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MAGDRA: A Multi-modal Attention Graph Network with Dynamic Routing-By-Agreement for multi-label emotion recognition
16 references·0 citing·44 second hop
MAGDRA: A Multi-modal Attention Graph Network with Dynamic Routing-By-Agreement for multi-label emotion recognition (2023)MAGDRA: A Multi-modal Attention Graph Net…EEG emotion recognition based on the attention mechanism and pre-trained convolution capsule network (2023)EEG emotion recognition based…Tailor Versatile Multi-Modal Learning for Multi-Label Emotion Recognition (2022)Tailor Versatile Multi-Modal …SMIN: Semi-Supervised Multi-Modal Interaction Network for Conversational Emotion Recognition (2022)SMIN: Semi-Supervised Multi-M…Multi-Channel Weight-Sharing Autoencoder Based on Cascade Multi-Head Attention for Multimodal Emotion Recognition (2022)Multi-Channel Weight-Sharing …Improving multimodal fusion with Main Modal Transformer for emotion recognition in conversation (2022)Improving multimodal fusion w…Deep learning based multimodal emotion recognition using model-level fusion of audio–visual modalities (2022)Deep learning based multimoda…Multi-modal Multi-label Emotion Recognition with Heterogeneous Hierarchical Message Passing (2021)Multi-modal Multi-label Emoti…A multimodal hierarchical approach to speech emotion recognition from audio and text (2021)A multimodal hierarchical app…Attention Driven Fusion for Multi-Modal Emotion Recognition (2020)Attention Driven Fusion for M…Adapted Dynamic Memory Network for Emotion Recognition in Conversation (2020)Adapted Dynamic Memory Networ…Recognizing Emotions in Video Using Multimodal DNN Feature Fusion (2018)Recognizing Emotions in Video…ISLA: Temporal Segmentation and Labeling for Audio-Visual Emotion Recognition (2017)ISLA: Temporal Segmentation a…A Combined Rule-Based & Machine Learning Audio-Visual Emotion Recognition Approach (2016)A Combined Rule-Based & Machi…Exploring Cross-Modality Affective Reactions for Audiovisual Emotion Recognition (2013)Exploring Cross-Modality Affe…Exploring Fusion Methods for Multimodal Emotion Recognition with Missing Data (2011)Exploring Fusion Methods for …IEMOCAP: interactive emotional dyadic motion capture database (2008)IEMOCAP: interactive emotiona…Thin slices of expressive behavior as predictors of interpersonal consequences: A meta-analysis. 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(1954)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression (2010)A machine learning-based investigation utilizing the in-text features for the identification of dominant emotion in an email (2020)Semi-supervised Multi-modal Emotion Recognition with Cross-Modal Distribution Matching (2020)A Domain Generative Graph Network for EEG-Based Emotion Recognition (2023)A review of affective computing: From unimodal analysis to multimodal fusion (2017)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Automatic speech emotion recognition using recurrent neural networks with local attention (2017)Speech Emotion Recognition with Multiscale Area Attention and Data Augmentation (2021)A novel dual-modal emotion recognition algorithm with fusing hybrid features of audio signal and speech context (2022)Emotional Speech Recognition Using Deep Neural Networks (2022)The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English (2018)A systematic review of trimodal affective computing approaches: Text, audio, and visual integration in emotion recognition and sentiment analysis (2024)Bridging computer and education sciences: A systematic review of automated emotion recognition in online learning environments (2024)MemoCMT: multimodal emotion recognition using cross-modal transformer-based feature fusion (2025)HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case (2019)MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations (2019)GPT-4V with emotion: A zero-shot benchmark for Generalized Emotion Recognition (2024)HiMul-LGG: A hierarchical decision fusion-based local–global graph neural network for multimodal emotion recognition in conversation (2024)Review and Perspectives on Human Emotion for Connected Automated Vehicles (2024)Emotion knowledge: Further exploration of a prototype approach. (1987)What's basic about basic emotions? (1990)An argument for basic emotions (1992)A review of multimodal emotion recognition from datasets, preprocessing, features, and fusion methods (2023)Multimodal emotion recognition using cross modal audio-video fusion with attention and deep metric learning (2023)Multimodal Emotion Recognition with Deep Learning: Advancements, challenges, and future directions (2023)DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks (2015)EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks (2018)DA-CapsNet: A multi-branch capsule network based on adversarial domain adaption for cross-subject EEG emotion recognition (2023)Multi-view domain-adaptive representation learning for EEG-based emotion recognition (2023)Light-weight residual convolution-based capsule network for EEG emotion recognition (2024)A Facial Expression-Aware Multimodal Multi-task Learning Framework for Emotion Recognition in Multi-party Conversations (2023)Extending UTAUT with perceived intelligence for the adoption of artificial intelligence in MSMEs and startups in Indonesia: A multi-group analysis (2025)
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References

  • 2008IEMOCAP: interactive emotional dyadic motion capture database3,864 cited
  • 2022Deep learning based multimodal emotion recognition using model-level fusion of audio–visual modalities238 cited
  • 2023EEG emotion recognition based on the attention mechanism and pre-trained convolution capsule network202 cited
  • 2011Exploring Fusion Methods for Multimodal Emotion Recognition with Missing Data156 cited
  • 2018Recognizing Emotions in Video Using Multimodal DNN Feature Fusion132 cited
  • 2021A multimodal hierarchical approach to speech emotion recognition from audio and text115 cited
  • 2020Attention Driven Fusion for Multi-Modal Emotion Recognition96 cited
  • 2016A Combined Rule-Based & Machine Learning Audio-Visual Emotion Recognition Approach91 cited
  • 2022Improving multimodal fusion with Main Modal Transformer for emotion recognition in conversation91 cited
  • 2022SMIN: Semi-Supervised Multi-Modal Interaction Network for Conversational Emotion Recognition90 cited
  • 2020Adapted Dynamic Memory Network for Emotion Recognition in Conversation87 cited
  • 2013Exploring Cross-Modality Affective Reactions for Audiovisual Emotion Recognition83 cited
  • 2022Tailor Versatile Multi-Modal Learning for Multi-Label Emotion Recognition79 cited
  • 2022Multi-Channel Weight-Sharing Autoencoder Based on Cascade Multi-Head Attention for Multimodal Emotion Recognition

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56 cited
  • 2021Multi-modal Multi-label Emotion Recognition with Heterogeneous Hierarchical Message Passing55 cited
  • 2017ISLA: Temporal Segmentation and Labeling for Audio-Visual Emotion Recognition51 cited
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