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Locally Confined Modality Fusion Network With a Global Perspective for Multimodal Human Affective Computing
15 references·6 citing·44 second hop
Locally Confined Modality Fusion Network With a Global Perspective for Multimodal Human Affective Computing (2019)Locally Confined Modality Fusion Network …MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations (2019)MELD: A Multimodal Multi-Part…Multimodal Affective Analysis Using Hierarchical Attention Strategy with Word-Level Alignment (2018)Multimodal Affective Analysis…Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos (2018)Conversational Memory Network…Advanced LSTM: A Study About Better Time Dependency Modeling in Emotion Recognition (2018)Advanced LSTM: A Study About …A review of affective computing: From unimodal analysis to multimodal fusion (2017)A review of affective computi…Multimodal emotion recognition using deep learning architectures (2016)Multimodal emotion recognitio…Deep Multimodal Learning for Affective Analysis and Retrieval (2015)Deep Multimodal Learning for …A Review and Meta-Analysis of Multimodal Affect Detection Systems (2015)A Review and Meta-Analysis of…COVAREP — A collaborative voice analysis repository for speech technologies (2014)COVAREP — A collaborative voi…Ensemble of SVM trees for multimodal emotion recognition (2012)Ensemble of SVM trees for mul…Emotion Recognition of Affective Speech Based on Multiple Classifiers Using Acoustic-Prosodic Information and Semantic Labels (2010)Emotion Recognition of Affect…IEMOCAP: interactive emotional dyadic motion capture database (2008)IEMOCAP: interactive emotiona…Emotion Recognition through Multiple Modalities: Face, Body Gesture, Speech (2008)Emotion Recognition through M…A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)A Survey of Affect Recognitio…From Utterance to Text: The Bias of Language in Speech and Writing (1977)From Utterance to Text: The B…MIA-Net: Multi-Modal Interactive Attention Network for Multi-Modal Affective Analysis (2023)MIA-Net: Multi-Modal Interact…SMIN: Semi-Supervised Multi-Modal Interaction Network for Conversational Emotion Recognition (2022)SMIN: Semi-Supervised Multi-M…AIA-Net: Adaptive Interactive Attention Network for Text–Audio Emotion Recognition (2022)AIA-Net: Adaptive Interactive…Exploration meets exploitation: Multitask learning for emotion recognition based on discrete and dimensional models (2021)Exploration meets exploitatio…Multi-Fusion Residual Memory Network for Multimodal Human Sentiment Comprehension (2020)Multi-Fusion Residual Memory …Adapted Dynamic Memory Network for Emotion Recognition in Conversation (2020)Adapted Dynamic Memory Networ…Affective Computing (1997)Emotion recognition in human-computer interaction (2001)Toward machine emotional intelligence: analysis of affective physiological state (2001)Wearable-Based Affect Recognition—A Review (2019)M3ER: Multiplicative Multimodal Emotion Recognition using Facial, Textual, and Speech Cues (2020)Artificial Emotional Intelligence in Socially Assistive Robots for Older Adults: A Pilot Study (2022)Understanding Media: The Extensions of Man (1964)Introduction to Theoretical Linguistics. (1969)How To Do Things With Words (1975)Linguistic Interdependence and the Educational Development of Bilingual Children (1979)Matthew Effects in Reading: Some Consequences of Individual Differences in the Acquisition of Literacy (1986)The simple view of reading (1990)A power primer. (1992)Trim and Fill: A Simple Funnel‐Plot–Based Method of Testing and Adjusting for Publication Bias in Meta‐Analysis (2000)Introduction to Meta‐Analysis (2009)ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection (2018)AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition (2019)Coefficient Alpha and the Internal Structure of Tests (1951)The Hidden Dimension (1973)Speech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications (2010)A Multimodal Database for Affect Recognition and Implicit Tagging (2011)Deep Facial Expression Recognition: A Survey (2020)Toward detecting emotions in spoken dialogs (2005)The INTERSPEECH 2009 emotion challenge (2009)Praat: Doing Phonetics by Computer (2011)Survey on audiovisual emotion recognition: databases, features, and data fusion strategies (2014)Hierarchical committee of deep convolutional neural networks for robust facial expression recognition (2016)Two-layer fuzzy multiple random forest for speech emotion recognition in human-robot interaction (2019)The expression of the emotions in man and animals. (1872)DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda (2020)Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review (2020)The Handbook of Conversation Analysis (2013)COSMIC: COmmonSense knowledge for eMotion Identification in Conversations (2020)MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation (2021)Measuring emotion: The self-assessment manikin and the semantic differential (1994)DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation (2019)A systematic review on affective computing: emotion models, databases, and recent advances (2022)AVEC 2016 (2016)AVEC 2017 (2017)Deep learning-based multimodal emotion recognition from audio, visual, and text modalities: A systematic review of recent advancements and future prospects (2023)
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References

  • 2008IEMOCAP: interactive emotional dyadic motion capture database3,864 cited
  • 2008A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions2,797 cited
  • 2017A review of affective computing: From unimodal analysis to multimodal fusion1,640 cited
  • 2019MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations1,413 cited
  • 1977From Utterance to Text: The Bias of Language in Speech and Writing1,065 cited
  • 2014COVAREP — A collaborative voice analysis repository for speech technologies685 cited
  • 2015A Review and Meta-Analysis of Multimodal Affect Detection Systems631 cited
  • 2018Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos493 cited
  • 2008Emotion Recognition through Multiple Modalities: Face, Body Gesture, Speech268 cited
  • 2010Emotion Recognition of Affective Speech Based on Multiple Classifiers Using Acoustic-Prosodic Information and Semantic Labels267 cited
  • 2016Multimodal emotion recognition using deep learning architectures249 cited
  • 2018Multimodal Affective Analysis Using Hierarchical Attention Strategy with Word-Level Alignment162 cited
  • 2015Deep Multimodal Learning for Affective Analysis and Retrieval154 cited
  • 2012Ensemble of SVM trees for multimodal emotion recognition112 cited

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  • 2018Advanced LSTM: A Study About Better Time Dependency Modeling in Emotion Recognition98 cited
  • Cited by

    • 2022SMIN: Semi-Supervised Multi-Modal Interaction Network for Conversational Emotion Recognition90 cited
    • 2020Adapted Dynamic Memory Network for Emotion Recognition in Conversation87 cited
    • 2020Multi-Fusion Residual Memory Network for Multimodal Human Sentiment Comprehension69 cited
    • 2021Exploration meets exploitation: Multitask learning for emotion recognition based on discrete and dimensional models50 cited
    • 2023MIA-Net: Multi-Modal Interactive Attention Network for Multi-Modal Affective Analysis47 cited
    • 2022AIA-Net: Adaptive Interactive Attention Network for Text–Audio Emotion Recognition44 cited