| Learning and transferring mid-level image representations using convolutional neural networks M Oquab, L Bottou, I Laptev, J Sivic Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 3361 | 2014 |
| Is object localization for free?-weakly-supervised learning with convolutional neural networks M Oquab, L Bottou, I Laptev, J Sivic Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 936 | 2015 |
| Contextlocnet: Context-aware deep network models for weakly supervised localization V Kantorov, M Oquab, M Cho, I Laptev European Conference on Computer Vision, 350-365, 2016 | 271 | 2016 |
| Revisiting classifier two-sample tests D Lopez-Paz, M Oquab arXiv preprint arXiv:1610.06545, 2016 | 239 | 2016 |
| Geometrical insights for implicit generative modeling L Bottou, M Arjovsky, D Lopez-Paz, M Oquab Braverman Readings in Machine Learning. Key Ideas from Inception to Current …, 2018 | 24 | 2018 |
| Learning about an exponential amount of conditional distributions M Belghazi, M Oquab, D Lopez-Paz Advances in Neural Information Processing Systems 32, 2019 | 21 | 2019 |
| Geometrical insights for implicit generative modeling L Bottou, M Arjovsky, D Lopez-Paz, M Oquab arXiv preprint arXiv:1712.07822, 2017 | 12 | 2017 |
| Can RNNs learn Recursive Nested Subject-Verb Agreements? Y Lakretz, T Desbordes, JR King, B Crabbé, M Oquab, S Dehaene arXiv preprint arXiv:2101.02258, 2021 | 8 | 2021 |
| Low bandwidth video-chat compression using deep generative models M Oquab, P Stock, D Haziza, T Xu, P Zhang, O Celebi, Y Hasson, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 8 | 2021 |
| Back-to-back regression: Disentangling the influence of correlated factors from multivariate observations JR King, F Charton, D Lopez-Paz, M Oquab NeuroImage 220, 117028, 2020 | 6 | 2020 |
| Discriminating the influence of correlated factors from multivariate observations: the back-to-back regression JR King, F Charton, D Lopez-Paz, M Oquab bioRxiv, 2020 | 2 | 2020 |
| Self-appearance-aided Differential Evolution for Motion Transfer P Liu, R Wang, X Cao, Y Zhou, A Shah, M Oquab, C Couprie, SN Lim arXiv preprint arXiv:2110.04658, 2021 | 1 | 2021 |
| Efficient conditioned face animation using frontally-viewed embedding M Oquab, D Haziza, L Schwartz, T Xu, K Zand, R Wang, P Liu, C Couprie arXiv preprint arXiv:2203.08765, 2022 | | 2022 |
| Measuring causal influence with back-to-back regression: the linear case JR King, F Charton, M Oquab, D Lopez-Paz | | 2019 |
| Learning about an exponential amount of conditional distributions M Ishmael Belghazi, M Oquab, Y LeCun, D Lopez-Paz arXiv e-prints, arXiv: 1902.08401, 2019 | | 2019 |
| Convolutional neural networks: towards less supervision for visual recognition M Oquab Université Paris sciences et lettres, 2018 | | 2018 |
