activity
20192024
most citedMulti-Modal Knowledge Graph Construction and Application: A Survey

292 citations · 301 across the 6 of their papers we have counts for

collaborators

6 papers

cs.IR2024

Flickr30K-CFQ: A Compact and Fragmented Query Dataset for Text-image Retrieval

Haoyu Liu, Yaoxian Song, Xuwu Wang +4

With the explosive growth of multi-modal information on the Internet, unimodal search cannot satisfy the requirement of Internet applications. Text-image retrieval research is need…

cs.CL2024★ 1 cited

OVEL: Large Language Model as Memory Manager for Online Video Entity Linking

Haiquan Zhao, Xuwu Wang, Shisong Chen +3

In recent years, multi-modal entity linking (MEL) has garnered increasing attention in the research community due to its significance in numerous multi-modal applications. Video, a…

cs.CL2022

WikiDiverse: A Multimodal Entity Linking Dataset with Diversified Contextual Topics and Entity Types

Xuwu Wang, Junfeng Tian, Min Gui +5

Multimodal Entity Linking (MEL) which aims at linking mentions with multimodal contexts to the referent entities from a knowledge base (e.g., Wikipedia), is an essential task for m…

cs.CV2022★ 7 cited

Shifting More Attention to Visual Backbone: Query-modulated Refinement Networks for End-to-End Visual Grounding

Jiabo Ye, Junfeng Tian, Ming Yan +5

Visual grounding focuses on establishing fine-grained alignment between vision and natural language, which has essential applications in multimodal reasoning systems. Existing meth…

cs.AI2022★ 292 cited

Multi-Modal Knowledge Graph Construction and Application: A Survey

Xiangru Zhu, Zhixu Li, Xiaodan Wang +5

Recent years have witnessed the resurgence of knowledge engineering which is featured by the fast growth of knowledge graphs. However, most of existing knowledge graphs are represe…

cs.LG2019★ 1 cited

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks

Yuting Ye, Xuwu Wang, Jiangchao Yao +4

Low-dimensional embeddings of knowledge graphs and behavior graphs have proved remarkably powerful in varieties of tasks, from predicting unobserved edges between entities to conte…