| Contrastive test-time adaptation D Chen, D Wang, T Darrell, S Ebrahimi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 253 | 2022 |
| Multi-frame self-supervised depth with transformers V Guizilini, R Ambruș, D Chen, S Zakharov, A Gaidon Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 78 | 2022 |
| Standing between past and future: Spatio-temporal modeling for multi-camera 3d multi-object tracking Z Pang, J Li, P Tokmakov, D Chen, S Zagoruyko, YX Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 43 | 2023 |
| Towards zero-shot scale-aware monocular depth estimation V Guizilini, I Vasiljevic, D Chen, R Ambruș, A Gaidon Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 40 | 2023 |
| Minimax active learning S Ebrahimi, W Gan, D Chen, G Biamby, K Salahi, M Laielli, S Zhu, ... arXiv preprint arXiv:2012.10467, 2020 | 31 | 2020 |
| Viewpoint equivariance for multi-view 3d object detection D Chen, J Li, V Guizilini, RA Ambrus, A Gaidon Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 15 | 2023 |
| Depth is all you need for monocular 3d detection D Park, J Li, D Chen, V Guizilini, A Gaidon 2023 IEEE International Conference on Robotics and Automation (ICRA), 7024-7031, 2023 | 8 | 2023 |
| pix2gestalt: Amodal segmentation by synthesizing wholes E Ozguroglu, R Liu, D Surķs, D Chen, A Dave, P Tokmakov, C Vondrick 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2024 | 7 | 2024 |
| Fsd: Fast self-supervised single rgb-d to categorical 3d objects M Lunayach, S Zakharov, D Chen, R Ambrus, Z Kira, MZ Irshad 2024 IEEE International Conference on Robotics and Automation (ICRA), 14630 …, 2024 | 6 | 2024 |
| Region-level active learning for cluttered scenes M Laielli, G Biamby, D Chen, A Loeffler, PD Nguyen, R Luo, T Darrell, ... arXiv preprint arXiv:2108.09186, 2021 | 1 | 2021 |
| Systems and methods for target assignment for end-to-end three-dimensional (3d) detection D Park, J Li, D Chen, V Guizilini, AD Gaidon US Patent App. 18/159,670, 2024 | | 2024 |
| System and method for training a multi-view 3d object detection framework D Chen, RA Ambrus, J Li, AD Gaidon, VC Guizilini US Patent App. 18/140,208, 2024 | | 2024 |
| Producing a depth map from two-dimensional images V Guizilini, RA Ambrus, D Chen, AD Gaidon, S Zakharov US Patent App. 17/879,186, 2023 | | 2023 |
| Producing a depth map from a monocular two-dimensional image V Guizilini, RA Ambrus, D Chen, AD Gaidon, S Zakharov US Patent App. 17/879,307, 2023 | | 2023 |
Adrien GaidonAdjunct Professor, StanfordVerified email at stanford.edu
