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Chapter and Conference Paper
Efficient Supervised Hashing via Exploring Local and Inner Data Structure
Recent years have witnessed the promising capacity of hashing techniques in tackling nearest neighbor search because of the high efficiency in storage and retrieval. Data-independent approaches (e.g., Locality...
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Chapter and Conference Paper
Jointly Learning Attentions with Semantic Cross-Modal Correlation for Visual Question Answering
Visual Question Answering (VQA) has emerged as a prominent multi-discipline research problem in artificial intelligence. A number of recent studies are focusing on proposing attention mechanisms such as visual...
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Chapter and Conference Paper
Deep Semantic Indexing Using Convolutional Localization Network with Region-Based Visual Attention for Image Database
In this paper, we introduce a novel deep semantic indexing method, a.k.a. captioning, for image database. Our method can automatically generate a natural language caption describing an image as a semantic refe...
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Chapter and Conference Paper
A Deep Approach for Multi-modal User Attribute Modeling
With the explosive growth of user-generated contents (e.g., texts, images and videos) on social networks, it is of great significance to analyze and extract people’s interests from the massive social media dat...