Ziyun (Claude) Wang

I'm a Ph.D. student at the GRASP Laboratory at the University of Pennsylvania. I'm advised by Professor Kostas Daniilidis. I received my B.S. in Computer Science from Rice University and M.S.E in Robotics from Penn. Previously, I was a research intern at Samsung AI Center New York, where I worked with Professors Sebastian Seung, Daniel Lee, and Volkan Isler. I did my most recent internship at the Apple Vision Product team, working on the Vision Pro.

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News & Updates

  • [09/30/2024] I am selected as one of the outstanding reviewers for ECCV 2024.
  • [08/23/2024] I finished my internship with the Vision Product Group at Apple.
  • [07/03/2024] Four papers accepted to ECCV 2024. See you in Milan!
  • [06/18/2023] Our new dataset M3ED is presented at the CVPR event vision workshop.
  • [07/12/2022] "EV-Catcher: High-Speed Object Catching Using Low-latency Event-based Neural Networks" is accepted at RA-L.
  • [07/08/2022] EvAC3D: From Event-Based Apparent Contours to 3D Models via Continuous Visual Hulls" is selected as Oral Presentation at ECCV 2022. See you in Tel Aviv!
  • Research

    My main research interests are event-based vision, 3D computer vision and robotics. In particular, I work on motion and scene understanding of highly dynamic scenes. My research projects range from fundamental geometry problems in event-based vision to applications of the event sensors in real robots.

    EqNIO: Subequivariant Neural Inertial Odometry
    Royina Karegoudra Jayanth* Yinshuang Xu* Ziyun Wang, Evangelos Chatzipantazis, Daniel Gehrig, Kostas Daniilidis

    Paper

    Un-EVIMO: Unsupervised Event-based Independent Motion Segmentation
    Ziyun Wang, Jinyuan Guo, Kostas Daniilidis
    European Conference on Computer Vision (ECCV), 2024
    project page / Paper

    Motion-prior Contrast Maximization for Dense Continuous-Time Motion Estimation
    Friedhelm Hamman, Ziyun Wang, Ioannis Asmanis, Kenneth Chaney, Guillermo Gallego, Kostas Daniilidis
    European Conference on Computer Vision (ECCV), 2024
    project page / Paper

    TRAM: Global Trajectory and Motion of 3D Humans from in-the-wild Videos
    Yufu Wang, Ziyun Wang, Lingjie Liu, Kostas Daniilidis
    European Conference on Computer Vision (ECCV), 2024
    project page / Paper

    Track Everything Everywhere Fast and Robustly
    Yunzhou Song*, JiahuiLei*, Ziyun Wang, Lingjie Liu, Kostas Daniilidis
    European Conference on Computer Vision (ECCV), 2024
    project page / Paper

    Event-based Continuous Color Video Decompression from Single Frames
    Ziyun Wang, Friedhelm Hamann, Kenneth Chaney, Wan Jiang, Guillermo Gallego, Kostas Daniilidis

    project page / Paper

    M3ED: Multi-Robot, Multi-Sensor, Multi-Environment Event Dataset
    Kenneth Channey*, Fernando Cladera*, Ziyun Wang, Anthony Bisulco, M Ani Hsieh, Christopher Korpela, Vijay Kumar, Camillo J Taylor, Kostas Daniilidis
    Event-based Vision Workshop, CVPR 2023
    project page / paper

    EvAC3D: From Event-Based Apparent Contours to 3D Models via Continuous Visual Hulls
    Ziyun Wang*, Kenneth Channey*, Kostas Daniilidis
    European Conference on Computer Vision (ECCV), 2022 (Oral Presentation, 2.7% Top Papers)
    project page / Paper

    EV-Catcher: High-Speed Object Catching Using Low-Latency Event-Based Neural Networks
    Ziyun Wang*, Fernando Cladera*, Anthony Bisculco, Daewon Lee, Camillo J Taylor, Kostas Daniilidis, M Ani Hsieh , Daniel D Lee , Volkan Isler
    IEEE Robotics and Automation Letters (RA-L), 2022
    Paper

    Eventgan: Leveraging large scale image datasets for event cameras
    Alex Zhu, Ziyun Wang, Kaung Khant, Kostas Daniilidis,
    IEEE International Conference on Computational Photography (ICCP), 2021
    Paper

    Learning to generate cost-to-go functions for efficient motion planning
    Jinwook Huh, Galen Xing, Ziyun Wang, Volkan Isler, Daniel D. Lee
    Experimental Robotics: The 17th International Symposium, 2021
    Paper

    Surface HOF: Surface Reconstruction from a Single Image Using Higher Order Function Networks
    Ziyun Wang, Volkan Isler, Daniel D. Lee
    IEEE International Conference on Image Processing (ICIP), 2020
    Paper

    Geodesic-HOF: 3D Reconstruction Without Cutting Corners
    Ziyun Wang, Eric Mitchell, Volkan Isler, Daniel D. Lee
    AAAI Conference on Artificial Intelligence, 2021
    Paper

    Motion Equivariant Networks for Event Cameras with the Temporal Normalization Transform
    Alex Zhu, Ziyun Wang, Kostas Daniilidis

    Paper

    Robustness Meets Deep Learning: An End-to-End Hybrid Pipeline for Unsupervised Learning of Egomotion
    Alex Zhu, Wenxin Liu, Ziyun Wang, Vijay Kumar, Kostas Daniilidis
    Workshop on Deep Learning for Semantic Visual Navigation, CVPR 2019
    Paper