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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 ...
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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...