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Disentangled Representation Learning for Multimodal Emotion Recognition
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Disentangled Representation Learning for Multimodal Emotion Recognition (2022)Disentangled Representation Learning for …A Comprehensive Review of Multimodal Emotion Recognition: Techniques, Challenges, and Future Directions (2025)A Comprehensive Review of Mul…Unlocking the Emotional World of Visual Media: An Overview of the Science, Research, and Impact of Understanding Emotion (2023)Unlocking the Emotional World…Target and source modality co-reinforcement for emotion understanding from asynchronous multimodal sequences (2023)Target and source modality co…Revisiting Disentanglement and Fusion on Modality and Context in Conversational Multimodal Emotion Recognition (2023)Revisiting Disentanglement an…Decoupled Multimodal Distilling for Emotion Recognition (2023)Decoupled Multimodal Distilli…Context De-Confounded Emotion Recognition (2023)Context De-Confounded Emotion…AIDE: A Vision-Driven Multi-View, Multi-Modal, Multi-Tasking Dataset for Assistive Driving Perception (2023)AIDE: A Vision-Driven Multi-V…IEMOCAP: interactive emotional dyadic motion capture database (2008)Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis (2016)End-to-End Multimodal Emotion Recognition Using Deep Neural Networks (2017)THE ASSESSMENT OF ANXIETY STATES BY RATING (1959)An approach to environmental psychology (1974)Behavioral inhibition, behavioral activation, and affective responses to impending reward and punishment: The BIS/BAS Scales. (1994)One for All: A Unified Generative Framework for Image Emotion Classification (2023)Analysis of influencing factors on review efficiency of multidisciplinary scientific research projects using DEMATEL with a 5-point scale (2024)Studying the impact of emotion-AI in cross-cultural communication on the effectiveness of global media (2025)BOUNDED RATIONALITY (1999)Context Based Emotion Recognition using EMOTIC Dataset (2019)Context-Aware Emotion Recognition Networks (2019)COVAREP — A collaborative voice analysis repository for speech technologies (2014)A Survey of Deep Learning-Based Multimodal Emotion Recognition: Speech, Text, and Face (2023)A Review of Key Technologies for Emotion Analysis Using Multimodal Information (2024)FrameERC: Framelet Transform Based Multimodal Graph Neural Networks for Emotion Recognition in Conversation (2025)Training deep networks for facial expression recognition with crowd-sourced label distribution (2016)MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations (2019)A circumplex model of affect. (1980)Measurement Reliability and Validity (2000)Driver Fatigue Detection Systems: A Review (2018)EmotionMeter: A Multimodal Framework for Recognizing Human Emotions (2018)ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection (2018)
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Cited by

  • 2023Decoupled Multimodal Distilling for Emotion Recognition245 cited
  • 2025A Comprehensive Review of Multimodal Emotion Recognition: Techniques, Challenges, and Future Directions114 cited
  • 2023Revisiting Disentanglement and Fusion on Modality and Context in Conversational Multimodal Emotion Recognition94 cited
  • 2023Unlocking the Emotional World of Visual Media: An Overview of the Science, Research, and Impact of Understanding Emotion89 cited
  • 2023Context De-Confounded Emotion Recognition69 cited
  • 2023AIDE: A Vision-Driven Multi-View, Multi-Modal, Multi-Tasking Dataset for Assistive Driving Perception68 cited
  • 2023Target and source modality co-reinforcement for emotion understanding from asynchronous multimodal sequences48 cited

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