| Scaling Egocentric Vision: The EPIC-KITCHENS Dataset D Damen, H Doughty, GM Farinella, S Fidler, A Furnari, E Kazakos, ... European Conference on Computer Vision (ECCV), 2018 | 666 | 2018 |
| EPIC-Fusion: Audio-Visual Temporal Binding for Egocentric Action Recognition E Kazakos, A Nagrani, A Zisserman, D Damen International Conference on Computer Vision (ICCV), 2019 | 206 | 2019 |
| Rescaling Egocentric Vision: Collection, Pipeline and Challenges for EPIC-KITCHENS-100 D Damen, H Doughty, GM Farinella, A Furnari, E Kazakos, J Ma, ... International Journal of Computer Vision, 1-23, 2021 | 203* | 2021 |
| You-Do, I-Learn: Discovering Task Relevant Objects and their Modes of Interaction from Multi-User Egocentric Video D Damen, T Leelasawassuk, O Haines, A Calway, W Mayol-Cuevas, ... British Machine Vision Conference (BMVC), 2014 | 133 | 2014 |
| Multi-Modal Domain Adaptation for Fine-Grained Action Recognition J Munro, D Damen Computer Vision and Pattern Recognition (CVPR), 2020 | 126 | 2020 |
| Ego4d: Around the world in 3,000 hours of egocentric video K Grauman, A Westbury, E Byrne, Z Chavis, A Furnari, R Girdhar, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 103 | 2022 |
| Fine-Grained Action Retrieval Through Multiple Parts-of-Speech Embeddings M Wray, D Larlus, G Csurka, D Damen International Conference on Computer Vision (ICCV), 2019 | 103 | 2019 |
| Who's Better? Who's Best? Pairwise Deep Ranking for Skill Determination H Doughty, D Damen, W Mayol-Cuevas Computer Vision and Pattern Recognition (CVPR), 2018 | 93 | 2018 |
| The EPIC-KITCHENS dataset: Collection, challenges and baselines D Damen, H Doughty, G Farinella, S Fidler, A Furnari, E Kazakos, ... IEEE Transations on Pattern Analysis and Machine Intelligence (TPAMI) 43 (11 …, 2021 | 88 | 2021 |
| Real-time Learning and Detection of 3D Texture-less Objects: A Scalable Approach D Damen, P Bunnun, A Calway, W Mayol-Cuevas British Machine Vision Conference, 2012 | 85 | 2012 |
| Real-time RGB-D Tracking with Depth Scaling Kernelised Correlation Filters and Occlusion Handling. M Camplani, SL Hannuna, M Mirmehdi, D Damen, A Paiement, L Tao, ... BMVC 3, 2015 | 82 | 2015 |
| A multi-modal sensor infrastructure for healthcare in a residential environment P Woznowski, X Fafoutis, T Song, S Hannuna, M Camplani, L Tao, ... 2015 IEEE International Conference on Communication Workshop (ICCW), 271-277, 2015 | 77 | 2015 |
| SPHERE: A sensor platform for healthcare in a residential environment P Woznowski, A Burrows, T Diethe, X Fafoutis, J Hall, S Hannuna, ... Designing, developing, and facilitating smart cities, 315-333, 2017 | 75 | 2017 |
| Online quality assessment of human movement from skeleton data A Paiement, L Tao, S Hannuna, M Camplani, D Damen, M Mirmehdi British Machine Vision Conference, 153-166, 2014 | 69 | 2014 |
| Recognizing linked events: Searching the space of feasible explanations D Damen, D Hogg 2009 IEEE Conference on Computer Vision and Pattern Recognition, 927-934, 2009 | 69 | 2009 |
| A comparative study of pose representation and dynamics modelling for online motion quality assessment L Tao, A Paiement, D Damen, M Mirmehdi, S Hannuna, M Camplani, ... Computer Vision and Image Understanding 11, 2016 | 67 | 2016 |
| The Pros and Cons: Rank-aware Temporal Attention for Skill Determination in Long Videos H Doughty, W Mayol-Cuevas, D Damen Computer Vision and Pattern Recognition (CVPR), 2019 | 64 | 2019 |
| Multiple human tracking in RGB-D Data: A Survey M Camplani, A Paiement, M Mirmehdi, D Damen, S Hannuna, ... arXiv preprint arXiv:1606.04450, 2016 | 64* | 2016 |
| DS-KCF: a real-time tracker for RGB-D data S Hannuna, M Camplani, J Hall, M Mirmehdi, D Damen, T Burghardt, ... Journal of Real-Time Image Processing 16 (5), 1439-1458, 2019 | 62 | 2019 |
| Cognitive learning, monitoring and assistance of industrial workflows using egocentric sensor networks G Bleser, D Damen, A Behera, G Hendeby, K Mura, M Miezal, A Gee, ... PloS one 10 (6), e0127769, 2015 | 50 | 2015 |
Majid MirmehdiProfessor of Computer Vision, University of BristolVerified email at bristol.ac.uk
