15 citations · 18 across the 5 of their papers we have counts for
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cs.MM2018★ 1 cited
Semantic Modeling of Textual Relationships in Cross-Modal Retrieval
Jing Yu, Chenghao Yang, Zengchang Qin +3
Feature modeling of different modalities is a basic problem in current research of cross-modal information retrieval. Existing models typically project texts and images into one em…
cs.IR2018★ 15 cited
Modeling Text with Graph Convolutional Network for Cross-Modal Information Retrieval
Jing Yu, Yuhang Lu, Zengchang Qin +4
Cross-modal information retrieval aims to find heterogeneous data of various modalities from a given query of one modality. The main challenge is to map different modalities into a…