Zeke Zexi Hu

胡则熙

profile.jpg

I am currently a Ph.D. candidate at the University of Sydney, supervised by Prof. Vera Yuk Ying Chung. My research interests lie in visual tracking and image super-resolution. I am passionate about building AI systems with the latest computer vision (CV) and natural language processing (NLP) techniques to solve real-world problems.

I am also an AI software engineer at Unleash live, a pioneering Australian AI startup, where I build AI-powered systems for various exciting industries, including mining, renewable energy, traffic management, and more.

Selected Publications

  1. SkimLFSR.jpg
    Less is More: Skim Transformer for Light Field Image Super-resolution
    Zeke Zexi Hu, Haodong Chen, Hui Ye, Xiaoming Chen, Vera Yuk Ying Chung, and 2 more authors
    arXiv, 2025
    arXiv
  2. M2MT-Net.jpg
    Beyond Subspace Isolation: Many-to-Many Transformer for Light Field Image Super-resolution
    Zeke Zexi Hu, Xiaoming Chen, Vera Yuk Ying Chung, and Yiran Shen
    IEEE Transactions on Multimedia, 2024
    arXiv Code
  3. Video2Haptics.jpg
    Video2Haptics: Converting video motion to dynamic haptic feedback with bio-inspired event processing
    Xiaoming Chen, Zeke Zexi Hu, Guangxin Zhao, Haisheng Li, Vera Chung, and 1 more author
    IEEE Transactions on Visualization and Computer Graphics, 2024
    Website
  4. MTM.jpg
    Unifying temporal context and multi-feature with update-pacing framework for visual tracking
    Yuefang Gao, Zexi Hu, Henry Wing Fung Yeung, Yuk Ying Chung, Xuhong Tian, and 1 more author
    IEEE Transactions on Circuits and Systems for Video Technology, 2019
    Code Website
  5. MTS.jpg
    A universal update-pacing framework for visual tracking
    Zexi Hu, Yuefang Gao, Dong Wang, and Xuhong Tian
    In 2016 IEEE International Conference on Image Processing (ICIP), 2016
    arXiv Code Website