Aug 15, 2023 · We propose a Structure Aware Multi-Graph Network (SAMGN) for MMERC. Specifically, we construct multiple modality-specific graphs to model the heterogeneity of ...
Abstract—Multi-Modal Emotion Recognition in Conversations. (MMERC) is an increasingly active research field that leverages multi-modal signals to understand ...
Multi-loop graph convolutional network for multimodal ...
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We propose a novel approach named Semantic-correlation Graph Convolutional Network (SC-GCN) to take advantage of this correlation for the ERC task in ...
Multimodal Emotion Recognition in Conversa- tions (ERC) aims to identify emotions in con- versational videos. Current efforts focus on.
Dec 4, 2024 · Multimodal emotion recognition in conversation (MERC) refers to identifying and classifying human emotional states by combining data from ...
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In this work, we propose a novel Graph network based Multimodal Fusion Technique (GraphMFT) for emotion recognition in conversation. Multimodal data can be ...
Jan 11, 2024 · In this paper, to overcome these limitations, a Multi-modal Attention Graph model with Dynamic Routing-by-Agreement (MAGDRA) is proposed.
We propose several strong multimodal baselines and show the importance of contextual and multimodal information for emotion recognition in conversations. 8.
Oct 22, 2024 · We propose a novel multimodal emotion recognition model named Multi-Layer Graph Attention Network (MLGAT) to address this.
Structure Aware Multi-Graph Network for Multi-Modal Emotion Recognition in Conversations. D Zhang, F Chen, J Chang, X Chen, Q Tian. IEEE Transactions on ...