Gait recognition is an appealing biometric modality which aims to identify individuals based
on the way they walk. Deep learning has reshaped the research landscape in this area …

With the rapid development of Internet-of-Things (IoT) devices and mobile communication
technologies, Multi-access Edge Computing (MEC) has emerged as a promising paradigm …

The key to address clothes-changing person re-identification (re-id) is to extract clothes-
irrelevant features, eg, face, hairstyle, body shape, and gait. Most current works mainly focus …

In this paper, we are interested in the bottom-up paradigm of estimating human poses from
an image. We study the dense keypoint regression framework that is previously inferior to …

Existing studies for gait recognition are dominated by 2D representations like the silhouette
or skeleton of the human body in constrained scenes. However, humans live and walk in the …

Gait benchmarks empower the research community to train and evaluate high-performance
gait recognition systems. Even though growing efforts have been devoted to cross-view …

Gait recognition, applied to identify individual walking patterns in a long-distance, is one of
the most promising video-based biometric technologies. At present, most gait recognition …

Although gait recognition has drawn increasing research attention recently, it remains
challenging to learn discriminative temporal representation since the silhouette differences …

Gait recognition is a promising video-based biometric for identifying individual walking
patterns from a long distance. At present, most gait recognition methods use silhouette …

Visible-infrared person re-identification (VI-ReID) is an important task in night-time
surveillance applications, since visible cameras are difficult to capture valid appearance …