Visible-infrared cross-modality person re-identification (VI-ReID) is currently a prevalent but
challenging research topic in computer vision, since it can remedy the poor performance of …

Due to the modality gap between visible and infrared images with high visual ambiguity,
learning diverse modality-shared semantic concepts for visible-infrared person re …

Unsupervised visible-infrared person re-identification is a challenging task due to the large
modality gap and the unavailability of cross-modality correspondences. Cross-modality …

Abstract Person Re-Identification (ReID) is an essential technology for matching a person
across non-overlap** cameras. It has attracted increasing attention in recent years due to …

Due to the scarcity of manually annotated data required for fine-grained video
understanding, few-shot fine-grained (FS-FG) action recognition has gained significant …

Daytime visible modality (RGB) and night-time infrared (IR) modality person re-identification
(VI-ReID) is a challenging cross-modality pedestrian retrieval problem. However, training a …

Multispectral object detection has gained significant attention due to its potential in all-
weather applications, particularly those involving visible (RGB) and infrared (IR) images …

This work focuses on the task of Video-based Visible-Infrared Person Re-Identification, a
promising technique for achieving 24-hour surveillance systems. Two main issues in this …

Person Re-identification (ReID) has been extensively developed for a decade in order to
learn the association of images of the same person across non-overlap** camera views …

Gait recognition is a crucial biometric identification technique. Camera-based gait
recognition has been widely applied in both research and industrial fields. LiDAR-based gait …