Kai-Fu Yang
Scholar

Kai-Fu Yang

Google Scholar ID: i0VkF0EAAAAJ
University of Electronic Science and Technology of China
Computational VisionEye TrackingVisual SearchBio-inspired Computer Vision
Citations & Impact
All-time
Citations
1,483
 
H-index
22
 
i10-index
31
 
Publications
20
 
Co-authors
10
list available
Resume (English only)
Academic Achievements
  • Published multiple papers, such as 'Efficient Illuminant Estimation for Color Constancy Using Grey Pixels' (CVPR, 2015), 'Nighttime Color Constancy Using Robust Gray Pixels' (JOSA A, 2024), and 'Memory-Guided Collaborative Attention for Nighttime Thermal Infrared Image Colorization of Traffic Scenes' (IEEE TITS, 2024).
Research Experience
  • Serves as an associate research professor at the MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China (UESTC). Research projects include bio-inspired computer vision, computer vision in traffic scenes, and bio-inspired image enhancement.
Education
  • Received a Ph.D. in Biomedical Engineering from UESTC in 2016 under the supervision of Prof. Yong-Jie Li. Served as a visiting scholar at the Computer Vision Lab, Department of Information Technology and Electrical Engineering, ETH Zurich, Switzerland, from August 2019 to August 2020.
Background
  • Associate Research Professor with research interests in computational vision, bio-inspired computer vision, and medical image analysis. Conducts interdisciplinary research at the intersection of visual cognition and computer vision, aiming to explore the underlying computational theory of visual cognition and develop bio-inspired methods for computer vision applications.
Miscellany
  • No detailed information provided about personal interests.