Biography
Currently, I am a last year Phd student studying Computer Science at Durham University and advised by Prof. Yang Long. My current research lies 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. By moving beyond the limitations of traditional 2D or 2.5D representations, I strive to develop multi-view reconstruction techniques that offer a comprehensive understanding of complex environments. Ultimately, my long-term goal is to create intelligent systems capable of perceiving, interpreting, and continually learning from the ever-evolving physical world.
News
∙ [2025.01] One paper is accepted to TPAMI 2025.
∙ [2024.08] One paper is accepted to PR 2024.
∙ [2023.08] One paper is accepted to TCSVT 2023.
Publications
 | Laser: Efficient Language-Guided Segmentation in Neural Radiance Fields Xingyu Miao, Haoran Duan, Yang Bai, Tejal Shah, Jun Song, Yang Long, Rajiv Ranjan, Ling Shao |
 | CTNeRF: Cross-Time Transformer for Dynamic Neural Radiance Field from Monocular Video Xingyu Miao, Yang Bai, Haoran Duan, Yawen Huang, Fan Wan, Yang Long, Yefeng Zheng |
 | DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume Xingyu Miao, Yang Bai, Haoran Duan, Yawen Huang, Fan Wan, Xinxing Xu, Yang Long, Yefeng Zheng |