Research
I build models that understand, predict, and act in the dynamic 3D world.
Understanding Dynamic 3D Worlds
Models that accurately see and understand changing real-world environments — geometry, motion, and object interactions — in real time.
Intelligent Robots That Can Act
Robots that use perception to guide their actions, correct mistakes, handle occlusions or disturbances, and collaborate smoothly with humans.
Predictive World Models
Systems that imagine future events, predict how scenes change, and reason about human intentions — enabling safer, long-horizon decision making.
Recent Work
See my Google Scholar for the full list.
Stream3D: Sequential Multi-View 3D Generation via Evidential Memory
ECCV OpenSUN3D 2026 Best Paper Finalist
GEM-4D: Geometry-Enhanced Video World Models for Robot Manipulation
ECCV 2026 · CVPR WMAS 2026 Best Paper Finalist
RISE: Single Static Radar-based Indoor Scene Understanding
CVPR 2026 · CVPR GCV 2026 Best Paper Finalist
More Publications
Non-Line-of-Sight 3D Object Reconstruction via mmWave Surface Normal Estimation
ACM MobiSys 2025 · Best Paper Nominee
SCANet: Correcting LEGO Assembly Errors with Self-Correct Assembly Network
IROS 2024 · Finalist, Best Application Paper Award
Awards
Activities
Students
Wonderful students I work with / have worked with.
