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Philippe Weinzaepfel
Philippe Weinzaepfel
Research Scientist, Naver Labs Europe
Adresse e-mail validée de naverlabs.com - Page d'accueil
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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
12742013
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
9102015
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
4662020
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
4462019
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
3722015
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
3572017
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
3452017
Deepmatching: Hierarchical deformable dense matching
J Revaud, P Weinzaepfel, Z Harchaoui, C Schmid
International Journal of Computer Vision 120, 300-323, 2016
3262016
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
3152018
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
3032019
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
2872019
R2d2: Reliable and repeatable detector and descriptor
J Revaud, C De Souza, M Humenberger, P Weinzaepfel
Advances in neural information processing systems 32, 2019
1882019
Reconstructing an image from its local descriptors
P Weinzaepfel, H Jégou, P Pérez
CVPR 2011, 337-344, 2011
1772011
Human action localization with sparse spatial supervision
P Weinzaepfel, X Martin, C Schmid
arXiv preprint arXiv:1605.05197, 2016
103*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
762015
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
722017
Superloss: A generic loss for robust curriculum learning
T Castells, P Weinzaepfel, J Revaud
Advances in Neural Information Processing Systems 33, 4308-4319, 2020
622020
Mimetics: Towards understanding human actions out of context
P Weinzaepfel, G Rogez
International Journal of Computer Vision 129 (5), 1675-1690, 2021
562021
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
472020
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
462019
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