Xiaowei Hu

胡枭玮

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]


Biography

I am 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, I received the B. Eng. degree from the School of Computer Science and Engineering, South China University of Technology (SCUT) in 2016. I worked with Prof. Xuemiao Xu for undergraduate research.

My research interests cover computer vision and deep learning, with special emphasis on low-level vision. Specifically, I am dedicated to designing learning frameworks by exploring the physical properties of various vision applications, including shadow image analysis, rain removal, and saliency detection. I am 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.

Publications

Google Scholar

Honors & Awards

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, ICCV 2019 (Outstanding Reviewer), CVPR 2019, MICCAI 2019

  • Journal Reviews

    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