DeepFlow: Large displacement optical flow with deep matching P Weinzaepfel, J Revaud, Z Harchaoui, C Schmid Proceedings of the IEEE international conference on computer vision, 1385-1392, 2013 | 1322 | 2013 |
Epicflow: Edge-preserving interpolation of correspondences for optical flow J Revaud, P Weinzaepfel, Z Harchaoui, C Schmid Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 940 | 2015 |
R2d2: Reliable and repeatable detector and descriptor J Revaud, C De Souza, M Humenberger, P Weinzaepfel Advances in neural information processing systems 32, 2019 | 786 | 2019 |
Hard negative mixing for contrastive learning Y Kalantidis, MB Sariyildiz, N Pion, P Weinzaepfel, D Larlus Advances in neural information processing systems 33, 21798-21809, 2020 | 604 | 2020 |
Action tubelet detector for spatio-temporal action localization V Kalogeiton, P Weinzaepfel, V Ferrari, C Schmid Proceedings of the IEEE international conference on computer vision, 4405-4413, 2017 | 398 | 2017 |
Learning to track for spatio-temporal action localization P Weinzaepfel, Z Harchaoui, C Schmid Proceedings of the IEEE international conference on computer vision, 3164-3172, 2015 | 392 | 2015 |
Lcr-net: Localization-classification-regression for human pose G Rogez, P Weinzaepfel, C Schmid Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 366 | 2017 |
Potion: Pose motion representation for action recognition V Choutas, P Weinzaepfel, J Revaud, C Schmid Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 348 | 2018 |
Lcr-net++: Multi-person 2d and 3d pose detection in natural images G Rogez, P Weinzaepfel, C Schmid IEEE transactions on pattern analysis and machine intelligence 42 (5), 1146-1161, 2019 | 347 | 2019 |
Deepmatching: Hierarchical deformable dense matching J Revaud, P Weinzaepfel, Z Harchaoui, C Schmid International Journal of Computer Vision 120, 300-323, 2016 | 327 | 2016 |
MARS: Motion-Augmented RGB Stream for Action Recognition N Crasto, P Weinzaepfel, K Alahari, C Schmid Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019 | 317 | 2019 |
Reconstructing an image from its local descriptors P Weinzaepfel, H Jégou, P Pérez CVPR 2011, 337-344, 2011 | 188 | 2011 |
Human action localization with sparse spatial supervision P Weinzaepfel, X Martin, C Schmid arXiv preprint arXiv:1605.05197, 2016 | 110* | 2016 |
Superloss: A generic loss for robust curriculum learning T Castells, P Weinzaepfel, J Revaud Advances in Neural Information Processing Systems 33, 4308-4319, 2020 | 85 | 2020 |
Learning to detect motion boundaries P Weinzaepfel, J Revaud, Z Harchaoui, C Schmid Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 81 | 2015 |
Joint learning of object and action detectors V Kalogeiton, P Weinzaepfel, V Ferrari, C Schmid Proceedings of the IEEE international conference on computer vision, 4163-4172, 2017 | 75 | 2017 |
Mimetics: Towards understanding human actions out of context P Weinzaepfel, G Rogez International Journal of Computer Vision 129 (5), 1675-1690, 2021 | 70 | 2021 |
Dope: Distillation of part experts for whole-body 3d pose estimation in the wild P Weinzaepfel, R Brégier, H Combaluzier, V Leroy, G Rogez Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 52 | 2020 |
Visual localization by learning objects-of-interest dense match regression P Weinzaepfel, G Csurka, Y Cabon, M Humenberger Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 51 | 2019 |
Posegpt: Quantization-based 3d human motion generation and forecasting T Lucas, F Baradel, P Weinzaepfel, G Rogez European Conference on Computer Vision, 417-435, 2022 | 49 | 2022 |