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.

Email / CV / Scholar / X

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.

	TRAM: Global Trajectory and Motion of 3D Humans from in-the-wild Videos Yufu Wang, Ziyun Wang, Lingjie Liu, Kostas Daniilidis project page / Paper
	Track Everything Everywhere Fast and Robustly Yunzhou Song, JiahuiLei, Ziyun Wang, Lingjie Liu, Kostas Daniilidis 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
	Un-EvMoSeg: Unsupervised Event-based Independent Motion Segmentation Ziyun Wang, Jinyuan Guo, 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