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 | 1132 | 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 | 816 | 2015 |
Deep image retrieval: Learning global representations for image search A Gordo, J Almazán, J Revaud, D Larlus European conference on computer vision, 241-257, 2016 | 765 | 2016 |
End-to-end learning of deep visual representations for image retrieval A Gordo, J Almazan, J Revaud, D Larlus International Journal of Computer Vision 124 (2), 237-254, 2017 | 468 | 2017 |
Deepmatching: Hierarchical deformable dense matching J Revaud, P Weinzaepfel, Z Harchaoui, C Schmid International Journal of Computer Vision 120 (3), 300-323, 2016 | 279 | 2016 |
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 | 233 | 2019 |
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 | 221 | 2018 |
Spatio-temporal object detection proposals D Oneata, J Revaud, J Verbeek, C Schmid European conference on computer vision, 737-752, 2014 | 218 | 2014 |
Learning with average precision: Training image retrieval with a listwise loss J Revaud, J Almazán, RS Rezende, CR Souza Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 200 | 2019 |
Event retrieval in large video collections with circulant temporal encoding J Revaud, M Douze, C Schmid, H Jégou Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 139 | 2013 |
Transformation pursuit for image classification M Paulin, J Revaud, Z Harchaoui, F Perronnin, C Schmid Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 121 | 2014 |
Improving Zernike moments comparison for optimal similarity and rotation angle retrieval J Revaud, G Lavoué, A Baskurt IEEE transactions on pattern analysis and machine intelligence 31 (4), 627-636, 2008 | 113 | 2008 |
R2d2: Reliable and repeatable detector and descriptor J Revaud, C De Souza, M Humenberger, P Weinzaepfel Advances in neural information processing systems 32, 2019 | 80 | 2019 |
Correlation-based burstiness for logo retrieval J Revaud, M Douze, C Schmid Proceedings of the 20th ACM international conference on Multimedia, 965-968, 2012 | 77 | 2012 |
Learning to detect motion boundaries P Weinzaepfel, J Revaud, Z Harchaoui, C Schmid Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 71 | 2015 |
The AXES submissions at TrecVid 2013 R Aly, R Arandjelovic, K Chatfield, M Douze, B Fernando, Z Harchaoui, ... | 36 | 2013 |
Stable hyper-pooling and query expansion for event detection M Douze, J Revaud, C Schmid, H Jégou Proceedings of the IEEE International Conference on Computer Vision, 1825-1832, 2013 | 35 | 2013 |
Circulant temporal encoding for video retrieval and temporal alignment M Douze, J Revaud, J Verbeek, H Jégou, C Schmid International Journal of Computer Vision 119 (3), 291-306, 2016 | 30 | 2016 |
Robust image retrieval-based visual localization using kapture M Humenberger, Y Cabon, N Guerin, J Morat, J Revaud, P Rerole, N Pion, ... arXiv preprint arXiv:2007.13867, 2020 | 23 | 2020 |
Axes at trecvid 2012: Kis, ins, and med D Oneata, M Douze, J Revaud, S Jochen, D Potapov, H Wang, ... TRECVID workshop, 2012 | 23 | 2012 |