| Weakly supervised action labeling in videos under ordering constraints P Bojanowski, R Lajugie, F Bach, I Laptev, J Ponce, C Schmid, J Sivic European Conference on Computer Vision, 628-643, 2014 | 179 | 2014 |
| Weakly-supervised alignment of video with text P Bojanowski, R Lajugie, E Grave, F Bach, I Laptev, J Ponce, C Schmid Proceedings of the IEEE international conference on computer vision, 4462-4470, 2015 | 111 | 2015 |
| Metric learning for temporal sequence alignment D Garreau, R Lajugie, S Arlot, F Bach arXiv preprint arXiv:1409.3136, 2014 | 53 | 2014 |
| Large-margin metric learning for constrained partitioning problems R Lajugie, F Bach, S Arlot International Conference on Machine Learning, 297-305, 2014 | 48 | 2014 |
| Instance-level video segmentation from object tracks G Seguin, P Bojanowski, R Lajugie, I Laptev Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 40 | 2016 |
| A weakly-supervised discriminative model for audio-to-score alignment R Lajugie, P Bojanowski, P Cuvillier, S Arlot, F Bach 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 9 | 2016 |
| Large-margin metric learning for partitioning problems R Lajugie, S Arlot, F Bach arXiv preprint arXiv:1303.1280, 2013 | 6 | 2013 |
| Théorèmes PAC-Bayésiens pour l'apprentissage multi-vues A Goyal, E Morvant, P Germain, MR Amini Conférence Francophone sur l'Apprentissage Automatique (CAp), 2016 | 1 | 2016 |
| Note sur la résolution de l’équation de degré 3 R Lajugie | | 2016 |
| Note sur l’histoire des nombres entiers négatifs. R Lajugie | | 2016 |
| Prédiction structurée pour l’analyse de données séquentielles R Lajugie Paris, Ecole normale supérieure, 2015 | | 2015 |
| Semidefinite and Spectral Relaxations for Multi-Label Classification R Lajugie, P Bojanowski, S Arlot, F Bach arXiv preprint arXiv:1506.01829, 2015 | | 2015 |
| Structured prediction for sequential data R Lajugie INRIA, Ecole normale Supérieure, 2015 | | 2015 |
| De la régression linéaire à l’intelligence artificielle R Lajugie | | |
| Enseignement de l’informatique: panorama du cycle 4 au post-bac R Lajugie | | |
| TP/TD 1: RÉGRESSIONS LINÉAIRES ET POLYNOMIALES R Lajugie | | |
| Metric learning for partitioning problems R Lajugie, F Bach, S Arlot | | |
Francis BachInria - Ecole Normale SupérieureAdresse e-mail validée de inria.fr
