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Yinlin Hu
Yinlin Hu
CVLab, EPFL
Verified email at epfl.ch - Homepage
Title
Cited by
Cited by
Year
Efficient Coarse-to-Fine PatchMatch for Large Displacement Optical Flow
Y Hu, R Song, Y Li
Computer Vision and Pattern Recognition (CVPR), 5704-5712, 2016
2142016
Segmentation-Driven 6D Object Pose Estimation
Y Hu, J Hugonot, P Fua, M Salzmann
Computer Vision and Pattern Recognition (CVPR), 3385-3394, 2019
1902019
Single-Stage 6D Object Pose Estimation
Y Hu, P Fua, W Wang, M Salzmann
Computer Vision and Pattern Recognition (CVPR), 2930-2939, 2020
742020
Robust Interpolation of Correspondences for Large Displacement Optical Flow
Y Hu, Y Li, R Song
Computer Vision and Pattern Recognition (CVPR), 481-489, 2017
742017
Eigendecomposition-Free Training of Deep Networks with Zero Eigenvalue-Based Losses
Z Dang, K Moo Yi, Y Hu, F Wang, P Fua, M Salzmann
European Conference on Computer Vision (ECCV), 768-783, 2018
342018
Backpropagation-Friendly Eigendecomposition
W Wang, Z Dang, Y Hu, P Fua, M Salzmann
Neural Information Processing Systems (NeurIPS), 3156-3164, 2019
312019
Coarse-to-Fine PatchMatch for Dense Correspondence
Y Li, Y Hu, R Song, P Rao, Y Wang
Circuits and Systems for Video Technology (CSVT) 28 (9), 2233-2245, 2017
262017
Highly Accurate Optical Flow Estimation on Superpixel Tree
Y Hu, R Song, Y Li, P Rao, Y Wang
Image and Vision Computing (IVC) 52, 167-177, 2016
152016
Minimum Barrier Superpixel Segmentation
Y Hu, Y Li, R Song, P Rao, Y Wang
Image and Vision Computing (IVC) 70, 1-10, 2018
112018
Wide-Depth-Range 6D Object Pose Estimation in Space
Y Hu, S Speierer, W Jakob, P Fua, M Salzmann
Computer Vision and Pattern Recognition (CVPR), 15870-15879, 2021
102021
Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems
Z Dang, KM Yi, Y Hu, F Wang, P Fua, M Salzmann
Pattern Analysis and Machine Intelligence (PAMI) 43 (9), 3167-3182, 2020
62020
Robust rgb-based 6-dof pose estimation without real pose annotations
Z Li, Y Hu, M Salzmann, X Ji
arXiv preprint arXiv:2008.08391, 2020
42020
Robust differentiable svd
W Wang, Z Dang, Y Hu, P Fua, M Salzmann
IEEE transactions on pattern analysis and machine intelligence, 2021
32021
Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions
VN Nguyen, Y Hu, Y Xiao, M Salzmann, V Lepetit
Computer Vision and Pattern Recognition (CVPR), 6771-6780, 2022
22022
Fusing Local Similarities for Retrieval-based 3D Orientation Estimation of Unseen Objects
C Zhao, Y Hu, M Salzmann
arXiv preprint arXiv:2203.08472, 2022
12022
SD-Pose: Semantic Decomposition for Cross-Domain 6D Object Pose Estimation
Z Li, Y Hu, M Salzmann, X Ji
AAAI Conference On Artificial Intelligence (AAAI) 35, 2020-2028, 2021
12021
Knowledge Distillation for 6D Pose Estimation by Keypoint Distribution Alignment
S Guo, Y Hu, JM Alvarez, M Salzmann
arXiv preprint arXiv:2205.14971, 2022
2022
Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation
Y Hu, P Fua, M Salzmann
arXiv preprint arXiv:2203.09836, 2022
2022
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