| 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 | 320 | 2018 |
| 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 | 90 | 2014 |
| 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 | 84 | 2012 |
| 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 | 67 | 2009 |
| 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 | 64 | 2015 |
| 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 | 63 | 2019 |
| 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 | 62 | 2015 |
| 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 | 56 | 2014 |
| 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 | 54 | 2016 |
| 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 | 49 | 2018 |
| Who's Better? Who's Best? Pairwise Deep Ranking for Skill Determination H Doughty, D Damen, W Mayol-Cuevas Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 49 | 2018 |
| 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 | 48 | 2019 |
| 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 | 47 | 2017 |
| 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 | 46* | 2016 |
| Detecting Carried Objects from Sequences of Walking Pedestrians D Damen, D Hogg Pattern Analysis and Machine Intelligence, IEEE Transactions on, 1-1, 2012 | 45 | 2012 |
| 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 | 40 | 2015 |
| Detecting carried objects in short video sequences D Damen, D Hogg European Conference on Computer Vision, 154-167, 2008 | 38 | 2008 |
| Egocentric real-time workspace monitoring using an rgb-d camera D Damen, A Gee, W Mayol-Cuevas, A Calway Intelligent Robots and Systems (IROS), 2012 IEEE/RSJ International …, 2012 | 36 | 2012 |
| You-Do, I-Learn: Egocentric unsupervised discovery of objects and their modes of interaction towards video-based guidance D Damen, T Leelasawassuk, W Mayol-Cuevas Computer Vision and Image Understanding 149, 98-112, 2016 | 31 | 2016 |
| 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 | 26 | 2019 |
Walterio Mayol-CuevasProfessor in Robotics, Computer Vision and Mobile SystemsVerified email at cs.bris.ac.uk
