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Chaos in Motion: Unveiling Robustness in Remote Heart Rate Measurement through Brain-Inspired Skin Tracking
To address these issues, we regard the remote heart rate measurement as the process of analyzing the spatiotemporal characteristics of the optical flow signal in the video.
Deep Pulse-Coupled Neural Networks
In this work, we leverage a more biologically plausible neural model with complex dynamics, i. e., a pulse-coupled neural network (PCNN), to improve the expressiveness and recognition performance of SNNs for vision tasks.
InvKA: Gait Recognition via Invertible Koopman Autoencoder
Most current gait recognition methods suffer from poor interpretability and high computational cost.
The Butterfly Effect in Primary Visual Cortex
Experimental results on image segmentation indicate that the CCNN model has better performance than the state-of-the-art of visual cortex neural network models.
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