- SpatioTemporal Difference Network for Video Depth Super-Resolution, AAAI 2026, oral
- See through the Dark: Learning Illumination-affined Representations for Nighttime Occupancy Prediction, NeurIPS 2025
- Event-Driven Dynamic Scene Depth Completion, NeurIPS 2025
- Tri-Perspective View Decomposition for Geometry Aware Depth Completion and Super-Resolution, TPAMI 2025
- DuCos: Duality Constrained Depth Super-Resolution via Foundation Model, ICCV 2025
- DORNet: A Degradation Oriented and Regularized Network for Blind Depth Super-Resolution, CVPR 2025, oral
Research Experience
Currently a research fellow at National University of Singapore (NUS), working closely with Prof. Gim Hee Lee on 3D computer vision.
Education
Obtained a PhD degree from PCALab, Nanjing University of Science and Technology (NJUST) in June 2024, advised by Prof. Jian Yang and co-advised by Prof. Jun Li; received a Bachelor's degree from NJUST in June 2018.
Background
Research interests include computer vision and machine learning, particularly in depth estimation, depth completion, depth super-resolution, and NeRF rendering. These tasks are crucial for applications such as self-driving, robotic vision, and related 3D visual perception. Also fascinated by 3D occupancy prediction.
Miscellany
Welcome to contact me for discussion and cooperation. Contact: Email / GitHub / Google Scholar