Zeyun Zhong

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I received the B.Eng. degree in process-, energy- and environmental engineering from Hannover University of Applied Sciences and Arts, in 2018, and the M.Sc. in mechatronics from Leibniz University Hannover, in 2021.

Currently, I am working toward the Ph.D. degree at the Vision and Fusion Laboratory (IES) of Karlsruhe Institute of Technology, in collaboration with Fraunhofer IOSB. My main research interests include deep learning, video understanding, action recognition, and anticipation.

If you are interested in my research projects, please feel free to contact me.

Latest Posts

Selected Publications

  1. diffant.png
    DiffAnt: Diffusion Models for Action Anticipation
    Zeyun Zhong, Chengzhi Wu, Manuel Martin, Michael Voit, Juergen Gall, and Jürgen Beyerer
    arXiv preprint arXiv:2311.15991, 2023
  2. survey.png
    A Survey on Deep Learning Techniques for Action Anticipation
    Zeyun Zhong, Manuel Martin, Michael Voit, Juergen Gall, and Jürgen Beyerer
    arXiv preprint arXiv:2309.17257, 2023
  3. afft.png
    Anticipative Feature Fusion Transformer for Multi-Modal Action Anticipation
    Zeyun Zhong*, David Schneider*, Michael Voit, Rainer Stiefelhagen, and Jürgen Beyerer
    In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023
  4. mixed.png
    Mixed probability models for aleatoric uncertainty estimation in the context of dense stereo matching
    Zeyun Zhong, and Max Mehltretter
    ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021

Professional Services

Reviewer

  • IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
  • International Conference on Robotics and Automation (ICRA), 2024
  • IEEE Robotics and Automation Letters (RAL), 2023
  • International Conference on Intelligent Robots and Systems (IROS), 2022