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Leveraging recent advances in deep learning for audio-Visual emotion recognition
14 references·14 citing·41 second hop
Leveraging recent advances in deep learning for audio-Visual emotion recognition (2021)Leveraging recent advances in deep learni…MFCC-based Recurrent Neural Network for automatic clinical depression recognition and assessment from speech (2021)MFCC-based Recurrent Neural N…The Handbook of Culture and Psychology (2019)The Handbook of Culture and P…Local Learning With Deep and Handcrafted Features for Facial Expression Recognition (2019)Local Learning With Deep and …Deep Learning for Human Affect Recognition: Insights and New Developments (2019)Deep Learning for Human Affec…End-to-End Speech Emotion Recognition Using Deep Neural Networks (2018)End-to-End Speech Emotion Rec…Multi-Objective Based Spatio-Temporal Feature Representation Learning Robust to Expression Intensity Variations for Facial Expression Recognition (2017)Multi-Objective Based Spatio-…Learning Affective Features With a Hybrid Deep Model for Audio–Visual Emotion Recognition (2017)Learning Affective Features W…End-to-End Multimodal Emotion Recognition Using Deep Neural Networks (2017)End-to-End Multimodal Emotion…AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild (2017)AffectNet: A Database for Fac…A review of affective computing: From unimodal analysis to multimodal fusion (2017)A review of affective computi…Introducing the RECOLA multimodal corpus of remote collaborative and affective interactions (2013)Introducing the RECOLA multim…A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)A Survey of Affect Recognitio…A Note On "A Concordance Correlation Coefficient to Evaluate Reproducibility" (1997)A Note On "A Concordance Corr…A Concordance Correlation Coefficient to Evaluate Reproducibility (1989)A Concordance Correlation Coe…Exploring contactless techniques in multimodal emotion recognition: insights into diverse applications, challenges, solutions, and prospects (2024)Exploring contactless techniq…A systematic review of trimodal affective computing approaches: Text, audio, and visual integration in emotion recognition and sentiment analysis (2024)A systematic review of trimod…Speech emotion recognition using machine learning — A systematic review (2023)Speech emotion recognition us…Machine learning based approaches for clinical and non-clinical depression recognition and depression relapse prediction using audiovisual and EEG modalities: A comprehensive review (2023)Machine learning based approa…DTL-I-ResNet18: facial emotion recognition based on deep transfer learning and improved ResNet18 (2023)DTL-I-ResNet18: facial emotio…COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognition (2023)COLD Fusion: Calibrated and O…Audio–Visual Fusion for Emotion Recognition in the Valence–Arousal Space Using Joint Cross-Attention (2023)Audio–Visual Fusion for Emoti…A Transformer-Based Model With Self-Distillation for Multimodal Emotion Recognition in Conversations (2023)A Transformer-Based Model Wit…A study on computer vision for facial emotion recognition (2023)A study on computer vision fo…Automated emotion recognition: Current trends and future perspectives (2022)Automated emotion recognition…Ad-Corre: Adaptive Correlation-Based Loss for Facial Expression Recognition in the Wild (2022)Ad-Corre: Adaptive Correlatio…A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition (2022)A Joint Cross-Attention Model…Multimodal Engagement Analysis From Facial Videos in the Classroom (2021)Multimodal Engagement Analysi…Cross Attentional Audio-Visual Fusion for Dimensional Emotion Recognition (2021)Cross Attentional Audio-Visua…A circumplex model of affect. 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References

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  • 2017Multi-Objective Based Spatio-Temporal Feature Representation Learning Robust to Expression Intensity Variations for Facial Expression Recognition257 cited
  • 2019Deep Learning for Human Affect Recognition: Insights and New Developments

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243 cited

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  • 2023A study on computer vision for facial emotion recognition151 cited
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  • 2023Speech emotion recognition using machine learning — A systematic review137 cited
  • 2022A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition113 cited
  • 2023Machine learning based approaches for clinical and non-clinical depression recognition and depression relapse prediction using audiovisual and EEG modalities: A comprehensive review90 cited
  • 2024A systematic review of trimodal affective computing approaches: Text, audio, and visual integration in emotion recognition and sentiment analysis81 cited
  • 2023COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognition70 cited
  • 2023Audio–Visual Fusion for Emotion Recognition in the Valence–Arousal Space Using Joint Cross-Attention62 cited
  • 2024Exploring contactless techniques in multimodal emotion recognition: insights into diverse applications, challenges, solutions, and prospects56 cited
  • 2021Cross Attentional Audio-Visual Fusion for Dimensional Emotion Recognition55 cited
  • 2023DTL-I-ResNet18: facial emotion recognition based on deep transfer learning and improved ResNet1855 cited