Abstract RGB-Thermal infrared (RGB-T) image analysis has been actively studied in recent
years. In the past decade, it has received wide attention and made a lot of important …

Modern data augmentation using a mixture-based technique can regularize the models from
overfitting to the training data in various computer vision applications, but a proper data …

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) focuses on matching the pedestrian
images of the same identity captured by different modality cameras. The part-based methods …

Unsupervised visible-infrared person re-identification (USL-VI-ReID) is a promising yet
highly challenging retrieval task. The key challenges in USL-VI-ReID are to accurately …

Visible-infrared person re-identification (VI-ReID) has raised more attention in night-time
surveillance applications due to the struggle to capture valid appearance information under …

Visible-infrared person re-identification (VI-ReID) is a challenging cross-modality image
retrieval task. Compared to visible modality person re-identification that handles only the …

Visible-infrared person re-identification (VI-ReID) is a challenging study aimed at retrieving
the same person across cameras, time, and modalities. Existing methods usually employ …

Visible-infrared person re-identification (VI-ReID) aims to match the person images captured
by visible and infrared cameras and suffers from severe cross-modality discrepancy and …