intelligent Vehicles Based on Spring-Damper Energy System.” 2023.
2023Kefan Wu, Junyan Hu, Zhengtao Ding, Farshad Arvin. “Finite-time fault-tolerant formation control for distributed multi-vehicle networks with bearing measurements.” IEEE Transactions on Automation Science and Engineering. 2023.
2023Seongin Na, Tomáš Rouček, Jiří Ulrich, Jan Pikman, Tom s Krajník, Barry Lennox, Farshad Arvin. “Federated Reinforcement Learning for Collective Navigation of Robotic Swarms.” IEEE Transactions on Cognitive and Developmental Systems. 2023.
2023Kefan Wu, Junyan Hu, Zhengtao Ding, Farshad Arvin. “Distributed Bearing-Only Formation Control for Heterogeneous Nonlinear Multi-Robot Systems.” IFAC-PapersOnLine. 2023.
2023Mohamad Elhadi Abushofa, Amir Atapour Abarghouei, Matthew Forshaw, Andrew Stephen Mcgough. “FEGR: Feature Enhanced Graph Representation Method for Graph Classification.” 2023.
2023Shuang Chen, Amir Atapour-Abarghouei, Edmond SL Ho, Hubert PH Shum. “INCLG: Inpainting for non-cleft lip generation with a multi-task image processing network.” Software Impacts. 2023.
2023Mahsa Vali, Massood Mohammadi, Nasim Zarei, Melika Samadi, Amir Atapour-Abarghouei, Wasu Supakontanasan, Yanin Suwan, Prem S Subramanian, Neil R Miller, Rahele Kafieh, Masoud Aghsaei Fard. “Differentiating Glaucomatous Optic Neuropathy From Non-glaucomatous Optic Neuropathies Using Deep Learning Algorithms.” American Journal of Ophthalmology. 2023.
2023Mehmet Cengiz, Matthew Forshaw, Amir Atapour-Abarghouei, Andrew Stephen McGough. “Predicting the Performance of a Computing System with Deep Networks.” 2023.
2023Yona Falinie A Gaus, Neelanjan Bhowmik, Brian KS Isaac-Medina, Hubert PH Shum, Amir Atapour-Abarghouei, Toby P Breckon. “Region-based appearance and flow characteristics for anomaly detection in infrared surveillance imagery.” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2023.
2023Kefan Wu, Junyan Hu, Zhengtao Ding, Farshad Arvin. “Distributed Bearing-Only Formation Control for Heterogeneous Nonlinear Multi-Robot Systems.” 2023 IFAC World Congress. 2023.
2023Songtao Xie, Junyan Hu, Zhengtao Ding, Farshad Arvin. “Cooperative Adaptive Cruise Control for Connected Autonomous Vehicles Using Spring Damping Energy Model.” IEEE Transactions on Vehicular Technology. 2023.
2023Cédric Gérot, Ioannis Ivrissimtzis. “Bivariate non-uniform subdivision schemes based on L-systems.” Applied Mathematics and Computation. 2023.
2023Latifah Abduh, Ioannis Ivrissimtzis. “Race bias analysis of bona fide errors in face anti-spoofing.” 2023.
2023Jindi Wang, Ioannis Ivrissimtzis, Zhaoxing Li, Yunzhan Zhou, Lei Shi. “Exploring the potential of immersive virtual environments for learning american sign language.” 2023.
2023Jindi Wang, Ioannis Ivrissimtzis, Zhaoxing Li, Yunzhan Zhou, Lei Shi. “Developing and evaluating a novel gamified virtual learning environment for asl.” 2023.
2023Latifah Abduh, Luma Omar, Ioannis P Ivrissimtzis. “Anomaly Detection with Transformer in Face Anti-spoofing..” J. WSCG. 2023.
2023Jindi Wang, Ioannis Ivrissimtzis, Zhaoxing Li, Yunzhan Zhou, Lei Shi. “User-defined hand gesture interface to improve user experience of learning american sign language.” 2023.
2023Valentina Nisi, Stuart James, Paulo Bala, Alessio Del Bue, Nuno Jardim Nunes. “Inclusive digital storytelling: artificial intelligence and augmented reality to re-centre stories from the margins.” 2023.
2023Valentina Nisi, Paulo Bala, Vanessa Cesário, Stuart James, Alessio Del Bue, Nuno Jardim Nunes. “” Connected to the people”: Social Inclusion & Cohesion in Action through a Cultural Heritage Digital Tool.” Proceedings of the ACM on Human-Computer Interaction. 2023.
2023Matteo Toso, Matteo Taiana, Stuart James, Alessio Del Bue. “3DoF Localization from a Single Image and an Object Map: the Flatlandia Problem and Dataset.” arXiv preprint arXiv:2304.06373. 2023.
2023Hebatallah A Mohamed, Diego Pilutti, Stuart James, Alessio Del Bue, Marcello Pelillo, Sebastiano Vascon. “Locality-aware subgraphs for inductive link prediction in knowledge graphs.” Pattern Recognition Letters. 2023.
2023Matteo Toso, Matteo Taiana, Stuart James, Alessio Del Bue. “You are here! finding position and orientation on a 2d map from a single image: The flatlandia localization problem and dataset.” arXiv preprint arXiv:2304.06373. 2023.
2023Miguel Arevalillo-Herráez, Stamos Katsigiannis, Fehaid Alqahtani, Pablo Arnau-González. “Fusing ECG signals and IRT models for task difficulty prediction in computerised educational systems.” Knowledge-Based Systems. 2023.
2023Stamos Katsigiannis, Saleh Seyedzadeh, Andrew Agapiou, Naeem Ramzan. “Deep learning for crack detection on masonry façades using limited data and transfer learning.” Journal of Building Engineering. 2023.
2023Shrikant Malviya, Rebecca Owens, Jehana Copilah-Ali, Karen Elliot, Ben Farrand, Cristina Neesham, Lei Shi, Vasilis Vlachokyriakos, Stamos Katsigiannis, Aad van Moorsel. “AGENCY—written evidence (LLM0028) for House of Lords Communications and Digital Select Committee inquiry: Large language models.” 2023.
2023Rebecca Owens, Jehana Copilah-Ali, Maxim Kolomeets, Shrikant Malviya, Karolina Markeviciute, Shola Olabode, Tasos Spiliotopoulos, Han Wu, Viana Nijia Zhang, Kovila Coopamootoo, Abigail Durrant, Karen Elliott, Stamos Katsigiannis, Cristina Neesham, Lei Shi, Ben Farrand. “Reimagining AI Governance: a Response by AGENCY to the UK Government’s White Paper AI Regulation.” 2023.
2023JASY Jayasinghe, Stamos Katsigiannis, Lakmini Malasinghe. “Comparative Study of Face Tracking Algorithms for Remote Photoplethysmography.” International Conference on Electrical, Computer and Energy Technologies (ICECET). 2023.
2023Pablo Arnau-González, Ana Serrano-Mamolar, Stamos Katsigiannis, Miguel Arevalillo-Herráez. “Towards automatic tutoring of custom student-stated math word problems.” 2023.
2023Pablo Arnau-González, Ana Serrano-Mamolar, Stamos Katsigiannis, Turke Althobaiti, Miguel Arevalillo-Herráez. “Towards automatic tutoring of Math Word Problems in Intelligent Tutoring Systems.” IEEE Access. 2023.
2023Fatma Elsafoury, Stamos Katsigiannis. “On Bias and Fairness in NLP: Investigating the Impact of Bias and Debiasing in Language Models on the Fairness of Toxicity Detection.” arXiv preprint arXiv:2305.12829. 2023.
2023David Sibrina, Sarath Bethapudi, George Alex Koulieris. “OrthopedVR: clinical assessment and pre-operative planning of paediatric patients with lower limb rotational abnormalities in virtual reality.” The Visual Computer. 2023.
2023Jesús Vera, Beatriz Redondo, George-Alex Koulieris, Raimundo Jiménez, Amador García-Ramos. “Effect of wearing different types of face masks during dynamic and isometric resistance training on intraocular pressure.” Clinical and Experimental Optometry. 2023.
2023Jesús Vera, Beatriz Redondo, José Miguel Martínez‐Tovar, Rubén Molina, George A Koulieris, Peter M Allen, Raimundo Jiménez. “Effect of manipulating the vergence/accommodation and image size mismatches of the±2D flipper test on the frequency and precision of accommodative facility.” Ophthalmic and Physiological Optics. 2023.
2023Andreas Polychronakis, George Alex Koulieris, Katerina Mania. “An Inverted Pyramid Acceleration Structure Guiding Foveated Sphere Tracing for Implicit Surfaces in VR.” Eurographics Symposium on Rendering. 2023.
2023David Sibrina, Sarath Bethapudi, George Alex Koulieris. “A Virtual Reality System for the Assessment of Patients with Lower Limb Rotational Abnormalities.” 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). 2023.
2023Jesús Vera, Beatriz Redondo, Tomás Galan, Pedro Machado, Rubén Molina, George-Alex Koulieris, Raimundo Jiménez. “Dynamics of the accommodative response and facility with dual-focus soft contact lenses for myopia control.” Contact Lens and Anterior Eye. 2023.
2023Zhaoyi Jiang, Guoliang Wang, Gary KL Tam, Chao Song, Frederick WB Li, Bailin Yang. “An end-to-end dynamic point cloud geometry compression in latent space.” Displays. 2023.
2023Kanglei Zhou, Hubert PH Shum, Frederick WB Li, Xiaohui Liang. “Multi-task spatial-temporal graph auto-encoder for hand motion denoising.” IEEE Transactions on Visualization and Computer Graphics. 2023.
2023Kanglei Zhou, Chen Chen, Yue Ma, Zhiying Leng, Hubert PH Shum, Frederick WB Li, Xiaohui Liang. “A mixed reality training system for hand-object interaction in simulated microgravity environments.” 2023 IEEE international symposium on mixed and augmented reality (ISMAR). 2023.
2023Yunchi Cen, Chen Li, Frederick WB Li, Bailin Yang, Xiaohui Liang. “A differential diffusion theory for participating media.” Computer Graphics Forum. 2023.
2023Bailin Yang, Zheng Chen, Frederick WB Li, Haoqiang Sun, Jianlu Cai. “DrawGAN: Multi-view Generative Model Inspired by the Artist’s Drawing Method.” 2023.
2023Kubra Kaymakci Ustuner, Effie Lai-Chong Law, Frederick WB Li. “Digital Educational Games with Storytelling for Students to Learn Algebra.” 2023.
2023Zhiying Leng, Shun-cheng Wu, Frederick WB Li, Federico Tombari, Xiaohui Liang. “PointHGN: Point Heterogeneous Graph Neural Network for Point Cloud Learning.” 2023 IEEE International Conference on Multimedia and Expo Workshops (ICMEW). 2023.
2023Zhaoyi Jiang, Luyun Ding, Gary Tam, Chao Song, Frederick W.B. Li, Bailin Yang. “C2SPoint: A classification-to-saliency network for point cloud saliency detection.” Computers & Graphics. 2023.
2023Carina S González-González, Baltasar Fernández-Manjón, Frederick Li, Francisco José García-Peñalvo, Filippo Sciarrone, Marc Spaniol, Alicia García-Holgado, Manuel Area-Moreira, Matthias Hemmje, Tianyong Hao. “Learning Technologies and Systems: 21st International Conference on Web-Based Learning, ICWL 2022, and 7th International Symposium on Emerging Technologies for Education, SETE ….” 2023.
2023Kanglei Zhou, Ruizhi Cai, Yue Ma, Qingqing Tan, Xinning Wang, Jianguo Li, Hubert PH Shum, Frederick WB Li, Song Jin, Xiaohui Liang. “A video-based augmented reality system for human-in-the-loop muscle strength assessment of juvenile dermatomyositis.” IEEE Transactions on Visualization and Computer Graphics. 2023.
2023Mridula Vijendran, Frederick WB Li, Jingjing Deng, Hubert PH Shum. “ST-SACLF: Style Transfer Informed Self-Attention Classifier for Bias-Aware Painting Classification.” 2023.
2023Bailin Yang, Changrui Zhu, Frederick WB Li, Tianxiang Wei, Xiaohui Liang, Qingxu Wang. “IAACS: Image aesthetic assessment through color composition and space formation.” Virtual Reality & Intelligent Hardware. 2023.
2023Mridula Vijendran, Frederick WB Li, Hubert PH Shum. “Tackling data bias in painting classification with style transfer.” arXiv preprint arXiv:2301.02524. 2023.
2023Bailin Yang, Haoqiang Sun, Frederick WB Li, Zheng Chen, Jianlu Cai, Chao Song. “HSE: Hybrid species embedding for deep metric learning.” Proceedings of the IEEE/CVF international conference on computer vision. 2023.
2023Yin Wang, Zhiying Leng, Frederick WB Li, Shun-Cheng Wu, Xiaohui Liang. “Fg-t2m: Fine-grained text-driven human motion generation via diffusion model.” Proceedings of the IEEE/CVF international conference on computer vision. 2023.
2023Jianqiang Zhang, Kai Qian, Da Qiu, Guoping Zhang, Yang Long, Li Zhu, Song Liu. “FBG strain monitoring data denoising in wind turbine blades based on parameter-optimized variational mode decomposition method.” Optical Fiber Technology. 2023.
2023Feiyang Yang, Xiongfei Li, Haoran Duan, Feilong Xu, Yawen Huang, Xiaoli Zhang, Yang Long, Yefeng Zheng. “Mrl-seg: Overcoming imbalance in medical image segmentation with multi-step reinforcement learning.” IEEE Journal of Biomedical and Health Informatics. 2023.
2023Jiyao Pu, Haoran Duan, Junzhe Zhao, Yang Long. “Rules for expectation: Learning to generate rules via social environment modeling.” IEEE Transactions on Circuits and Systems for Video Technology. 2023.
2023Chao Xu, Jianjun Tan, Jie Jiao, Yang Long. “Genetic Algorithm with Quality of Population Evolution for Mobile Robot Path Planning Problem.” 2023 3rd International Conference on Networking Systems of AI (INSAI). 2023.
2023Shanmin Pang, Xin He, Wenyu Hao, Yang Long. “Feature fine-tuning and attribute representation transformation for zero-shot learning.” Computer Vision and Image Understanding. 2023.
2023Junyan Wang, Yiqi Jiang, Yang Long, Xiuyu Sun, Maurice Pagnucco, Yang Song. “Deconfounding causal inference for zero-shot action recognition.” IEEE Transactions on Multimedia. 2023.
2023Xingyu Miao, Yang Bai, Haoran Duan, Yawen Huang, Fan Wan, Xinxing Xu, Yang Long, Yefeng Zheng. “Ds-depth: Dynamic and static depth estimation via a fusion cost volume.” IEEE Transactions on Circuits and Systems for Video Technology. 2023.
2023Taotao Li, Zhenyu Wen, Yang Long, Zhen Hong, Shilian Zheng, Li Yu, Bo Chen, Xiaoniu Yang, Ling Shao. “The importance of expert knowledge for automatic modulation open set recognition.” IEEE Transactions on Pattern Analysis and Machine Intelligence. 2023.
2023Rui Gao, Fan Wan, Daniel Organisciak, Jiyao Pu, Haoran Duan, Peng Zhang, Xingsong Hou, Yang Long. “Privacy-enhanced zero-shot learning via data-free knowledge transfer.” 2023 IEEE International Conference on Multimedia and Expo (ICME). 2023.
2023Fan Wan, Junyan Wang, Haoran Duan, Yang Song, Maurice Pagnucco, Yang Long. “Community-aware federated video summarization.” 2023 International Joint Conference on Neural Networks (IJCNN). 2023.
2023Peng Zhang, Yang Bai, Jie Su, Yan Huang, Yang Long. “Towards few-shot image captioning with cycle-based compositional semantic enhancement framework.” 2023 International Joint Conference on Neural Networks (IJCNN). 2023.
2023Binghua Shi, Chen Wang, Yi Di, Jia Guo, Ziteng Zhang, Yang Long. “Research on a horizon line detection method for unmanned surface vehicles in complex environments.” Journal of Marine Science and Engineering. 2023.
2023Jie Zhang, Shengbin Liao, Haofeng Zhang, Yang Long, Zheng Zhang, Li Liu. “Data driven recurrent generative adversarial network for generalized zero shot image classification.” Information Sciences. 2023.
2023Olanrewaju Tahir Aduragba, Jialin Yu, Alexandra Cristea, Yang Long. “Improving health mention classification through emphasising literal meanings: A study towards diversity and generalisation for public health surveillance.” 2023.
2023Yang Long, Song Liu, Da Qiu, Changzhen Li, Xuan Guo, Binghua Shi, Mahmoud S AbouOmar. “Local path planning with multiple constraints for USV based on improved bacterial foraging optimization algorithm.” Journal of Marine Science and Engineering. 2023.
2023Haoran Duan, Yang Long, Shidong Wang, Haofeng Zhang, Chris G Willcocks, Ling Shao. “Dynamic unary convolution in transformers.” IEEE Transactions on Pattern Analysis and Machine Intelligence. 2023.
2023Lei Xiang, Yuan Zhou, Haoran Duan, Yang Long. “Dual Feature Augmentation Network for Generalized Zero-shot Learning.” British Machine Vision Conference (BMVC). 2023.
2023Rui Gao, Fan Wan, Daniel Organisciak, Jiyao Pu, Junyan Wang, Haoran Duan, Peng Zhang, Xingsong Hou, Yang Long. “Absolute Zero-Shot Learning.” IEEE International Conference on Multimedia and Expo (ICME). 2023.
