48 citations · 144 across the 21 of their papers we have counts for
5 papers · 1 filter
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…
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…
Efficient Deep Spiking Multi-Layer Perceptrons with Multiplication-Free Inference
Boyan Li, Luziwei Leng, Shuaijie Shen +4
Advancements in adapting deep convolution architectures for Spiking Neural Networks (SNNs) have significantly enhanced image classification performance and reduced computational bu…
Accurate and Efficient Event-based Semantic Segmentation Using Adaptive Spiking Encoder-Decoder Network
Rui Zhang, Luziwei Leng, Kaiwei Che +5
Spiking neural networks (SNNs), known for their low-power, event-driven computation and intrinsic temporal dynamics, are emerging as promising solutions for processing dynamic, asy…
Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation
Yushun Tang, Ce Zhang, Heng Xu +5
Fully test-time adaptation aims to adapt the network model based on sequential analysis of input samples during the inference stage to address the cross-domain performance degradat…