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Yiyang Su

I am a Ph.D. student in Computer Vision Lab (CVLab) at Michigan State University advised by Dr. Xiaoming Liu. My research is mostly focused on open-set recognition and video understanding. In summer 2025, I worked as an Applied Scientist Intern at AWS AI Labs with Drs. Xiang Xu, Zheng Zhang, Chang Liu, Zhuowen Tu, Anil Jain, and Jon Wu. Prior to joining MSU, I received my Bachelor of Science degrees from the University of Rochester, where I also had the opportunity to work with Dr. Chenliang Xu and Dr. Yapeng Tian on audio-visual sound separation.

News

Jun, 2025 Two papers are accepted to ICCV 2025.
Feb, 2025 Our paper on human recognition foundation model is accepted to CVPR 2025.
Jul, 2024 Our paper on open-set biometrics is accepted to ECCV 2024.
Mar, 2024 Our paper on keypoint relative position encoding is accepted to CVPR 2024.
Sep, 2023 Our paper on ChatGPT-powered hierarchical comparisons for image classification is accepted to NeurIPS 2023.

Publications

2025

  1. qme.png
    A Quality-Guided Mixture of Score-fusion Experts Framework for Human Recognition
    Jie Zhu, Yiyang Su, Minchul Kim, and 2 more authors
    In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2025
  2. hamobe.png
    HAMoBE: Hierarchical and Adaptive Mixture of Biometric Experts for Video-based Person ReID
    Yiyang Su, Yunping Shi, Feng Liu, and 1 more author
    In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2025
  3. sapiensid.png
    SapiensID: Foundation for Human Recognition
    Minchul Kim, Dingqiang Ye, Yiyang Su, and 2 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025

2024

  1. open_set_biom.png
    Open-Set Biometrics: Beyond Good Closed-Set Models
    Yiyang Su, Minchul Kim, Feng Liu, and 2 more authors
    In European Conference on Computer Vision (ECCV), 2024
  2. kprpe.png
    KeyPoint Relative Position Encoding for Face Recognition
    Minchul Kim, Yiyang Su, Feng Liu, and 2 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
  3. farsight.jpg
    FarSight: A Physics-Driven Whole-Body Biometric System at Large Distance and Altitude
    Feng Liu, Ryan Ashbaugh, Nicholas Chimitt, and 17 more authors
    In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024

2023

  1. hierarchal_comp.jpg
    ChatGPT-Powered Hierarchical Comparisons for Image Classification
    Zhiyuan Ren, Yiyang Su, and Xiaoming Liu
    In Advances in Neural Information Processing Systems (NeurIPS), 2023
  2. avsa_sep.jpg
    Separating Invisible Sounds Toward Universal Audio-Visual Scene-Aware Sound Separation
    Yiyang Su, Ali Vosoughi, Shijian Deng, and 2 more authors
    In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2023