Papers by Haozheng Wang

1 papers
JTAV: Jointly Learning Social Media Content Representation by Fusing Textual, Acoustic, and Visual Features (C18-1)

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Challenge: Existing studies on learning social media content focus on single modal or bi-modal learning, but this approach is non-trivial and challenging because content is multi-modal and involves several types of data, including text, audio, and image.
Approach: They propose to combine textual, acoustic, and visual information to learn social media content by fusing them jointly.
Outcome: The proposed model outperforms the state-of-the-art approaches on real-world datasets by a large margin.

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