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 fifth-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.

Research Interests

My research interests lie at the intersection of computer vision and machine learning, especially deep learning.
My current research focuses on:
- 3D scene understanding, especially camera pose and monocular depth estimation.
- Generative models, such as 3D-aware novel view synthesis.
- Egocentric video understanding.

Publications
	Instance Tracking in 3D Scenes from Egocentric Videos Yunhan Zhao, Haoyu Ma, Shu Kong, Charless Fowlkes CVPR, 2024 arXiv / Code
	A High-Resolution Dataset for Instance Detection with Multi-View Instance Capture Qianqian Shen, Yunhan Zhao, Nahyun Kwon, Jeeeun Kim, Yanan Li, Shu Kong NeurIPS, Datasets and Benchmarks Track, 2023 arXiv / Code
	GeoFill: Reference-Based Image Inpainting with Better Geometric Understanding Yunhan Zhao, Connelly Barnes, Yuqian Zhou, Eli Shechtman, Sohrab Amirghodsi, Charless Fowlkes WACV, 2023 arXiv
	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
	SWE Intern Jun 2023 - Sep 2023; Mountain View, CA
	Research Intern Jun 2021 - Dec 2021 & Jun 2022 - Sep 2022; 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, ICCV, ECCV, WACV

Journal Reviewer
Neurocomputing, TPAMI