Person search detects and retrieves simultaneously a query person across uncropped
scene images captured by multiple non-overlapping cameras. In light of the deep learning …

Silhouette is an effective modality in video-based person re-identification (ReID) since it
contains features (eg, stature and gait) complementary to the RGB modality. However …

Video summarization, with the target to detect valuable segments given untrimmed videos, is
a meaningful yet understudied topic. Previous methods primarily consider inter-frame and …

The recent wave of foundation models has witnessed tremendous success in computer
vision (CV) and beyond, with the segment anything model (SAM) having sparked a passion …

Person re-identification (ReID) aims to find the person of interest across multiple non-
overlapping cameras. It is considered an essential step for person tracking applications …

The study in the gait field has rarely paid attention to the class-imbalanced learning, while
the realistic data always exhibits an imbalanced distribution. The main reason lies in the …

Dynamic hand gesture authentication aims to recognize users' identity through the
characteristics of their hand gestures. How to extract favorable features for verification is the …

Cross-domain person re-identification is challenging due to the notorious domain shift
problem. Most of the existing unsupervised cross-domain person ReID methods require a …

Gait analysis is essential for evaluating the gait patterns of individuals and for diagnosing
and treating conditions such as multiple sclerosis and Parkinson's disease. However …