8 citations · 8 across the 16 of their papers we have counts for
6 papers · 1 filter
CADTrack: Learning Contextual Aggregation with Deformable Alignment for Robust RGBT Tracking
Hao Li, Yuhao Wang, Xiantao Hu +4
RGB-Thermal (RGBT) tracking aims to exploit visible and thermal infrared modalities for robust all-weather object tracking. However, existing RGBT trackers struggle to resolve moda…
Signal: Selective Interaction and Global-local Alignment for Multi-Modal Object Re-Identification
Yangyang Liu, Yuhao Wang, Pingping Zhang
Multi-modal object Re-IDentification (ReID) is devoted to retrieving specific objects through the exploitation of complementary multi-modal image information. Existing methods main…
AG-VPReID 2025: Aerial-Ground Video-based Person Re-identification Challenge Results
Kien Nguyen, Clinton Fookes, Sridha Sridharan +20
Person re-identification (ReID) across aerial and ground vantage points has become crucial for large-scale surveillance and public safety applications. Although significant progres…
SD-ReID: View-aware Stable Diffusion for Aerial-Ground Person Re-Identification
Yuhao Wang, Xiang Hu, Lixin Wang +2
Aerial-Ground Person Re-IDentification (AG-ReID) aims to retrieve specific persons across cameras with different viewpoints. Previous works focus on designing discriminative models…
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…