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Guangshe Zhao

2 accepted papers

2023

Inherent Redundancy in Spiking Neural Networks

ICCV 2023poster

Spiking Neural Networks (SNNs) are well known as a promising energy-efficient alternative to conventional artificial neural networks. Subject to the preconceived impression that SNNs are sparse firing, the analysis and optimization of inherent redundancy in SNNs have been largely overlooked, thus th…

Cited by 26PDFcodeScholar
2021

Temporal-Wise Attention Spiking Neural Networks for Event Streams Classification

ICCV 2021poster

How to effectively and efficiently deal with spatio-temporal event streams, where the events are generally sparse and non-uniform and have the us temporal resolution, is of great value and has various real-life applications. Spiking neural network (SNN), as one of the brain-inspired event-triggered…

Cited by 224PDFScholar