2023Nikos Mavrakis, Tu-Hoa Pham, Philip Bailey. “Pose Estimation for Rover-to-Lander Tube Transfer for Mars Sample Return.” IEEE Aerospace Conference. 2023.
2023Chenghao Xiao, G Thomas Hudson, Noura Al Moubayed. “Towards more human-like language models based on contextualizer pretraining strategy.” Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning. 2023.
2023James Burton, Noura Al Moubayed. “SHAP explanations for multimodal text-tabular models.” 2023.
2023Chenghao Xiao, Yizhi Li, G Thomas Hudson, Chenghua Lin, Noura Al Moubayed. “Length is a Curse and a Blessing for Document-level Semantics.” Proceedings of the Conference on Empirical Methods in Natural Language Processing EMNLP23. 2023.
2023Sean Farrell, Charlotte Appleton, Peter-John Mäntylä Noble, Noura Al Moubayed. “PetBERT: automated ICD-11 syndromic disease coding for outbreak detection in first opinion veterinary electronic health records.” Scientific reports. 2023.
2023Yang Wang, Qibin Liang, Chenghao Xiao, Yizhi Li, Noura Al Moubayed, Chenghua Lin. “Audio Contrastive based fine-tuning.” arXiv preprint arXiv:2309.11895. 2023.
2023Pinkie Chambers, Matthew Watson, John Bridgewater, Martin D Forster, Rebecca Roylance, Rebecca Burgoyne, Sebastian Masento, Luke Steventon, James Harmsworth King, Nick Duncan, Noura Al Moubayed. “Personalising monitoring for chemotherapy patients through predicting deterioration in renal and hepatic function.” Cancer Medicine. 2023.
2023Stelios Boulitsakis Logothetis, Darren Green, Mark Holland, Noura Al Moubayed. “Predicting acute clinical deterioration with interpretable machine learning to support emergency care decision making.” Scientific reports. 2023.
2023James Burton, Noura Al Moubayed, Amir Enshaei. “Natural language explanations for machine learning classification decisions.” 2023 International Joint Conference on Neural Networks (IJCNN). 2023.
2023Jamie Stirling, Noura Al Moubayed. “Addressing Performance Inconsistency in Domain Generalization for Image Classification.” 2023 International Joint Conference on Neural Networks (IJCNN). 2023.
2023Daniel Kluvanec, Kenneth JW McCaffrey, Thomas B Phillips, Noura Al Moubayed. “Negation invariant representations of 3-D vectors for deep learning models applied to fault geometry mapping in 3-D seismic reflection data.” IEEE Transactions on Geoscience and Remote Sensing. 2023.
2023FURKAN TEKTAS, NOURA AL MOUBAYED, TOBY P BRECKON. “Racial Bias within Face Recognition: A Survey.” arXiv preprint arXiv:2305.00817. 2023.
2023Pinkie Chambers, Matthew Watson, Rebecca Buroyne, Noura Al Moubayed. “Stratification of patient blood testing pathways through predicting deterioration in renal and hepatic function..” Journal of Oncology Pharmacy Practice. 2023.
2023Matthew Watson, Bashar Awwad Shiekh Hasan, Noura Al Moubayed. “Author Correction: Using model explanations to guide deep learning models towards consistent explanations for EHR data.” Scientific Reports. 2023.
2023Sean Farrell, Peter-John Mäntylä Noble, Noura Al-Moubayed. “Natural language processing for forecasting mortality and premature death in companion animals.” 2023.
2023Jialin Yu, Alexandra I Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed. “Language as a latent sequence: Deep latent variable models for semi-supervised paraphrase generation.” AI Open. 2023.
2023Chenghao Xiao, Zihuiwen Ye, G Thomas Hudson, Zhongtian Sun, Phil Blunsom, Noura Al Moubayed. “Can Text Encoders be Deceived by Length Attack?.” 2023.
2023Jialin Yu, Alexandra I Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed. “Deep Latent Variable Models for Semi-supervised Paraphrase Generation.” CoRR. 2023.
2023Matthew Watson, Bashar Awwad Shiekh Hasan, Noura Al Moubayed. “Learning how to mimic: Using model explanations to guide deep learning training.” Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. 2023.
2023Abraham Olvera-Barrios, Alicja R Rudnicka, John Anderson, Louis Bolter, Ryan Chambers, Alasdair N Warwick, Roshan Welikala, Jiri Fajtl, Sarah Barman, Paolo Remagnino, Yue Wu, Aaron Y Lee, Emily Y Chew, Frederick L Ferris, Aroon Hingorani, Reecha Sofat, Catherine A Egan, Adnan Tufail, Christopher G Owen. “Two-year recall for people with no diabetic retinopathy: a multi-ethnic population-based retrospective cohort study using real-world data to quantify the effect.” British Journal of Ophthalmology. 2023.
2023Shreekantha Devasya, Markus Eisenhauer, Christian Beecks, Karim Haddad, Mahdi Maktab Dar Oghaz, Paolo Remagnino, Jacopo Foglietti, Francesco Sottile, Georgios Stavropoulos, Arjen Schoneveld, Peeter Kool. “IoT in Large-Scale Events.” 2023.
2023Parminder Kaur, Daniela Gigante, Marco Caccianiga, Simonetta Bagella, Claudia Angiolini, Manolo Garabini, Franco Angelini, Paolo Remagnino. “Segmentation and identification of Mediterranean plant species.” 2023.
2023Franco Angelini, Pierangela Angelini, Claudia Angiolini, Simonetta Bagella, Fabio Bonomo, Marco Caccianiga, Cosimo Della Santina, Daniela Gigante, Marco Hutter, Thrishantha Nanayakkara, Paolo Remagnino, Diego Torricelli, Manolo Garabini. “Robotic monitoring of habitats: The natural intelligence approach.” IEEE Access. 2023.
2023Senthilmani Rajendran, Jian Han Lim, Kohgulakuhan Yogalingam, Thomas George Kallarakkal, Rosnah Binti Zain, Ruwan Duminda Jayasinghe, Jyotsna Rimal, Alexander Ross Kerr, Rahmi Amtha, Karthikeya Patil, Roshan Alex Welikala, Ying Zhi Lim, Paolo Remagnino, John Gibson, Wanninayake Mudiyanselage Tilakaratne, Chee Sun Liew, Yi‐Hsin Yang, Sarah Ann Barman, Chee Seng Chan, Sok Ching Cheong. “Image collection and annotation platforms to establish a multi‐source database of oral lesions.” Oral Diseases. 2023.
2023“Ethnic disparities in progression rates for sight-threatening diabetic retinopathy in diabetic eye screening: a population based retrospective cohort study.” BMJ Open Diabetes Research & Care. 2023.
2023Zhengzhi Lu, He Wang, Ziyi Chang, Guoan Yang, Hubert P. H. Shum. “Hard No-Box Adversarial Attack on Skeleton-Based Human Action Recognition with Skeleton-Motion-Informed Gradient.” Proceedings of the 2023 IEEE/CVF International Conference on Computer Vision (ICCV). 2023.
2023Xiatian Zhang, Sisi Zheng, Hubert PH Shum, Haozheng Zhang, Nan Song, Mingkang Song, Hongxiao Jia. “Correlation-Distance Graph Learning for Treatment Response Prediction from rs-fMRI.” Proceedings of the 2023 International Conference on Neural Information Processing (ICONIP). 2023.
2023Kanglei Zhou, Yue Ma, Hubert P. H. Shum, Xiaohui Liang. “Hierarchical Graph Convolutional Networks for Action Quality Assessment.” IEEE Transactions on Circuits and Systems for Video Technology. 2023.
2023Qianhui Men, Edmond SL Ho, Hubert P. H. Shum, Howard Leung. “Focalized Contrastive View-Invariant Learning for Self-Supervised Skeleton-Based Action Recognition.” Neurocomputing. 2023.
2023Abril Corona-Figueroa, Sam Bond-Taylor, Neelanjan Bhowmik, Yona Falinie A Gaus, Toby P Breckon, Hubert P. H. Shum, Chris G Willcocks. “Unaligned 2D to 3D Translation with Conditional Vector-Quantized Code Diffusion using Transformers.” Proceedings of the 2023 IEEE/CVF International Conference on Computer Vision (ICCV),. 2023.
2023Qi Feng, Hubert P. H. Shum, Shigeo Morishima. “Enhancing Perception and Immersion in Pre-Captured Environments through Learning-Based Eye Height Adaptation.” Enhancing Perception and Immersion in Pre-Captured Environments through Learning-Based Eye Height Adaptation. 2023.
2023Kanglei Zhou, Chen Chen, Yue Ma, Zhiying Leng, Hubert P. H. Shum, Frederick WB Li, Xiaohui Liang. “A Mixed Reality Training System for Hand-Object Interaction in Simulated Microgravity Environments.” Proceedings of the 2023 International Symposium on Mixed and Augmented Reality. 2023.
2023Shuang Chen, Amir Atapour-Abarghouei, Edmond SL Ho, Hubert P. H. Shum. “INCLG: Inpainting for Non-Cleft Lip Generation with a Multi-Task Image Processing Network.” Software Impacts (SIMPAC). 2023.
2023Yona Falinie A Gaus, Neelanjan Bhowmik, Brian KS Isaac-Medina, Hubert P. H. Shum, Amir Atapour-Abarghouei, Toby P Breckon. “Region-Based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery.” Proceedings of the 2023 IEEE/CVF Computer Vision and Pattern Recognition Conference Workshop. 2023.
2023Li Li, Hubert P. H. Shum, Toby P Breckon. “Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation.” Proceedings of the 2023 IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR). 2023.
2023Kanglei Zhou, Ruizhi Cai, Yue Ma, Qingqing Tan, Xinning Wang, Jianguo Li, Hubert P. H. Shum, Frederick WB Li, Song Jin, Xiaohui Liang. “A Video-Based Augmented Reality System for Human-in-the-Loop Muscle Strength Assessment of Juvenile Dermatomyositis.” IEEE Transactions on Visualization and Computer Graphics. 2023.
2023Mridula Vijendran, Frederick WB Li, Hubert P. H. Shum. “Tackling Data Bias in Painting Classification with Style Transfer.” Proceedings of the 2023 International Conference on Computer Vision Theory and Applications (VISAPP). 2023.
2023Ziyi Chang, Edmund JC Findlay, Haozheng Zhang, Hubert P. H. Shum. “Unifying Human Motion Synthesis and Style Transfer with Denoising Diffusion Probabilistic Models.” Proceedings of the 2023 International Conference on Computer Graphics Theory and Applications (GRAPP). 2023.
2023Luca Crosato, Hubert P. H. Shum, Edmond S. L. Ho, Chongfeng Wei. “Interaction-Aware Decision-Making for Automated Vehicles using Social Value Orientation.” IEEE Transactions on Intelligent Vehicles. 2023.
2022Neelanjan Bhowmik, Toby P Breckon. “Joint sub-component level segmentation and classification for anomaly detection within dual-energy X-ray security imagery.” 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA). 2022.
2022Aishah Alsehaim, Toby P Breckon, Princess Nourah Bint Abdulrahman. “VID-Trans-ReID: Enhanced Video Transformers for Person Re-identification..” BMVC. 2022.
2022Sam Bond-Taylor, Peter Hessey, Hiroshi Sasaki, Toby P Breckon, Chris G Willcocks. “Unleashing transformers: Parallel token prediction with discrete absorbing diffusion for fast high-resolution image generation from vector-quantized codes.” 2022.
2022Seyma Yucer, Matt Poyser, Noura Al Moubayed, Toby P Breckon. “Does lossy image compression affect racial bias within face recognition?.” 2022 IEEE International Joint Conference on Biometrics (IJCB). 2022.
2022Brian KS Isaac-Medina, Chris G Willcocks, Toby P Breckon. “Multi-view vision transformers for object detection.” 2022 26th International Conference on Pattern Recognition (ICPR). 2022.
2022Michael Groom, Toby P Breckon. “On Depth Error from Spherical Camera Calibration within Omnidirectional Stereo Vision.” 2022 26th International Conference on Pattern Recognition (ICPR). 2022.
2022William Prew, Toby Breckon, Magnus Bordewich, Ulrik Beierholm. “Evaluating Gaussian Grasp Maps for Generative Grasping Models.” 2022 International Joint Conference on Neural Networks (IJCNN). 2022.
2022BKS Isaac-Medina, N Bhowmik, CG Willcocks, TP Breckon. “Cross-modal Image Synthesis in Dual-Energy X-Ray Security Imagery.” 2022.
2022Simon GE Gökstorp, Toby P Breckon. “Temporal and non-temporal contextual saliency analysis for generalized wide-area search within unmanned aerial vehicle (uav) video.” The visual computer. 2022.
2022Bing Wang, Zhengdi Yu, Bo Yang, Jie Qin, Toby Breckon, Ling Shao, Niki Trigoni, Andrew Markham. “Rangeudf: Semantic surface reconstruction from 3d point clouds.” arXiv preprint arXiv:2204.09138. 2022.
2022Qian Wang, Toby P Breckon. “Cross-domain structure preserving projection for heterogeneous domain adaptation.” Pattern Recognition. 2022.
2022Samet Akcay, Toby Breckon. “Towards automatic threat detection: A survey of advances of deep learning within X-ray security imaging.” 2022.
2022Qian Wang, Toby P Breckon. “Crowd counting via segmentation guided attention networks and curriculum loss.” IEEE Transactions on Intelligent Transportation Systems. 2022.
2022Brian KS Isaac-Medina, Neelanjan Bhowmik, Chris G Willcocks, Toby P Breckon. “Cross-modal image synthesis within dual-energy X-ray security imagery.” Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. 2022.
2022Neelanjan Bhowmik, Jack W Barker, Yona Falinie A Gaus, Toby P Breckon. “Lost in compression: the impact of lossy image compression on variable size object detection within infrared imagery.” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2022.
2022Seyma Yucer, Furkan Tektas, Noura Al Moubayed, Toby P Breckon. “Measuring hidden bias within face recognition via racial phenotypes.” Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. 2022.
2022Kristi Žampachů, Jiří Ulrich, Tomáš Rouček, Martin Stefanec, Dominik Dvořáček, Laurenz Fedotoff, Daniel Nicolas Hofstadler, Fatemeh Rekabi-Bana, George Broughton, Farshad Arvin, Thomas Schmickl, Tomáš Krajník. “A Vision-based System for Social Insect Tracking.” 2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI). 2022.
2022Songtao Xie, Junyan Hu, Zhengtao Ding, Farshad Arvin. “Cooperative adaptive cruise control for connected autonomous vehicles using spring damping energy model.” IEEE Transactions on Vehicular Technology. 2022.
2022Cem Bilaloğlu, Mehmet Şahin, Farshad Arvin, Erol Şahin, Ali Emre Turgut. “A novel time-of-flight range and bearing sensor system for micro air vehicle swarms.” 2022.
2022Mazen Bahaidarah, Fatemeh Rekabi Bana, Ali Emre Turgut, Ognjen Marjanovic, Farshad Arvin. “Optimization of a Self-organized Collective Motion in a Robotic Swarm.” 2022.
2022Runqi Chai, Hanlin Niu, Joaquin Carrasco, Farshad Arvin, Hujun Yin, Barry Lennox. “Design and experimental validation of deep reinforcement learning-based fast trajectory planning and control for mobile robot in unknown environment.” IEEE Transactions on Neural Networks and Learning Systems. 2022.
2022Yifeng He, Barry Lennox, Farshad Arvin. “Exploration of Underwater Storage Facilities with Swarm of Micro-surface Robots.” 2022.
2022Hande Alemdar, Okan Can Arslan, Farshad Arvin, George Broughton, Dominik Dvoracek, Babür Erdem, OĞUZ GÖDELEK, Bilal Yağız Güderer, Mustafa Yavuz Kara, Erhan Ege Keyvan, Tomas Krajnik, Fatemeh Rekabi, Tomas Roucek, EROL ŞAHİN, Thomas Schmickl, Martin Stefanec, Muhammed Suleman, Ali Emre Turgut, Jiri Ulrich, Kristi Zampachu. “Robotic Replicants for Improving Queen Bee Health and Persistence of the Honey Bee Colony.” 2022.
2022Songtao Xie, Junyan Hu, Parijat Bhowmick, Zhengtao Ding, Farshad Arvin. “Distributed motion planning for safe autonomous vehicle overtaking via artificial potential field.” IEEE Transactions on Intelligent Transportation Systems. 2022.
2022Junyan Hu, Barry Lennox, Farshad Arvin. “Robust formation control for networked robotic systems using Negative Imaginary dynamics.” Automatica. 2022.
2022Jiří Ulrich, Ahmad Alsayed, Farshad Arvin, Tomáš Krajník. “Towards fast fiducial marker with full 6 DOF pose estimation.” 2022.
2022Zalan Kiszli, Seongin Na, Farshad Arvin. “Toward a Myriad Robot Swarm Aggregation.” 2022 7th International Conference on Control and Robotics Engineering (ICCRE). 2022.
2022Junyan Hu, Hanlin Niu, Joaquin Carrasco, Barry Lennox, Farshad Arvin. “Fault-tolerant cooperative navigation of networked UAV swarms for forest fire monitoring.” Aerospace Science and Technology. 2022.
