Yunhan Zhao

Ph.D. Candidate
Department of Computer Science
University of California, Irvine

Email: yunhaz5 [at] ics [dot] uci [dot] edu
CV  /  Github  /  Google Scholar (Coming Soon)

profile photo
About

I'm a first-year Ph.D. student in Computer Science at UC Irvine, advised by Prof. Charless Fowlkes. Prior to joining UC Irvine, I was fortunate to be advised by Prof. Alan Yuille at Johns Hopkins University. I have also spent a wonderful time working with Prof. Rene Vidal and Prof. Joshua Tenenbaum for a short period.

Research Interests
  • My research interests lie at the intersection of computer vision and machine learning, especially deep learning.
  • My current research focuses include 1) domain adaptation, 2) 3D vision (e.g., depth estimation), 3) generative models
Publications

profile photo When Perspective Comes for Free: Improving Depth Prediction with Camera Pose Encoding
Yunhan Zhao, Shu Kong, Charless Fowlkes
arXiv preprint, 2020
arXiv  /  Project Page  /  Code
profile photo Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation
Yunhan Zhao, Shu Kong, Daeyun Shin, Charless Fowlkes
CVPR, 2020
arXiv  /  Project Page  /  Code
profile photo Resisting Large Data Variations via Introspective Transformation Network
Yunhan Zhao, Ye Tian, Charless Fowlkes, Wei Shen, Alan Yuille
WACV, 2020
arXiv  /  Project Page  /  Code (Coming Soon)
Professional Services

Conference Reviewer
WACV 2020

Journal Reviewer
Neurocomputing