I am currently working as a research scientist at Shanghai Artificial Intelligence Laboratory. Before that, I was a postdoctoral fellow in the Chinese University of Hong Kong. I obtained my Ph.D. degree in Department of Computer Science and Engineering, The Chinese University of Hong Kong (CUHK) in 2020, supervised by Prof. Pheng-Ann Heng and Prof. Chi-Wing Fu, and obtained my B. Eng. degree in School of Computer Science and Engineering, South China University of Technology (SCUT) in 2016.

My research interests span computer vision, low-level vision, vision perception, medical AI, and deep learning. Specifically, my research focuses on: (a) Designing learning algorithms tailored for image and video restoration under challenging weather and lighting conditions. (b) Specializing in the development of intelligent perception methods capable of continuous operation, with the adaptability to varying environments and diverse lighting scenarios. (c) Advancing the development of next-generation computer vision models, efficiently handling multiple tasks, and contributing to a deeper understanding of and an enhanced ability to create the visual world.


[12/2023] 河北广播电视台、河北科学技术馆联合报道:河北往届竞赛选手追踪 | 胡枭玮:科学研究·兴趣是最好的老师
[10/2023] 入选“国家高层次青年人才” (National High-level Young Talents Program of China)
[10/2023] 入选“美国斯坦福大学全球前2%顶尖科学家榜单” (World’s Top 2% Scientists by Stanford University)
[07/2023] One paper accepted to ICCV 2023 (Congrats to Yang Han and Tianyu)
[02/2023] Four papers accepted to CVPR 2023 (Congrats to Jiaqi, Yurui, Shi Min, and Tianyu)
[08/2022] Winner at ECCV-MIPI 2022 Challenge on Under-display Camera Image Restoration (Congrats to Yurui)
[06/2022] One paper accepted to PAMI (Congrats to Tianyu)
[12/2021] Achieved Excellence in the Hong Kong Young Scientist Award