| Efficient gan-based anomaly detection H Zenati, CS Foo, B Lecouat, G Manek, VR Chandrasekhar arXiv preprint arXiv:1802.06222, 2018 | 904 | 2018 |
| Adversarially Learned Anomaly Detection H Zenati, M Romain, CS Foo, B Lecouat, V Chandrasekhar IEEE International Conference on Data Mining (ICDM), 727-736, 2018 | 529 | 2018 |
| Optimistic mirror descent in saddle-point problems: Going the extra (-gradient) mile P Mertikopoulos, B Lecouat, H Zenati, CS Foo, V Chandrasekhar, ... International Conference on Learning Representations (ICLR), 2018 | 380 | 2018 |
| Fully Trainable and Interpretable Non-Local Sparse Models for Image Restoration B Lecouat, J Ponce, J Mairal European Conference on Computer Vision (ECCV), 2020 | 53 | 2020 |
| Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images B Lecouat, K Chang, CS Foo, B Unnikrishnan, JM Brown, H Zenati, ... Advances in Neural Information Processing Systems (NeurIPS) Workshop on …, 2018 | 46 | 2018 |
| NTIRE 2021 challenge on burst super-resolution: Methods and results G Bhat, M Danelljan, R Timofte, K Akita, W Cho, H Fan, L Jia, D Kim, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 43 | 2021 |
| Lucas-Kanade Reloaded: End-to-End Super-Resolution from Raw Image Bursts B Lecouat, J Ponce, J Mairal Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 40 | 2021 |
| Semi-supervised learning with gans: Revisiting manifold regularization B Lecouat, CS Foo, H Zenati, VR Chandrasekhar International Conference on Learning Representations (ICLR) Workshop Track, 2018 | 36 | 2018 |
| High dynamic range and super-resolution from raw image bursts B Lecouat, T Eboli, J Ponce, J Mairal ACM Transactions on Graphics (TOG) 41 (4), 1-21, 2022 | 27 | 2022 |
| A Flexible Framework for Designing Trainable Priors with Adaptive Smoothing and Game Encoding B Lecouat, J Ponce, J Mairal Advances in Neural Information Processing Systems (NeurIPS) 33, 2020 | 24* | 2020 |
| Manifold regularization with GANs for semi-supervised learning B Lecouat, CS Foo, H Zenati, V Chandrasekhar arXiv preprint arXiv:1807.04307, 2018 | 21 | 2018 |
| Fine Dense Alignment of Image Bursts through Camera Pose and Depth Estimation B Lecouat, YD de Mont-Marin, T Bodrito, J Mairal, J Ponce arXiv preprint arXiv:2312.05190, 2023 | | 2023 |
| Image Reconstruction from Multiple Shots with Trainable Algorithms B Lecouat INRIA Paris; Ecole Normale Supérieure (ENS), 2023 | | 2023 |
| Mixed Membership Generative Adversarial Networks Y Yazici, B Lecouat, KH Yap, S Winkler, G Piliouras, V Chandrasekhar, ... 2022 IEEE International Conference on Image Processing (ICIP), 1026-1030, 2022 | | 2022 |
Vijay ChandrasekharIEEE Senior Member, R&DZweryfikowany adres z alumni.stanford.edu