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Chen Zhao

About Chen Zhao

Chen Zhao

  • Former members, Electrical and Computer Engineering

Deep learning Computer Vision Compressive Sensing image and video processing Video Understanding Reversible networks

Chen Zhao was a Research Scientist at KAUST, and Lead of the Video Understanding Theme in the Image and Video Understanding Lab. She received her Ph.D. degree from Peking University, China in 2016. She studied in University of Washington, US from 2012 to 2013, and at the National Institute of Informatics, Japan in 2016. She has published 40+ papers on representative journals and conferences such as TPAMI, CVPR, ICCV, ECCV, and has received over 3000 citations according to Google Scholar.

Events

Presented Events

May 5 - May 11, 2024

  • Toward long-form video understanding

    Chen Zhao, Former members, Electrical and Computer Engineering
    May 5, 12:00 - 13:00

    B9 L2 H2

    Nowadays, videos are omnipresent in our daily lives. From TikTok clips to Bilibili videos, from surveillance footage to vlogs recordings, the sheer volume of video content is staggering. Processing and analyzing the substantial volume of video data demands immense human effort. While computer vision techniques have made remarkable progress in automating video understanding in short clips, their effectiveness and efficiency when applied to long-form videos still fall short of the mark.

Related Sites

  • Center of Excellence for Generative AI (GenAI)
  • Electrical and Computer Engineering (ECE)
  • Image and Video Understanding Lab (IVUL)

Related Content

  • Articles
    2
  • Events
    1

Related Links

  • Chen Zhao personal website
  • Google Scholar

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