Thanks for the cross-modal retrieval techniques, visible-infrared (RGB-IR) person re-
identification (Re-ID) is achieved by projecting them into a common space, allowing person …

Person re-identification (Re-ID) is an important problem in video surveillance, aiming to
match pedestrian images across camera views. Currently, most works focus on RGB-based …

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 …

Person re-identification (Re-ID) is an important problem in video surveillance for matching
pedestrian images across non-overlapping camera views. Currently, most works focus on …

RGB-Infrared (RGB-IR) cross-modality person re-identification (re-ID) is attracting more and
more attention due to requirements for 24-h scene surveillance. However, the high cost of …

We address the problem of visible-infrared person re-identification (VI-reID), that is,
retrieving a set of person images, captured by visible or infrared cameras, in a cross-modal …

Visible-infrared person re-identification (VI-ReID) is a challenging task due to large cross-
modality discrepancies and intra-class variations. Existing methods mainly focus on learning …

Person re-identification aims at searching pedestrians across different cameras, which is a
key problem in video surveillance. With requirements in night environment, RGB-infrared …

Visible-infrared person re-identification (VI-ReID) is an important task in night-time
surveillance applications, since visible cameras are difficult to capture valid appearance …

The visible-infrared person re-identification (VI-ReID) is a challenging ReID task, which aims
to retrieve and match the same identity's images between the heterogeneous visible and …