Human3R: Everyone Everywhere All at Once (arXiv, 2025)
TTT3R: 3D Reconstruction as Test-Time Training (arXiv, 2025)
Easi3R: Estimating Disentangled Motion from DUSt3R Without Training (ICCV, 2025)
Feat2GS: Probing Visual Foundation Models with Gaussian Splatting (CVPR, 2025)
L2G-NeRF: Local-to-Global Registration for Bundle-Adjusting Neural Radiance Fields (CVPR, 2023)
UV Volumes for Real-time Rendering of Editable Free-view Human Performance (CVPR, 2023)
PROCA: Place Recognition under Occlusion and Changing Appearance via Disentangled Representations (conference name not provided)
Research Experience
Works in Inception3D Lab, collaborates with Yuliang Xiu at Endless AI Lab, and has interned at Tencent AI Lab, working with Xuan Wang and Qi Zhang.
Education
Ph.D. student: Westlake University & Zhejiang University, Advisors: Anpei Chen & Andreas Geiger; M.S.: Xi'an Jiaotong University; B.S.: Chongqing University.
Background
Research interests include computer vision, machine learning, and computer graphics, specifically in spatial intelligence. Aiming to understand the mechanisms underlying spatial intelligence and develop methods for enabling artificial intelligence with this capability.
Miscellany
Contact: Email, Google Scholar, GitHub, Twitter, Bluesky