Prof WANG, Xiaogang 王曉剛

Prof WANG, Xiaogang 王曉剛 is a Professor in the Department of Electrical Engineering at The Chinese University of Hong Kong. His research interests include crowd behaviour analysis, object detection and tracking, person re-identification, face recognition, image and video searching, and medical imaging. Prof WANG holds a BSc from USTC, MPhil from CUHK, and PhD from MIT. He can be contacted via email at xgwang@ee.cuhk.edu.hk or through his profile page at https://www.ee.cuhk.edu.hk/en-gb/people/academic-staff/professors/prof-xiaogang-wang.

Xiaogang Wang is a Professor of Electronic Engineering at the Chinese University of Hong Kong, specializing in computer vision, pattern recognition, and machine learning. His research focuses on advancing deep learning techniques for tasks such as image classification, object detection, and facial recognition. Wang's work includes developing innovative architectures like the Pyramid Scene Parsing Network and StackGAN for generating realistic images. He has also contributed to person re-identification and 3D object detection from point clouds. His research emphasizes robustness in real-world scenarios, as seen in projects involving deep learning for face attributes and medical image classification.