110 citations · 133 across the 7 of their papers we have counts for
7 papers
ST-FlowNet: An Efficient Spiking Neural Network for Event-Based Optical Flow Estimation
Hongze Sun, Jun Wang, Wuque Cai +6
Spiking Neural Networks (SNNs) have emerged as a promising tool for event-based optical flow estimation tasks due to their ability to leverage spatio-temporal information and low-p…
Reliable Object Tracking by Multimodal Hybrid Feature Extraction and Transformer-Based Fusion
Hongze Sun, Rui Liu, Wuque Cai +6
Visual object tracking, which is primarily based on visible light image sequences, encounters numerous challenges in complicated scenarios, such as low light conditions, high dynam…
A Spatial-channel-temporal-fused Attention for Spiking Neural Networks
Wuque Cai, Hongze Sun, Rui Liu +5
Spiking neural networks (SNNs) mimic brain computational strategies, and exhibit substantial capabilities in spatiotemporal information processing. As an essential factor for human…
A Synapse-Threshold Synergistic Learning Approach for Spiking Neural Networks
Hongze Sun, Wuque Cai, Baoxin Yang +4
Spiking neural networks (SNNs) have demonstrated excellent capabilities in various intelligent scenarios. Most existing methods for training SNNs are based on the concept of synapt…
Two-stage frequency recognition method based on correlated component analysis for SSVEP-based BCI
Yangsong Zhang, Erwei Yin, Fali Li +7
Canonical correlation analysis (CCA) is a state-of-the-art method for frequency recognition in steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) sys…
Heterogeneity of Synaptic Input Connectivity Regulates Spike-based Neuronal Avalanches
Shengdun Wu, Yangsong Zhang, Yan Cui +7
Our mysterious brain is believed to operate near a non-equilibrium point and generate critical self-organized avalanches in neuronal activity. Recent experimental evidence has reve…