7 papers
Dual-Space Modality Consistency Learning for Universal Cross-Modal Re-Identification
Yujian Zhao, Yukang Zhao, Hankun Liu +4
Cross-modal Re-Identification (ReID) aims to retrieve the same identity across heterogeneous imaging modalities and has been widely studied in visible-infrared person ReID and cros…
Towards Robust Text-to-Image Person Retrieval: Multi-View Reformulation for Semantic Compensation
Chao Yuan, Yujian Zhao, Haoxuan Xu +1
In text-to-image person retrieval tasks, the diversity of natural language expressions and the implicitness of visual semantics often lead to the problem of Expression Drift, where…
CMCC-ReID: Cross-Modality Clothing-Change Person Re-Identification
Haoxuan Xu, Hanzi Wang, Guanglin Niu
Person Re-Identification (ReID) faces severe challenges from modality discrepancy and clothing variation in long-term surveillance scenario. While existing studies have made signif…
BIT: Matching-based Bi-directional Interaction Transformation Network for Visible-Infrared Person Re-Identification
Haoxuan Xu, Guanglin Niu
Visible-Infrared Person Re-Identification (VI-ReID) is a challenging retrieval task due to the substantial modality gap between visible and infrared images. While existing methods…
Modality-Transition Representation Learning for Visible-Infrared Person Re-Identification
Chao Yuan, Zanwu Liu, Guiwei Zhang +4
Visible-infrared person re-identification (VI-ReID) technique could associate the pedestrian images across visible and infrared modalities in the practical scenarios of background…
Neighbor-Based Feature and Index Enhancement for Person Re-Identification
Chao Yuan, Tianyi Zhang, Guanglin Niu
Person re-identification (Re-ID) aims to match the same pedestrian in a large gallery with different cameras and views. Enhancing the robustness of the extracted feature representa…