Mar 26, 2024 · Visible-Infrared Person Re-identification (VI-ReID) is a challenging cross-modal pedestrian retrieval task, due to significant intra-class variations and ...

Dec 5, 2023 · This paper proposes a specific and shared representations learning (SSRL) model for VI-ReID to mitigate the discrepancy between heterogeneous pedestrian images ...

Jun 11, 2024 · Unsupervised visible-infrared person re-identification. (US-VI-ReID) centers on learning a cross-modality re- trieval model without labels, reducing the ...

Nov 3, 2024 · Unsupervised visible-infrared person re-identification (USL-VI-ReID) aims to match pedestrian images of the same identity from different modalities without ...

Feb 15, 2024 · Our paper designs a method based on dual attention enhancement features to use shallow and deep features simultaneously.

Jun 23, 2024 · A novel framework, named Dual-Semantic Consistency Learning Network (DSCNet), which attributes modality discrepancy to channel-level semantic inconsistency, ...

Mar 20, 2024 · To improve the corruption robustness in visible-infrared scenes, we propose a corruption-robust VI-ReID framework called Polymorphic. Masked Wavelet Graph ...

Apr 24, 2024 · Dynamic tri-level relation mining with attentive graph for visible infrared re-identification. ... Visible-infrared person re-identification via homogeneous ...

Jul 15, 2024 · Visible infrared person re-identification plays an important role in heterogeneous modality image person ... homogeneous shared features, separate heterogeneous ...

Jun 15, 2024 · Unsupervised visible-infrared person re-identification (US-VI-ReID) aims at learning a cross-modality matching model under unsupervised conditions, which is an ...