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Sep 15, 2021 · Automatic emotion recognition (AER) based on enriched multimodal inputs, including text, speech, and visual clues, is crucial in the development ...
This paper proposes a novel hierarchical fusion graph convolutional net- work (HFGCN) model that learns more informative multimodal representations by ...
This paper proposes a novel hierarchical fusion graph convolutional net-work (HFGCN) model that learns more informative multimodal representations by ...
Feb 20, 2024 · In this work, we propose a novel Graph attention based Multimodal Fusion Technique (GraphMFT) for emotion recognition in conversation. GraphMFT ...
A novel hierarchical fusion graph convolutional net-work (HFGCN) model that learns more informative multimodal representations by considering the modality ...
This paper proposes a novel hierarchical fusion graph convolutional network (HFGCN) model that learns more informative multimodal representations by considering ...
A graph theoretical analysis of EEG functional connectivity patterns along with fusion between EEG and peripheral physiological signals for emotion recognition ...
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Abstract. The lack of complementary affective responses from both the central and peripheral nervous systems could limit the performance of emotion recognition ...
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Sep 15, 2021 · In this paper, we proposed HFGCN, a hierarchical fusion graph convolutional network for better multimodal emotion. Page 8. recognition. HFGCN is ...