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TED: Towards Explainable and Holistically Aligned Empathetic Dialogue Generation
While current empathetic dialogue systems can produce fluent responses, they typically lack a transparent reasoning process. This …
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Empathetic Response Generation Through Multi-modality
Despite remarkable advancements in empathetic response generation (ERG) area, existing research has centered on achieving affective and …
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Facial Action Unit Recognition Guided by Labeling Rules
Existing facial action unit(AU) recognition studies either do not leverage the relations between AU representations or do not utilize …
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From Traits to Empathy: Personality-Aware Multimodal Empathetic Response Generation
Empathetic dialogue systems improve the user experience across various domains. Existing approaches mainly focus on acquiring affective …
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Integrating Visual Modalities with Large Language Models for Mental Health Support
Current work of mental health support primarily utilizes unimodal textual data and often fails to understand and respond to users’ …
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Facial Action Unit Recognition Enhanced by Text Descriptions of FACS
Although the descriptions of facial action units (AUs) provide crucial semantic knowledge for representation learning from facial …
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VAD: A Video Affective Dataset with Danmu
Although video affective content analysis has great potential in many applications, it has not been thoroughly studied due to limited …
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A Multi-Stage Visual Perception Approach for Image Emotion Analysis
Most current methods for image emotion analysis suffer from the affective gap, in which features directly extracted from images are …
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Pose-robust personalized facial expression recognition through unsupervised multi-source domain adaptation
Pose-robust personalized facial expression recognition is rather challenging, as facial expressions are subject-related and …
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Pose-Aware Facial Expression Recognition Assisted by Expression Descriptions
Although expression descriptions provide additional information about facial behaviors despite of different poses, and pose features …
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