John See  
(施 书杨)



Hi! I am an Associate Professor at the School of Mathematical and Computer Sciences, Heriot-Watt University (Malaysia Campus). I spent much of my early career at Multimedia University, Malaysia where I founded the Visual Processing (ViPr) Lab and was also chair of the Centre for Visual Computing (CVC). From 2017-2019, I was also a Visiting Research Fellow at Shanghai Jiao Tong University (SJTU) as a recepient of the Belt and Road Initiative Young Scientist Fellowship where I worked closely with Weiyao Lin.

My research interests spans broadly the areas of computer vision and multimedia signal processing. In particular, my current research focus is on the understanding and analysis of emotional signals from a variety of context - from photographs to subtle facial cues to human-robot interactions. I still work on a lot of classical problems related to visual surveillance: object detection from high resolution imagery, activity recognition and localization.

I am currently serving as the Subject Editor (Senior Area Chair) of the Signal Processing journal, and Associate Editor of IEEE Transactions on Multimedia, EURASIP Journal of Image and Video Processing, The Computer Journal and Frontiers in Signal Processing - Image Processing. I am also a Senior Member of IEEE and an elected member of the IEEE Multimedia Systems and Applications (MSA) Technical Committee (2020-2024).


Jan 30, 2024 New Year, new design. My new site is now relaunched in a fresher, minimalist format!

selected publications

  1. ×
    SFAMNet: A Scene Flow Attention-based Micro-expression Network
    Gen-Bing Liong, Sze-Teng Liong, Chee Seng Chan, and John See
    Neurocomputing, 2024
  2. ×
    Doing More With Moiré Pattern Detection in Digital Photos
    Cong Yang, Zhenyu Yang, Yan Ke, Tao Chen, Marcin Grzegorzek, and John See
    IEEE Transactions on Image Processing, 2023
  3. ×
    Slice-Aided Defect Detection in Ultra High-Resolution Wind Turbine Blade Images
    Imad Gohar, Abderrahim Halimi, John See, Weng Kean Yew, and Cong Yang
    Machines, 2023
  4. ×
    FatigueView: A Multi-Camera Video Dataset for Vision-Based Drowsiness Detection
    Cong Yang, Zhenyu Yang, Weiyu Li, and John See
    IEEE Transactions on Intelligent Transportation Systems, 2022
  5. ×
    Skeleton Ground Truth Extraction: Methodology, Annotation Tool and Benchmarks
    Cong Yang, Bipin Indurkhya, John See, Bo Gao, Yan Ke, Zeyd Boukhers, Zhenyu Yang, and Marcin Grzegorzek
    International Journal of Computer Vision, 2023
  6. ×
    ERNet: An Efficient and Reliable Human-Object Interaction Detection Network
    JunYi Lim, Vishnu Monn Baskaran, Joanne Mun-Yee Lim, KokSheik Wong, John See, and Massimo Tistarelli
    IEEE Transactions on Image Processing, 2023
  7. ×
    MEGC2023: ACM Multimedia 2023 ME Grand Challenge
    Adrian K Davison, Jingting Li, Moi Hoon Yap, John See, Wen-Huang Cheng, Xiaobai Li, Xiaopeng Hong, and Su-Jing Wang
    In Proceedings of the 31st ACM International Conference on Multimedia, 2023