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    Chapter and Conference Paper

    Cross-Modal Event Retrieval: A Dataset and a Baseline Using Deep Semantic Learning

    In this paper, we propose to learn Deep Semantic Space (DSS) for cross-modal event retrieval, which is achieved by exploiting deep learning models to extract semantic features from images and textual articles ...

    Runwei Situ, Zhenguo Yang, Jianming Lv… in Advances in Multimedia Information Process… (2018)

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    Chapter and Conference Paper

    Improving Maximum Classifier Discrepancy by Considering Joint Distribution for Domain Adaptation

    Recently, domain adaptation has gained great popularity, while most researchers are focusing on domains in homogenous modalities, e.g., image domains. In reality, heterogeneous domains are pretty common and mo...

    Zehang Lin, Zhenguo Yang, Runwei Situ… in Web Information Systems Engineering – WISE… (2018)