Zhichao Yin

I was a full-time researcher at Berkeley DeepDrive, where I worked on computer vision and deep learning with Fisher Yu and Trevor Darrell. I have also collaborated with Jianping Shi at SenseTime Research. I did my bachelors in Mathematics at Fudan University.

My research interests focus on integrating deep learning techniques into mobile photography, geometry understanding and motion analysis of general images or videos.

E-mail  /  Google Scholar  /  Github  /  LinkedIn

Research
HD3

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 (rank the 1st in optical flow).

GeoNet

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.

Services

Journal Reviewer for TPAMI, TCSVT, TCI
Conference Reviewer for CVPR, ICCV, ECCV, AAAI, ICRA, IROS


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