Yinlin Hu
Yinlin Hu
CVLab, EPFL, Switzerland
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
1472016
Segmentation-Driven 6D Object Pose Estimation
Y Hu, J Hugonot, P Fua, M Salzmann
Computer Vision and Pattern Recognition (CVPR), 3385-3394, 2019
482019
Robust interpolation of correspondences for large displacement optical flow
Y Hu, Y Li, R Song
Computer Vision and Pattern Recognition (CVPR), 481-489, 2017
412017
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
222018
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
162017
Backpropagation-Friendly Eigendecomposition
W Wang, Z Dang, Y Hu, P Fua, M Salzmann
Neural Information Processing Systems (NeurIPS), 3156-3164, 2019
72019
Minimum Barrier Superpixel Segmentation
Y Hu, Y Li, R Song, P Rao, Y Wang
Image and Vision Computing (IVC) 70, 1-10, 2018
72018
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
72016
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), 2020
12020
Single-Stage 6D Object Pose Estimation
Y Hu, P Fua, W Wang, M Salzmann
Computer Vision and Pattern Recognition (CVPR), 2930-2939, 2020
12020
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