Published several papers, including those accepted to BMVC 2025, ICCV 2025, MICCAI 2025, ICML 2025, TPAMI 2025, PR 2024, and TCSVT 2023.
Research Experience
Involved in multiple research projects, including 3D style transfer, 2D-to-3D data lifting, and 3D editing and generation.
Education
Durham University, Computer Science, Ph.D. student, expected to graduate in 2025, Advisor: Prof. Yang Long.
Background
Currently a last year Ph.D. student in Computer Science at Durham University, advised by Prof. Yang Long. Research interests lie at the intersection of computer vision, computer graphics, and machine learning, focusing on understanding the dynamic three-dimensional world as captured by everyday images and videos. Aiming to develop multi-view reconstruction techniques that offer a comprehensive understanding of complex environments. The long-term goal is to create intelligent systems capable of perceiving, interpreting, and continually learning from the ever-evolving physical world.