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 | 398 | 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 | 199 | 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 | 67 | 2018 |
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 | 55 | 2021 |
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 | 42 | 2019 |
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 | 27 | 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 | 25 | 2021 |
Deformable part-based fully convolutional network for object detection T Mordan, N Thome, M Cord, G Henaff arXiv preprint arXiv:1707.06175, 2017 | 24 | 2017 |
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 | 22 | 2023 |
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 | 17 | 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 | 10 | 2021 |
A shared representation for photorealistic driving simulators S Saadatnejad, S Li, T Mordan, A Alahi arXiv preprint arXiv:2112.05134, 2021 | 7 | 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 | 4 | 2022 |
Toward reliable human pose forecasting with uncertainty S Saadatnejad, M Mirmohammadi, M Daghyani, P Saremi, YZ Benisi, ... IEEE Robotics and Automation Letters, 2024 | 1 | 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 | 1 | 2022 |
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 |
Designing Deep Architectures for Visual Understanding T Mordan EDITE, 2018 | | 2018 |