14 papers
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…
RAGTrack: Language-aware RGBT Tracking with Retrieval-Augmented Generation
Hao Li, Yuhao Wang, Wenning Hao +3
RGB-Thermal (RGBT) tracking aims to achieve robust object localization across diverse environmental conditions by fusing visible and thermal infrared modalities. However, existing…
STMI: Segmentation-Guided Token Modulation with Cross-Modal Hypergraph Interaction for Multi-Modal Object Re-Identification
Xingguo Xu, Zhanyu Liu, Weixiang Zhou +5
Multi-modal object Re-Identification (ReID) aims to exploit complementary information from different modalities to retrieve specific objects. However, existing methods often rely o…
SAS-VPReID: A Scale-Adaptive Framework with Shape Priors for Video-based Person Re-Identification at Extreme Far Distances
Qiwei Yang, Pingping Zhang, Yuhao Wang +1
Video-based Person Re-IDentification (VPReID) aims to retrieve the same person from videos captured by non-overlapping cameras. At extreme far distances, VPReID is highly challengi…
VReID-XFD: Video-based Person Re-identification at Extreme Far Distance Challenge Results
Kailash A. Hambarde, Hugo Proença, Md Rashidunnabi +18
Person re-identification (ReID) across aerial and ground views at extreme far distances introduces a distinct operating regime where severe resolution degradation, extreme viewpoin…
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…