| 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 | 1259 | 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 | 902 | 2015 |
| 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 | 438 | 2020 |
| R2D2: repeatable and reliable detector and descriptor J Revaud, P Weinzaepfel, C De Souza, N Pion, G Csurka, Y Cabon, ... arXiv preprint arXiv:1906.06195, 2019 | 427 | 2019 |
| 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 | 369 | 2015 |
| 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 | 351 | 2017 |
| 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 | 341 | 2017 |
| Deepmatching: Hierarchical deformable dense matching J Revaud, P Weinzaepfel, Z Harchaoui, C Schmid International Journal of Computer Vision 120, 300-323, 2016 | 323 | 2016 |
| 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 | 305 | 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 | 293 | 2019 |
| 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 | 280 | 2019 |
| Reconstructing an image from its local descriptors P Weinzaepfel, H Jégou, P Pérez CVPR 2011, 337-344, 2011 | 177 | 2011 |
| R2d2: Reliable and repeatable detector and descriptor J Revaud, C De Souza, M Humenberger, P Weinzaepfel Advances in neural information processing systems 32, 2019 | 170 | 2019 |
| Human action localization with sparse spatial supervision P Weinzaepfel, X Martin, C Schmid arXiv preprint arXiv:1605.05197, 2016 | 101* | 2016 |
| Learning to detect motion boundaries P Weinzaepfel, J Revaud, Z Harchaoui, C Schmid Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 76 | 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 | 71 | 2017 |
| Superloss: A generic loss for robust curriculum learning T Castells, P Weinzaepfel, J Revaud Advances in Neural Information Processing Systems 33, 4308-4319, 2020 | 52 | 2020 |
| Mimetics: Towards understanding human actions out of context P Weinzaepfel, G Rogez International Journal of Computer Vision 129 (5), 1675-1690, 2021 | 51 | 2021 |
| 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 | 46 | 2019 |
| 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 | 43 | 2020 |
Cordelia SchmidResearch director INRIA Verified email at inria.fr
