1. Professional Summary
Shiqian Wu is a senior academic and researcher in computer vision, image processing, and pattern recognition with extensive publications in related fields. He holds full professorships at both Henan Academy of Sciences and Wuhan University of Science and Technology, and his work spans from low-level visual computing to higher-level visual understanding.
2. Education
Ph.D., Electrical and Electronic Engineering, Nanyang Technological University (NTU), Singapore (1997–2000).
M.S., Mechanical Engineering, Huazhong University of Science and Technology (1985–1988).
B.Sc., Mechanical Engineering, Huazhong University of Science and Technology (1981–1985).
3. Professional Experience
Full Professor, Institute of Advanced Displays and Imaging, Henan Academy of Sciences, China (2024–Present).
Full Professor, School of Information Science and Engineering, Wuhan University of Science and Technology (WUST), Wuhan, China (2014–Present).
Researcher, Institute for Infocomm Research (I²R), A*STAR, Singapore (2000–2014).
4. Research Interests
Professor Wu’s research broadly covers:
Computer Vision and Visual Computing
Image Processing and Enhancement
Pattern Recognition and Machine Learning
Computational Photography and Low-Level Vision Tasks
His work includes seminal topics such as image restoration (de-raining, dehazing), guided image filtering, gaze estimation, robust principal component analysis, and diffusion-based vision models.
5. Scholarly Output
Shiqian Wu has co-authored 100+ research articles in international journals and conferences in computer vision and related areas, with topics ranging from deep learning approaches for image enhancement to robust visual perception methods.
Examples of recent publications:
Single image deraining via deep convolutional networks (2022).
Gaze estimation with real pupil axes for head-mounted eye tracking (IEEE Trans. Ind. Informatics, 2022).
Adaptive weighted guided image filtering for depth enhancement (CoRR, 2022).
6. Honors & Affiliations
Leadership of labs focusing on AI and machine vision research at WUST.
Supervision of graduate students and research teams in image computing and visual intelligence.