Yunhan Zhao
Software Engineer
Google LLC
Email: yunhaz5 [at] ics [dot] uci [dot] edu
CV /
Github /
Google Scholar
|
|
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
|
|
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
|
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
|
|