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Misa: Modality-invariant and-specific representations for multimodal sentiment analysis
Multimodal Sentiment Analysis is an active area of research that leverages multimodal
signals for affective understanding of user-generated videos. The predominant approach …
signals for affective understanding of user-generated videos. The predominant approach …
Multimodal language analysis in the wild: Cmu-mosei dataset and interpretable dynamic fusion graph
Analyzing human multimodal language is an emerging area of research in NLP. Intrinsically
this language is multimodal (heterogeneous), sequential and asynchronous; it consists of …
this language is multimodal (heterogeneous), sequential and asynchronous; it consists of …
Multibench: Multiscale benchmarks for multimodal representation learning
Learning multimodal representations involves integrating information from multiple
heterogeneous sources of data. It is a challenging yet crucial area with numerous real-world …
heterogeneous sources of data. It is a challenging yet crucial area with numerous real-world …
Tensor fusion network for multimodal sentiment analysis
Social-iq: A question answering benchmark for artificial social intelligence
As intelligent systems increasingly blend into our everyday life, artificial social intelligence
becomes a prominent area of research. Intelligent systems must be socially intelligent in …
becomes a prominent area of research. Intelligent systems must be socially intelligent in …