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 | 1011 | 2018 |
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 | 568 | 2022 |
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, 2022 | 526* | 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 | 201 | 2020 |
Fine-grained action retrieval through multiple parts-of-speech embeddings M Wray, D Larlus, G Csurka, D Damen Proceedings of the IEEE/CVF international conference on computer vision, 450-459, 2019 | 152 | 2019 |
Egocentric Video-Language Pretraining KQ Lin, AJ Wang, M Soldan, M Wray, R Yan, EZ Xu, D Gao, R Tu, W Zhao, ... arXiv preprint arXiv:2206.01670, 2022 | 104 | 2022 |
On semantic similarity in video retrieval M Wray, H Doughty, D Damen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 61 | 2021 |
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 | 38 | 2017 |
Ego-exo4d: Understanding skilled human activity from first-and third-person perspectives K Grauman, A Westbury, L Torresani, K Kitani, J Malik, T Afouras, ... arXiv preprint arXiv:2311.18259, 2023 | 18 | 2023 |
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 |
Learning visual actions using multiple verb-only labels M Wray, D Damen arXiv preprint arXiv:1907.11117, 2019 | 13* | 2019 |
Epic-kitchens-100-2021 challenges report D Damen, A Fragomeni, J Munro, T Perrett, D Whettam, M Wray, A Furnari, ... Informe técnico, University of Bristol, 2021 | 11 | 2021 |
Domain adaptation in multi-view embedding for cross-modal video retrieval J Munro, M Wray, D Larlus, G Csurka, D Damen arXiv preprint arXiv:2110.12812, 2021 | 7 | 2021 |
The cage: Towards a 6-dof remote control with force feedback for uav interaction C Anderson, B Barash, C McNeill, D Ogun, M Wray, J Knibbe, CH Morris, ... Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human …, 2015 | 6 | 2015 |
Genhowto: Learning to generate actions and state transformations from instructional videos T Souček, D Damen, M Wray, I Laptev, J Sivic arXiv preprint arXiv:2312.07322, 2023 | 2 | 2023 |
Learning Temporal Sentence Grounding From Narrated EgoVideos K Flanagan, D Damen, M Wray arXiv preprint arXiv:2310.17395, 2023 | 2 | 2023 |
Supervision levels scale (sls) D Damen, M Wray arXiv preprint arXiv:2008.09890, 2020 | 2 | 2020 |
Traffic data as proxy of business downtime after natural disasters: the case of kathmandu F De Luca, D Damen, J Kurton, M Wray, R Pokhrel, M Werner 11th National Conference on Earthquake Engineering 2018 (11NCEE …, 2018 | 2 | 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 |
ConTra:(Con) text (Tra) nsformer for Cross-Modal Video Retrieval A Fragomeni, M Wray, D Damen Proceedings of the Asian Conference on Computer Vision, 3481-3499, 2022 | 1 | 2022 |