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Hierarchical Discrete Distribution Decomposition for Match Density Estimation
Zhichao Yin, Trevor Darrell, Fisher Yu
Computer Vision and Pattern Recognition (CVPR), 2019
Paper  / 
Code  / 
Bibtex
@inproceedings{yin2019hd3,
title = {Hierarchical Discrete Distribution Decomposition
for Match Density Estimation},
author = {Yin, Zhichao and Darrell, Trevor and Yu,
Fisher},
booktitle = {CVPR},
year = {2019}
}
We propose Hierarchical Discrete Distribution Decomposition (HD3), a framework suitable for learning probabilistic pixel correspondences. Our method achieves state-of-the-art results on both KITTI Stereo & Flow Benchmarks (ranked the 1st in optical flow).
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GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose
Zhichao Yin, Jianping Shi
Computer Vision and Pattern Recognition (CVPR), 2018
Paper  / 
Code  / 
Bibtex
@inproceedings{yin2018geonet,
title = {GeoNet: Unsupervised Learning of Dense Depth,
Optical Flow and Camera Pose},
author = {Yin, Zhichao and Shi, Jianping},
booktitle = {CVPR},
year = {2018}
}
We propose GeoNet, a jointly unsupervised learning framework for monocular depth, optical flow and ego-motion
estimation from videos.
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