Multispectral object detection based on RGB and IR achieves improved accurate and robust
performance by integrating complementary information from different modalities. However …

The Visible-Infrared Person Re-identification (VI ReID) aims to match visible and infrared
images of the same pedestrians across non-overlapped camera views. These two input …

Visible–infrared person re-identification (VI Re-ID) is an essential and challenging task.
Existing studies mainly focus on learning the unified modality-invariant representations …

Cross-modality person re-identification (ReID) is a challenging task that aims to match cross-
modality pedestrian images across multiple camera views. Existing methods are tailored to …

The key of visible-infrared person re-identification (VIReID) lies in how to minimize the
modality discrepancy between visible and infrared images. Existing methods mainly exploit …

The visible-infrared person re-identification (VI-ReID) task is challenging in image retrievals
because of the modality gaps between visible and infrared images. Different from the most …

Visible-infrared person re-identification (VI-ReID) is a challenging task in computer vision
due to the substantial modality gaps between visible and infrared images. The currently …

Visible-infrared person re-identification (VI-ReID) is a cross-modality retrieval task that aims
to match visible and infrared pedestrian images across non-overlapped cameras. However …

Visible–infrared person re-identification (VI-ReID) is a challenging retrieval task, which aims
to match the same pedestrian between visible and infrared modalities. Most existing works …

Visible-infrared person re-identification, which combines visible light and thermal imaging
data, provides more comprehensive and accurate monitoring capabilities under various …