6 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…
MOS: Mitigating Optical-SAR Modality Gap for Cross-Modal Ship Re-Identification
Yujian Zhao, Hankun Liu, Guanglin Niu
Cross-modal ship re-identification (ReID) between optical and synthetic aperture radar (SAR) imagery has recently emerged as a critical yet underexplored task in maritime intellige…
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…
Try Harder: Hard Sample Generation and Learning for Clothes-Changing Person Re-ID
Hankun Liu, Yujian Zhao, Guanglin Niu
Hard samples pose a significant challenge in person re-identification (ReID) tasks, particularly in clothing-changing person Re-ID (CC-ReID). Their inherent ambiguity or similarity…
CCUP: A Controllable Synthetic Data Generation Pipeline for Pretraining Cloth-Changing Person Re-Identification Models
Yujian Zhao, Chengru Wu, Yinong Xu +3
Cloth-changing person re-identification (CC-ReID), also known as Long-Term Person Re-Identification (LT-ReID) is a critical and challenging research topic in computer vision that h…