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20172026
most citedScaling Spike-driven Transformer with Efficient Spike Firing Approximation Training

48 citations · 62 across the 12 of their papers we have counts for

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5 papers · 1 filter

cs.CV2025

Temporal-Guided Visual Foundation Models for Event-Based Vision

Ruihao Xia, Junhong Cai, Luziwei Leng +5

Event cameras offer unique advantages for vision tasks in challenging environments, yet processing asynchronous event streams remains an open challenge. While existing methods rely…

cs.CV2025

Threshold Modulation for Online Test-Time Adaptation of Spiking Neural Networks

Kejie Zhao, Wenjia Hua, Aiersi Tuerhong +3

Recently, spiking neural networks (SNNs), deployed on neuromorphic chips, provide highly efficient solutions on edge devices in different scenarios. However, their ability to adapt…

cs.CV202448 cited

Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training

Man Yao, Xuerui Qiu, Tianxiang Hu +7

The ambition of brain-inspired Spiking Neural Networks (SNNs) is to become a low-power alternative to traditional Artificial Neural Networks (ANNs). This work addresses two major c…

cs.CV2023

Weakly-Supervised Action Localization by Hierarchically-structured Latent Attention Modeling

Guiqin Wang, Peng Zhao, Cong Zhao +5

Weakly-supervised action localization aims to recognize and localize action instancese in untrimmed videos with only video-level labels. Most existing models rely on multiple insta…

cs.CV2023

Automotive Object Detection via Learning Sparse Events by Spiking Neurons

Hu Zhang, Yanchen Li, Luziwei Leng +5

Event-based sensors, distinguished by their high temporal resolution of 1 and a dynamic range of 120 , stand out as ideal tools for deployment in fast…