2 citations · 2 across the 4 of their papers we have counts for
5 papers
DiffReID: Discriminative Diffusion Model for Object Re-Identification
Yingquan Wang, Pingping Zhang, Dong Wang +1
As a fundamental image processing task, object Re-Identification (ReID) aims to retrieve objects across non-overlapping cameras. Recently, with the development of deep learning, si…
Paths: Prompt-aware Spatio-temporal Transformer with Hierarchical Multi-modal Fusion for RGB-Event Video Person Re-Identification
Yakun Huo, Yingquan Wang, Yangyang Liu +4
RGB-Event Video Person Re-Identification (RE-VReID) aims to retrieve specific person across non-overlapping cameras with complementary RGB videos and event streams. However, existi…
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…
Other Tokens Matter: Exploring Global and Local Features of Vision Transformers for Object Re-Identification
Yingquan Wang, Pingping Zhang, Dong Wang +1
Object Re-Identification (Re-ID) aims to identify and retrieve specific objects from images captured at different places and times. Recently, object Re-ID has achieved great succes…
TF-CLIP: Learning Text-free CLIP for Video-based Person Re-Identification
Chenyang Yu, Xuehu Liu, Yingquan Wang +2
Large-scale language-image pre-trained models (e.g., CLIP) have shown superior performances on many cross-modal retrieval tasks. However, the problem of transferring the knowledge…