Capture the Moment: High-speed Imaging with Spiking Cameras through Short-term Plasticity-Reference-Cited by-同舟云学术

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Capture the Moment: High-speed Imaging with Spiking Cameras through Short-term Plasticity

Published:2023 Issue: Volume: Page:1-16
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Zheng Yajing¹^ORCID,Zheng Lingxiao¹,Yu Zhaofei²^ORCID,Huang Tiejun¹^ORCID,Wang Song³^ORCID

Affiliation:

1. National Engineering Laboratory for Video Technology, School of Computer Science, Peking University, Beijing, China

2. Institute for Artificial Intelligence, Peking University, Beijing, China

3. Department of Computer Science and Engineering, University of South Carolina, SC, USA

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

http://xplorestaging.ieee.org/ielx7/34/4359286/10019594.pdf?arnumber=10019594

Reference67 articles.

1. Event-based vision: A survey;gallego,2019

2. Synaptic depression in the localization of sound

3. Activity-driven, event-based vision sensors

4. Dynamic afferent synapses to decision-making networks improve performance in tasks requiring stimulus associations and discriminations

5. Unsupervised Learning of a Hierarchical Spiking Neural Network for Optical Flow Estimation: From Events to Global Motion Perception

Cited by 2 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. Simultaneous Enhancement and Noise Suppression Under Complex Illumination Conditions;IEEE Transactions on Instrumentation and Measurement;2024

2. SpiReco: Fast and Efficient Recognition of High-Speed Moving Objects with Spike Cameras;IEEE Transactions on Circuits and Systems for Video Technology;2023

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