10 papers
Interactive Spatial-Frequency Fusion Mamba for Multi-Modal Image Fusion
Yixin Zhu, Long Lv, Pingping Zhang +5
Multi-Modal Image Fusion (MMIF) aims to combine images from different modalities to produce fused images, retaining texture details and preserving significant information. Recently…
X-ReID: Multi-granularity Information Interaction for Video-Based Visible-Infrared Person Re-Identification
Chenyang Yu, Xuehu Liu, Pingping Zhang +1
Large-scale vision-language models (e.g., CLIP) have recently achieved remarkable performance in retrieval tasks, yet their potential for Video-based Visible-Infrared Person Re-Ide…
Spatial-Frequency Enhanced Mamba for Multi-Modal Image Fusion
Hui Sun, Long Lv, Pingping Zhang +4
Multi-Modal Image Fusion (MMIF) aims to integrate complementary image information from different modalities to produce informative images. Previous deep learning-based MMIF methods…
What Makes You Unique? Attribute Prompt Composition for Object Re-Identification
Yingquan Wang, Pingping Zhang, Chong Sun +2
Object Re-IDentification (ReID) aims to recognize individuals across non-overlapping camera views. While recent advances have achieved remarkable progress, most existing models are…
IDEA: Inverted Text with Cooperative Deformable Aggregation for Multi-modal Object Re-Identification
Yuhao Wang, Yongfeng Lv, Pingping Zhang +1
Multi-modal object Re-IDentification (ReID) aims to retrieve specific objects by utilizing complementary information from various modalities. However, existing methods focus on fus…
LATex: Leveraging Attribute-based Text Knowledge for Aerial-Ground Person Re-Identification
Pingping Zhang, Xiang Hu, Yuhao Wang +1
As an important task in intelligent transportation systems, Aerial-Ground person Re-IDentification (AG-ReID) aims to retrieve specific persons across heterogeneous cameras in diffe…