Published multiple papers including Art3D: Training-Free 3D Generation from Flat-Colored Illustration (CVPRW 2025 Oral), DyTact: Capturing Dynamic Contacts in Hand-Object Manipulation (arXiv), GaussUV: Long-Duration Free-Viewpoint Video with Gaussian UV Maps (arXiv), GenHSI: Controllable Generation of Human-Scene Interaction Videos (arXiv), OscillationInversion: Understand the structure of Large Flow Model through the Lens of Inversion Method (arXiv), 4DRecons: 4D Neural Implicit Deformable Objects Reconstruction from a single RGB-D Camera with Geometrical and Topological Regularizations (arXiv), Automatic Controllable Colorization by Imagination (CVPR 2024, arXiv).
Research Experience
Research intern at The University of Texas at Austin (Summer 2023) and Hong Kong University of Science and Technology.
Education
1st-year CS Ph.D. student at Brown University, advised by Prof. Srinath Sridhar; B.E. of Robotics Engineering from Zhejiang University with honors from Cho Kochen Honors College in 2024.
Background
Research interests include computer vision, computer graphics, and machine learning, particularly 3D spatiotemporal visual perception, understanding and reasoning of human physical interactions with the world. Also interested in generative models (diffusion, flow model) from both theoretical and application perspectives.
Miscellany
Contact: xiaoyan_cong [at] brown [dot] edu; Office: 115 Waterman St, Providence, RI 02906; Feel free to contact for discussion or collaboration.