Brief Biography

I am currently a second-year PhD student in the Vision and Learning Lab at University of California, Merced supervised by Ming-Hsuan Yang. Before coming to UC Merced in 2016, I received my M.S. degree in Electrical Engineering from University of Southern California (USC) in 2016, M.S. degree of Communication Engineering and my B.S. degree in Electrical Engineering from National Taiwan University (NTU), Taipei, Taiwan in 2013 and 2011, respectively.



SCOPS: Self-Supervised Co-part Segmentation

Wei-Chih Hung, Varun Jampani, Sifei Liu, Pavlo Molchanov, Ming-Hsuan Yang, and Jan Kautz
CVPR 2019
[project]   [paper]

Learning to Blend Photos

Wei-Chih Hung, Jianming Zhang, Xiaohui Shen, Zhe Lin, Joon-Young Lee, and Ming-Hsuan Yang
ECCV 2018
[project]   [paper]

Adversarial Learning for Semi-Supervised Semantic Segmentation

Wei-Chih Hung, Yi-Hsuan Tsai, and Ming-Hsuan Yang
BMVC 2018
[project]   [paper]

Learning to Adapt Structured Output Space for Semantic Segmentation

Yi-Hsuan Tsai*, Wei-Chih Hung*, Samuel Schulter, Kihyuk Sohn, Ming-Hsuan Yang, and Manmohan Chandraker (*indicates equal contribution)
CVPR 2018 (spotlight)
[project]   [paper]

Fast and Accurate Online Video Object Segmentation via Tracking Parts

Jingchun Chen, Yi-Hsuan Tsai, Wei-Chih Hung, Shengjin Wang, and Ming-Hsuan Yang
CVPR 2018 (spotlight)
[project]   [paper]

Scene Parsing with Global Context Embedding

Wei-Chih Hung, Yi-Hsuan Tsai, Xiaohui Shen, Zhe Lin, Kalyan Sunkavalli, Xin Lu, and Ming-Hsuan Yang
ICCV 2017
[project]   [paper]

Learning to Segment Instances in Videos with Spatial Propagation Network

Jingchun Cheng, Sifei Liu, Yi-Hsuan Tsai, Wei-Chih Hung, Shalini De Mello, Jinwei Gu, Jan Kautz, Shengjin Wang, Ming-Hsuan Yang
The 2017 DAVIS Challenge on Video Object Segmentation, CVPR Workshops, 2017
[DAVIS Challenge 2017]   [paper]

Unsupervised Visual Representation Learning by Graph-based Consistent Constraints

Dong Li, Wei-Chih Hung, Jia-Bin Huang, Shengjin Wang, Narendra Ahuja, Ming-Hsuan Yang
ECCV 2016
[project]   [paper]