Judy Hoffman
About
Dr. Judy Hoffman is an Associate Professor in the School of Interactive Computing at Georgia Tech, a member of the Machine Learning Center, and a Diversity and Inclusion Fellow. Her research lies at the intersection of computer vision and machine learning with specialization in domain adaptation, transfer learning, adversarial robustness, and algorithmic fairness. She has received numerous awards, including NSF CAREER, Google Research Scholar Award, Samsung AI Researcher of the Year Award, NVIDIA female leader in computer vision award, AIMiner top 100 most influential scholars in Machine Learning, MIT EECS Rising Star, and multiple best paper awards. In addition to her research, she co-founded and continues to advise for Women in Computer Vision, an organization that provides mentorship and travel support for early-career women in the computer vision community. Prior to joining Georgia Tech, she was a Research Scientist at Facebook AI Research. She received her PhD in Electrical Engineering and Computer Science from UC Berkeley, after which she completed Postdocs at Stanford University and UC Berkeley.
Research Performance Summary
First Recorded Paper
EG-RRT: Environment-guided random trees for kinodynamic motion planning with uncertainty and obstacles
Year: 2011
Citations: 62
Venue: 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems
Latest Recorded Paper
Improving Personalized Search with Regularized Low-Rank Parameter Updates
Year: 2025
Citations: 1
Venue: Proceedings of the Computer Vision and Pattern Recognition Conference, 19748
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.