Ke Xu

Ke Xu (徐科) is an active researcher working at the intersection of computer vision, computer graphics, and machine learning. He is currently a researcher at City University of Hong Kong. In 2021, he obtained a dual Ph.D. in Computer Science from Dalian University of Technology and City University of Hong Kong. His research focuses on using advanced AI technologies to tackle visual perception challenges under adverse conditions, including imaging in low-light/high-light environments, rainy image processing, and sparse-view reconstruction. Ke Xu has published numerous high-quality papers in top conferences and journals, such as CVPR, ICCV, NeurIPS, and SIGGRAPH. His research spans topics like image enhancement, rain removal, shadow detection, mirror detection, salient object detection, and 3D human reconstruction, making significant contributions to the advancement of computer vision technologies.

• 2021 – Present·City University of Hong Kong·Researcher
  • Conducting research in the fields of computer vision, computer graphics, and machine learning
  • Specializing in image processing and 3D reconstruction technologies under adverse conditions

• 2018–2021·Dalian University of Technology & City University of Hong Kong·Ph.D. (Computer Science)
  • Computer Vision, Computer Graphics, Machine Learning
• Details Not Provided | Details Not Provided | Master's Degree
  • Specific details not explicitly mentioned on the webpage