Yunhan Zhao's Homepage

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

About

I'm a third-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) 3D scene understanding, 2) domain adaptation, 3) generative models

Publications
	GeoFill: Reference-Based Image Inpainting of Scenes with Complex Geometry Yunhan Zhao, Connelly Barnes, Yuqian Zhou, Eli Shechtman, Sohrab Amirghodsi, Charless Fowlkes arXiv preprint, 2021 arXiv / Project Page / Code
	Camera Pose Matters: Improving Depth Prediction by Mitigating Pose Distribution Bias Yunhan Zhao, Shu Kong, Charless Fowlkes CVPR, 2021 (Oral Presentation) arXiv / Project Page / Code
	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
	Resisting Large Data Variations via Introspective Transformation Network Yunhan Zhao, Ye Tian, Charless Fowlkes, Wei Shen, Alan Yuille WACV, 2020 arXiv / Project Page / Code

Experience
	Research Intern Jun 2021 - Dec 2021; Irvine, CA (Remote)
	Research Intern Jun 2020 - Sep 2020; Irvine, CA (Remote)
	Student Researcher Jun 2018 - Sep 2018; Cambridge, MA

Invited Talks

Imperial College London Reading Group: Camera Pose Matters: Improving Depth Prediction by Mitigating Pose Distribution Bias; Irvine, CA (Remote); Jun. 2021

Professional Services

Conference Reviewer
CVPR (2021, 2022), ICCV (2021), WACV (2020)

Journal Reviewer
Neurocomputing