Zeke Zexi Hu

胡则熙

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I am 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. I am passionate about building AI systems with the latest computer vision (CV) and large language model (LLM) techniques to solve real-world problems.

I received my Ph.D. degree at the University of Sydney in 2025. My research interests were visual tracking and image super-resolution.

Selected Publications

  1. TMM
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    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
    IEEE Transactions on Multimedia, 2026
    arXiv Code IEEE Xplore
  2. SIGGRAPH Asia
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    PhysGest: Transforming Static Textbook Diagrams into Physically Realistic Videos for Enhanced Physics Education
    Xiaowei Dai, Xiangwen Zhang, Qian Zhang, Zeke Zexi Hu, Baotong Qian, and 1 more author
    In SIGGRAPH Asia 2025 Educator’s Forum, 2025
    ACM
  3. TMM
    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
  4. TVCG
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    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
    IEEE Xplore
  5. TCSVT
    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 IEEE Xplore
  6. ICIP
    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 IEEE Xplore