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Dian Chen
Dian Chen
Toyota Research Institute
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Title
Cited by
Cited by
Year
Contrastive test-time adaptation
D Chen, D Wang, T Darrell, S Ebrahimi
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
2062022
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
612022
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
342023
Minimax active learning
S Ebrahimi, W Gan, D Chen, G Biamby, K Salahi, M Laielli, S Zhu, ...
arXiv preprint arXiv:2012.10467, 2020
302020
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
222023
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
102023
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
62023
Fsd: Fast self-supervised single rgb-d to categorical 3d objects
M Lunayach, S Zakharov, D Chen, R Ambrus, Z Kira, MZ Irshad
arXiv preprint arXiv:2310.12974, 2023
42023
pix2gestalt: Amodal Segmentation by Synthesizing Wholes
E Ozguroglu, R Liu, D Surís, D Chen, A Dave, P Tokmakov, C Vondrick
arXiv preprint arXiv:2401.14398, 2024
32024
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
12021
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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