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Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos
9 references·16 citing·44 second hop
Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos (2018)Conversational Memory Network for Emotion…Predicting Depression via Social Media (2021)Predicting Depression via Soc…Natural language based financial forecasting: a survey (2017)Natural language based financ…End-to-End Multimodal Emotion Recognition Using Deep Neural Networks (2017)End-to-End Multimodal Emotion…A review of affective computing: From unimodal analysis to multimodal fusion (2017)A review of affective computi…A Review and Meta-Analysis of Multimodal Affect Detection Systems (2015)A Review and Meta-Analysis of…The Handbook of Conversation Analysis (2013)The Handbook of Conversation …IEMOCAP: interactive emotional dyadic motion capture database (2008)IEMOCAP: interactive emotiona…Analysis of emotion recognition using facial expressions, speech and multimodal information (2004)Analysis of emotion recogniti…Recognizing emotion in speech (2002)Recognizing emotion in speechA Transformer-Based Model With Self-Distillation for Multimodal Emotion Recognition in Conversations (2023)A Transformer-Based Model Wit…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…COGMEN: COntextualized GNN based Multimodal Emotion recognitioN (2022)COGMEN: COntextualized GNN ba…Real-Time Video Emotion Recognition Based on Reinforcement Learning and Domain Knowledge (2021)Real-Time Video Emotion Recog…MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation (2021)MMGCN: Multimodal Fusion via …DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognition (2021)DialogXL: All-in-One XLNet fo…DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations (2021)DialogueCRN: Contextual Reaso…CTNet: Conversational Transformer Network for Emotion Recognition (2021)CTNet: Conversational Transfo…Relation-aware Graph Attention Networks with Relational Position Encodings for Emotion Recognition in Conversations (2020)Relation-aware Graph Attentio…Multimodal Approach of Speech Emotion Recognition Using Multi-Level Multi-Head Fusion Attention-Based Recurrent Neural Network (2020)Multimodal Approach of Speech…COSMIC: COmmonSense knowledge for eMotion Identification in Conversations (2020)COSMIC: COmmonSense knowledge…UR-FUNNY: A Multimodal Language Dataset for Understanding Humor (2019)UR-FUNNY: A Multimodal Langua…Technical analysis and sentiment embeddings for market trend prediction (2019)Technical analysis and sentim…Divide, Conquer and Combine: Hierarchical Feature Fusion Network with Local and Global Perspectives for Multimodal Affective Computing (2019)Divide, Conquer and Combine: …ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection (2018)ICON: Interactive Conversatio…The role of emotion in believable agents (1994)Prosody-based automatic detection of annoyance and frustration in human-computer dialog (2002)Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies (2010)Speech Emotion Recognition Using Deep Convolutional Neural Network and Discriminant Temporal Pyramid Matching (2017)A power primer. 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References

  • 2008IEMOCAP: interactive emotional dyadic motion capture database3,864 cited
  • 2017A review of affective computing: From unimodal analysis to multimodal fusion1,640 cited
  • 2013The Handbook of Conversation Analysis1,611 cited
  • 2021Predicting Depression via Social Media1,582 cited
  • 2004Analysis of emotion recognition using facial expressions, speech and multimodal information842 cited
  • 2017End-to-End Multimodal Emotion Recognition Using Deep Neural Networks749 cited
  • 2015A Review and Meta-Analysis of Multimodal Affect Detection Systems631 cited
  • 2002Recognizing emotion in speech494 cited
  • 2017Natural language based financial forecasting: a survey399 cited

Cited by

  • 2018ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection464 cited
  • 2020COSMIC: COmmonSense knowledge for eMotion Identification in Conversations389 cited
  • 2021MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation338 cited
  • 2021CTNet: Conversational Transformer Network for Emotion Recognition299 cited
  • 2019Technical analysis and sentiment embeddings for market trend prediction293 cited
  • 2022MM-DFN: Multimodal Dynamic Fusion Network for Emotion Recognition in Conversations

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267 cited
  • 2021DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations257 cited
  • 2021DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognition239 cited
  • 2020Relation-aware Graph Attention Networks with Relational Position Encodings for Emotion Recognition in Conversations222 cited
  • 2021Real-Time Video Emotion Recognition Based on Reinforcement Learning and Domain Knowledge185 cited
  • 2023A Transformer-Based Model With Self-Distillation for Multimodal Emotion Recognition in Conversations182 cited
  • 2019UR-FUNNY: A Multimodal Language Dataset for Understanding Humor174 cited
  • 2022M2FNet: Multi-modal Fusion Network for Emotion Recognition in Conversation169 cited
  • 2020Multimodal Approach of Speech Emotion Recognition Using Multi-Level Multi-Head Fusion Attention-Based Recurrent Neural Network167 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