4 citations · 6 across the 6 of their papers we have counts for
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Harmonizing and Merging Source Models for CLIP-based Domain Generalization
Yuhe Ding, Jian Liang, Bo Jiang +3
CLIP-based domain generalization aims to improve model generalization to unseen domains by leveraging the powerful zero-shot classification capabilities of CLIP and multiple source…
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…
Dynamic Enhancement Network for Partial Multi-modality Person Re-identification
Aihua Zheng, Ziling He, Zi Wang +2
Many existing multi-modality studies are based on the assumption of modality integrity. However, the problem of missing arbitrary modalities is very common in real life, and this p…
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…
Parallel Augmentation and Dual Enhancement for Occluded Person Re-identification
Zi Wang, Huaibo Huang, Aihua Zheng +2
Occluded person re-identification (Re-ID), the task of searching for the same person's images in occluded environments, has attracted lots of attention in the past decades. Recent…