| 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 | 702 | 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 | 525 | 2015 |
| 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 | 205 | 2015 |
| Deepmatching: Hierarchical deformable dense matching J Revaud, P Weinzaepfel, Z Harchaoui, C Schmid International Journal of Computer Vision 120 (3), 300-323, 2016 | 172 | 2016 |
| Reconstructing an image from its local descriptors P Weinzaepfel, H Jégou, P Pérez CVPR 2011, 337-344, 2011 | 115 | 2011 |
| 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 | 113 | 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 | 110 | 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 | 58 | 2018 |
| Learning to detect motion boundaries P Weinzaepfel, J Revaud, Z Harchaoui, C Schmid Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 52 | 2015 |
| 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, 2019 | 41 | 2019 |
| Human action localization with sparse spatial supervision P Weinzaepfel, X Martin, C Schmid arXiv preprint arXiv:1605.05197, 2016 | 35* | 2016 |
| 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 | 29 | 2017 |
| 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 | 6 | 2019 |
| 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 | 4 | 2019 |
| Visual Localization by Learning Objects-Of-Interest Dense Match Regression P Weinzaepfel, G Csurka, Y Cabon, M Humenberger Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 1 | 2019 |
| Motion in action: optical flow estimation and action localization in videos P Weinzaepfel | 1 | 2016 |
| System and method for training a convolutional neural network and classifying an action performed by a subject in a video using the trained convolutional neural network V Choutas, P Weinzaepfel, J Revaud, C Schmid US Patent App. 16/359,182, 2019 | | 2019 |
| R2D2: Reliable and Repeatable Detector and Descriptor J Revaud, C De Souza, M Humenberger, P Weinzaepfel Advances in Neural Information Processing Systems, 12405-12415, 2019 | | 2019 |
Cordelia SchmidResearch director INRIA Adresse e-mail validée de inria.fr
