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UGG-ReID: Uncertainty-Guided Graph Model for Multi-Modal Object Re-Identification
Xixi Wan, Aihua Zheng, Bo Jiang +3
Multi-modal object Re-IDentification (ReID) has gained considerable attention with the goal of retrieving specific targets across cameras using heterogeneous visual data sources. A…
ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification
Shihao Li, Chenglong Li, Aihua Zheng +2
Multi-spectral object re-identification (ReID) brings a new perception perspective for smart city and intelligent transportation applications, effectively addressing challenges fro…
NEXT: Multi-Grained Mixture of Experts via Text-Modulation for Multi-Modal Object Re-Identification
Shihao Li, Huaibo Huang, Junxian Duan +3
Multi-modal object Re-IDentification (ReID) aims to obtain complete identity features across heterogeneous modalities. However, most existing methods rely on implicit feature fusio…
Collaborative Enhancement Network for Low-quality Multi-spectral Vehicle Re-identification
Aihua Zheng, Yongqi Sun, Zi Wang +2
The performance of multi-spectral vehicle Re-identification (ReID) is significantly degraded when some important discriminative cues in visible, near infrared and thermal infrared…
Reliable Multi-Modal Object Re-Identification via Modality-Aware Graph Reasoning
Xixi Wan, Aihua Zheng, Zi Wang +3
Multi-modal data provides abundant and diverse object information, crucial for effective modal interactions in Re-Identification (ReID) tasks. However, existing approaches often ov…