Sparse and dense data with cnns: Depth completion and semantic segmentation M Jaritz, R De Charette, E Wirbel, X Perrotton, F Nashashibi 2018 International Conference on 3D Vision (3DV), 52-60, 2018 | 300 | 2018 |
End-to-end race driving with deep reinforcement learning M Jaritz, R De Charette, M Toromanoff, E Perot, F Nashashibi 2018 IEEE international conference on robotics and automation (ICRA), 2070-2075, 2018 | 208 | 2018 |
xmuda: Cross-modal unsupervised domain adaptation for 3d semantic segmentation M Jaritz, TH Vu, R Charette, E Wirbel, P Pérez Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 184 | 2020 |
Multi-view pointnet for 3d scene understanding M Jaritz, J Gu, H Su Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 179 | 2019 |
End-to-end driving in a realistic racing game with deep reinforcement learning E Perot, M Jaritz, M Toromanoff, R De Charette Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 95 | 2017 |
Cross-modal learning for domain adaptation in 3d semantic segmentation M Jaritz, TH Vu, R De Charette, É Wirbel, P Pérez IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (2), 1533-1544, 2022 | 40 | 2022 |
2D-3D scene understanding for autonomous driving M Jaritz Université Paris sciences et lettres, 2020 | 6 | 2020 |
3DV 2018 S Zakharov, B Planche, A Hutter, H Kosch, S Ilic, JJ Park, R Newcombe, ... | | |
Supplementary Material: xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation M Jaritz, TH Vu, R de Charette, E Wirbel, P Pérez | | |