Me
@Milan

Thomas E. Huang

Waymo

Email
thomaseh [at] umich [dot] edu
thomas.e.huang [at] gmail [dot] com

About Me

Hello! My name is Thomas E. Huang. I am a Research Scientist at Waymo on the perception foundation model team.

I obtained my PhD in Computer Vision at the Computer Vision Lab at ETH Zürich, advised by Fisher Yu. Previously, I obtained my Master's and Bachelor's degrees from the EECS department at the University of Michigan.

News

Jan. 2026Started as Research Scientist at Waymo working on perception foundation models! 🚗
Jan. 2026Successfully defended my PhD thesis at ETH Zürich! 🎓
May. 2025Started research internship at Waymo! 🚗

Experiences

Waymo

Jan. 2026 – current
Research Scientist, Perception Foundation Model
Mountain View, CA
Before PhD

Waymo

May. 2025 – Nov. 2025
Research Intern, Advisors: Dr. Alex Zhu, Dr. Hao Xiang
Mountain View, CA

Computer Vision Lab, ETH Zürich

Aug. 2021 – Jan. 2026
Researcher, Advisor: Prof. Fisher Yu
Zürich, Switzerland

Berkeley DeepDrive (BDD) Lab

Jun. 2019 – Sep. 2019
Research Intern, Advisors: Prof. Fisher Yu, Prof. Trevor Darrell
Berkeley, CA

Selected Publications

Video Task Decathlon: Unifying Image and Video Tasks in Autonomous Driving

ICCV2023
Thomas E. Huang,
Yifan Liu,
Luc Van Gool,
Fisher Yu
project
Project
arxiv
Paper

QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking

TPAMI2023
Thomas E. Huang*,
Tobias Fischer*,
Jiangmiao Pang*,
Linlu Qiu,
Haofeng Chen,
Trevor Darrell,
Fisher Yu
project
Project
arxiv
Paper
github
Code

Composite Learning for Robust and Effective Dense Predictions

WACV2023
Menelaos Kanakis,
Thomas E. Huang,
David Bruggemann,
Fisher Yu,
Luc Van Gool
arxiv
Paper
github
Code

Dense Prediction with Attentive Feature Aggregation

WACV2023
Yung-Hsu Yang,
Thomas E. Huang,
Min Sun,
Samuel Rota Bulò,
Peter Kontschieder,
Fisher Yu
arxiv
Paper
github
Code

Tracking Every Thing in the Wild

ECCV2022
Siyuan Li,
Martin Danelljan,
Henghui Ding,
Thomas E. Huang,
Fisher Yu
arxiv
Paper
github
Code

Robust Object Detection via Instance-Level Temporal Cycle Confusion

ICCV2021
Xin Wang,
Thomas E. Huang*,
Benlin Liu*,
Fisher Yu,
Xiaolong Wang,
Joseph E. Gonzalez,
Trevor Darrell
arxiv
Paper
github
Code

Frustratingly Simple Few-Shot Object Detection

ICML2020
Thomas E. Huang*,
Xin Wang*,
Trevor Darrell,
Joseph E. Gonzalez,
Fisher Yu
arxiv
Paper
github
Code
1K+ ⭐

Education

ETH Zürich

Aug. 2021 – Jan. 2026
PhD in Information Technology and Electrical Engineering
Zürich, Switzerland

University of Michigan

Sep. 2019 – Apr. 2021
Masters in Computer Science and Engineering
Ann Arbor, Michigan

University of Michigan

Sep. 2015 – Apr. 2019
Bachelor of Engineering in Computer Science and Data Science
Ann Arbor, Michigan
Last updated: Feb. 1st, 2026. Thanks to Anthony for building the website ♥