Yunhan Zhao

Software Engineer
Google LLC

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

profile photo
About

I'm a software engineer at Google. I completed my Ph.D. degree in Computer Science at UC Irvine, advised by Prof. Charless Fowlkes. I collaborate closely with Prof. Shu Kong.

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), foundation models, video understanding, image/video generation, and 3D scene understanding.

Publications

profile photo Solving Instance Detection from an Open-World Perspective
Qianqian Shen*, Yunhan Zhao*, Nahyun Kwon, Jeeeun Kim, Yanan Li, Shu Kong
CVPR, 2025  
arXiv  /  Code
profile photo 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   
profile photo Instance Tracking in 3D Scenes from Egocentric Videos
Yunhan Zhao, Haoyu Ma, Shu Kong, Charless Fowlkes
CVPR, 2024  
arXiv  /  Code
profile photo 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
profile photo GeoFill: Reference-Based Image Inpainting with Better Geometric Understanding
Yunhan Zhao, Connelly Barnes, Yuqian Zhou, Eli Shechtman, Sohrab Amirghodsi, Charless Fowlkes
WACV, 2023  
arXiv
profile photo 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
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
Experience

profile photo SWE Intern
Jun 2023 - Sep 2023; Mountain View, CA
profile photo Research Intern
Jun 2021 - Dec 2021 & Jun 2022 - Sep 2022; Irvine, CA (Remote)
profile photo Research Intern
Jun 2020 - Sep 2020; Irvine, CA (Remote)
profile photo 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