2022Huajin Tang, AMIR ALY, CECILIO ANGULO, ALUIZIO FR ARAUJO, FARSHAD ARVIN, JINDE CAO, FEI CHAO, BADONG CHEN, FEI CHEN, RAN CHENG, YIU-MING CHEUNG, EMILY CROSS, KERSTIN DAUTENHAHN, DENIZ ERDOGMUS, FRANK FOERSTER, FRANK GUERIN, JUNWEI HAN, XIAN-SHENG HUA, DE-SHUANG HUANG, LORENZO JAMONE, MIN JIANG, TIANZI JIANG, ZHAOJIE JU, SUNG-PHIL KIM, ZDZISŁAW KOWALCZUK, JEFFREY KRICHMAR, PABLO LANILLOS, HONGYI LI, XI LI, XUELONG LI, ZHIJUN LI, CHIN-TENG LIN, BAO-LIANG LU, HAIPING LU, CHAOMIN LUO, PINAKI MAZUMDER, HONGYING MENG, SHINGO MURATA, NICOLAS NAVARRO-GUERRERO, CHRYSTOPHER NEHANIV, NGUYEN SAO MAI, GARRICK ORCHARD, VINOD ACHUTAVARRIER PRASAD, DANIL PROKHOROV, HONG QIAO, NING QIAO, LI QING, QINRU QIU, JAVIER RUIZ-DEL-SOLAR, ALESSANDRA SCIUTTI, BERNHARD SENDHOFF, YONGDUAN SONG, FUCHUN SUN, CHESTON TAN, JIM TORRESEN, MARLEY VELLASCO, YIWEN WANG, YUEMING WANG, ZHEN WANG, QINGLAI WEI, HAU SAN WONG, CHENGUANG YANG, HONGXIA YANG, JIE ZHANG, LEI ZHANG, DONGBIN ZHAO. “IEEE transactions on cognitive and developmental systems.” IEEE Trans Cognitive Devel Syst. 2022.
2022Seongin Na, Hanlin Niu, Barry Lennox, Farshad Arvin. “Bio-Inspired Collision Avoidance in Swarm Systems via Deep Reinforcement Learning.” IEEE Transactions on Vehicular Technology. 2022.
2022Ahmad Alsayed, Mostafa R Nabawy, Farshad Arvin. “Autonomous Aerial Mapping Using a Swarm of Unmanned Aerial Vehicles.” 2022.
2022Martin Stefanec, Daniel Nicolas Hofstadler, Tomas Krajnik, Ali Emre Turgut, Hande Alemdar, Barry Lennox, Erol Şahin, Farshad Arvin, Thomas Schmickl. “A Minimally Invasive Approach towards “Ecosystem Hacking” with Honeybees.” Frontiers in Robotics and AI. 2022.
2022Ahmad Alsayed, Mostafa R Nabawy, Akilu Yunusa-Kaltungo, Mark K Quinn, Farshad Arvin. “Real-Time Scan Matching for Indoor Mapping with a Drone.” 2022.
2022Shuang Chen, Amir Atapour-Abarghouei, Jane Kerby, Edmond SL Ho, David CG Sainsbury, Sophie Butterworth, Hubert PH Shum. “A Feasibility Study on Image Inpainting for Non-cleft Lip Generation from Patients with Cleft Lip.” 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI). 2022.
2022Peter J Bevan, Amir Atapour-Abarghouei. “Detecting melanoma fairly: Skin tone detection and debiasing for skin lesion classification.” 2022.
2022David Towers, Matthew Forshaw, A Stephen McGough, Amir Atapour-Abarghouei. “Long-term Reproducibility for Neural Architecture Search.” arXiv preprint arXiv:2207.04821. 2022.
2022Michael L Battle, Amir Atapour-Abarghouei, Andrew S McGough. “Siamese Neural Networks for Skin Cancer Classification and New Class Detection using Clinical and Dermoscopic Image Datasets.” 2022.
2022Songtao Xie, Junyan Hu, Parijat Bhowmick, Zhengtao Ding, Farshad Arvin. “Distributed Motion Planning for Safe Autonomous Vehicle Overtaking via Artificial Potential Field.” IEEE Transactions on Intelligent Transportation Systems. 2022.
2022Kefan Wu, Junyan Hu, Barry Lennox, Farshad Arvin. “Mixed controller design for multi-vehicle formation based on edge and bearing measurements.” 2022 European Control Conference (ECC). 2022.
2022Junyan Hu, Barry Lennox, Farshad Arvin. “Robust formation control for networked robotic systems using negative imaginary dynamics.” Automatica. 2022.
2022Junyan Hu, Hanlin Niu, Joaquin Carrasco, Barry Lennox, Farshad Arvin. “Fault-tolerant cooperative navigation of networked UAV swarms for forest fire monitoring.” Aerospace Science and Technology. 2022.
2022Junyan Hu, Ali Emre Turgut, Tomáš Krajník, Barry Lennox, Farshad Arvin. “Occlusion-based coordination protocol design for autonomous robotic shepherding tasks.” IEEE Transactions on Cognitive and Developmental Systems. 2022.
2022Pedro Cárdenas, Ioannis Ivrissimtzis, Boguslaw Obara, Ibad Kureshi, Georgios Theodoropoulos. “Big data for human security: The case of COVID-19.” Journal of computational science. 2022.
2022Libowen Xu, Qing Wang, Ioannis Ivrissimtzis, Shisong Li. “Early fault diagnostic system for rolling bearing faults in wind turbines.” Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems. 2022.
2022Xin Zhang, Ning Jia, Ioannis Ivrissimtzis. “Synthetic data generation for watermark extraction from 3D printed objects.” 2022.
2022G Theodoropoulos, P Cardenas-Canto, B Obara, I Ivrissimtzis, I Kureshi. “Big data for human security: the case of COVID-19.” Journal of Computational Science. 2022.
2022Paulo Bala, Stuart James, Alessio Del Bue, Valentina Nisi. “Writing with (digital) scissors: designing a text editing tool for assisted storytelling using crowd-generated content.” 2022.
2022Matteo Taiana, Matteo Toso, Stuart James, Alessio Del Bue. “Posernet: Refining relative camera poses exploiting object detections.” 2022.
2022Davide Talon, Alessio Del Bue, Stuart James. “Ganzzle: Reframing jigsaw puzzle solving as a retrieval task using a generative mental image.” 2022 IEEE international conference on image processing (ICIP). 2022.
2022Daniele Giunchi, Stuart James, Riccardo Bovo, Donald Degraen, Anthony Steed. “Explorative Study on Asymmetric Sketch Interactions for Object Retrieval in Virtual Reality.” 2022 International Conference on Interactive Media, Smart Systems and Emerging Technologies (IMET). 2022.
2022Hebatallah A Mohamed, Sebastiano Vascon, Feliks Hibraj, Stuart James, Diego Pilutti, Alessio Del Bue, Marcello Pelillo. “Geolocation of cultural heritage using multi-view knowledge graph embedding.” 2022.
2022Javed Ahmad, Matteo Toso, Matteo Taiana, Stuart James, Alessio Del Bue. “Multi-view 3d objects localization from street-level scenes.” 2022.
2022Raid Alzubi, Hadeel Alzoubi, Stamos Katsigiannis, Daune West, Naeem Ramzan. “Automated detection of substance-use status and related information from clinical text.” Sensors. 2022.
2022Gabriel Iluebe Okolo, Stamos Katsigiannis, Naeem Ramzan. “Multi-modal lung ultrasound image classification by fusing image-based features and probe information.” 2022 IEEE 22nd International Conference on Bioinformatics and Bioengineering (BIBE). 2022.
2022Miguel Arevalillo-Herráez, Jaume Segura-García, Pablo Arnau-González, Stamos Katsigiannis. “Wrap reduction algorithm for fringe projection profilometry.” Optics and Lasers in Engineering. 2022.
2022Ruochen Li, Stamos Katsigiannis, Hubert PH Shum. “Multiclass-SGCN: Sparse graph-based trajectory prediction with agent class embedding.” 2022 IEEE International Conference on Image Processing (ICIP). 2022.
2022James Gascoigne-Burns, Stamos Katsigiannis. “A localisation study of deep learning models for chest x-ray image classification.” 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI). 2022.
2022Gabriel Iluebe Okolo, Stamos Katsigiannis, Naeem Ramzan. “IEViT: An enhanced vision transformer architecture for chest X-ray image classification.” Computer Methods and Programs in Biomedicine. 2022.
2022Fatma Elsafoury, Steven R Wilson, Stamos Katsigiannis, Naeem Ramzan. “SOS: Systematic Offensive Stereotyping Bias in Word Embeddings.” 29th International Conference on Computational Linguistics (COLING 2022). 2022.
2022Lakmini Malasinghe, Stamos Katsigiannis, Keshav Dahal, Naeem Ramzan. “A comparative study of common steps in video-based remote heart rate detection methods.” Expert Systems with Applications. 2022.
2022Yuyuan Wu, Miguel Arevalillo-Herráez, Stamos Katsigiannis, Naeem Ramzan. “On the benefits of using Hidden Markov Models to predict emotions.” 30th ACM Conference on User Modeling, Adaptation and Personalization (UMAP). 2022.
2022Avi M Aizenman, George A Koulieris, Agostino Gibaldi, Vibhor Sehgal, Dennis M Levi, Martin S Banks, Christopher DiMattina, Lauren Anderson, Josiah Burnham, Michelle DeAngelis, Betul Guner, Dongcheng He, Haluk Ogmen, Zheng Huang, Huan Luo, Huihui Zhang, Moyou Jiang, Takeharu Seno, Shinji Nakamura, Elise Savier, Kara McHaney, Hui Chen, Jianhua Cang. “Discomfort associated with the (un)natural statistics of VR gaming headsets.” Journal of Vision. 2022.
2022Ziyi Chang, George Alex Koulieris, Hubert PH Shum. “3d reconstruction of sculptures from single images via unsupervised domain adaptation on implicit models.” 2022.
2022Kevin Roice, George Alex Koulieris. “RHapTor: Rendering Haptic Torques for Virtual Reality.” 2022.
2022Beatriz Redondo, Jesús Vera, George-Alex Koulieris, Rubén Molina-Romero, Raimundo Jiménez. “Short-term effects of caffeine intake on binocular accommodative facility: a quantitative and qualitative analysis.” Clinical and Experimental Optometry. 2022.
2022Jesús Vera, Beatriz Redondo, George-Alex Koulieris, Rubén Molina, Raimundo Jiménez. “Examining the validity of a new method for the objective assessment of binocular accommodative facility (2Q-AF test): a comparison with±2.00 DS lens flippers.” Current Eye Research. 2022.
2022Avi M Aizenman, George A Koulieris, Agostino Gibaldi, Vibhor Sehgal, Dennis M Levi, Martin S Banks. “The Statistics of Eye Movements and Binocular Disparities during VR Gaming: Implications for Headset Design.” ACM Transactions on Graphics (TOG) (to be presented at SIGGRAPH 2023). 2022.
2022Amani Alsaqqaf, Frederick WB Li. “Gamifying Experiential Learning Theory.” International Conference On Web-Based Learning (ICWL 2022). 2022.
2022Tanqiu Qiao, Qianhui Men, Frederick WB Li, Yoshiki Kubotani, Shigeo Morishima, Hubert PH Shum. “Geometric features informed multi-person human-object interaction recognition in videos.” 2022.
2022Muna Almushyti, Frederick W Li. “Distillation of Human-Object Interaction Contexts for Action Recognition.” Computer Animation & Virtual Worlds. 2022.
2022Muna Almushyti, Frederick WB Li. “STIT: Spatio-Temporal Interaction Transformers for Human-Object Interaction Recognition in Videos.” International Conference on Pattern Recognition (ICPR 2022). 2022.
2022Bailin Yang, Qingxu Wang, Frederick WB Li, Xiaohui Liang, Tianxiang Wei, Changrui Zhu. “Aesthetic Enhancement via Color Area and Location Awareness.” Pacific Graphics Short Paper. 2022.
2022Chenghao Xiao, Yang Long, Noura Al Moubayed. “On isotropy, contextualization and learning dynamics of contrastive-based sentence representation learning.” arXiv preprint arXiv:2212.09170. 2022.
2022Chenghao Xiao, Yang Long, Noura Al Moubayed. “On Isotropy and Learning Dynamics of Contrastive-based Sentence Representation Learning.” In Findings of the Association for Computational Linguistics (ACL). 2022.
2022Dubing Chen, Chenyi Jiang, Haofeng Zhang. “Evolutionary generalized zero-shot learning.” arXiv preprint arXiv:2211.13174. 2022.
2022Peng Zhang, Yawen Huang, Bingzhang Hu, Shizheng Wang, Haoran Duan, Noura Al Moubayed, Yefeng Zheng, Yang Long. “Knowing the Past to Predict the Future: Reinforcement Virtual Learning.” arXiv preprint arXiv:2211.01266. 2022.
2022Yang Bai, Desen Zhou, Songyang Zhang, Jian Wang, Errui Ding, Yu Guan, Yang Long, Jingdong Wang. “Action Quality Assessment with Temporal Parsing Transformer.” European Conference on Computer Vision. 2022.
2022Yang Long, Xiaofang Zhai, Qiao Wan, Xiaowei Tan. “Object localization in weakly labeled remote sensing images based on deep convolutional features.” Remote Sensing. 2022.
2022Rui Wang, Zhihua Wei, Haoran Duan, Shouling Ji, Yang Long, Zhen Hong. “EfficientTDNN: Efficient architecture search for speaker recognition.” IEEE/ACM Transactions on Audio, Speech, and Language Processing. 2022.
2022Binghua Shi, Yixin Su, Cheng Lian, Chang Xiong, Yang Long, Chenglong Gong. “Obstacle type recognition in visual images via dilated convolutional neural network for unmanned surface vehicles.” The Journal of Navigation. 2022.
2022Rui Gao, Xingsong Hou, Jie Qin, Yuming Shen, Yang Long, Li Liu, Zhao Zhang, Ling Shao. “Visual-semantic aligned bidirectional network for zero-shot learning.” IEEE Transactions on Multimedia. 2022.
2022Yang Long, Gui-Song Xia, Liangpei Zhang, Gong Cheng, Deren Li. “Aerial scene parsing: From tile-level scene classification to pixel-wise semantic labeling.” arXiv preprint arXiv:2201.01953. 2022.
2022Junyan Wang, Likun Qin23, Peng Zhang, Yang Long, Bingzhang Hu, Maurice Pagnucco, Shizheng Wang, Yang Song. “Towards Unified Multi-Excitation for Unsupervised Video Prediction.” British Machine Vision Conference. 2022.
2022Marie Farrell, Nikos Mavrakis, Angelo Ferrando, Clare Dixon, Yang Gao. “Journal-First: Formal Modelling and Runtime Verification of Autonomous Grasping for Active Debris Removal.” 2022.
2022Marie Farrell, Nikos Mavrakis, Angelo Ferrando, Clare Dixon, Yang Gao. “Formal modelling and runtime verification of autonomous grasping for active debris removal.” Frontiers in Robotics and AI. 2022.
2022Chenghao Xiao, Yang Long, Noura Al Moubayed. “On isotropy, contextualization and learning dynamics of contrastive-based sentence representation learning.” Findings of the Association for Computational Linguistics: ACL 2023. 2022.
2022Zhongtian Sun, Anoushka Harit, Alexandra I Cristea, Jialin Yu, Noura Al Moubayed, Lei Shi. “Is unimodal bias always bad for visual question answering? a medical domain study with dynamic attention.” 2022 IEEE International Conference on Big Data (Big Data). 2022.
2022Anza Shakeel, Richard John Walters, Susanna K Ebmeier, Noura Al Moubayed. “Detection of tectonic and volcanic deformation as anomalies in InSAR: deep-learning tailored to differential data.” Authorea Preprints. 2022.
2022Benedict AH Jones, John LP Chouard, Bianca CC Branco, Eléonore GB Vissol-Gaudin, Christopher Pearson, Michael C Petty, Noura Al Moubayed, Dagou A Zeze, Chris Groves. “Towards intelligently designed evolvable processors.” Evolutionary Computation. 2022.
2022Matthew Watson, Bashar Awwad Shiekh Hasan, Noura Al Moubayed. “Using model explanations to guide deep learning models towards consistent explanations for EHR data.” Scientific Reports. 2022.
2022Peng Zhang, Yawen Huang, Bingzhang Hu, Shizheng Wang, Haoran Duan, Noura Al Moubayed, Yefeng Zheng, Yang Long. “Knowing the Past to Predict the Future: Reinforcement Virtual Learning.” arXiv preprint arXiv:2211.01266. 2022.
2022Seyma Yucer, Matt Poyser, Noura Al Moubayed, Toby P Breckon. “Does lossy image compression affect racial bias within face recognition?.” 2022 IEEE International Joint Conference on Biometrics (IJCB). 2022.
2022Francis Xiatian Zhang, Noura Al Moubayed, Hubert PH Shum. “Towards graph representation learning based surgical workflow anticipation.” 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI). 2022.
2022Daniel Kluvanec, Thomas B Phillips, Kenneth JW McCaffrey, Noura Al Moubayed. “Using orientation to distinguish overlapping chromosomes.” 2022.
2022Benedict AH Jones, Noura Al Moubayed, Dagou A Zeze, Chris Groves. “In-Materio Extreme Learning Machines.” 2022.
2022Thomas Winterbottom, Anna Leone, Noura Al Moubayed. “A deep learning approach to fight illicit trafficking of antiquities using artefact instance classification.” Scientific Reports. 2022.
2022Zhongtian Sun, Anoushka Harit, Alexandra I Cristea, Jialin Yu, Lei Shi, Noura Al Moubayed. “Contrastive learning with heterogeneous graph attention networks on short text classification.” 2022 International Joint Conference on Neural Networks (IJCNN). 2022.
