We performed an electronic database search of published works from 2012 to mid-2021 that
focus on human gait studies and apply machine learning techniques. We identified six key …

In this paper, we study an untouched problem in visible-infrared person re-identification (VI-
ReID), namely, Twin Noise Labels (TNL) which refers to as noisy annotation and …

Thanks for the cross-modal retrieval techniques, visible-infrared (RGB-IR) person re-
identification (Re-ID) is achieved by projecting them into a common space, allowing person …

Although person re-identification has achieved an impressive improvement in recent years,
the common occlusion case caused by different obstacles is still an unsettled issue in real …

Person re-identification (Re-ID) is an application of video surveillance and has become
popular among Computer Vision and Image processing research communities since last …

Visible-infrared person re-identification (VI-ReID) is a challenging task due to the large cross-
modality discrepancies and intra-class variations. Existing works mainly focus on learning …

In real world, training data for person re-identification (Re-ID) is collected discretely with
spatial and temporal variations, which requires a model to incrementally learn new …

Since human-labeled samples are free for the target set, unsupervised person re-
identification (Re-ID) has attracted much attention in recent years, by additionally exploiting …

Visible-infrared person re-identification (VI-ReID) is challenging due to the large modality
discrepancy between visible and infrared images. Existing methods mainly focus on …

Image-to-video person re-identification aims to retrieve the same pedestrian as the image-
based query from a video-based gallery set. Existing methods treat it as a cross-modality …