8 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…
Resolution as a Direction: Vector-Panning Feature Alignment for Cross-Resolution Re-Identification
Zanwu Liu, Chao Yuan, Bo Li +2
Cross-resolution person re-identification (CR-ReID) remains challenging in practical surveillance, where camera quality and capture distance lead to substantial resolution gaps bet…
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…
Tokenization, Fusion and Decoupling: Bridging the Granularity Mismatch Between Large Language Models and Knowledge Graphs
Siyue Su, Jian Yang, Bo Li +1
Leveraging Large Language Models (LLMs) for Knowledge Graph Completion (KGC) is promising but hindered by a fundamental granularity mismatch. LLMs operate on fragmented token seque…
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…
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…