<p class="jove_content">The work proposes an end-to-end multimodal emotion analysis framework that leverages transformer encoders, disentangled emotion representations, and graph-based cross-modal attention with visual mapping to improve emotion recognition accuracy across two datasets.</p>

visual-mapping-multimodal-emotion-features-for-intelligent

Visual Mapping of Multimodal Emotion Features for Intelligent Interaction Design

By enabling machines to comprehend, interpret, and react to human affective states, visual mapping of multimodal emotion traits is crucial to intelligent ...

Institution - Changsha University of Science & Technology

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