Max W.F. Ku

University of Waterloo; Vector Institute;

I am a first-year PhD student in Computer Science student at the Cheriton School of Computer Science, University of Waterloo, advised by Prof. Wenhu Chen. I work closely with Sun Sun and Prof. Hongyu Guo from National Research Council Canada.

Previously, I earned MMath in Computer Science from University of Waterloo, advised by Prof. Wenhu Chen. Before that, I earned BSc in Internet and Multimedia Technologies from Hong Kong Polytechnic University with first class honor, being advised by Prof. Wan-Chi Siu and Prof. Bonnie N.F. Law. I was the recipient of Undergraduate Research and Innovation Scholarship. I also played in Robotics Team (ABU Robocon) and Game Development Competitions through my undergraduate study.

My research interest covers the following aspects:

  • Build vision models for controllable generation and manipulation
  • Understand the robustness of vision models
  • Develop explainable evaluation metrics for vision tasks
  • Explore Agentic AI in visual understanding and generation

news

Nov 03, 2024 AnyV2V got accepted to TMLR 2024.
Sep 26, 2024 GenAIArena got accepted to NeurIPS 2024! See you in Vancouver!
May 15, 2024 VIEScore got accepted to ACL 2024 Main! See you in Bangkok!
Jan 15, 2024 ImagenHub got accepted to ICLR 2024! See you in Vienna!

latest posts

selected publications

  1. NIPS 2024
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    GenAI Arena: An Open Evaluation Platform for Generative Models
    Dongfu Jiang*, Max Ku*, Tianle Li*, Yuansheng Ni, Shizhuo Sun, and 2 more authors
    2024
  2. TMLR 2024
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    AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Tasks
    Max Ku*, Cong Wei*, Weiming Ren*, Harry Yang, and Wenhu Chen
    Transactions on Machine Learning Research, 2024
  3. ACL 2024
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    VIEScore: Towards Explainable Metrics for Conditional Image Synthesis Evaluation
    Max Ku, Dongfu Jiang, Cong Wei, Xiang Yue, and Wenhu Chen
    In The 62nd Annual Meeting of the Association for Computational Linguistics , 2024
  4. ICLR 2024
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    ImagenHub: Standardizing the evaluation of conditional image generation models
    Max Ku, Tianle Li, Kai Zhang, Yujie Lu, Xingyu Fu, and 2 more authors
    In The Twelfth International Conference on Learning Representations , 2024
  5. TMLR 2023
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    DreamEdit: Subject-driven Image Editing
    Tianle Li, Max Ku*, Cong Wei*, and Wenhu Chen
    Transactions on Machine Learning Research, 2023
  6. ICIP 2023
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    Intelligent Painter: Picture Composition with Resampling Diffusion Model
    Max Ku, Wan-Chi Siu, Xi Cheng, and H. Anthony Chan
    In International Conference on Image Processing , 2023