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

A Generative AI Integrated Multimodal Framework for Low-Latency Multi-Camera Person Re-Identification

A generative AI integrated multimodal ReID framework designed explicitly for robustness under missing cues and low latency deployment is proposed, with a cost aware early-exit cascade that prioritizes inexpensive, high confidence evidence and only triggers expensive modalities for ambiguous cases.

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

SSGLD: Spatial-Semantic Guided Latent Diffusion for Person Image Synthesis

Existing latent diffusion models (LDMs) for pose-guided person image synthesis (PGPIS) face an inherent trade-off between semantic consistency and texture fidelity. This dilemma stems from their reliance on a single conditioning pathway: semantic guidance is robust but prone to over-smoothing high-frequency details, wh...

Multimodal-guided self-distillation for unified person search.

Person search is challenging due to limitations in identity representation. Existing methods rely on one-hot encoding, ignoring semantic relationships among pedestrians. This leads to a fragmented feature space and reduces generalization ability, especially in large-scale scenarios with a significant proportion of unla...

BMF-DETR: Pseudo-Depth-Guided Bidirectional Multi-Strategy Fusion for End-to-End Object Detection

Transformer-based detectors model long-range context effectively, yet their representations remain dominated by RGB appearance and can become unreliable in cluttered, occluded, or crowded scenes. We present BMF-DETR, a pseudo-depth-guided detector that introduces RGB-derived geometric structure without requiring a dept...

Incentive Noise and Structural Prior Infusion for Multi-modal Object Re-Identification

Multi-modal object Re-Identification (ReID) benefits from complementary information across heterogeneous imaging modalities. To further enrich semantic representation, text descriptions have recently been incorporated as an additional modality. However, recent vision-language approaches often treat text descriptions as...