| Scaling egocentric vision: The epic-kitchens dataset D Damen, H Doughty, GM Farinella, S Fidler, A Furnari, E Kazakos, ... Proceedings of the European conference on computer vision (ECCV), 720-736, 2018 | 1234 | 2018 |
| 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 130 (1), 33-55, 2022 | 659* | 2022 |
| The epic-kitchens dataset: Collection, challenges and baselines D Damen, H Doughty, GM Farinella, S Fidler, A Furnari, E Kazakos, ... IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (11), 4125 …, 2020 | 262 | 2020 |
| Action recognition from single timestamp supervision in untrimmed videos D Moltisanti, S Fidler, D Damen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 85 | 2019 |
| Trespassing the boundaries: Labeling temporal bounds for object interactions in egocentric video D Moltisanti, M Wray, W Mayol-Cuevas, D Damen Proceedings of the IEEE International Conference on Computer Vision, 2886-2894, 2017 | 37 | 2017 |
| Sembed: Semantic embedding of egocentric action videos M Wray, D Moltisanti, W Mayol-Cuevas, D Damen Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016 | 18 | 2016 |
| 3-D monitoring of rubble mound breakwater damages RE Musumeci, D Moltisanti, E Foti, S Battiato, GM Farinella Measurement 117, 347-364, 2018 | 17 | 2018 |
| Learning action changes by measuring verb-adverb textual relationships D Moltisanti, F Keller, H Bilen, L Sevilla-Lara Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 8 | 2023 |
| BRACE: The breakdancing competition dataset for dance motion synthesis D Moltisanti, J Wu, B Dai, CC Loy European Conference on Computer Vision, 329-344, 2022 | 6 | 2022 |
| Towards an unequivocal representation of actions M Wray, D Moltisanti, D Damen Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 3 | 2018 |
| Improving classification by improving labelling: Introducing probabilistic multi-label object interaction recognition M Wray, D Moltisanti, W Mayol-Cuevas, D Damen arXiv preprint arXiv:1703.08338, 2017 | 2 | 2017 |
| Monitoring Accropodes Breakwaters Using RGB-D Cameras D Moltisanti, GM Farinella, RE Musumeci, E Foti, S Battiato International Conference on Computer Vision Theory and Applications 2, 76-83, 2015 | 1 | 2015 |
| Efficient Pre-training for Localized Instruction Generation of Procedural Videos A Batra, D Moltisanti, L Sevilla-Lara, M Rohrbach, F Keller European Conference on Computer Vision, 347-363, 2025 | | 2025 |
| Continual Learning Improves Zero-Shot Action Recognition SN Gowda, D Moltisanti, L Sevilla-Lara arXiv preprint arXiv:2410.10497, 2024 | | 2024 |
| Coarse or Fine? Recognising Action End States without Labels D Moltisanti, H Bilen, L Sevilla-Lara, F Keller Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| An Action Is Worth Multiple Words: Handling Ambiguity in Action Recognition K Kim, D Moltisanti, O Mac Aodha, L Sevilla-Lara The British Machine Vision Conference, 2022 | | 2022 |
| Temporal Labelling for Action Recognition in Videos D Moltisanti University of Bristol, 2019 | | 2019 |
| Web Scraping of online newspapers via Image Matching D Moltisanti, GM Farinella, S Battiato, G Giuffrida Progress in Industrial Mathematics at ECMI 2014 18, 17-24, 2016 | | 2016 |
Dima DamenProfessor, University of Bristol and Google DeepMindVerified email at bristol.ac.uk
