Contrastive test-time adaptation D Chen, D Wang, T Darrell, S Ebrahimi
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
322 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
100 2022 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
67 2023 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
52 2023 Minimax active learning S Ebrahimi, W Gan, D Chen, G Biamby, K Salahi, M Laielli, S Zhu, ...
arXiv preprint arXiv:2012.10467, 2020
32 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
21 2023 pix2gestalt: Amodal segmentation by synthesizing wholes E Ozguroglu, R Liu, D Surís, D Chen, A Dave, P Tokmakov, C Vondrick
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2024
19 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
9 2024 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
9 2023 Y Xu, D Chen, K Liu, S Zakharov, R Ambruș, K Daniilidis, V Guizilini
Advances in Neural Information Processing Systems 37, 13627-13659, 2024
1 2024 Region-level active learning for cluttered scenes M Laielli, G Biamby, D Chen, A Loeffler, PD Nguyen, R Luo, T Darrell, ...
CoRR, 2021
1 2021 Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion V Guizilini, MZ Irshad, D Chen, G Shakhnarovich, R Ambrus
arXiv preprint arXiv:2501.18804, 2025
2025 Systems and methods for estimating scaled maps by sampling representations from a learning model VC Guizilini, I Vasiljevic, D Chen, AD Gaidon, RA Ambrus
US Patent App. 18/486,619, 2024
2024 Systems and methods for augmenting image embeddings using derived geometric embeddings VC Guizilini, I Vasiljevic, D Chen, AD Gaidon, RA Ambrus
US Patent App. 18/465,381, 2024
2024 Systems and methods for augmenting images during training of a depth model VC Guizilini, I Vasiljevic, D Chen, AD Gaidon, RA Ambrus
US Patent App. 18/512,938, 2024
2024 Trajectory prediction by sampling sequences of discrete motion tokens A Seff, R Al-Rfou, AB Cera, N Nayakanti, AQ Zhou, M Ng, B Sapp, D Chen, ...
US Patent App. 18/600,159, 2024
2024 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 
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