most citedReliable Multi-Modal Object Re-Identification via Modality-Aware Graph Reasoning

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cs.CV2026

Mixture of Enhanced-View Experts for Multi-Query Vehicle ReID and A Large-Scale Benchmark

Aihua Zheng, Jie Zhen, Chenglong Li +2

Multi-query vehicle ReID aims to leverage complementary information from diverse views for robust feature learning. However, current methods suffer from simplistic feature fusion a…

cs.CV2026

RefAerial: A Benchmark and Approach for Referring Detection in Aerial Images

Guyue Hu, Hao Song, Yuxing Tong +5

Referring detection refers to locate the target referred by natural languages, which has recently attracted growing research interests. However, existing datasets are limited to gr…

cs.CV2026

DCG ReID: Disentangling Collaboration and Guidance Fusion Representations for Multi-modal Vehicle Re-Identification

Aihua Zheng, Ya Gao, Shihao Li +2

Multi-modal vehicle Re-Identification (ReID) aims to leverage complementary information from RGB, Near Infrared (NIR), and Thermal Infrared (TIR) modalities to retrieve the same ve…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

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…