2022Jialin Yu, Alexandra I Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed. “Efficient uncertainty quantification for multilabel text classification.” 2022 International Joint Conference On Neural Networks (IJCNN). 2022.
2022Jialin Yu, Alexandra I Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed. “INTERACTION: A generative XAI framework for natural language inference explanations.” 2022 international joint conference on neural networks (IJCNN). 2022.
2022Isaac Ampomah, James Burton, Amir Enshaei, Noura Al Moubayed. “Generating textual explanations for machine learning models performance: A table-to-text task.” Proceedings of the 13th Language Resources and Evaluation Conference LREC2022. 2022.
2022Thomas Winterbottom, Sarah Xiao, Alistair McLean, Noura Al Moubayed. “Bilinear pooling in video-QA: empirical challenges and motivational drift from neurological parallels.” PeerJ Computer Science. 2022.
2022Thomas Winterbottom, Anna Leone, Noura Al Moubayed. “Artefact Classification: A Deep Learning Approach to Fight Illicit Trafficking of Antiquities.” 2022.
2022Anza Shakeel, Richard J Walters, Susanna K Ebmeier, Noura Al Moubayed. “ALADDIn: Autoencoder-LSTM-based anomaly detector of deformation in InSAR.” IEEE Transactions on Geoscience and Remote Sensing. 2022.
2022G Thomas Hudson, Noura Al Moubayed. “Muld: The multitask long document benchmark.” Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022). 2022.
2022Chenghao Xiao, Yang Long, Noura Al Moubayed. “On isotropy and learning dynamics of contrastive-based sentence representation learning.” CoRR. 2022.
2022Seyma Yucer, Furkan Tektas, Noura Al Moubayed, Toby P Breckon. “Measuring hidden bias within face recognition via racial phenotypes.” Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. 2022.
2022Matthew Watson, Bashar Awwad Shiekh Hasan, Noura Al Moubayed. “Agree to disagree: When deep learning models with identical architectures produce distinct explanations.” Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. 2022.
2022R.A. Saeed, D. Reforgiato Recupero, P. Remagnino. “Modelling group dynamics for crowd simulations.” Personal and Ubiquitous Computing. 2022.
2022Mahdi Maktab Dar Oghaz, Manzoor Razaak, Paolo Remagnino. “Enhanced single shot small object detector for aerial imagery using super-resolution, feature fusion and deconvolution.” Sensors. 2022.
2022X.H. Manh, D. Gigante, C. Angiolini, S. Bagella, M. Caccianiga, F. Angelini, M. Garabini, P. Remagnino. “Towards the computational assessment of the conservation status of a habitat.” ACVR workshop at ECCV. 2022.
2022Raza Saeed, Diego Reforgiato Recupero, Paolo Remagnino. “Simulating Crowd Behaviour Combining Both Microscopic and Macroscopic Rules.” Infirmation Sciences. 2022.
2022Haozheng Zhang, Edmond SL Ho, Hubert PH Shum. “CP-AGCN: Pytorch-Based Attention Informed Graph Convolutional Network for Identifying Infants at Risk of Cerebral Palsy.” Software Impacts. 2022.
2022Manli Zhu, Qianhui Men, Edmond SL Ho, Howard Leung, Hubert P. H. Shum. “A Two-Stream Convolutional Network for Musculoskeletal and Neurological Disorders Prediction.” Journal of Medical Systems. 2022.
2022Shuang Chen, Amir Atapour-Abarghouei, Jane Kerby, Edmond SL Ho, David CG Sainsbury, Sophie Butterworth, Hubert P. H. Shum. “A Feasibility Study on Image Inpainting for Non-Cleft Lip Generation from Patients with Cleft Lip.” Proceedings of the 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics. 2022.
2022John Hartley, Hubert P. H. Shum, Edmond S. L Ho, He Wang, S Ramamoorthy. “Formation Control for UAVs Using a Flux Guided Approach.” Expert Systems with Applications. 2022.
2022Hubert P. H. Shum, Julien Pettré, Dominik L Michels, Sören Pirk. “ACM SIGGRAPH / Eurographics Symposium of Computer Animation 2022.” Computer Graphics Forum. 2022.
2022Ziyi Chang, George A Koulieris, Hubert P. H. Shum. “3D Reconstruction of Sculptures from Single Images via Unsupervised Domain Adaptation on Implicit Models.” Proceedings of the 2022 ACM Symposium on Virtual Reality Software and Technology (VRST). 2022.
2022Edmund JC Findlay, Haozheng Zhang, Ziyi Chang, Hubert P. H. Shum. “Denoising Diffusion Probabilistic Models for Styled Walking Synthesis.” Proceedings of the 2022 International Conference on Motion, Interaction and Games (MIG) Posters. 2022.
2022Xiatian Zhang, Noura Al Moubayed, Hubert P. H. Shum. “Towards Graph Representation Learning Based Surgical Workflow Anticipation.” Proceedings of the 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics. 2022.
2022Tanqiu Qiao, Qianhui Men, Frederick WB Li, Yoshiki Kubotani, Shigeo Morishima, Hubert P. H. Shum. “Geometric Features Informed Multi-person Human-object Interaction Recognition in Videos.” Proceedings of the 2022 European Conference on Computer Vision. 2022.
2022Manli Zhu, Edmond S. L. Ho, Hubert P. H. Shum. “A Skeleton-Aware Graph Convolutional Network for Human-Object Interaction Detection.” Proceedings of the 2022 IEEE International Conference on Systems, Man, and Cybernetics. 2022.
2022Ruochen Li, Stamos Katsigiannis, Hubert P. H. Shum. “Multiclass-SGCN: Sparse Graph-based Trajectory Prediction with Agent Class Embedding.” Proceedings of the 2022 IEEE International Conference on Image Processing. 2022.
2022Haozheng Zhang, Edmund S. L. Ho, Xiatian Zhang, Hubert P. H. Shum. “Pose-Based Tremor Classification for Parkinson’s Disease Diagnosis from Video.” Proceedings of the 2022 International Conference on Medical Image Computing and Computer Assisted Intervention. 2022.
2022Haozheng Zhang, Hubert P. H. Shum, Edmund SL Ho. “Cerebral Palsy Prediction with Frequency Attention Informed Graph Convolutional Networks.” Proceedings of the 2022 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2022.
2022Daniel Organisciak, Hubert P. H. Shum, Ephraim Nwoye, Wai Lok Woo. “RobIn: A Robust Interpretable Deep Network for Schizophrenia Diagnosis.” Expert Systems with Applications. 2022.
2022Abril Corona-Figueroa, Jonathan Frawley, Sam Bond-Taylor, Sarath Bethapudi, Hubert P. H. Shum, Chris G Willcocks. “MedNeRF: Medical Neural Radiance Fields for Reconstructing 3D-Aware CT-Projections from a Single X-Ray.” Proceedings of the 2022 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2022.
2022Qi Feng, Hubert P. H. Shum, Shigeo Morishima. “360 Depth Estimation in the Wild – The Depth360 Dataset and the SegFuse Network.” Proceedings of the 2022 IEEE Conference on Virtual Reality and 3D User Interfaces. 2022.
2022Kevin D McCay, Pengpeng Hu, Hubert P. H. Shum, Wai Lok Woo, Claire Marcroft, Nicholas D Embleton, Adrian Munteanu, Edmond S. L. Ho. “A Pose-Based Feature Fusion and Classification Framework for the Early Prediction of Cerebral Palsy in Infants.” IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2022.
2022Daniel Organisciak, Matthew Poyser, Aishah Alsehaim, Shanfeng Hu, Brian KS Isaac-Medina, Toby P Breckon, Hubert P. H. Shum. “UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-Identification in Video Imagery.” Proceedings of the 2022 International Conference on Computer Vision Theory and Applications (VISAPP). 2022.
2022Qianhui Men, Hubert P. H. Shum, Edmond S. L. Ho, Howard Leung. “GAN-Based Reactive Motion Synthesis with Class-Aware Discriminators for Human-Human Interaction.” Computers and Graphics. 2022.
2022Naoiki Nozawa, Hubert P. H. Shum, Qi Feng, Edmond S. L. Ho, Shigeo Morishima. “3D Car Shape Reconstruction from a Contour Sketch using GAN and Lazy Learning.” The Visual Computer. 2022.
2021Joyal Raju, Yona Falinie A Gaus, Toby P Breckon. “Continuous multi-modal emotion prediction in video based on recurrent neural network variants with attention.” 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA). 2021.
2021Thomas W Webb, Neelanjan Bhowmik, Yona Falinie A Gaus, Toby P Breckon. “Operationalizing convolutional neural network architectures for prohibited object detection in x-ray imagery.” 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA). 2021.
2021Qian Wang, Toby P Breckon. “Contraband materials detection within volumetric 3D computed tomography baggage security screening imagery.” 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA). 2021.
2021Jack Barker, Neelanjan Bhowmik, Toby Breckon. “Semi-supervised surface anomaly detection of composite wind turbine blades from drone imagery.” arXiv preprint arXiv:2112.00556. 2021.
2021Li Li, Khalid N Ismail, Hubert PH Shum, Toby P Breckon. “Durlar: A high-fidelity 128-channel lidar dataset with panoramic ambient and reflectivity imagery for multi-modal autonomous driving applications.” 2021 International Conference on 3D Vision (3DV). 2021.
2021Aishah Alsehaim, Toby P Breckon, Princess Nourah Bint Abdulrahman. “Re-ID-AR: Improved Person Re-identification in Videovia Joint Weakly Supervised Action Recognition..” BMVC. 2021.
2021Qian Wang, Toby P Breckon. “Source class selection with label propagation for partial domain adaptation.” 2021 IEEE International Conference on Image Processing (ICIP). 2021.
2021Neelanjan Bhowmik, Yona Falinie A Gaus, Toby P Breckon. “On the impact of using x-ray energy response imagery for object detection via convolutional neural networks.” 2021 IEEE International Conference on Image Processing (ICIP). 2021.
2021Jack W Barker, Toby P Breckon. “Panda: Perceptually aware neural detection of anomalies.” 2021 International Joint Conference on Neural Networks (IJCNN). 2021.
2021Philip A Adey, Samet Akçay, Magnus JR Bordewich, Toby P Breckon. “Autoencoders without reconstruction for textural anomaly detection.” 2021 International Joint Conference on Neural Networks (IJCNN). 2021.
2021Qian Wang, Toby P Breckon. “On the evaluation of semi-supervised 2D segmentation for volumetric 3D computed tomography baggage security screening.” 2021 International Joint Conference on Neural Networks (IJCNN). 2021.
2021Naif Alshammari, Samet Akcay, Toby P Breckon. “Competitive simplicity for multi-task learning for real-time foggy scene understanding via domain adaptation.” 2021 IEEE Intelligent Vehicles Symposium (IV). 2021.
2021Naif Alshammari, Samet Akcay, Toby P Breckon. “Multi-modal learning for real-time automotive semantic foggy scene understanding via domain adaptation.” 2021 IEEE Intelligent Vehicles Symposium (IV). 2021.
2021Daniel Organisciak, Matthew Poyser, Aishah Alsehaim, Shanfeng Hu, Brian KS Isaac-Medina, Toby P Breckon, Hubert PH Shum. “Uav-reid: A benchmark on unmanned aerial vehicle re-identification in video imagery.” arXiv preprint arXiv:2104.06219. 2021.
2021Hiroshi Sasaki, Chris G Willcocks, Toby P Breckon. “Unit-ddpm: Unpaired image translation with denoising diffusion probabilistic models.” arXiv preprint arXiv:2104.05358. 2021.
2021William Prew, Toby Breckon, Magnus Bordewich, Ulrik Beierholm. “Improving robotic grasping on monocular images via multi-task learning and positional loss.” 2020 25th International Conference on Pattern Recognition (ICPR). 2021.
2021Brian KS Isaac-Medina, Chris G Willcocks, Toby P Breckon. “Multi-view object detection using epipolar constraints within cluttered x-ray security imagery.” 2020 25th International conference on pattern recognition (ICPR). 2021.
2021Toby P Breckon, Aishah Alsehaim. “Not 3d re-id: Simple single stream 2d convolution for robust video re-identification.” 2020 25th International conference on pattern recognition (ICPR). 2021.
2021Matt Poyser, Amir Atapour-Abarghouei, Toby P Breckon. “On the impact of lossy image and video compression on the performance of deep convolutional neural network architectures.” 2020 25th international conference on pattern recognition (ICPR). 2021.
2021Hiroshi Sasaki, Chris G Willcocks, Toby P Breckon. “Data Augmentation via Mixed Class Interpolation using Cycle-Consistent Generative Adversarial Networks Applied to Cross-Domain Imagery.” 2020 25th International Conference on Pattern Recognition (ICPR). 2021.
2021Daniel Organisciak, Brian KS Isaac-Medina, Matthew Poyser, Shanfeng Hu, Toby P Breckon, Hubert PH Shum. “Uav-reid: A benchmark on unmanned aerial vehicle re-identification.” CoRR. 2021.
2021Brian KS Isaac-Medina, Matt Poyser, Daniel Organisciak, Chris G Willcocks, Toby P Breckon, Hubert PH Shum. “Unmanned aerial vehicle visual detection and tracking using deep neural networks: A performance benchmark.” Proceedings of the IEEE/CVF International Conference on Computer Vision. 2021.
2021Songtao Xie, Junyan Hu, Zhengtao Ding, Farshad Arvin. “Collaborative Overtaking of Multi-Vehicle Systems in Dynamic Environments: A Distributed Artificial Potential Field Approach.” 2021 20th International Conference on Advanced Robotics (ICAR). 2021.
2021Zhe Ban, Junyan Hu, Barry Lennox, Farshad Arvin. “Self-organised collision-free flocking mechanism in heterogeneous robot swarms.” Mobile Networks and Applications. 2021.
2021Ahmad Alsayed, Mostafa RA Nabawy, Akilu Yunusa-Kaltungo, Mark K Quinn, Farshad Arvin. “An autonomous mapping approach for confined spaces using flying robots.” 2021.
2021Inmo Jang, Junyan Hu, Farshad Arvin, Joaquin Carrasco, Barry Lennox. “Omnipotent Virtual Giant for Remote Human–Swarm Interaction.” 2021 30th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN). 2021.
2021Seongin Na, Yiping Qiu, Ali E Turgut, Jiří Ulrich, Tomáš Krajník, Shigang Yue, Barry Lennox, Farshad Arvin. “Bio-inspired artificial pheromone system for swarm robotics applications.” Adaptive Behavior. 2021.
2021Ronald Thenius, Wiktoria Rajewicz, Joshua Cherian Varughese, Sarah Schoenwetter-Fuchs, Farshad Arvin, Alexander J Casson, Chao Wu, Barry Lennox, Alexandre Campo, Godfried Jansen Van Vuuren, Cesare Stefanini, Donato Romano, Thomas Schmickl. “Biohybrid entities for environmental monitoring.” Artificial Life Conference Proceedings 33. 2021.
2021Junyan Hu, Barry Lennox, Farshad Arvin. “Collaborative Coverage for a Network of Vacuum Cleaner Robots.” 2021.
2021Peng-Zhi Li, De-Fu Zhang, Barry Lennox, Farshad Arvin. “A 3-DOF piezoelectric driven nanopositioner: Design, control and experiment.” Mechanical Systems and Signal Processing. 2021.
2021Devesh Jha, Ferat Sahin, Anak Agung Julius, Yi Chen Mazumdar, Ron Alterovitz, Sean Denny, Benjamin McPheron, Steven Gigl, Vijay Subramanian, Andrew Petruska, Ellery Blood, Taehee Cho, Pongstorn Maidee, Joanna Olszewska, Zhenyu Yang, Tomi Westerlund, Philipp Heidenreich, V Ramesh, Hadj Hamma Tadjine, Silvia Rossi, Hossam Ahmed, Raymond Ghandour, Elie Shammas, Dainius Udris, Walter Caharija, Gil Manuel Goncalves, Daniel Condurache, Jose Garcia-Rodriguez, Miguel Romero, Antidio Viguria Jimenez, Moez Soltani, Achraf Jabeur Telmoudi, Farshad Arvin, Francesco Fusco, Thulasi Mylvaganam, Ejay Nsugbe, Camilo Pardo, Hector Becerra, Alejandro Dzul, Abraham Rodriguez-Mota, Martha Aguilera, Juan Aguilar, Erasmo Sulla Espinoza. “IEEE Robotics and Automation Society Congratulates Recently Elevated Senior Members.” IEEE Robotics & Automation Magazine. 2021.
2021Junyan Hu, Parijat Bhowmick, Inmo Jang, Farshad Arvin, Alexander Lanzon. “A decentralized cluster formation containment framework for multirobot systems.” IEEE Transactions on Robotics. 2021.
2021Kefan Wu, Junyan Hu, Barry Lennox, Farshad Arvin. “SDP-Based Robust Formation-Containment Coordination of Swarm Robotic Systems with Input Saturation.” Journal of Intelligent & Robotic Systems. 2021.
2021Junyan Hu, Ali Emre Turgut, Barry Lennox, Farshad Arvin. “Robust Formation Coordination of Robot Swarms with Nonlinear Dynamics and Unknown Disturbances: Design and Experiments.” IEEE Transactions on Circuits and Systems II: Express Briefs. 2021.
2021Seongin Na, Hanlin Niu, Barry Lennox, Farshad Arvin. “Universal Artificial Pheromone Framework with Deep Reinforcement Learning for Robotic Systems.” 2021 6th International Conference on Control and Robotics Engineering (ICCRE). 2021.
