Ziyun (Claude) Wang

Ziyun (Claude) Wang

I am an Assistant Professor in the Department of Electrical and Computer Engineering at Johns Hopkins University, where I lead the SPIKE Lab. My research sits at the intersection of computer vision, robotics, and neuromorphic computing, with a focus on event-based, continuous-time perception—building systems that see and act at the speed of the physical world. I received my Ph.D. from the GRASP Laboratory at the University of Pennsylvania, where I was advised by Kostas Daniilidis.

Email / CV / Google Scholar / X

Announcements

I joined the Department of Electrical and Computer Engineering at Johns Hopkins University as an Assistant Professor.

I am currently recruiting Ph.D. students for Spring and Fall 2026. If you're interested in real-time perception, learning for robotics, or neuromorphic computing, please email me at claude.w@jhu.edu with the subject line:

[PhD Application 2026] Your Name

Please include your CV, transcript (unofficial is fine), and a short statement of interest or description of your research background.

News & Updates

[08/06/2026] We released TRACE, the first trajectory-level ergodic formulation for active Gaussian scene reconstruction, deployed on real robots. Code is available!
[07/13/2026] I am serving as an Area Chair for WACV 2027.
[07/07/2026] We released Isaac Sim Event Simulator v1.0, a physics-grounded, high-rate event camera plugin for NVIDIA Isaac Sim!
[07/02/2026] Our paper "Match-Any-Events" has been accepted to ECCV 2026! The first generalizable matching model with events.
[06/29/2026] I co-organized the Telluride Neuromorphic AI Workshop.
[03/2026] Our ICRA 2026 workshop, "Challenges and Opportunities of Neuromorphic Field Robotics and Automation", has been accepted and will take place on June 5 in Vienna!
[11/12/2025] I gave a talk at Worcester Polytechnic Institute.
[11/06/2025] I served as a panelist at the Physical Intelligence Initiative (PI²) Workshop, University of Delaware.
[07/31/2025] Our paper "Continuous-Time Human Motion Field from Event Cameras" has been accepted at ICCV 2025! See you in Hawaii!
[03/30/2025] Our paper "Event-based Continuous Color Video Decompression" will appear in CVPR 2025 Workshop on Event-based Vision.
[01/22/2025] Our paper about equivariant neural IMU is accepted at ICLR 2025!
[01/16/2025] I will give a lightning talk about event-based human motion field at NYC Computer Vision Day 2025.
[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" was selected as an 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.

	TRACE: Ergodic Trajectory Optimization for Active Scene Reconstruction Ziyue Zheng, Linli Shi, Bingkun He, Wen Jiang, Ziyun Wang arXiv preprint, 2026 Paper / Code / Video The first trajectory-level ergodic formulation for active Gaussian scene reconstruction. Footprint-aware ergodic search gains +1.5 dB PSNR over baselines and runs directly on real robots, including the Unitree GO2 and Franka FR3.
	EVIS: A Physics-Grounded Event Camera Plugin for NVIDIA Isaac Sim Linli Shi, Ruijun (Rex) Zhang, Ziyun Wang Open-source software, 2026 Technical report / Code High-rate event camera simulation accelerated by motion-vector frame interpolation, with HDR support, sensor noise models, motion blur, and tools for downstream training.
	Match-Any-Events: Zero-Shot Motion-Robust Feature Matching Across Wide Baselines for Event Cameras Ruijun (Rex) Zhang, Hang Su, Kostas Daniilidis, Ziyun Wang European Conference on Computer Vision (ECCV), 2026 Paper / Code
	Continuous-Time Human Motion Field from Event Cameras Ziyun Wang, Ruijun Zhang, Zi-Yan Liu, Yufu Wang, Kostas Daniilidis International Conference on Computer Vision (ICCV), 2025 Project page / Paper / Code
	EqNIO: Subequivariant Neural Inertial Odometry Royina Karegoudra Jayanth, Yinshuang Xu, Ziyun Wang_, Evangelos Chatzipantazis, Kostas Daniilidis Daniel Gehrig International Conference on Learning Representations (ICLR) 2025 Paper / Code
	Event-based Continuous Color Video Decompression from Single Frames Ziyun Wang, Friedhelm Hamann, Kenneth Chaney, Wen Jiang, Guillermo Gallego, Kostas Daniilidis Conference on Computer Vision and Pattern Recognition (CVPR), Event-based Vision Workshop 2025 Project page / 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 / Code
	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 / Code
	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 / Code
	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 / Code
	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 / Code
	EV-Catcher: High-Speed Object Catching Using Low-Latency Event-Based Neural Networks Ziyun Wang, Fernando Cladera, Anthony Bisulco, Daewon Lee, Camillo J Taylor, Kostas Daniilidis, M Ani Hsieh , Daniel D Lee, Volkan Isler IEEE Robotics and Automation Letters (RA-L), 2022 Project page / 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 / Code
	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