Yunhan Zhao's Homepage

Yunhan Zhao

Research Engineer
Google DeepMind

Email: yunhaz5 [at] ics [dot] uci [dot] edu
CV / Github / Google Scholar

About

I'm a research engineer at Google DeepMind where I work on video generative models (Veo). I completed my Ph.D. degree in Computer Science at UC Irvine, advised by Prof. Charless Fowlkes. Previously, I finished my Master degree at Johns Hopkins University working with Prof. Alan Yuille.

Research Interests

My research interests are in computer vision and machine learning, especially deep learning.
My primary interests are embodied AI (vision for robotics, perception for action), generative models, and 3D scene understanding.

Publications
	Solving Instance Detection from an Open-World Perspective Qianqian Shen, Yunhan Zhao, Nahyun Kwon, Jeeeun Kim, Yanan Li, Shu Kong CVPR, 2025 arXiv / Code
	Anomaly Detection of Tabular Data Using LLMs Aodong Li, Yunhan Zhao, Chen Qiu, Marius Kloft, Padhraic Smyth, Maja Rudolph, Stephan Mandt IJCAI, ADFM Workshop, 2024 arXiv
	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, NeurIPS

Journal Reviewer
Neurocomputing, TPAMI

Workshop and Challenge Organizer
Object Instance Detection Challenge at VPLOW, CVPR 2024
The 1st workshop on Object Instance Detection InsDet, ACCV 2024
Object Instance Detection Challenge at VPLOW, CVPR 2025