7 papers
RADD: Retrieval-Augmented Discrete Diffusion for Multi-Modal Knowledge Graph Completion
Guanglin Niu, Bo Li
Most multi-modal knowledge graph completion (MMKGC) models use one embedding scorer to conduct both retrieval over the full entity set and final link prediction. We argue that this…
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…
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…
A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects
Guanglin Niu, Bo Li, Yangguang Lin
Knowledge graphs (KGs) have emerged as a powerful paradigm for structuring and leveraging diverse real-world knowledge, which serve as a fundamental technology for enabling cogniti…
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…
Identity-aware Feature Decoupling Learning for Clothing-change Person Re-identification
Haoxuan Xu, Bo Li, Guanglin Niu
Clothing-change person re-identification (CC Re-ID) has attracted increasing attention in recent years due to its application prospect. Most existing works struggle to adequately e…