NeuroZoom: Denoising and Super Resolving Neuromorphic Events and Spikes-Reference-Cited by-同舟云学术

NeuroZoom: Denoising and Super Resolving Neuromorphic Events and Spikes

Published:2023-12 Issue:12 Volume:45 Page:15219-15232
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Duan Peiqi¹^ORCID,Ma Yi¹^ORCID,Zhou Xinyu²^ORCID,Shi Xinyu¹^ORCID,Wang Zihao W.³^ORCID,Huang Tiejun¹^ORCID,Shi Boxin¹^ORCID

Affiliation:

1. National Key Laboratory for Multimedia Information Processing and National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing, China

2. National Key Lab of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University, Beijing, China

3. Northwestern University, Evanston, IL, USA

Funder

National Key R&D Program of China

National Natural Science Foundation of China

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/ielx7/34/10308548/10217052.pdf?arnumber=10217052

Reference71 articles.

1. EvUnroll: Neuromorphic Events based Rolling Shutter Image Correction

2. End-to-End Learning of Representations for Asynchronous Event-Based Data

3. Time Lens: Event-based Video Frame Interpolation

4. Event-Based Asynchronous Sparse Convolutional Networks

5. Neuromorphic Camera Guided High Dynamic Range Imaging

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