2021Kefan Wu, Junyan Hu, Barry Lennox, Farshad Arvin. “Finite-time bearing-only formation tracking of heterogeneous mobile robots with collision avoidance.” IEEE Transactions on Circuits and Systems II: Express Briefs. 2021.
2021Sean Lim, Shiyi Wang, Barry Lennox, Farshad Arvin. “BeeGround-An Open-Source Simulation Platform for Large-Scale Swarm Robotics Applications.” 2021 7th International Conference on Automation, Robotics and Applications (ICARA). 2021.
2021Mehmet B Bezcioglu, Barry Lennox, Farshad Arvin. “Self-Organised Swarm Flocking with Deep Reinforcement Learning.” 2021 7th International Conference on Automation, Robotics and Applications (ICARA). 2021.
2021Melanie Schranz, Gianni A Di Caro, Thomas Schmickl, Wilfried Elmenreich, Farshad Arvin, Ahmet Şekercioğlu, Micha Sende. “Swarm intelligence and cyber-physical systems: concepts, challenges and future trends.” Swarm and Evolutionary Computation. 2021.
2021Hanlin Niu, Ze Ji, Farshad Arvin, Barry Lennox, Hujun Yin, Joaquin Carrasco. “Accelerated Sim-to-Real Deep Reinforcement Learning: Learning Collision Avoidance from Human Player.” 2021 IEEE/SICE International Symposium on System Integration (SII). 2021.
2021Zheyu Liu, Ali Emre Turgut, Barry Lennox, Farshad Arvin. “Self-organised Flocking of Robotic Swarm in Cluttered Environments.” TAROS. 2021.
2021Ahmad Alsayed, Akilu Yunusa-Kaltungo, Mark K Quinn, Farshad Arvin, Mostafa RA Nabawy. “Drone-Assisted Confined Space Inspection and Stockpile Volume Estimation.” Remote Sensing. 2021.
2021Ahmad Alsayed, Mostafa R Nabawy, Akilu Yunusa-Kaltungo, Farshad Arvin, Mark K Quinn. “Enhancing 1D LiDAR Scanning for Accurate Stockpile Volume Estimation Within Drone-Based Mapping Systems.” 2021.
2021Ahmad Alsayed, Mostafa R Nabawy, Akilu Yunusa-Kaltungo, Farshad Arvin, Mark K Quinn. “Towards Developing an Aerial Mapping System for Stockpile Volume Estimation in Cement Plants.” 2021.
2021Ciara Blackledge, Amir Atapour-Abarghouei. “Transforming Fake News: Robust Generalisable News Classification Using Transformers.” 2021 IEEE International Conference on Big Data (Big Data). 2021.
2021Steven Carrell, Amir Atapour-Abarghouei. “Identification of Driver Phone Usage Violations via State-of-the-Art Object Detection with Tracking.” 2021 IEEE International Conference on Big Data (Big Data). 2021.
2021Amir Atapour-Abarghouei, Stephen Bonner, Andrew Stephen McGough. “Rank over class: The untapped potential of ranking in natural language processing.” 2021 IEEE International Conference on Big Data (Big Data). 2021.
2021Jack Stelling, Amir Atapour-Abarghouei. ““Just Drive”: Colour Bias Mitigation for Semantic Segmentation in the Context of Urban Driving.” arXiv preprint arXiv:2112.01121. 2021.
2021Peter Bevan, Amir Atapour-Abarghouei. “Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification.” arXiv preprint arXiv:2109.09818. 2021.
2021Matt Poyser, Amir Atapour-Abarghouei, Toby P Breckon. “On the Impact of Lossy Image and Video Compression on the Performance of Deep Convolutional Neural Network Architectures.” 2020 25th International Conference on Pattern Recognition (ICPR). 2021.
2021Songtao Xie, Junyan Hu, Zhengtao Ding, Farshad Arvin. “Collaborative overtaking of multi-vehicle systems in dynamic environments: A distributed artificial potential field approach.” 2021 International Conference on Advanced Robotics (ICAR). 2021.
2021Junyan Hu, Parijat Bhowmick, Inmo Jang, Farshad Arvin, Alexander Lanzon. “A Decentralized Cluster Formation Containment Framework for Multirobot Systems.” IEEE Transactions on Robotics. 2021.
2021Junyan Hu, Barry Lennox, Farshad Arvin. “Collaborative coverage for a network of vacuum cleaner robots.” 2021 Annual Conference Towards Autonomous Robotic Systems (TAROS). 2021.
2021Inmo Jang, Junyan Hu, Farshad Arvin, Joaquin Carrasco, Barry Lennox. “Omnipotent virtual giant for remote human–swarm interaction.” 2021 IEEE International Conference on Robot & Human Interactive Communication (RO-MAN). 2021.
2021Junyan Hu, Parijat Bhowmick, Alexander Lanzon. “Group Coordinated Control of Networked Mobile Robots with Applications to Object Transportation.” IEEE Transactions on Vehicular Technology. 2021.
2021Zhe Ban, Junyan Hu, Barry Lennox, Farshad Arvin. “Self-organised collision-free flocking mechanism in heterogeneous robot swarms.” Mobile Networks and Applications. 2021.
2021Kefan Wu, Junyan Hu, Barry Lennox, Farshad Arvin. “SDP-Based Robust Formation-Containment Coordination of Swarm Robotic Systems with Input Saturation.” Journal of Intelligent & Robotic Systems. 2021.
2021Junyan Hu, Ali Emre Turgut, Barry Lennox, Farshad Arvin. “Robust formation coordination of robot swarms with nonlinear dynamics and unknown disturbances: Design and experiments.” IEEE Transactions on Circuits and Systems II: Express Briefs. 2021.
2021Kefan Wu, Junyan Hu, Barry Lennox, Farshad Arvin. “Finite-time bearing-only formation tracking of heterogeneous mobile robots with collision avoidance.” IEEE Transactions on Circuits and Systems II: Express Briefs. 2021.
2021Latifah Abduh, Ioannis Ivrissimtzis. “Training dataset construction for anomaly detection in face anti-spoofing.” Proceedings of the computer graphics & visual computing, Lincoln. 2021.
2021Aeshah Almutairi, Toni Saarela, Ioannis Ivrissimtzis. “Quality perception and discrimination thresholds in quantised triangle meshes.” Sixth International Workshop on Pattern Recognition. 2021.
2021Pedro Cárdenas, Boguslaw Obara, Ioannis Ivrissimtzis, Ibad Kureshi, Georgios Theodoropoulos. “Big Data for National Security in the Era of COVID-19.” 2021.
2021Aeshah Almutairi, Ioannis Ivrissimtzis, Toni Saarela. “Imperceptibility thresholds in quantised 3D triangle meshes.” 2021.
2021Daniele Giunchi, Riccardo Bovo, Panayiotis Charalambous, Fotis Liarokapis, Alastair Shipman, Stuart James, Anthony Steed, Thomas Heinis. “Perceived realism of pedestrian crowds trajectories in VR.” 2021.
2021Mara Dionísio, Valentina Nisi, Jin Xin, Paulo Bala, Stuart James, Nuno Jardim Nunes. “Amnesia in the Atlantic: An AI Driven Serious Game on Marine Biodiversity.” 2021.
2021Paulo Bala, Valentina Nisi, Mara Dionisio, Nuno Jardim Nunes, Stuart James. “Square peg, round hole: A case study on using Visual Question & Answering in Games.” 2021.
2021Mohamed Dahy Elkhouly, Theodore Tsesmelis, Alessio Del Bue, Stuart James. “LIGHTS: LIGHT Specularity Dataset for specular detection in Multi-view.” 2021 IEEE International Conference on Image Processing (ICIP). 2021.
2021Daniele Giunchi, Alejandro Sztrajman, Stuart James, Anthony Steed. “Mixing modalities of 3d sketching and speech for interactive model retrieval in virtual reality.” 2021.
2021Mohamed Dahy Elkhouly, Alessio Del Bue, Stuart James. “Consistent Mesh Colors for Multi-View Reconstructed 3D Scenes.” arXiv preprint arXiv:2101.10734. 2021.
2021Gabriel Iluebe Okolo, Stamos Katsigiannis, Turke Althobaiti, Naeem Ramzan. “On the use of deep learning for imaging-based COVID-19 detection using chest X-rays.” Sensors. 2021.
2021Stamos Katsigiannis, Pablo Arnau-González, Miguel Arevalillo-Herráez, Naeem Ramzan. “Single-channel EEG-based subject identification using visual stimuli.” 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI). 2021.
2021Fatma Elsafoury, Stamos Katsigiannis, Zeeshan Pervez, Naeem Ramzan. “When the timeline meets the pipeline: A survey on automated cyberbullying detection.” IEEE Access. 2021.
2021Pablo Arnau-González, Stamos Katsigiannis, Miguel Arevalillo-Herráez, Naeem Ramzan. “BED: A new data set for EEG-based biometrics.” IEEE Internet of Things Journal. 2021.
2021Fatma Elsafoury, Stamos Katsigiannis, Steve Wilson, Naeem Ramzan. “Does BERT pay attention to cyberbullying?.” 44th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2021.
2021Fehaid Alqahtani, Stamos Katsigiannis, Naeem Ramzan. “Using wearable physiological sensors for affect-aware Intelligent Tutoring Systems.” IEEE Sensors Journal. 2021.
2021Andreas Polychronakis, George Alex Koulieris, Katerina Mania. “Emulating Foveated Path Tracing.” 14th annual ACM/SIGGRAPH conference on Motion, Interaction and Games. 2021.
2021Lap-Fai Yu, Christos Mousas, David Lindlbauer, George Alex Koulieris, Liwei Chan, Ryan P McMahan, Tomohiro Amemiya. “Professional Training in Extended Reality: Challenges and Solutions.” 2021.
2021Jesús Vera, Beatriz Redondo, Alejandro Perez-Castilla, George-Alex Koulieris, Raimundo Jiménez, Amador Garcia-Ramos. “The intraocular pressure response to lower-body and upper-body isometric exercises is affected by the breathing pattern.” European Journal of Sport Science. 2021.
2021Panagiotis Drakopoulos, George-alex Koulieris, Katerina Mania. “Eye tracking interaction on unmodified mobile VR headsets using the selfie camera.” ACM Transactions on Applied Perception (TAP). 2021.
2021George Bebis, Vassilis Athitsos, Tong Yan, Manfred Lau, Frederick Li, Conglei Shi, Xiaoru Yuan, Christos Mousas, Gerd Bruder. “Advances in Visual Computing: 16th International Symposium, ISVC 2021, Virtual Event, October 4-6, 2021, Proceedings, Part II.” 2021.
2021Kanglei Zhou, Zhiyuan Cheng, Hubert PH Shum, Frederick WB Li, Xiaohui Liang. “Stgae: Spatial-temporal graph auto-encoder for hand motion denoising.” 2021 IEEE International Symposium on Mixed and Augmented Reality (ISMAR). 2021.
2021Shanfeng Hu, Hubert PH Shum, Xiaohui Liang, Frederick WB Li, Nauman Aslam. “Facial reshaping operator for controllable face beautification.” Expert Systems with Applications. 2021.
2021Zhiying Leng, Jiaying Chen, Hubert PH Shum, Frederick WB Li, Xiaohui Liang. “Stable hand pose estimation under tremor via graph neural network.” 2021 IEEE Virtual Reality and 3D User Interfaces (VR). 2021.
2021Mohammad Reza Zarei, Mohammad Taheri, Yang Long. “Kernelized distance learning for zero-shot recognition.” Information Sciences. 2021.
2021Yang Bai, Junyan Wang, Yang Long, Bingzhang Hu, Yang Song, Maurice Pagnucco, Yu Guan. “Discriminative latent semantic graph for video captioning.” 2021.
2021Haoran Duan, Fan Wan, Rui Sun, Zeyu Wang, Varun Ojha, Yu Guan, Hubert PH Shum, Bingzhang Hu, Yang Long. “Semi-Supervised Crowd Counting from Unlabeled Data.” arXiv preprint arXiv:2108.13969. 2021.
2021Yang Long, Gui-Song Xia, Wen Yang, Liangpei Zhang, Deren Li. “Toward dataset construction for remote sensing image interpretation.” 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS. 2021.
2021Yang Long, Yixin Su, Binghua Shi, Zheming Zuo, Jie Li. “A multi-subpopulation bacterial foraging optimisation algorithm with deletion and immigration strategies for unmanned surface vehicle path planning.” Intelligent Service Robotics. 2021.
2021Haofeng Zhang, Haoyue Bai, Yang Long, Li Liu, Ling Shao. “A plug-in attribute correction module for generalized zero-shot learning.” Pattern Recognition. 2021.
2021Haofeng Zhang, Yinduo Wang, Yang Long, Longzhi Yang, Ling Shao. “Modality independent adversarial network for generalized zero shot image classification.” Neural Networks. 2021.
2021Chunxia Jiang, Yuping Wang, Man Guo, Yang Long, Jiao Chen, Fang Fan, Shi Tang, Yong Xu. “PCB118 Induces Inflammation of Islet Beta Cells via Activating ROS‐NLRP3 Inflammasome Signaling.” BioMed Research International. 2021.
2021Junyan Wang, Yang Long, Maurice Pagnucco, Yang Song. “Dynamic Graph Warping Transformer for Video Alignment.” British Machine Vision Conference (BMVC). 2021.
2021Sam Bond-Taylor, Adam Leach, Yang Long, Chris G Willcocks. “Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models.” IEEE Transactions on Pattern Analysis and Machine Intelligence. 2021.
2021Nikos Mavrakis, Yang Gao. “Autonomous Robotic Grasping in Orbital Environment.” 2021.
2021Nikos Mavrakis, Zhou Hao, Yang Gao. “On-Orbit Robotic Grasping of a Spent Rocket Stage: Grasp Stability Analysis and Experimental Results.” Frontiers in Robotics and AI. 2021.
2021Zheming Zuo, Jie Li, Han Xu, Noura Al Moubayed. “Curvature-based feature selection with application in classifying electronic health records.” Technological Forecasting and Social Change. 2021.
2021Anza Shakeel, Richard Walters, Noura Moubayed, Mark Allen. “An Unsupervised Anomaly Detector of Deformation in InSAR Time-Series.” AGU Fall Meeting Abstracts. 2021.
2021Benedict AH Jones, Noura Al Moubayed, Dagou A Zeze, Chris Groves. “Enhanced methods for evolution in-materio processors.” 2021 International Conference on Rebooting Computing (ICRC). 2021.
2021G Thomas Hudson, Noura Al Moubayed. “Ask me in your own words: paraphrasing for multitask question answering.” PeerJ Computer Science. 2021.
2021Zheming Zuo, Matthew Watson, David Budgen, Robert Hall, Chris Kennelly, Noura Al Moubayed. “Data anonymization for pervasive health care: systematic literature mapping study.” 2021.
2021Amit Gajbhiye, Noura Al Moubayed, Steven Bradley. “ExBERT: An external knowledge enhanced BERT for natural language inference.” 2021.
2021MS Watson, P Chambers, KK Shiu, JA Bridgewater, M Desai, R Roylance, A Tailor, S Masento, M Forster, N Al Moubayed. “1859P Using deep learning with demographic and laboratory values from baseline to cycle 2 to predict subsequent renal and hepatic function.” Annals of Oncology. 2021.
2021Zhongtian Sun, Anoushka Harit, Jialin Yu, Alexandra I Cristea, Noura Al Moubayed. “A generative bayesian graph attention network for semi-supervised classification on scarce data.” 2021 International Joint Conference on Neural Networks (IJCNN). 2021.
2021Elizabeth Excell, Noura Al Moubayed. “Towards equal gender representation in the annotations of toxic language detection.” Proceedings of the 3rd Workshop on Gender Bias in Natural Language Processing. 2021.
2021Zakhriya Alhassan, Matthew Watson, David Budgen, Riyad Alshammari, Ali Alessa, Noura Al Moubayed. “Improving current glycated hemoglobin prediction in adults: Use of machine learning algorithms with electronic health records.” JMIR Medical Informatics. 2021.
2021Anza Shakeel, Richard Walters, Noura Al Moubayed, Mark Allen. “Unsupervised feature learning and automatic detection of transient phenomena in InSAR time-series.” EGU General Assembly Conference Abstracts. 2021.
2021Matthew Watson, Noura Al Moubayed. “Attack-agnostic adversarial detection on medical data using explainable machine learning.” 2020 25th International Conference on Pattern Recognition (ICPR). 2021.
2021Paolo Remagnino, Senthilmani Rajendran, Thomas George Kallarakkal, Rosnah Binti Zain, Ruwan Duminda Jayasinghe, Jyotsna Rimal, Alexander Ross Kerr, Rahmi Amtha, Karthikeya Patil10, Wanninayake Mudiyanselage Tilakaratne, John Gibson11, Sok Ching Cheong, Sarah Ann Barman. “D’OraCa: Deep Learning-Based Classification of Oral Lesions with Mouth Landmark Guidance for Early Detection of Oral Cancer.” Medical Image Understanding and Analysis: 25th Annual Conference, MIUA 2021, Oxford, United Kingdom, July 12–14, 2021, Proceedings. 2021.
2021Jian Han Lim, Chun Shui Tan, Chee Seng Chan, Roshan Alex Welikala, Paolo Remagnino, Senthilmani Rajendran, Thomas George Kallarakkal, Rosnah Binti Zain, Ruwan Duminda Jayasinghe, Jyotsna Rimal, Alexander Ross Kerr, Rahmi Amtha, Karthikeya Patil, Wanninayake Mudiyanselage Tilakaratne, John Gibson, Sok Ching Cheong, Sarah Ann Barman. “D’OraCa: deep learning-based classification of oral lesions with mouth landmark guidance for early detection of oral cancer.” 2021.
