Ziyun Wang

Orcid: 0000-0002-9803-7949

Affiliations:
  • University of Pennsylvania, GRASP Laboratory, PA, USA


According to our database1, Ziyun Wang authored at least 16 papers between 2018 and 2024.

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Timeline

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Bibliography

2024
EqNIO: Subequivariant Neural Inertial Odometry.
CoRR, 2024

TRAM: Global Trajectory and Motion of 3D Humans from in-the-Wild Videos.
Proceedings of the Computer Vision - ECCV 2024, 2024

Un-EVIMO: Unsupervised Event-Based Independent Motion Segmentation.
Proceedings of the Computer Vision - ECCV 2024, 2024

Track Everything Everywhere Fast and Robustly.
Proceedings of the Computer Vision - ECCV 2024, 2024

Motion-Prior Contrast Maximization for Dense Continuous-Time Motion Estimation.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Un-EvMoSeg: Unsupervised Event-based Independent Motion Segmentation.
CoRR, 2023

Event-based Continuous Color Video Decompression from Single Frames.
CoRR, 2023

M3ED: Multi-Robot, Multi-Sensor, Multi-Environment Event Dataset.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
EV-Catcher: High-Speed Object Catching Using Low-Latency Event-Based Neural Networks.
IEEE Robotics Autom. Lett., 2022

EvAC3D: From Event-Based Apparent Contours to 3D Models via Continuous Visual Hulls.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
EventGAN: Leveraging Large Scale Image Datasets for Event Cameras.
Proceedings of the IEEE International Conference on Computational Photography, 2021

Geodesic-HOF: 3D Reconstruction Without Cutting Corners.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Learning to Generate Cost-to-Go Functions for Efficient Motion Planning.
Proceedings of the Experimental Robotics - The 17th International Symposium, 2020

Surface Hof: Surface Reconstruction From A Single Image Using Higher Order Function Networks.
Proceedings of the IEEE International Conference on Image Processing, 2020

2019
Motion Equivariant Networks for Event Cameras with the Temporal Normalization Transform.
CoRR, 2019

2018
Robustness Meets Deep Learning: An End-to-End Hybrid Pipeline for Unsupervised Learning of Egomotion.
CoRR, 2018


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