Published multiple papers, including AllTracker: Efficient Dense Point Tracking at High Resolution (ICCV 2025), Animal Pose Labeling Using General-Purpose Point Trackers (CVPR-W 2025), etc.; gave invited talks at various conferences such as VOTS Workshop (ICCV 2025), 4D Vision and Pixel-Level Vision Foundation Models (CVPR 2025), etc.; served as an Area Chair for several conferences including 3DV 2025, WACV 2025, ICML 2025, NeurIPS 2025, TMLR, etc.
Research Experience
Research Scientist at Meta; Postdoc at Stanford University with Prof. Leonidas Guibas; Ph.D. at Carnegie Mellon University with Prof. Katerina Fragkiadaki.
Education
Ph.D. in Robotics from Carnegie Mellon University, advised by Prof. Katerina Fragkiadaki; M.S. in Computer Science from Stanford University, advised by Prof. Leonidas Guibas; B.A. in Psychology.
Background
Research Interests: Computer vision and machine learning, particularly getting computers to understand motion and space.