2021Senthilmani Rajendran, Jian Han Lim, Kohgulakuhan Yogalingam, Thomas George Kallarakkal, Rosnah Binti Zain, Ruwan Duminda Jayasinghe, Jyotsna Rimal, Alexander Ross Kerr, Rahmi Amtha, Karthikeya Patil, Roshan Alex Welikala, Ying Zhi Lim, Paolo Remagnino, John Gibson, Wanninayake Mudiyanselage Tilakaratne, Chee Sun Liew, Yi-Hsin Yang, Sarah Ann Barman, Chee Seng Chan, Sok Ching Cheong. “The establishment of a multi-source dataset of images on common oral lesions.” 2021.
2021R.A. Welikala, P. Remagnino, et al. “Clinically Guided Trainable Soft Attention for Early Detection of Oral Cancer.” International Conference on Computer Analysis of Images and Patterns. 2021.
2021R. Saeed, D. Reforgiato, P. Remagnino. “Simulating People Dynamics.” Intelligent Environments. 2021.
2021R.A. Saeed, D. Reforgiato Recupero, P Remagnino. “The Boundary Node Method for Multi-Robot Multi-Goal Path Planning Problems.” Expert Systems. 2021.
2021Y.L. Chang, C.S. Chan, P. Remagnino. “Action recognition on continuous video.” Neural Computing and Applications. 2021.
2021Haoran Duan, Fan Wan, Rui Sun, Zeyu Wang, Varun Ojha, Yu Guan, Hubert P. H. Shum, Bingzhang Hu, Yang Long. “Semi-Supervised Crowd Counting from Unlabeled Data.” arXiv preprint arXiv:2108.13969. 2021.
2021Luca Crosato, Chongfeng Wei, Edmond S. L. Ho, Hubert P. H. Shum. “Human-Centric Autonomous Driving in an AV-Pedestrian Interactive Environment Using SVO.” Proceedings of the IEEE International Conference on Human-Machine Systems (ICHMS). 2021.
2021Qianhui Men, Hubert PH Shum. “PyTorch-Based Implementation of Label-Aware Graph Representation for Multi-Class Trajectory Prediction.” Software Impacts. 2021.
2021Li Li, Khalid N Ismail, Hubert P. H. Shum, Toby P Breckon. “DurLAR: A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications.” Proceedings of the 2021 International Conference on 3D Vision (3DV). 2021.
2021Kanglei Zhou, Zhiyuan Cheng, Hubert P. H. Shum, Frederick W. B. Li, Xiaohui Liang. “STGAE: Spatial-Temporal Graph Auto-Encoder for Hand Motion Denoising.” Proceedings of the 2021 IEEE International Symposium on Mixed and Augmented Reality (ISMAR). 2021.
2021Qi Feng, Hubert P. H. Shum, Shigeo Morishima. “Bi-Projection-Based Foreground-Aware Omnidirectional Depth Prediction.” Proceedings of the 2021 Visual Computing (VC). 2021.
2021Ben A Rainbow, Qianhui Men, Hubert P. H. Shum. “Semantics-STGCNN: A Semantics-Guided Spatial-Temporal Graph Convolutional Network for Multi-Class Trajectory Prediction.” Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC). 2021.
2021Manli Zhu, Qianhui Men, Edmond SL Ho, Howard Leung, Hubert PH Shum. “Interpreting Deep Learning based Cerebral Palsy Prediction with Channel Attention.” Proceedings of the 2021 IEEE-EMBS International Conference on Biomedical and Health Informatics. 2021.
2021Brian KS Isaac-Medina, Matt Poyser, Daniel Organisciak, Chris G Willcocks, Toby P Breckon, Hubert P. H. Shum. “Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark.” Proceedings of the 2021 International Conference on Computer Vision Workshop on Anti-UAV. 2021.
2021Ashish Bera, Ratnadeep Dey, Debotosh Bhattacharjee, M Nasipuri, Hubert P. H. Shum. “Spoofing Detection on Hand Images Using Quality Assessment.” Multimedia Tools and Applications. 2021.
2021Zhiying Leng, Jiaying Chen, Hubert P. H. Shum, Frederick Li, Xiaohui Liang. “Stable Hand Pose Estimation under Tremor via Graph Neural Network.” Proceedings of the 2021 IEEE Conference on Virtual Reality and 3D User Interfaces (VR). 2021.
2021Asish Bera, Debotosh Bhattacharjee, Hubert PH Shum. “Two-Stage Human Verification using HandCAPTCHA and Anti-Spoofed Finger Biometrics with Feature Selection.” Expert Systems with Applications. 2021.
2021Qianhui Men, Edmond S. L. Ho, Hubert P. H. Shum, Howard Leung. “A Quadruple Diffusion Convolutional Recurrent Network for Human Motion Prediction.” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). 2021.
2021Shanfeng Hu, Hubert P. H. Shum, Xiaohui Liang, Frederick WB Li, Nauman Aslam. “Facial Reshaping Operator for Controllable Face Beautification.” Expert Systems with Applications. 2021.
2021Arindam Kar, Sourav Pramanik, Arghya Chakraborty, Debotosh Bhattacharjee, Edmond S. L. Ho, Hubert P. H. Shum. “LMZMPM: Local Modified Zernike Moment Per-Unit Mass for Robust Human Face Recognition.” IEEE Transactions on Information Forensics and Security. 2021.
2021He Wang, Edmond S. L. Ho, Hubert P. H. Shum, Zhanxing Zhu. “Spatio-Temporal Manifold Learning for Human Motions via Long-Horizon Modeling.” IEEE Transactions on Visualization and Computer Graphics. 2021.
2020Patrice E Carbonneau, Stephen J Dugdale, Toby P Breckon, James T Dietrich, Mark A Fonstad, Hitoshi Miyamoto, Amy S Woodget. “Adopting deep learning methods for airborne RGB fluvial scene classification.” Remote Sensing of Environment. 2020.
2020William Thomson, Neelanjan Bhowmik, Toby P Breckon. “Efficient and compact convolutional neural network architectures for non-temporal real-time fire detection.” 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA). 2020.
2020Qian Wang, Neelanjan Bhowmik, Toby P Breckon. “Multi-class 3D object detection within volumetric 3D computed tomography baggage security screening imagery.” 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA). 2020.
2020Qian Wang, Fanlin Meng, Toby P Breckon. “Data augmentation with norm-vae for unsupervised domain adaptation.” arXiv preprint arXiv:2012.00848. 2020.
2020Aishah Alsehaim, Toby P Breckon. “Not 3D Re-ID: Simple single stream 2D convolution for robust video re-identification.” Proc. Int. Conf. Pattern Recognition. 2020.
2020Yona Falinie A Gaus, Neelanjan Bhowmik, Brian KS Isaac-Medina, Toby P Breckon. “Visible to infrared transfer learning as a paradigm for accessible real-time object detection and classification in infrared imagery.” Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies IV. 2020.
2020Amir Atapour-Abarghouei, Toby P Breckon. “Domain Adaptation via Image Style Transfer.” 2020.
2020Qian Wang, Neelanjan Bhowmik, Toby P Breckon. “On the evaluation of prohibited item classification and detection in volumetric 3d computed tomography baggage security screening imagery.” 2020 International Joint Conference on Neural Networks (IJCNN). 2020.
2020Nik Khadijah Nik Aznan, Amir Atapour-Abarghouei, Stephen Bonner, Jason D Connolly, Toby P Breckon. “Leveraging Synthetic Subject Invariant EEG Signals for Zero Calibration BCI.” arXiv e-prints. 2020.
2020Qian Wang, Najla Megherbi, Toby P Breckon. “A reference architecture for plausible threat image projection (TIP) within 3D X-ray computed tomography volumes.” Journal of X-ray Science and Technology. 2020.
2020Qian Wang, Toby Breckon. “Unsupervised domain adaptation via structured prediction based selective pseudo-labeling.” Proceedings of the AAAI conference on artificial intelligence. 2020.
2020Qian Wang, Khalid N Ismail, Toby P Breckon. “An approach for adaptive automatic threat recognition within 3D computed tomography images for baggage security screening.” Journal of X-ray Science and Technology. 2020.
2020Nik Khadijah, N Aznan, A Atapour-Abarghouei, S Bonner, JD Connolly, TP Breckon. “Leveraging Synthetic Subject Invariant EEG Signals for Zero Calibration BCI.” 25th International Conference on Pattern Recognition (ICPR2020). 2020.
2020Seyma Yucer, Samet Akçay, Noura Al-Moubayed, Toby P Breckon. “Exploring racial bias within face recognition via per-subject adversarially-enabled data augmentation.” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops. 2020.
2020Shiyi Wang, Ali E Turgut, Thomas Schmickl, Barry Lennox, Farshad Arvin. “Investigation of cue-based aggregation behaviour in complex environments.” 2020.
2020Zhe Ban, Craig West, Barry Lennox, Farshad Arvin. “Self-organised flocking with simulated homogeneous robotic swarm.” 2020.
2020Junyan Hu, Ali Emre Turgut, Tomáš Krajník, Barry Lennox, Farshad Arvin. “Occlusion-based coordination protocol design for autonomous robotic shepherding tasks.” IEEE Transactions on Cognitive and Developmental Systems. 2020.
2020Arash Amjadi, Mohsen Raoufi, Ali Emre Turgut, George Broughton, Tomas Krajnik, Farshad Arvin. “Cooperative pollution source exploration and cleanup with a bio-inspired swarm robot aggregation.” International Conference on Collaborative Computing: Networking, Applications and Worksharing. 2020.
2020Ahmad Alsayed, Mostafa Nabawy, Akilu Yunusa-Kaltungo, Mark Quinn, Farshad Arvin. “World’s First Drone-Assisted Safety Inspection and Monitoring System for Confined Spaces in Cement Plants.” IEEE UK-Ireland Robotics and Automation Society Conference. 2020.
2020Junyan Hu, Parijat Bhowmick, Farshad Arvin, Alexander Lanzon, Barry Lennox. “Cooperative Control of Heterogeneous Connected Vehicle Platoons: An Adaptive Leader-Following Approach.” IEEE Robotics and Automation Letters. 2020.
2020Junyan Hu, Hanlin Niu, Joaquin Carrasco, Barry Lennox, Farshad Arvin. “Voronoi-Based Multi-Robot Autonomous Exploration in Unknown Environments via Deep Reinforcement Learning.” IEEE Transactions on Vehicular Technology. 2020.
2020Zheyu Liu, Craig West, Barry Lennox, Farshad Arvin. “Local Bearing Estimation for a Swarm of Low-Cost Miniature Robots.” Sensors. 2020.
2020Peng-Zhi Li, De-Fu Zhang, Jun-Yan Hu, Barry Lennox, Farshad Arvin. “Hysteresis Modelling and Feedforward Control of Piezoelectric Actuator Based on Simplified Interval Type-2 Fuzzy System.” Sensors. 2020.
2020Amir Atapour-Abarghouei, A Stephen McGough, David S Wall. “Resolving the cybersecurity Data Sharing Paradox to scale up cybersecurity via a co-production approach towards data sharing.” 2020 IEEE International Conference on Big Data (Big Data). 2020.
2020John Brennan, Stephen Bonner, Amir Atapour-Abarghouei, Philip T Jackson, Boguslaw Obara, Andrew Stephen McGough. “Not Half Bad: Exploring Half-Precision in Graph Convolutional Neural Networks.” 2020 IEEE International Conference on Big Data (Big Data). 2020.
2020Nik Khadijah, N Aznan, A Atapour-Abarghouei, S Bonner, JD Connolly, TP Breckon. “Leveraging Synthetic Subject Invariant EEG Signals for Zero Calibration BCI.” 25th International Conference on Pattern Recognition (ICPR2020). 2020.
2020Amir Atapour-Abarghouei, Toby P Breckon. “Domain Adaptation via Image Style Transfer.” 2020.
2020Junyan Hu, Hanlin Niu, Joaquin Carrasco, Barry Lennox, Farshad Arvin. “Voronoi-Based Multi-Robot Autonomous Exploration in Unknown Environments via Deep Reinforcement Learning.” IEEE Transactions on Vehicular Technology. 2020.
2020Junyan Hu, Parijat Bhowmick, Alexander Lanzon. “Two‐layer distributed formation‐containment control strategy for linear swarm systems: Algorithm and experiments.” International Journal of Robust and Nonlinear Control. 2020.
2020Junyan Hu, Parijat Bhowmick, Farshad Arvin, Alexander Lanzon, Barry Lennox. “Cooperative control of heterogeneous connected vehicle platoons: An adaptive leader-following approach.” IEEE Robotics and Automation Letters. 2020.
2020Junyan Hu, Parijat Bhowmick, Alexander Lanzon. “Distributed Adaptive Time-Varying Group Formation Tracking for Multiagent Systems With Multiple Leaders on Directed Graphs.” IEEE Transactions on Control of Network Systems. 2020.
2020Junyan Hu, Parijat Bhowmick. “A consensus-based robust secondary voltage and frequency control scheme for islanded microgrids.” International Journal of Electrical Power & Energy Systems. 2020.
2020Pengzhi Li, Defu Zhang, Junyan Hu, Barry Lennox, Farshad Arvin. “Hysteresis Modelling and Feedforward Control of Piezoelectric Actuator Based on Simplified Interval Type-2 Fuzzy System.” Sensors. 2020.
2020Latifah Abduh, Ioannis Ivrissimtzis. “Use of in-the-wild images for anomaly detection in face anti-spoofing.” arXiv preprint arXiv:2006.10626. 2020.
2020Xin Zhang, Ning Jia, Ioannis Ivrissimtzis. “A study of the effect of the illumination model on the generation of synthetic training datasets.” arXiv preprint arXiv:2006.08819. 2020.
2020Marco Fiorucci, Marina Khoroshiltseva, Massimiliano Pontil, Arianna Traviglia, Alessio Del Bue, Stuart James. “Machine learning for cultural heritage: A survey.” Pattern Recognition Letters. 2020.
2020Meshal Al-Qahtani, Stamos Katsigiannis, Naeem Ramzan. “Information Retrieval from Electronic Health Records.” 2020.
2020Turke Althobaiti, Stamos Katsigiannis, Naeem Ramzan. “Triaxial accelerometer-based falls and activities of daily life detection using machine learning.” Sensors. 2020.
2020Pablo Arnau-González, Stamos Katsigiannis, Miguel Arevalillo-Herráez, Naeem Ramzan. “Artificial intelligence for affective computing: an emotion recognition case study..” 2020.
2020William Andrew Blakey, Stamos Katsigiannis, Navid Hajimirza, Naeem Ramzan. “Defining gaze tracking metrics by observing a growing divide between 2D and 3D tracking.” IS&T Electronic Imaging 2020, Human Vision and Electronic Imaging. 2020.
2020Pablo Arnau-González, Stamos Katsigiannis, Miguel Arevalillo-Herráez, Naeem Ramzan. “BED: Biometric EEG dataset.” BED: Biometric EEG dataset. 2020.
2020Pablo Arnau-González, Stamos Katsigiannis, Miguel Arevalillo-Herráez, Naeem Ramzan. “EEG-based biometrics: Effects of template ageing.” 2020.
2020Turke Althobaiti, Stamos Katsigiannis, Daune West, Hassan Rabah, Naeem Ramzan. “Machine learning-based affect detection within the context of human-horse interaction.” 2020.
2020Stamos Katsigiannis, Hassan Rabah, Naeem Ramzan. “A machine learning driven solution to the problem of perceptual video quality metrics.” 2020.
2020Jesús Vera, Beatriz Redondo, George-Alex Koulieris, Alejandro Torrejon, Raimundo Jiménez, Amador Garcia-Ramos. “Intraocular pressure responses to four different isometric exercises in men and women.” Optometry and Vision Science. 2020.
2020Jesús Vera, Beatríz Redondo, Rubén Molina, George-Alex Koulieris, Raimundo Jiménez. “Validation of an objective method for the qualitative and quantitative assessment of binocular accommodative facility.” Current Eye Research. 2020.
2020Panagiotis Drakopoulos, George Alex Koulieris, Katerina Mania. “Front camera eye tracking for mobile VR.” 2020 IEEE conference on virtual reality and 3D user interfaces abstracts and workshops (VRW). 2020.
2020James P Elliman, Sarath Bethapudi, George Alex Koulieris. “Medical Ultrasound Training in Virtual Reality..” CGVC. 2020.
2020Zili Zhang, Yunfei Li, Bailin Yang, Frederick WB Li, Xiaohui Liang. “Target‐driven cloud evolution using position‐based fluids.” Computer Animation and Virtual Worlds. 2020.
2020Xiaochuan Wang, Kai Wang, Bailin Yang, Frederick WB Li, Xiaohui Liang. “Perceptual Quality Assessment On DIBR Synthesized Videos With Composite Distortions.” 2020 IEEE International Conference on Image Processing (ICIP). 2020.
2020Zili Zhang, Yue Ma, Yunfei Li, Frederick WB Li, Hubert PH Shum, Bailin Yang, Jing Guo, Xiaohui Liang. “Cumuliform cloud formation control using parameter-predicting convolutional neural network.” Graphical Models. 2020.
2020Shanfeng Hu, Xiaohui Liang, Hubert PH Shum, Frederick WB Li, Nauman Aslam. “Sparse metric-based mesh saliency.” Neurocomputing. 2020.
