Abstract Visible-Infrared Person Re-Identification (VI-ReID) is a challenging retrieval task
under complex modality changes. Existing methods usually focus on extracting …

Visible-Infrared person re-identification (VI-ReID) aims to match cross-modality pedestrian
images, breaking through the limitation of single-modality person ReID in dark environment …

Visible thermal person re-identification (VT-REID) is an important and challenging task in
that 1) weak lighting environments are inevitably encountered in real-world settings and 2) …

Visible-infrared person re-identification (VI-ReID) aims to match a specific person from a
gallery of images captured from non-overlapping visible and infrared cameras. Most works …

RGB-Infrared (IR) person re-identification is very challenging due to the large cross-modality
variations between RGB and IR images. Considering no correspondence labels between …

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 …

Visible-infrared person re-identification (VI Re-ID) is designed to match person images of the
same identity from visible and infrared cameras. Transformer structures have been …

Large-scale Vision-Language Pre-training (VLP) model, eg, CLIP, has demonstrated its
natural advantage in generating textual descriptions for images. These textual descriptions …

Existing person re-identification has achieved great progress in the visible domain,
capturing all the person images with visible cameras. However, in a 24-hour intelligent …

Video-based person re-identification (Re-ID) aims to automatically retrieve video sequences
of the same person under non-overlapping cameras. To achieve this goal, it is the key to …