Johns Hopkins University SPIKE Lab Electrical & Computer Engineering

Publications

See Google Scholar for citations and the most up-to-date list.

2026

TRACE: Ergodic Trajectory Optimization for Active Scene Reconstruction

Ziyue Zheng*, Linli Shi*, Bingkun He, Wen Jiang, Ziyun Wang

arXiv preprint, 2026

EVIS: A Physics-Grounded Event Camera Plugin for NVIDIA Isaac Sim

Linli Shi, Ruijun (Rex) Zhang, Ziyun Wang

Open-source software, 2026

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

2025

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

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

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

2024

Un-EVIMO: Unsupervised Event-based Independent Motion Segmentation

Ziyun Wang, Jinyuan Guo, Kostas Daniilidis

European Conference on Computer Vision (ECCV), 2024

Motion-prior Contrast Maximization for Dense Continuous-Time Motion Estimation

Friedhelm Hamann, Ziyun Wang, Ioannis Asmanis, Kenneth Chaney, Guillermo Gallego, Kostas Daniilidis

European Conference on Computer Vision (ECCV), 2024

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

Track Everything Everywhere Fast and Robustly

Yunzhou Song*, Jiahui Lei*, Ziyun Wang, Lingjie Liu, Kostas Daniilidis

European Conference on Computer Vision (ECCV), 2024

2023

M3ED: Multi-Robot, Multi-Sensor, Multi-Environment Event Dataset

Kenneth Chaney*, Fernando Cladera*, Ziyun Wang, Anthony Bisulco, M. Ani Hsieh, Christopher Korpela, Vijay Kumar, Camillo J. Taylor, Kostas Daniilidis

Conference on Computer Vision and Pattern Recognition (CVPR), Event-based Vision Workshop, 2023

2022

EvAC3D: From Event-Based Apparent Contours to 3D Models via Continuous Visual Hulls

Ziyun Wang*, Kenneth Chaney*, Kostas Daniilidis

European Conference on Computer Vision (ECCV), 2022 Oral · top 2.7% of papers

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

2021

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

Geodesic-HOF: 3D Reconstruction Without Cutting Corners

Ziyun Wang, Eric Mitchell, Volkan Isler, Daniel D. Lee

AAAI Conference on Artificial Intelligence, 2021

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 (ISER), 2021

2020

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

2019

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

Motion Equivariant Networks for Event Cameras with the Temporal Normalization Transform

Alex Zhu, Ziyun Wang, Kostas Daniilidis

arXiv preprint, 2019

* Equal contribution