2020Xianxuan Lin, Xun Wang, Frederick WB Li, Jinyu Li, Bailin Yang, Kaili Zhang, Tianxiang Wei. “Example‐based image recoloring in an indoor environment.” Computer Animation and Virtual Worlds. 2020.
2020Yinduo Wang, Haofeng Zhang, Zheng Zhang, Yang Long. “Asymmetric graph based zero shot learning.” Multimedia Tools and Applications. 2020.
2020Yang Long, Zheming Zuo, Yixin Su, Jie Li, Huajun Zhang. “An A*-based bacterial foraging optimisation algorithm for global path planning of unmanned surface vehicles.” The Journal of Navigation. 2020.
2020Junyan Wang, Yang Bai, Yang Long, Bingzhang Hu, Zhenhua Chai, Yu Guan, Xiaolin Wei. “Query twice: Dual mixture attention meta learning for video summarization.” 2020.
2020Haofeng Zhang, Li Liu, Yang Long, Zheng Zhang, Ling Shao. “Deep transductive network for generalized zero shot learning.” Pattern Recognition. 2020.
2020Haofeng Zhang, Jingren Liu, Yazhou Yao, Yang Long. “Pseudo distribution on unseen classes for generalized zero shot learning.” Pattern Recognition Letters. 2020.
2020Yang Long, Gui-Song Xia, Shengyang Li, Wen Yang, Michael Ying Yang, Xiao Xiang Zhu, Liangpei Zhang, Deren Li. “DiRS: On creating benchmark datasets for remote sensing image interpretation.” arXiv preprint arXiv:2006.12485. 2020.
2020Yinduo Wang, Haofeng Zhang, Zheng Zhang, Yang Long, Ling Shao. “Learning discriminative domain-invariant prototypes for generalized zero shot learning.” Knowledge-Based Systems. 2020.
2020Jin Li, Xuguang Lan, Yang Long, Yang Liu, Xingyu Chen, Ling Shao, Nanning Zheng. “A joint label space for generalized zero-shot classification.” IEEE Transactions on Image Processing. 2020.
2020Yongjian Ai, Lei Liu, Ze‐Nan Hu, Jifan Li, Shucheng Ren, Jiajing Wu, Yang Long, Hong‐bin Sun, Qionglin Liang. “In‐situ Construction of Graphite‐Supported Magnetic Carbocatalysts from a Metallo‐Supramolecular Polymer: High Performance for Catalytic Transfer Hydrogenation.” ChemNanoMat. 2020.
2020Yinduo Wang, Haofeng Zhang, Shidong Wang, Yang Long, Longzhi Yang. “Semantic combined network for zero‐shot scene parsing.” IET Image Processing. 2020.
2020Siyuan Tan, Yang Long, Qiang Han, Huiyuan Guan, Qionglin Liang, Mingyu Ding. “Designed fabrication of polymer-mediated MOF-derived magnetic hollow carbon nanocages for specific isolation of bovine hemoglobin.” ACS Biomaterials Science & Engineering. 2020.
2020Yang Long, Siyuan Tan, Qiang Han, Yongjian Ai, Yuqiang Sheng, Yi Wang, Haibo Wang, Youliang Xie, Qionglin Liang, Mingyu Ding. “Efficient water-mediated synthesis of bismuth oxyiodide with several distinct morphologies.” CrystEngComm. 2020.
2020Marie Farell, Nikos Mavrakis, Clare Dixon, Yang Gao. “Formal Verification of an Autonomous Grasping Algorithm.” International Symposium on Artificial Intelligence, Robotics and Automation in Space. 2020.
2020Nikos Mavrakis, Yang Gao. “Stable Robotic Grasp Synthesis On A Spent Rocket Stage For On-Orbit Capturing.” International Symposium on Artificial Intelligence, Robotics and Automation in Space. 2020.
2020Nikos Mavrakis, Amir M. Ghalamzan E., Rustam Stolkin. “Estimating An Object’s Inertial Parameters By Robotic Pushing: A Data-Driven Approach.” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 2020.
2020Thomas Winterbottom, Sarah Xiao, Alistair McLean, Noura Al Moubayed. “Trying bilinear pooling in video-QA.” arXiv preprint arXiv:2012.10285. 2020.
2020Amit Gajbhiye, Thomas Winterbottom, Noura Al Moubayed, Steven Bradley. “Bilinear fusion of commonsense knowledge with attention-based NLI models.” 2020.
2020Zakhriya Alhassan, David Budgen, Riyad Alshammari, Noura Al Moubayed. “Predicting current glycated hemoglobin levels in adults from electronic health records: validation of multiple logistic regression algorithm.” JMIR medical informatics. 2020.
2020Dean L Slack, Mariann Hardey, Noura Al Moubayed. “On the Hierarchical Information in a Single Contextualised Word Representation (Student Abstract).” Proceedings of the AAAI Conference on Artificial Intelligence. 2020.
2020Noura Al Moubayed, Stephen McGough, Bashar Awwad Shiekh Hasan. “Beyond the topics: how deep learning can improve the discriminability of probabilistic topic modelling.” PeerJ Computer Science. 2020.
2020T Winterbottom, S Xiao, A McLean, N Al Moubayed. “On modality bias in the TVQA dataset..” British Machine Vision Conference. 2020.
2020Seyma Yucer, Samet Akçay, Noura Al-Moubayed, Toby P Breckon. “Exploring racial bias within face recognition via per-subject adversarially-enabled data augmentation.” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops. 2020.
2020R.A. Wekilala, P. Remagnino, J.H. Lim, C.S. Chan, S. Rajendran, R.B. Kallarakkal, T.G., Zain, R.D. Jayasinghe, J. Rimal, A.R. Kerr, R. Amtha, K. Patil, W.M. Tilakaratne, S.C. Cheong, S.A. Barman. “Fine-Tuning Deep Learning Architectures for Early Detection of Oral Cancer.” International Symposium on Mathematical and Computational Oncology. 2020.
2020Anish Khadka, Vasileios Argyriou, Paolo Remagnino. “Accurate deep net crowd counting for smart IoT video acquisition devices.” 2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS). 2020.
2020S Schez-Sobrino, D Vallejo, DN Monekosso, C Glez-Morcillo, P Remagnino. “A Distributed Gamified.” 2020.
2020F. Sottile, others others, Paolo Remagnino, others others. “IoT Solutions for Large Open-Air Events.” 2020.
2020R.A. Welikala, P. Remagnino, J.H. Lim, C.S. Chan, S.C. Cheong, S.A. Barman. “Automated Detection and Classification of Oral Lesions using Deep Learning for Early Detection of Oral Cancer.” IEEE Access. 2020.
2020Jiri Fajtl, Vasili Argyriou, Dorothy N. Monekosso, Paolo Remagnino. “Latent Bernoulli Autoencoder.” to appear in International Conference on Machine Learning. 2020.
2020J Fajtl, L. Vitali, V. Argyriou, D.N. Monekosso, P. Remagnino. “Unsupervised methods for a personalised route recommendation system.” IEEE/IET International Symposium on Communication Systems, Networks and Digital Signal Processing. 2020.
2020S. Schez-Sobrino, D. Vallejo, D.N. Monekosso, C. Glez-Morcillo, P. Remagnino. “A distributed gamified system based on automatic assessment of physical exercises to promote remote physical rehabilitation.” IEEE Access. 2020.
2020Anish Khadka, Paolo Remagnino, Vasili Argyriou. “Synthetic crowd and pedestrian generator for deep learning problems.” International Conference on Acoustics, Speech, and Signal Processing. 2020.
2020RA Saeed, Diego Reforgiato Recupero, Paolo Remagnino. “A Boundary Node Method for path planning of mobile robots.” Robotics and Autonomous Systems. 2020.
2020R Dupre, J Fajtl, V Argyriou, P Remagnino. “Improving Dataset Volumes and Model Accuracy with Semi-Supervised Iterative Self-Learning.” IEEE Transactions on Image Processing. 2020.
2020Yuan Hu, Hubert P. H. Shum, Edmond S. L. Ho. “Multi-Task Deep Learning with Optical Flow Features for Self-Driving Cars.” IET Intelligent Transport Systems.. 2020.
2020Zili Zhang, Yue Ma, Yunfei Li, Frederick W. B. Li, Hubert P. H. Shum, Bailin Yang, Jing Guo, Xiaohui Liang. “Cumuliform Cloud Formation Control using Parameter-predicting Convolutional Neural Network.” Graphical Models. 2020.
2020Daniel Organisciak, Dimitrios Sakkos, Edmond S. L. Ho, Nauman Aslam, Hubert P. H. Shum. “Unifying Person and Vehicle Re-Identification.” IEEE Access. 2020.
2020Ying Huang, Hubert P. H. Shum, Edmond S. L. Ho, Nauman Aslam. “High-Speed Multi-Person Pose Estimation with Deep Feature Transfer.” Computer Vision and Image Understanding. 2020.
2020Marie-Paule Cani, Edmond S. L. Ho, Tiberiu Popa, Hubert P. H. Shum. “Foreword to Special Section on Motion, Interactions and Games.” 2020.
2020Edmond S. L. Ho, Kevin Mccay, Hubert P. H. Shum, Gerhard Fehringer, Claire Marcroft, Nicholas Embleton. “Abnormal Infant Movements Classification with Deep Learning on Pose-Based Features.” IEEE Access. 2020.
2020Shanfeng Hu, Xiaohui Liang, Hubert P. H. Shum, Frederick W. B. Li, Nauman Aslam. “Sparse Metric-Based Mesh Saliency.” Neurocomputing. 2020.
2020Ling Shao, Hubert PH Shum, Timothy Hospedales. “Editorial: Special Issue on Machine Vision with Deep Learning.” International Journal of Computer Vision. 2020.
2020Munmun Bhattacharya, Sandip Roy, Kamlesh Mistry, Hubert P. H. Shum, Samiran Chattopadhyay. “A Privacy-Preserving Efficient Location-Sharing Scheme for Mobile Online Social Network Applications.” IEEE Access. 2020.
2020Qianhui Men, Edmond S. L. Hoy, Hubert P. H. Shum, Howard Leung. “A Two-Stream Recurrent Network for Skeleton-Based Human Interaction Recognition.” Proceedings of the 2020 International Conference on Pattern Recognition (ICPR). 2020.
2019Neelanjan Bhowmik, Yona Falinie A Gaus, Samet Akçay, Jack W Barker, Toby P Breckon. “On the impact of object and sub-component level segmentation strategies for supervised anomaly detection within x-ray security imagery.” 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA). 2019.
2019Philip Adey, Oliver Hamilton, Magnus Bordewich, Toby Breckon. “Region based anomaly detection with real-time training and analysis.” 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA). 2019.
2019Khalid Ismail, Toby Breckon. “On the performance of extended real-time object detection and attribute estimation within urban scene understanding.” 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA). 2019.
2019Ganesh Samarth CA, Neelanjan Bhowmik, Toby P Breckon. “Experimental exploration of compact convolutional neural network architectures for non-temporal real-time fire detection.” 2019 18th IEEE International conference on machine learning and applications (ICMLA). 2019.
2019Yona Falinie A Gaus, Neelanjan Bhowmik, Samet Akcay, Toby Breckon. “Evaluating the transferability and adversarial discrimination of convolutional neural networks for threat object detection and classification within x-ray security imagery.” 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA). 2019.
2019Bruna G Maciel-Pearson, Letizia Marchegiani, Samet Akcay, Amir Atapour-Abarghouei, James Garforth, Toby P Breckon. “Online deep reinforcement learning for autonomous UAV navigation and exploration of outdoor environments.” arXiv preprint arXiv:1912.05684. 2019.
2019Neelanjan Bhowmik, Yona Falinie A Gaus, Toby P Breckon. “Using deep neural networks to address the evolving challenges of concealed threat detection within complex electronic items.” 2019 IEEE International Symposium on Technologies for Homeland Security (HST). 2019.
2019Yona Falinie A Gaus, Neelanjan Bhowmik, Toby P Breckon. “On the use of deep learning for the detection of firearms in x-ray baggage security imagery.” 2019 IEEE International Symposium on Technologies for Homeland Security (HST). 2019.
2019Mahnaz Mohammadi, Sardar Jaf, Andrew Stephen McGough, Toby P Breckon, Peter Matthews, Georgios Theodoropoulos, Boguslaw Obara. “On the Use of Neural Text Generation for the Task of Optical Character Recognition.” 2019 IEEE/ACS 16th International Conference on Computer Systems and Applications (AICCSA). 2019.
2019Amir Atapour-Abarghouei, Toby P Breckon. “Dealing with missing depth: recent advances in depth image completion and estimation.” 2019.
2019Neelanjan Bhowmik, Qian Wang, Yona Falinie A Gaus, Marcin Szarek, Toby P Breckon. “The good, the bad and the ugly: Evaluating convolutional neural networks for prohibited item detection using real and synthetically composited X-ray imagery.” arXiv preprint arXiv:1909.11508. 2019.
2019Shenhui Peng, Sei-ichiro Kamata, Toby P Breckon. “A ranking based attention approach for visual tracking.” 2019 IEEE International Conference on Image Processing (ICIP). 2019.
2019Amir Atapour-Abarghouei, Toby P Breckon. “Monocular segment-wise depth: Monocular depth estimation based on a semantic segmentation prior.” 2019 IEEE International Conference on Image Processing (ICIP). 2019.
2019Felix Stephenson, Toby P Breckon, Ioannis Katramados. “Degraf-flow: Extending degraf features for accurate and efficient sparse-to-dense optical flow estimation.” 2019 IEEE International Conference on Image Processing (ICIP). 2019.
2019Qian Wang, Ning Jia, Toby P Breckon. “A baseline for multi-label image classification using an ensemble of deep convolutional neural networks.” 2019 IEEE International Conference on Image Processing (ICIP). 2019.
2019Bruce Donaldson Grieve, Tom Duckett, Martin Collison, Lesley Boyd, Jon West, Hujun Yin, Farshad Arvin, Simon Pearson. “The challenges posed by global broadacre crops in delivering smart agri-robotic solutions: A fundamental rethink is required.” 2019.
2019Seongin Na, Mohsen Raoufi, Ali Emre Turgut, Tomas Krajnik, Barry Lennox, Farshad Arvin. “Advection and Diffusion Effects Towards a Bio-inspired Artificial Pheromone System.” 2019.
2019Mohsen Raoufi, Ali Emre Turgut, Barry Lennox, Farshad Arvin. “Self-organised Flocking in Robotic Swarm based on Active Elastic Sheet.” 2019.
2019Arash S Amjadi, Mohsen Raoufi, Ali E Turgut, George Broughton, Tomáš Krajník, Farshad Arvin. “Cooperative Pollution Source Localization and Cleanup with a Bio-inspired Swarm Robot Aggregation.” arXiv preprint arXiv:1907.09585. 2019.
2019Ola Skeik, Junyan Hu, Farshad Arvin, Alexander Lanzon. “Cooperative Control of Integrator Negative Imaginary Systems with Application to Rendezvous Multiple Mobile Robots.” 2019 12th International Workshop on Robot Motion and Control (RoMoCo). 2019.
2019Seongin Na, Mohsen Raoufi, Ali Emre Turgut, Tomáš Krajník, Farshad Arvin. “Extended artificial pheromone system for swarm robotic applications.” Artificial life conference proceedings. 2019.
2019Craig West, Farshad Arvin, Wei Cheah, Andrew West, Simon Watson, Manuel Giuliani, Barry Lennox. “A debris clearance robot for extreme environments.” 2019.
2019Mohsen Raoufi, Ali Emre Turgut, Farshad Arvin. “Self-organized collective motion with a simulated real robot swarm.” 2019.
2019Wei Cheah, Hassan Hakim Khalili, Farshad Arvin, Peter Green, Simon Watson, Barry Lennox. “Advanced motions for hexapods.” International Journal of Advanced Robotic Systems. 2019.
2019Bruna G Maciel-Pearson, Letizia Marchegiani, Samet Akcay, Amir Atapour-Abarghouei, James Garforth, Toby P Breckon. “Online Deep Reinforcement Learning for Autonomous UAV Navigation and Exploration of Outdoor Environments.” arXiv preprint arXiv:1912.05684. 2019.
2019Amir Atapour-Abarghouei, Stephen Bonner, Andrew Stephen McGough. “Volenti non fit injuria: Ransomware and its Victims.” 2019 IEEE International Conference on Big Data (Big Data). 2019.
2019Stephen Bonner, Amir Atapour-Abarghouei, Philip T Jackson, John Brennan, Ibad Kureshi, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara. “Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variational Graph Convolutions.” 2019 IEEE International Conference on Big Data (Big Data). 2019.
2019Amir Atapour-Abarghouei, Stephen Bonner, Andrew Stephen McGough. “A King’s Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation.” 2019 IEEE International Conference on Big Data (Big Data). 2019.
2019Amir Atapour-Abarghouei, Toby P Breckon. “Monocular segment-wise depth: Monocular depth estimation based on a semantic segmentation prior.” 2019 IEEE International Conference on Image Processing (ICIP). 2019.
2019Amir Atapour-Abarghouei, Toby P Breckon. “To complete or to estimate, that is the question: A Multi-Task Approach to Depth Completion and Monocular Depth Estimation.” 2019 International Conference on 3D Vision (3DV). 2019.
2019Bruna G Maciel-Pearson, Samet Akçay, Amir Atapour-Abarghouei, Christopher Holder, Toby P Breckon. “Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor Environments.” IEEE Robotics and Automation Letters. 2019.
