About Me
I am a Research Scientist at Beijing Institute for General Artificial Intelligence (BIGAI). I received my Ph.D. in the Department of Statistics at the University of California, Los Angeles (UCLA). I believe the ability to comprehensively perceive the world is central to next-step general AI. Thus, my research focuses on enabling human-like vision capabilities for machines, particularly in the areas of 3D scene understanding, e.g., reconstruction, grounding, human motion and human-object interaction.
Previously, I interned at Perceiving Systems, MPI for Intelligent Systems advised by Prof. Michael Black and Prof. Dimitrios Tzionas, and Amazon supervised by Li Erran Li.News
New! 2024-10: PhyRecon accepted in NeurIPS 2024, which integrates physical simulation with neural scene rendering. Congrats Junfeng et al.
New! 2024-10: One paper accepted in SIGGRAPH Asia 2024, which continously pushes the boundaries of 3D human-scene interaction. Congrats Nan et al.
2024-07: Three papers accepted in ECCV 2024, including SceneVerse and PQ3D (congrats Ziyu et al.) on 3D VL, and SlotLifter (congrats Yu et al.) on object-centric learning.
2024-03: Two papers about 3D human motion and HSI accepted in CVPR 2024. Congrats Nan et al. and Zan et al.!
2023-06: We organize the 4th 3D Scene Understanding for Vision, Graphics and Robotics at CVPR 2023. Check out the workshop page!
2023-03: One paper about human-object contact accepted in CVPR 2023.