| Image-to-lidar self-supervised distillation for autonomous driving data C Sautier, G Puy, S Gidaris, A Boulch, A Bursuc, R Marlet Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 91 | 2022 |
| ALSO: Automotive lidar self-supervision by occupancy estimation A Boulch, C Sautier, B Michele, G Puy, R Marlet Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 45 | 2023 |
| Bevcontrast: Self-supervision in bev space for automotive lidar point clouds C Sautier, G Puy, A Boulch, R Marlet, V Lepetit 2024 International Conference on 3D Vision (3DV), 559-568, 2024 | 8 | 2024 |
| Three pillars improving vision foundation model distillation for lidar G Puy, S Gidaris, A Boulch, O Siméoni, C Sautier, P Pérez, A Bursuc, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 6 | 2024 |
| State Prediction in TextWorld with a Predicate-Logic Pointer Network Architecture C Sautier, DJ Agravante, M Tatsubori In Workshop on Knowledge-based Reinforcment Learning at IJCAI-20, 2020 | 4 | 2020 |
| Revisiting the Distillation of Image Representations into Point Clouds for Autonomous Driving G Puy, S Gidaris, A Boulch, O Siméoni, C Sautier, P Pérez, A Bursuc, ... arXiv preprint arXiv:2310.17504, 2023 | 1 | 2023 |
| Learning of operator for planning problem CJA Sautier, DJR Agravante, M Tatsubori US Patent App. 17/210,891, 2022 | 1 | 2022 |
| Training a semantic parser using action templates CJA Sautier, DJR Agravante, M Tatsubori US Patent App. 17/124,945, 2022 | 1 | 2022 |
| ALSO: Automotive Lidar Self-supervision by Occupancy estimation–Supplementary material– A Boulch, C Sautier, B Michele, G Puy, R Marlet | | |
| Towards Logical Model-based Reinforcement Learning: Lifted Operator Models C Sautier, DJ Agravante, M Tatsubori | | |
