Learning Three-Modal Joint Representations With Multimodal Transformer for Multimodal Sentiment Analysis
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Consumer Electronics"
DOI: 10.1109/tce.2025.3593333
Abstract: Understanding user sentiment from multiple modalities is essential for applications such as personalized recommendations and affective computing. We propose TMJR, a Three-modal Joint Representation model for multimodal sentiment analysis, which introduces a structured three-round cross-modal… read more here.
Keywords: three modal; modal joint; multimodal sentiment; sentiment ... See more keywords
Multi-Modal Joint Clustering With Application for Unsupervised Attribute Discovery
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2018.2831454
Abstract: Utilizing multiple descriptions/views of an object is often useful in image clustering tasks. Despite many works that have been proposed to effectively cluster multi-view data, there are still unaddressed problems such as the errors introduced… read more here.
Keywords: modal joint; attribute discovery; discovery; multi modal ... See more keywords