1 citations · 1 across the 7 of their papers we have counts for
9 papers
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…
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…
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…
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…
Flare-Aware Cross-modal Enhancement Network for Multi-spectral Vehicle Re-identification
Aihua Zheng, Zhiqi Ma, Zi Wang +1
Multi-spectral vehicle re-identification aims to address the challenge of identifying vehicles in complex lighting conditions by incorporating complementary visible and infrared in…