Occlusion-Aware Cross-Modality Completion Network for Occluded Visible-Infrared Person Re-Identification

Occluded person re-identification: a taxonomic survey and reproducible empirical benchmark

A unified empirical evaluation on the Market-1501, Occluded-DukeMTMC, and MSMT17 datasets is presented, revealing that latent feature-space refinement and semantic cross-modal alignment offer superior stability, scalability, and robustness compared to explicit pixel-level generation.

Exploring identity misalignment in unsupervised visible-infrared person re-identification

Spatio-Spectral Consistent Learning and Hybrid Local-Global Integration for Visible-Infrared Person Re-identification

Decoupled information-guided cross-modal alignment for visible-infrared person re-identification.

Visible-infrared person re-identification (VI-ReID) is an important technique for around-the-clock person matching, and its primary challenge arises from substantial cross-modal discrepancies. To address this challenge, we propose a Decoupled Information-Guided Cross-Modal Alignment (DIGCA) framework organized into thr...

D 3 F: Diffusion-Driven Dual-Stream Framework for Occluded Person Re-Identification

A novel end-to-end Diffusion-Driven Dual-stream Framework (D 3 F), which seamlessly integrates generative structural priors from Diffusion Transformers (DiT) into vision-language ReID, achieving state-of-the-art (SOTA) performance on both occluded and holistic ReID benchmark datasets.

CMIA-Net: early cross-modal interaction for visible-infrared person re-identification

It is argued that VI-ReID should be treated as an early cross-modal correspondence learning problem rather than only a late embedding alignment problem, and CMIA-Net is proposed, a framework that establishes bidirectional visible-infrared interaction at shallow backbone stages and introduces Spectral-Invariant Augmenta...