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Adversarial alignment and graph fusion via information bottleneck for multimodal emotion recognition in conversations
16 references·0 citing·35 second hop
Adversarial alignment and graph fusion via information bottleneck for multimodal emotion recognition in conversations (2024)Adversarial alignment and graph fusion vi…Multi-modal fusion network with complementarity and importance for emotion recognition (2022)Multi-modal fusion network wi…MM-DFN: Multimodal Dynamic Fusion Network for Emotion Recognition in Conversations (2022)MM-DFN: Multimodal Dynamic Fu…M2FNet: Multi-modal Fusion Network for Emotion Recognition in Conversation (2022)M2FNet: Multi-modal Fusion Ne…EmoCaps: Emotion Capsule based Model for Conversational Emotion Recognition (2022)EmoCaps: Emotion Capsule base…CauAIN: Causal Aware Interaction Network for Emotion Recognition in Conversations (2022)CauAIN: Causal Aware Interact…MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation (2021)MMGCN: Multimodal Fusion via …LR-GCN: Latent Relation-Aware Graph Convolutional Network for Conversational Emotion Recognition (2021)LR-GCN: Latent Relation-Aware…CTNet: Conversational Transformer Network for Emotion Recognition (2021)CTNet: Conversational Transfo…Time–Frequency Representation and Convolutional Neural Network-Based Emotion Recognition (2020)Time–Frequency Representation…C-GCN: Correlation Based Graph Convolutional Network for Audio-Video Emotion Recognition (2020)C-GCN: Correlation Based Grap…UR-FUNNY: A Multimodal Language Dataset for Understanding Humor (2019)UR-FUNNY: A Multimodal Langua…RoBERTa: A Robustly Optimized BERT Pretraining Approach (2019)RoBERTa: A Robustly Optimized…MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations (2019)MELD: A Multimodal Multi-Part…DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation (2019)DialogueGCN: A Graph Convolut…Multi-Modal Sequence Fusion via Recursive Attention for Emotion Recognition (2018)Multi-Modal Sequence Fusion v…IEMOCAP: interactive emotional dyadic motion capture database (2008)IEMOCAP: interactive emotiona…Coefficient Alpha and the Internal Structure of Tests (1951)The Hidden Dimension (1973)Affective Computing (1997)Speech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)Measuring emotion: The self-assessment manikin and the semantic differential (1994)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)COVAREP — A collaborative voice analysis repository for speech technologies (2014)ColBERT: Using BERT Sentence Embedding for Humor Detection (2020)Humor Knowledge Enriched Transformer for Understanding Multimodal Humor (2021)The Multimodal Sentiment Analysis in Car Reviews (MuSe-CaR) Dataset: Collection, Insights and Improvements (2021)Defending Against Neural Fake News (2019)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)Emotion Recognition From EEG Using Higher Order Crossings (2009)EEG-Based Emotion Recognition in Music Listening (2010)Emotional state classification from EEG data using machine learning approach (2013)Emotion recognition based on EEG feature maps through deep learning network (2021)Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model (2022)Emotion recognition in EEG signals using deep learning methods: A review (2023)The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2015)A Survey of Deep Learning-Based Multimodal Emotion Recognition: Speech, Text, and Face (2023)Deep learning-based multimodal emotion recognition from audio, visual, and text modalities: A systematic review of recent advancements and future prospects (2023)Transformer-based multimodal feature enhancement networks for multimodal depression detection integrating video, audio and remote photoplethysmograph signals (2023)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)Toward detecting emotions in spoken dialogs (2005)Emotion Recognition Using Different Sensors, Emotion Models, Methods and Datasets: A Comprehensive Review (2023)MultiEMO: An Attention-Based Correlation-Aware Multimodal Fusion Framework for Emotion Recognition in Conversations (2023)A Comprehensive Review of Multimodal Emotion Recognition: Techniques, Challenges, and Future Directions (2025)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)
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References

  • 2019RoBERTa: A Robustly Optimized BERT Pretraining Approach16,988 cited
  • 2008IEMOCAP: interactive emotional dyadic motion capture database3,864 cited
  • 2019MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations1,413 cited
  • 2019DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation763 cited
  • 2021MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation338 cited
  • 2020Time–Frequency Representation and Convolutional Neural Network-Based Emotion Recognition300 cited
  • 2021CTNet: Conversational Transformer Network for Emotion Recognition299 cited
  • 2022MM-DFN: Multimodal Dynamic Fusion Network for Emotion Recognition in Conversations267 cited
  • 2019UR-FUNNY: A Multimodal Language Dataset for Understanding Humor174 cited
  • 2022M2FNet: Multi-modal Fusion Network for Emotion Recognition in Conversation169 cited
  • 2022Multi-modal fusion network with complementarity and importance for emotion recognition165 cited
  • 2022EmoCaps: Emotion Capsule based Model for Conversational Emotion Recognition117 cited
  • 2020C-GCN: Correlation Based Graph Convolutional Network for Audio-Video Emotion Recognition87 cited
  • 2018Multi-Modal Sequence Fusion via Recursive Attention for Emotion Recognition

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77 cited
  • 2022CauAIN: Causal Aware Interaction Network for Emotion Recognition in Conversations76 cited
  • 2021LR-GCN: Latent Relation-Aware Graph Convolutional Network for Conversational Emotion Recognition73 cited
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