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

  • Published:2022 Issue: Volume: Page:1-15
  • ISSN:2162-237X
  • Container-title:IEEE Transactions on Neural Networks and Learning Systems
  • language:
  • Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Banerjee Srutarshi1ORCID,Chopp Henry H.1ORCID,Zhang Jianping2,Wang Zihao W.2ORCID,Kang Peng3ORCID,Cossairt Oliver3,Katsaggelos Aggelos1ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, USA

2. Department of Computer Science, Northwestern University, Evanston, IL, USA

3. Department of Computer Science and the Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, USA

Funder

Defense Advanced Research Projects Agency

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

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. Coherent Event Guided Low-Light Video Enhancement;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

2. An Asynchronous Intensity Representation for Framed and Event Video Sources;Proceedings of the 14th Conference on ACM Multimedia Systems;2023-06-07

3. A Hybrid Neuromorphic Object Tracking and Classification Framework for Real-Time Systems;IEEE Transactions on Neural Networks and Learning Systems;2023
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