8 citations · 8 across the 16 of their papers we have counts for
16 papers
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…
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…
Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification
Yuhao Wang, Pingping Zhang, Xuehu Liu +2
Person Re-identification (ReID) aims to retrieve the specific person across non-overlapping cameras, which greatly helps intelligent transportation systems. As we all know, Convolu…
MambaPro: Multi-Modal Object Re-Identification with Mamba Aggregation and Synergistic Prompt
Yuhao Wang, Xuehu Liu, Tianyu Yan +4
Multi-modal object Re-IDentification (ReID) aims to retrieve specific objects by utilizing complementary image information from different modalities. Recently, large-scale pre-trai…
DeMo: Decoupled Feature-Based Mixture of Experts for Multi-Modal Object Re-Identification
Yuhao Wang, Yang Liu, Aihua Zheng +1
Multi-modal object Re-IDentification (ReID) aims to retrieve specific objects by combining complementary information from multiple modalities. Existing multi-modal object ReID meth…
Sigma: Siamese Mamba Network for Multi-Modal Semantic Segmentation
Zifu Wan, Pingping Zhang, Yuhao Wang +4
Multi-modal semantic segmentation significantly enhances AI agents' perception and scene understanding, especially under adverse conditions like low-light or overexposed environmen…
Magic Tokens: Select Diverse Tokens for Multi-modal Object Re-Identification
Pingping Zhang, Yuhao Wang, Yang Liu +2
Single-modal object re-identification (ReID) faces great challenges in maintaining robustness within complex visual scenarios. In contrast, multi-modal object ReID utilizes complem…
TOP-ReID: Multi-spectral Object Re-Identification with Token Permutation
Yuhao Wang, Xuehu Liu, Pingping Zhang +3
Multi-spectral object Re-identification (ReID) aims to retrieve specific objects by leveraging complementary information from different image spectra. It delivers great advantages…