2019Samet Akçay, Amir Atapour-Abarghouei, Toby P Breckon. “Skip-ganomaly: Skip connected and adversarially trained encoder-decoder anomaly detection.” 2019 International Joint Conference on Neural Networks (IJCNN). 2019.
2019Nik Khadijah Nik Aznan, Amir Atapour-Abarghouei, Stephen Bonner, Jason D Connolly, Noura Al Moubayed, Toby P Breckon. “Simulating brain signals: Creating synthetic eeg data via neural-based generative models for improved ssvep classification.” 2019 International Joint Conference on Neural Networks (IJCNN). 2019.
2019Amir Atapour-Abarghouei, Samet Akcay, Grégoire Payen de La Garanderie, Toby P Breckon. “Generative adversarial framework for depth filling via Wasserstein metric, cosine transform and domain transfer.” Pattern Recognition. 2019.
2019Philip TG Jackson, Amir Atapour Abarghouei, Stephen Bonner, Toby P Breckon, Boguslaw Obara. “Style augmentation: data augmentation via style randomization..” CVPR Workshops. 2019.
2019Amir Atapour-Abarghouei. “Immaculate Depth Perception: Recovering 3D Scene Information via Depth Completion and Prediction.” 2019.
2019Amir Atapour-Abarghouei, Toby P Breckon. “Dealing with Missing Depth: Recent Advances in Depth Image Completion and Estimation.” 2019.
2019Amir Atapour-Abarghouei, Toby P Breckon. “Veritatem dies aperit-temporally consistent depth prediction enabled by a multi-task geometric and semantic scene understanding approach.” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2019.
2019Junyan Hu, Alexander Lanzon. “Distributed finite-time consensus control for heterogeneous battery energy storage systems in droop-controlled microgrids.” IEEE Transactions on Smart Grid. 2019.
2019Ola Skeik, Junyan Hu, Farshad Arvin, Alexander Lanzon. “Cooperative control of integrator negative imaginary systems with application to rendezvous multiple mobile robots.” 2019 International Workshop on Robot Motion and Control (RoMoCo). 2019.
2019Latifah Abduh, Ioannis P Ivrissimtzis. “Colour Processing in Adversarial Attacks on Face Liveness Systems..” CGVC. 2019.
2019Luma Omar, Ioannis Ivrissimtzis. “Using theoretical ROC curves for analysing machine learning binary classifiers.” Pattern Recognition Letters. 2019.
2019Ioannis Ivrissimtzis, David Singerman, James Strudwick. “From Farey fractions to the Klein quartic and beyond.” arXiv preprint arXiv:1909.08568. 2019.
2019Ioannis Ivrissimtzis, Norbert Peyerimhoff, Alina Vdovina. “Publisher’s copyright statement: Additional information.” 2019.
2019Xin Zhang, Ning Jia, Ioannis Ivrissimtzis. “Watermark retrieval from 3D printed objects via synthetic data training.” arXiv preprint arXiv:1905.09706. 2019.
2019Daniele Giunchi, Stuart James, Donald Degraen, Anthony Steed. “Mixing realities for sketch retrieval in virtual reality.” 2019.
2019Vaibhav Bansal, Stuart James, Alessio Del Bue. “re-obj: Jointly learning the foreground and background for object instance re-identification.” 2019.
2019Yiming Wang, Stuart James, Elisavet Konstantina Stathopoulou, Carlos Beltrán-González, Yoshinori Konishi, Alessio Del Bue. “Autonomous 3-d reconstruction, mapping, and exploration of indoor environments with a robotic arm.” IEEE Robotics and Automation Letters. 2019.
2019Eirini Kostopoulou, Stamos Katsigiannis, Dimitris Maroulis. “SpotDSQ: a 2D-gel image analysis tool for protein spot detection, segmentation and quantification.” 19th IEEE International Conference on Bioinformatics and Bioengineering (BIBE). 2019.
2019Fehaid Alqahtani, Stamos Katsigiannis, Naeem Ramzan. “On the use of ECG and EMG signals for question difficulty level prediction in the context of Intelligent Tutoring Systems.” 19th IEEE International Conference on Bioinformatics and Bioengineering (BIBE). 2019.
2019Pablo Arnau-González, Stamos Katsigiannis, Miguel Arevalillo-Herráez, Naeem Ramzan. “Image-evoked affect and its impact on eeg-based biometrics.” 2019 IEEE International Conference on Image Processing (ICIP). 2019.
2019Fehaid Alqahtani, Stamos Katsigiannis, Naeem Ramzan. “ECG-based affective computing for difficulty level prediction in intelligent tutoring systems.” 2019 uk/china emerging technologies (ucet). 2019.
2019Stamos Katsigiannis, Wasim Ahmad, Naeem Ramzan. “5G: Disruption in Media and Entertainment.” 2019.
2019Turke Althobaiti, Stamos Katsigiannis, Daune West, Naeem Ramzan. “Examining human-horse interaction by means of affect recognition via physiological signals.” Ieee access. 2019.
2019Oussama Kerdjidj, Abbes Amira, Khalida Ghanem, Naeem Ramzan, Stamos Katsigiannis, Fatima Chouireb. “An FPGA implementation of the matching pursuit algorithm for a compressed sensing enabled e-Health monitoring platform.” Microprocessors and Microsystems. 2019.
2019Miguel Arevalillo-Herráez, Guillermo Chicote-Huete, Francesc J Ferri, Aladdin Ayesh, Jesús G Boticario, Stamos Katsigiannis, Naeem Ramzan, Pablo Arnau-González. “On using EEG signals for emotion modeling and biometrics.” 33rd Annual European Simulation and Modelling Conference, ESM 2019. 2019.
2019Fangcheng Zhong, George Koulieris, George Drettakis, Martin Banks, Mathieu Chambe, Frédo Durand, Rafał Mantiuk. “DiCE: Dichoptic Contrast Enhancement for VR and Stereo Displays.” ACM Transactions on Graphics (TOG). 2019.
2019Fangeheng Zhong, George Alex Koulieris, George Drettakis, Martin S Banks, Mathieu Chambe, Fredo Durand, Rafal Mantiuk. “DiCE: dichoptic contrast enhancement for binocular displays.” 2019.
2019J. Vera, R. Rodríguez, D. García, A. Pérez, B. Redondo, G. Delgado, G. A. Koulieris, A. García. “Acute Intraocular Pressure Changes during Isometric Exercise and Recovery: the Influence of Exercise Type and Intensity, and Participant´s Sex.” Journal of Sports Sciences. 2019.
2019George Alex Koulieris, Kaan Akşit, Michael Stengel, Rafał K Mantiuk, Katerina Mania, Christian Richardt. “Near‐eye display and tracking technologies for virtual and augmented reality.” Computer Graphics Forum. 2019.
2019Raimundo Jimenez, Carlos Gustavo De Moraes, Amador García Ramos, Alejandro Torrejón, Beatríz Redondo, George-Alex Koulieris, Jesús Vera. “Investigating the immediate and cumulative effects of isometric squat exercise for different weight loads on intraocular pressure: a pilot study.” 2019.
2019Amador García-Ramos, Alejandro Pérez-Castilla, Beatriz García-Durán, Gabriel Delgado, George-Alex Koulieris, Jesús Vera, Beatriz Redondo, Raimundo Jiménez. “Acute intraocular pressure changes during isometric exercise and recovery: the influence of exercise type and intensity, and participant´ s sex.” 2019.
2019Jesús Vera, Raimundo Jiménez, Beatríz Redondo, Alejandro Torrejón, George Alex Koulieris, Carlos Gustavo de Moraes, Amador García-Ramos. “Investigating the Immediate and Cumulative Effects of Isometric Squat Exercise for Different Weight Loads on Intraocular Pressure: a Pilot Study..” Sports Health. 2019.
2019Shanfeng Hu, Hubert PH Shum, Nauman Aslam, Frederick WB Li, Xiaohui Liang. “A unified deep metric representation for mesh saliency detection and non-rigid shape matching.” IEEE Transactions on Multimedia. 2019.
2019Bailin Yang, Zhaoyi Jiang, Jiantao Shangguan, Frederick WB Li, Chao Song, Yibo Guo, Mingliang Xu. “Compressed dynamic mesh sequence for progressive streaming.” Computer Animation and Virtual Worlds. 2019.
2019Bailin Yang, Tianxiang Wei, Xianyong Fang, Zhigang Deng, Frederick WB Li, Yun Ling, Xun Wang. “A color‐pair based approach for accurate color harmony estimation.” Computer Graphics Forum. 2019.
2019Xiaochuan Wang, Kai Wang, Bailin Yang, Frederick WB Li, Xiaohui Liang. “Deep blind synthesized image quality assessment with contextual multi-level feature pooling.” 2019 IEEE International Conference on Image Processing (ICIP). 2019.
2019Muna Almushyti, Frederick WB Li. “Recognising Human-Object Interactions Using Attention-based LSTMs..” CGVC. 2019.
2019Amani Alsaqqaf, Frederick Li. “Correction to: Conceptual Framework for Virtual Field Trip Games.” 2019.
2019Amani Alsaqqaf, Frederick Li. “Conceptual framework for virtual field trip games.” 2019.
2019Yang Lu, Xiaohui Liang, Frederick WB Li. “Multi-Scale Dual-Branch Fully Convolutional Network for Hand Parsing.” arXiv preprint arXiv:1905.10100. 2019.
2019Bailin Yang, Luhong Zhang, Frederick WB Li, Xiaoheng Jiang, Zhigang Deng, Meng Wang, Mingliang Xu. “Motion-aware compression and transmission of mesh animation sequences.” ACM Transactions on Intelligent Systems and Technology (TIST). 2019.
2019Xiaochuan Wang, Xiaohui Liang, Bailin Yang, Frederick WB Li. “No-reference synthetic image quality assessment with convolutional neural network and local image saliency.” Computational Visual Media. 2019.
2019Haofeng Zhang, Huaqi Mao, Yang Long, Wankou Yang, Ling Shao. “A probabilistic zero-shot learning method via latent nonnegative prototype synthesis of unseen classes.” IEEE transactions on neural networks and learning systems. 2019.
2019Federico Angelini, Zeyu Fu, Yang Long, Ling Shao, Syed Mohsen Naqvi. “2D pose-based real-time human action recognition with occlusion-handling.” IEEE Transactions on Multimedia. 2019.
2019Haofeng Zhang, Yang Long, Ling Shao. “Zero-shot leaning and hashing with binary visual similes.” Multimedia Tools and Applications. 2019.
2019Junyan Wang, Bingzhang Hu, Yang Long, Yu Guan. “Order Matters: Shuffling Sequence Generation for Video Prediction.” BMVC. 2019.
2019Huaqi Mao, Haofeng Zhang, Yang Long, Shidong Wang, Longzhi Yang. “A General Transductive Regularizer for Zero-Shot Learning.” BMVC. 2019.
2019Peng Zhang, Jie Zhang, Yang Long, Bingzhang Hu. “An improved reinforcement learning control strategy for batch processes.” 2019 24th international conference on methods and models in automation and robotics (MMAR). 2019.
2019Yan Gao, Yang Long, Yu Guan, Anna Basu, Jessica Baggaley, Thomas Plötz. “Automated general movement assessment for perinatal stroke screening in infants.” 2019.
2019Yan Gao, Yang Long, Yu Guan, Anna Basu, Jessica Baggaley. “Screening in Infants.” Smart Assisted Living: Toward An Open Smart-Home Infrastructure. 2019.
2019Peng Zhang, Jie Zhang, Bingzhang Hu, Yang Long. “Optimization control of a fed-batch process using an improved reinforcement learning algorithm.” 2019 IEEE Conference on Control Technology and Applications (CCTA). 2019.
2019Luca Baronti, Mark Alston, Nikos Mavrakis, Amir M Ghalamzan E, Marco Castellani. “Primitive shape fitting in point clouds using the bees algorithm.” Applied Sciences. 2019.
2019Nikos Mavrakis, Rustam Stolkin. “Estimation and Exploitation of Objects’ Inertial Parameters in Robotic Grasping and Manipulation: A Survey.” 2019.
2019Zhou Hao, Nikos Mavrakis, Pedro Proenca, Richard Gillham Darnley, Saber Fallah, Martin Sweeting, Yang Gao. “Ground-Based High-DOF AI And Robotics Demonstrator For In-Orbit Space Optical Telescope Assembly.” International Astronautical Congress. 2019.
2019Nikos Mavrakis, Yang Gao. “Visually Guided Robot Grasping of a Spacecraft’s Apogee Kick Motor.” 15th Symposium on Advanced Space Technologies in Robotics and Automation (ASTRA). 2019.
2019Zakhriya Alhassan, David Budgen, Ali Alessa, Riyad Alshammari, Tahani Daghstani, Noura Al Moubayed. “Collaborative denoising autoencoder for high glycated haemoglobin prediction.” 2019.
2019Nik Khadijah Nik Aznan, Amir Atapour-Abarghouei, Stephen Bonner, Jason D Connolly, Noura Al Moubayed, Toby P Breckon. “Simulating brain signals: Creating synthetic eeg data via neural-based generative models for improved ssvep classification.” 2019 International joint conference on neural networks (IJCNN). 2019.
2019Nik Khadijah Nik Aznan, Jason D Connolly, Noura Al Moubayed, Toby P Breckon. “Using variable natural environment brain-computer interface stimuli for real-time humanoid robot navigation.” 2019 international conference on robotics and automation (ICRA). 2019.
2019Nik Khadijah Nik Aznan, Amir Atapour-Abarghouei, Stephen Bonner, Jason Connolly, Noura Al Moubayed, Toby Breckon. “Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification.” arXiv e-prints. 2019.
2019Mahdi Maktab Dar Oghaz, Vasileios Argyriou, Dorothy Monekosso, Paolo Remagnino. “Skin identification using deep convolutional neural network.” 2019.
2019Hamideh Kerdegari, Manzoor Razaak, Vasileios Argyriou, Paolo Remagnino. “Urban scene segmentation using semi-supervised GAN.” Image and Signal Processing for Remote Sensing XXV. 2019.
2019Vasileios Argyriou, Dorothy Monekosso, Paolo Remagnino, Mahdi Maktab Dar Oghaz. “Skin identification using deep convolutional neural network.” 14th International Symposium on Visual Computing, ISVC 2019. 2019.
2019Manzoor Razaak, Hamideh Kerdegari, Vasileios Argyriou, Paolo Remagnino. “Multi-scale feature fused single shot detector for small object detection in UAV images.” 2019.
2019Manzoor Razaak, Hamideh Kerdegari, Eleanor Davies, Raouf Abozariba, Matthew Broadbent, Katy Mason, Vasileios Argyriou, Paolo Remagnino. “An Integrated Precision Farming Application based on 5G, UAV and Deep Learning.” 2019.
2019Manzoor Razaak, Hamideh Kerdegari, Eleanor Davies, Raouf Abozariba, Matthew Broadbent, Katy Mason, Vasileios Argyriou, Paolo Remagnino. “An integrated precision farming application based on 5G, UAV and deep learning technologies.” 2019.
2019Hamideh Kerdegari, Manzoor Razaak, Vasileios Argyriou, Paolo Remagnino. “Smart monitoring of crops using generative adversarial networks.” 2019.
2019Mahdi Maktabdar Oghaz, Anish R Khadka, Vasileios Argyriou, Paolo Remagnino. “Content-aware density map for crowd counting and density estimation.” arXiv preprint arXiv:1906.07258. 2019.
2019Mahdi Maktabdar Oghaz, Anish R Khadka, Vasileios Argyriou, Paolo Remagnino. “Content-aware Density Map for Crowd Counting and Density Estimation.” arXiv e-prints. 2019.
2019Antoine Rimboux, Rob Dupre, Eldriona Daci, Thomas Lagkas, Panagiotis Sarigiannidis, Paolo Remagnino, Vasileios Argyriou. “Smart IoT cameras for crowd analysis based on augmentation for automatic pedestrian detection, simulation and annotation.” 2019 15th International Conference on Distributed Computing in Sensor Systems (DCOSS). 2019.
2019Hamideh Kerdegari, Manzoor Razaak, Vasileios Argyriou, Paolo Remagnino. “Semi-supervised GAN for classification of multispectral imagery acquired by UAVs.” arXiv preprint arXiv:1905.10920. 2019.
2019S. Schez-Sobrino, D.N. Monekosso, P. Remagnino, D. Vallejo, C. González. “Automatic Recognition of Physical Exercises performed by stroke survivors to improve remote rehabilitation.” International Conference on Multimedia Analysis and Pattern Recognition. 2019.
2019H Kerdegari, M. Razaak, A. Khadka, V. Argyriou, P. Remagnino. “Semi-supervised GAN for Multispectral Image Classification.” International Conference on Digital Image & Signal Processing. 2019.
2019M.M. Oghaz, M. Razaak, H. Kerdegari, V. Argyriou, P. Remagnino. “Scene and Environment Monitoring Using Aerial Imagery and Deep Learning.” International Workshop on IoT Applications and Industry 4.0. 2019.
2019R. Dupre, J. Fajtl, P. Remagnino, V. Argyriou. “Iterative Self-Learning: Semi-Supervised Improvement to Dataset Volumes and Model Accuracy.” CVPR Workshop on Uncertainty and Robustness in Deep Visual Learning. 2019.
2019A.R Khadka, V. Oghaz, M.M., Argyriou, P. Remagnino. “Learning how to analyse crowd behaviour using synthetic data.” Int. Conf. Computer Animation and Social Agents. 2019.
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