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 …

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 …

Abstract For Visible-Infrared person Re-IDentification (VI-ReID), existing modality-specific
information compensation based models try to generate the images of missing modality from …

For the visible-infrared person re-identification (VIReID) task, one of the major challenges is
the modality gaps between visible (VIS) and infrared (IR) images. However, the training …

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 …

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 …

Abstract Visible-Infrared Re-Identification (VI-ReID) is challenging in image retrievals. The
modality discrepancy will easily make huge intra-class variations. Most existing methods …

Visible-infrared person re-identification (VI-ReID) is a challenging technology due to the
large gap between daytime visible modality and night-time infrared modality. Previous …

Visible-Infrared Person Re-Identification (VI-ReID) has become an emerging task for night-
time surveillance systems. In order to reduce the cross-modality discrepancy, previous works …