An Asynchronous Intensity Representation for Framed and Event Video Sources
Author:
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
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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.
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1. Recognizing High-Speed Moving Objects with Spike Camera;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26
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