Gait recognition aims to identify a person at a distance, serving as a promising solution for
long-distance and less-cooperation pedestrian recognition. Recently, significant advances …

Prompt learning has attracted broad attention in computer vision since the large pre-trained
vision-language models (VLMs) exploded. Based on the close relationship between vision …

Current gait recognition systems employ different types of manual attention mechanisms,
like horizontal crop** of the input data to guide the training process and extract useful gait …

Gait recognition is a prominent biometric recognition technique extensively employed in
public security. Appearance-based and model-based gait recognition are two categories of …

Most conventional crowd counting methods utilize a fully-supervised learning framework to
establish a map** between scene images and crowd density maps. They usually rely on a …

Gait recognition is a biometric technology that distinguishes individuals by analyzing their
walking patterns and holds significant potential for development. Current methods primarily …