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 …

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 …

Visible-infrared person re-identification (VI-ReID) is a cross-modality retrieval problem,
which aims at matching the same pedestrian between the visible and infrared cameras. Due …

Matching the daytime visible and nighttime infrared person images, namely visible infrared
person re-identification (VI-ReID), is a challenging cross-modality retrieval problem. Due to …

Heterogeneous pedestrian images are captured by visible and infrared cameras with
different spectrums, which play an important role in night-time video surveillance. However …

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 …

Domain adaptation person re-identification (Re-ID) is a challenging task, which aims to
transfer the knowledge learned from the labeled source domain to the unlabeled target …

Visible-infrared person re-identification (VI-ReID) is a challenging task because the different
imaging principles of visible and infrared images bring about huge modality discrepancy …