An Asynchronous Intensity Representation for Framed and Event Video Sources-Reference-Cited by-同舟云学术

An Asynchronous Intensity Representation for Framed and Event Video Sources

Published:2023-06-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 14th Conference on ACM Multimedia Systems
language:
Short-container-title:

Author:

Freeman Andrew C.¹^ORCID,Singh Montek²^ORCID,Mayer-Patel Ketan¹^ORCID

Affiliation:

1. University of North Carolina, Chapel Hill, NC, United States of America

2. University of North Carolina, Chapel Hill, NC, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3587819.3590969

Reference49 articles.

1. Event Probability Mask (EPM) and Event Denoising Convolutional Neural Network (EDnCNN) for Neuromorphic Cameras

2. Time-Ordered Recent Event (TORE) Volumes for Event Cameras

3. A Joint Intensity-Neuromorphic Event Imaging System With Bandwidth-Limited Communication Channel

4. Lossy Event Compression Based On Image-Derived Quad Trees And Poisson Disk Sampling

5. Thomas Barbier , Celine Teuliere , and Jochen Triesch . 2021 . Spike Timing-Based Unsupervised Learning of Orientation, Disparity, and Motion Representations in a Spiking Neural Network . In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. 1377--1386 . Thomas Barbier, Celine Teuliere, and Jochen Triesch. 2021. Spike Timing-Based Unsupervised Learning of Orientation, Disparity, and Motion Representations in a Spiking Neural Network. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. 1377--1386.

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Open Software Suite for Event-Based Video;Proceedings of the ACM Multimedia Systems Conference 2024 on ZZZ;2024-04-15

2. Accelerated Event-Based Feature Detection and Compression for Surveillance Video Systems;Proceedings of the ACM Multimedia Systems Conference 2024 on ZZZ;2024-04-15

3. Recognizing High-Speed Moving Objects with Spike Camera;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26