| Esl: Entropy-guided self-supervised learning for domain adaptation in semantic segmentation A Saporta, TH Vu, M Cord, P Pérez CVPR'20 Workshop on Scalability in Autonomous Driving, 2020 | 56 | 2020 |
| Confidence estimation via auxiliary models C Corbiere, N Thome, A Saporta, TH Vu, M Cord, P Perez IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (10), 6043 …, 2021 | 55 | 2021 |
| Multi-target adversarial frameworks for domain adaptation in semantic segmentation A Saporta, TH Vu, M Cord, P Pérez Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 40 | 2021 |
| Multi-head distillation for continual unsupervised domain adaptation in semantic segmentation A Saporta, A Douillard, TH Vu, P Pérez, M Cord Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 22 | 2022 |
| Delving deep into interpreting neural nets with piece-wise affine representation Y Chen, A Saporta, A Dapogny, M Cord 2019 IEEE International Conference on Image Processing (ICIP), 609-613, 2019 | 5 | 2019 |
| Reve: Regularizing deep learning with variational entropy bound A Saporta, Y Chen, M Blot, M Cord 2019 IEEE International Conference on Image Processing (ICIP), 1610-1614, 2019 | 2 | 2019 |
| Bilinear Multimodal Discriminator for Adversarial Domain Adaptation with Privileged Information T Mordan, A Saporta, A Alahi, M Cord, P Pérez Proceedings of the 9th Symposium of the European Association for Research in …, 2020 | 1 | 2020 |
| Domain Adaptation for Urban Scene Segmentation A Saporta Sorbonne Université, 2022 | | 2022 |
| Visualisation des réseaux de neurones C Dancette, A Saporta, M Cord | | |
| Transfer Learning par extraction de features dans un CNN C Dancette, A Saporta, M Cord | | |