| Wildcat: Weakly supervised learning of deep convnets for image classification, pointwise localization and segmentation T Durand, T Mordan, N Thome, M Cord Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 415 | 2017 |
| Ttt++: When does self-supervised test-time training fail or thrive? Y Liu, P Kothari, B Van Delft, B Bellot-Gurlet, T Mordan, A Alahi Advances in Neural Information Processing Systems 34, 21808-21820, 2021 | 304 | 2021 |
| Pedestrian intention prediction: A convolutional bottom-up multi-task approach H Razali, T Mordan, A Alahi Transportation research part C: emerging technologies 130, 103259, 2021 | 78 | 2021 |
| Revisiting multi-task learning with rock: a deep residual auxiliary block for visual detection T Mordan, N Thome, G Henaff, M Cord Advances in neural information processing systems 31, 2018 | 71 | 2018 |
| End-to-end learning of latent deformable part-based representations for object detection T Mordan, N Thome, G Henaff, M Cord International Journal of Computer Vision 127, 1659-1679, 2019 | 47 | 2019 |
| A generic diffusion-based approach for 3d human pose prediction in the wild S Saadatnejad, A Rasekh, M Mofayezi, Y Medghalchi, S Rajabzadeh, ... 2023 IEEE International Conference on Robotics and Automation (ICRA), 8246-8253, 2023 | 40 | 2023 |
| Detecting 32 pedestrian attributes for autonomous vehicles T Mordan, M Cord, P Pérez, A Alahi IEEE transactions on intelligent transportation systems 23 (8), 11823-11835, 2021 | 38 | 2021 |
| Learning decoupled representations for human pose forecasting B Parsaeifard, S Saadatnejad, Y Liu, T Mordan, A Alahi Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 29 | 2021 |
| Deformable part-based fully convolutional network for object detection T Mordan, N Thome, M Cord, G Henaff arXiv preprint arXiv:1707.06175, 2017 | 23 | 2017 |
| Do pedestrians pay attention? eye contact detection in the wild Y Belkada, L Bertoni, R Caristan, T Mordan, A Alahi arXiv preprint arXiv:2112.04212, 2021 | 19 | 2021 |
| Monstereo: When monocular and stereo meet at the tail of 3d human localization L Bertoni, S Kreiss, T Mordan, A Alahi 2021 IEEE International Conference on Robotics and Automation (ICRA), 5126-5132, 2021 | 11 | 2021 |
| A shared representation for photorealistic driving simulators S Saadatnejad, S Li, T Mordan, A Alahi arXiv preprint arXiv:2112.05134, 2021 | 9 | 2021 |
| Pedestrian stop and go forecasting with hybrid feature fusion D Guo, T Mordan, A Alahi 2022 International Conference on Robotics and Automation (ICRA), 940-947, 2022 | 7 | 2022 |
| Toward reliable human pose forecasting with uncertainty S Saadatnejad, M Mirmohammadi, M Daghyani, P Saremi, YZ Benisi, ... IEEE Robotics and Automation Letters, 2024 | 6 | 2024 |
| Simple yet effective action recognition for autonomous driving W Xiong, L Bertoni, T Mordan, A Alahi 11th Triennial Symposium on Transportation Analysis Conference (TRISTAN XI), 2022 | 4 | 2022 |
| CrossFeat: Semantic Cross-modal Attention for Pedestrian Behavior Forecasting F Marchetti, T Mordan, F Becattini, L Seidenari, A Del Bimbo, A Alahi IEEE Transactions on Intelligent Vehicles, 2024 | 1 | 2024 |
| 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 |
| Visualisation des réseaux de neurones T Robert, T Mordan, R Cadene, M Cord | | 2018 |
| Transfer Learning par extraction de features dans un CNN T Robert, T Mordan, R Cadene, M Cord | | 2018 |
| Conception d'architectures profondes pour l'interprétation de données visuelles T Mordan Sorbonne Université, 2018 | | 2018 |
Alexandre AlahiProfessor, EPFLVerified email at epfl.ch