Xiaowei Hu


Ph.D. Student

Rm 1024, Ho Sin-Hang Engineering Building,
Department of Computer Science and Engineering,
The Chinese University of Hong Kong,
Shatin, Hong Kong.

Email: xwhu@cse.cuhk.edu.hk
[Curriculum Vitae]


Xiaowei Hu is currently a fourth-year Ph.D. student in the Department of Computer Science and Engineering, The Chinese University of Hong Kong (CUHK), supervised by Prof. Pheng-Ann Heng and Prof. Chi-Wing Fu. Before that, he received the B. Eng. degree from the School of Computer Science and Engineering, South China University of Technology (SCUT) in 2016. He worked with Prof. Xuemiao Xu for undergraduate research.

His research interests cover computer vision and deep learning, with special emphasis on low-level vision. Specifically, he is dedicated to designing learning frameworks by exploring the physical properties of various vision applications, including shadow image analysis, rain removal, and saliency detection. He is also interested in exploring robust learning algorithms with less human supervision for image recognition and restoration, which helps to improve scene understanding and enhance camera capability.


Google Scholar


Honors & Awards

  • Hong Kong Ph.D. Fellowship (the highest scholarship for students studying in Hong Kong)
  • Best Oral Presentation Award of Hong Kong Computer Vision Workshop (the only winner)
  • ICCV Outstanding Reviewer Award (top 3.6%)
  • Excellent Teaching Assistant at CSE Department, CUHK
  • Top 10 Outstanding Students at SCUT (rank 1st, the highest award for students at SCUT)
  • Gold Award of Pan-Pearl-River-Delta University IT Project Competition in China
  • Google Excellence Scholarship (one of 58 winners in China)
  • Tencent Outstanding Scholarship (the only undergraduate winner at SCUT)
  • National Scholarship (the highest national wide scholarship for undergraduate students in China)
  • First Prize of Adolescents Science & Technology Innovation Contest in Hebei Province

Teaching and Supervision

  • Teaching Assistant at CUHK

    Advanced Topics in Computer Graphics and Visualization (Excellent Teaching Assistant), Spring 2018.
    Digital Logic and Systems, Fall 2016-2018.
    Linear Algebra and Vector Calculus for Engineers, Spring 2017.

  • Supervision

    Supervise junior Ph.D. (Tianyu Wang and Xiao Tang), M.Phil. (Zijun Deng, Lihao Liu, and Tianfei Yu), and undergraduate (Yitong Jiang) students to publish research papers on top-tier conferences and journals.

Professional Activities

  • Invited Talks

    Talk at Shantou University, "Deep Learning for Shadow Detection and Removal", December 2019.

    Hong Kong Computer Vision Workshop, "Mask-ShadowGAN: Learning to Remove Shadows from Unpaired Data" (Best Oral Presentation Award), October 2019.

    AI Massive Open Online Course, "Direction-Aware Spatial Context Features for Shadow Detection" (Chinese), July 2018.
    [video link1] [video link2] [report]

  • Conference Services

    Programme Committee: AAAI 2020
    Reviewer: ECCV 2020, CVPR 2020 & 2019, ICCV 2019 (Outstanding Reviewer), MICCAI 2020 & 2019

  • Journal Reviews

    IEEE TMM, IEEE TCSVT, Neurocomputing, The Visual Computer, IEEE Access

  • Reading List on Deep Learning [link]

  • My Undergraduate Experiences (Chinese)

    Report 1, Report 2, Report 3, Report 4, Report 5