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Yanchao Yang
Yanchao Yang
Assistant Professor, HKU; Stanford University; UCLA
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
FDA: Fourier Domain Adaptation for Semantic Segmentation
Y Yang, S Soatto
Conference on Computer Vision and Pattern Recognition (CVPR), 2020, 2020
7972020
Unsupervised Moving Object Detection via Contextual Information Separation
Y Yang, A Loquercio, D Scaramuzza, S Soatto
Conference on Computer Vision and Pattern Recognition (CVPR) 2019, 2019
1462019
Dense Depth Posterior (DDP) from Single Image and Sparse Range
Y Yang, A Wong, S Soatto
Conference on Computer Vision and Pattern Recognition (CVPR) 2019, 2019
1272019
Phase Consistent Ecological Domain Adaptation
Y Yang, D Lao, G Sundaramoorthi, S Soatto
Conference on Computer Vision and Pattern Recognition (CVPR), 2020, 2020
1182020
DyStaB: Unsupervised Object Segmentation via Dynamic-Static Bootstrapping
Y Yang, B Lai, S Soatto
Conference on Computer Vision and Pattern Recognition (CVPR), 2021, 2021
562021
Intraocular robotic interventional surgical system (IRISS): semi‐automated OCT‐guided cataract removal
CW Chen, YH Lee, MJ Gerber, H Cheng, YC Yang, A Govetto, ...
The International Journal of Medical Robotics and Computer Assisted Surgery …, 2018
492018
Conditional Prior Networks for Optical Flow
Y Yang, S Soatto
European Conference on Computer Vision(ECCV) 2018, 282--298, 2018
422018
Self-occlusions and disocclusions in causal video object segmentation
Y Yang, G Sundaramoorthi, S Soatto
Proceedings of the IEEE International Conference on Computer Vision, 4408-4416, 2015
422015
GIMO: Gaze-Informed Human Motion Prediction in Context
Y Zheng, Y Yang*, K Mo, J Li, T Yu, Y Liu, K Liu, LJ Guibas
ECCV 2022, arXiv preprint arXiv:2204.09443, 2022
402022
Learning Semantic-Aware Dynamics for Video Prediction
X Bei, Y Yang, S Soatto
Conference on Computer Vision and Pattern Recognition (CVPR), 2021, 2021
372021
Learning to Manipulate Individual Objects in an Image
Y Yang, Y Chen, S Soatto
Conference on Computer Vision and Pattern Recognition (CVPR), 2020, 2020
342020
Domain Adaptation on Point Clouds via Geometry-Aware Implicits
Y Shen, Y Yang, M Yan, H Wang, Y Zheng, L Guibas
CVPR 2022, 2021
322021
Shape tracking with occlusions via coarse-to-fine region-based sobolev descent
Y Yang, G Sundaramoorthi
IEEE transactions on pattern analysis and machine intelligence 37 (5), 1053-1066, 2014
322014
S2F: Slow-to-fast interpolator flow
Y Yang, S Soatto
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
292017
Modeling self-occlusions in dynamic shape and appearance tracking
Y Yang, G Sundaramoorthi
Computer Vision (ICCV), 2013 IEEE International Conference on, 201-208, 2013
232013
Automated dense reward function generation for reinforcement learning
T Xie, S Zhao, CH Wu, Y Liu, Q Luo, V Zhong, Y Yang, TY Text2reward
arXiv preprint arXiv:2309.11489 3, 2023
172023
Coarse-to-fine region selection and matching.
Y Yang, Z Lu, G Sundaramoorthi
Conference on Computer Vision and Pattern Recognition (CVPR) 2015, 5051-5059, 2015
152015
SpOT: Spatiotemporal Modeling for 3D Object Tracking
C Stearns, D Rempe, J Li, R Ambrus, S Zakharov, V Guizilini, Y Yang, ...
ECCV 2022, arXiv preprint arXiv:2207.05856, 2022
102022
Vdn-nerf: Resolving shape-radiance ambiguity via view-dependence normalization
B Zhu, Y Yang, X Wang, Y Zheng, L Guibas
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
62023
6d camera relocalization in visually ambiguous extreme environments
Y Zheng, T Birdal, F Xia, Y Yang, Y Duan, LJ Guibas
arXiv preprint arXiv:2207.06333, 2022
52022
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