Gave talks at multiple international conferences such as UW Robotics Colloquium, ICPR 2024, Stanford Robotics Seminar, etc. Research topics include Self-Supervised Learning, Video Understanding, Common Sense Reasoning, RL and Robotics, 3D Interaction, Dexterous Hand.
Research Experience
Research interests include Computer Vision, Machine Learning, and Robotics. Focus on learning 3D and dynamics representations through videos and physical robotic interaction data. Explore various means of supervision signals from the data itself, language, and common sense knowledge. Leverage these comprehensive representations to facilitate the learning of robot skills, with the goal of generalizing the robot to interact effectively with a wide range of objects and environments in the real physical world.
Education
Ph.D. from Carnegie Mellon University, advisor Abhinav Gupta; Postdoctoral fellow at UC Berkeley, working with Alexei Efros and Trevor Darrell.
Background
Associate Professor at UC San Diego in the ECE department. Affiliated with the CSE department, Center for Visual Computing, Contextual Robotics Institute, and Artificial Intelligence Group. Member of the Robotics team in the TILOS NSF AI Institute.
Miscellany
Teaches courses including ECE285: Introduction to Visual Learning and ECE176: Introduction to Deep Learning & Applications.