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A Facial Expression-Aware Multimodal Multi-task Learning Framework for Emotion Recognition in Multi-party Conversations
16 references·0 citing·39 second hop
A Facial Expression-Aware Multimodal Multi-task Learning Framework for Emotion Recognition in Multi-party Conversations (2023)A Facial Expression-Aware Multimodal Mult…MM-DFN: Multimodal Dynamic Fusion Network for Emotion Recognition in Conversations (2022)MM-DFN: Multimodal Dynamic Fu…FERV39k: A Large-Scale Multi-Scene Dataset for Facial Expression Recognition in Videos (2022)FERV39k: A Large-Scale Multi-…D-vlog: Multimodal Vlog Dataset for Depression Detection (2022)D-vlog: Multimodal Vlog Datas…Contrast and Generation Make BART a Good Dialogue Emotion Recognizer (2022)Contrast and Generation Make …COGMEN: COntextualized GNN based Multimodal Emotion recognitioN (2022)COGMEN: COntextualized GNN ba…The Ethics of Emotion in Artificial Intelligence Systems (2021)The Ethics of Emotion in Arti…Progressive Modality Reinforcement for Human Multimodal Emotion Recognition from Unaligned Multimodal Sequences (2021)Progressive Modality Reinforc…Physiognomic Artificial Intelligence (2021)Physiognomic Artificial Intel…Multimodal Engagement Analysis From Facial Videos in the Classroom (2021)Multimodal Engagement Analysi…MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation (2021)MMGCN: Multimodal Fusion via …Estimation of continuous valence and arousal levels from faces in naturalistic conditions (2021)Estimation of continuous vale…MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations (2019)MELD: A Multimodal Multi-Part…HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case (2019)HISTORIAE, History of Socio-C…Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFace (2019)Expression, Affect, Action Un…Divide, Conquer and Combine: Hierarchical Feature Fusion Network with Local and Global Perspectives for Multimodal Affective Computing (2019)Divide, Conquer and Combine: …The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression (2010)The Extended Cohn-Kanade Data…Measuring emotion: The self-assessment manikin and the semantic differential (1994)IEMOCAP: interactive emotional dyadic motion capture database (2008)A review of affective computing: From unimodal analysis to multimodal fusion (2017)COSMIC: COmmonSense knowledge for eMotion Identification in Conversations (2020)A systematic review on affective computing: emotion models, databases, and recent advances (2022)A circumplex model of affect. (1980)A Concordance Correlation Coefficient to Evaluate Reproducibility (1989)AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild (2017)Multimodal Human–Robot Interaction for Human‐Centric Smart Manufacturing: A Survey (2023)Transformer-based multimodal feature enhancement networks for multimodal depression detection integrating video, audio and remote photoplethysmograph signals (2023)Uncertainty-aware Label Distribution Learning for Facial Expression Recognition (2023)Emotion And Adaptation (1991)Affective Computing (1997)The global landscape of AI ethics guidelines (2019)Emotion AI at Work: Implications for Workplace Surveillance, Emotional Labor, and Emotional Privacy (2023)Regulating AI in Mental Health: Ethics of Care Perspective (2024)COVAREP — A collaborative voice analysis repository for speech technologies (2014)Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis (2016)A Survey of Deep Learning-Based Multimodal Emotion Recognition: Speech, Text, and Face (2023)IIFDD: Intra and inter-modal fusion for depression detection with multi-modal information from Internet of Medical Things (2023)A Comprehensive Review of Multimodal Emotion Recognition: Techniques, Challenges, and Future Directions (2025)Training deep networks for facial expression recognition with crowd-sourced label distribution (2016)A Transformer-Based Model With Self-Distillation for Multimodal Emotion Recognition in Conversations (2023)GraphCFC: A Directed Graph Based Cross-Modal Feature Complementation Approach for Multimodal Conversational Emotion Recognition (2023)DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation (2019)MSER: Multimodal speech emotion recognition using cross-attention with deep fusion (2023)Multimodal emotion recognition using cross modal audio-video fusion with attention and deep metric learning (2023)Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos (2018)MultiEMO: An Attention-Based Correlation-Aware Multimodal Fusion Framework for Emotion Recognition in Conversations (2023)A Systematic Review on Multimodal Emotion Recognition: Building Blocks, Current State, Applications, and Challenges (2024)MemoCMT: multimodal emotion recognition using cross-modal transformer-based feature fusion (2025)Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild (2017)Deep Facial Expression Recognition: A Survey (2020)LEGAL-BERT: The Muppets straight out of Law School (2020)On the Opportunities and Risks of Foundation Models (2021)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Exploiting multi-CNN features in CNN-RNN based dimensional emotion recognition on the OMG in-the-wild dataset (2020)Analysing Affective Behavior in the second ABAW2 Competition (2021)Py-Feat: Python Facial Expression Analysis Toolbox (2023)
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References

  • 2019HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case16,511 cited
  • 2010The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression4,299 cited
  • 2019MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations1,413 cited
  • 2021MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation338 cited
  • 2022MM-DFN: Multimodal Dynamic Fusion Network for Emotion Recognition in Conversations267 cited
  • 2021Estimation of continuous valence and arousal levels from faces in naturalistic conditions233 cited
  • 2021Progressive Modality Reinforcement for Human Multimodal Emotion Recognition from Unaligned Multimodal Sequences221 cited
  • 2019Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFace210 cited
  • 2021The Ethics of Emotion in Artificial Intelligence Systems186 cited
  • 2022COGMEN: COntextualized GNN based Multimodal Emotion recognitioN160 cited
  • 2019Divide, Conquer and Combine: Hierarchical Feature Fusion Network with Local and Global Perspectives for Multimodal Affective Computing153 cited
  • 2021Multimodal Engagement Analysis From Facial Videos in the Classroom142 cited
  • 2021Physiognomic Artificial Intelligence133 cited
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Contrast and Generation Make BART a Good Dialogue Emotion Recognizer
128 cited
  • 2022D-vlog: Multimodal Vlog Dataset for Depression Detection126 cited
  • 2022FERV39k: A Large-Scale Multi-Scene Dataset for Facial Expression Recognition in Videos124 cited
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