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Training Strategies to Handle Missing Modalities for Audio-Visual Expression Recognition
12 references·3 citing·52 second hop
Training Strategies to Handle Missing Modalities for Audio-Visual Expression Recognition (2020)Training Strategies to Handle Missing Mod…Improved End-to-End Speech Emotion Recognition Using Self Attention Mechanism and Multitask Learning (2019)Improved End-to-End Speech Em…Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFace (2019)Expression, Affect, Action Un…Emotion Recognition in Speech using Cross-Modal Transfer in the Wild (2018)Emotion Recognition in Speech…Audiovisual emotion recognition in wild (2018)Audiovisual emotion recogniti…Aff-Wild2: Extending the Aff-Wild Database for Affect Recognition (2018)Aff-Wild2: Extending the Aff-…Temporal multimodal fusion for video emotion classification in the wild (2017)Temporal multimodal fusion fo…Progressive Neural Networks for Transfer Learning in Emotion Recognition (2017)Progressive Neural Networks f…Learning supervised scoring ensemble for emotion recognition in the wild (2017)Learning supervised scoring e…Analysis of physiological signals for recognition of boredom, pain, and surprise emotions (2015)Analysis of physiological sig…A review of depression and suicide risk assessment using speech analysis (2015)A review of depression and su…The INTERSPEECH 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism (2013)The INTERSPEECH 2013 computat…Fear-type emotion recognition for future audio-based surveillance systems (2008)Fear-type emotion recognition…SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for incomplete multimodal learning in conversational emotion recognition (2024)SDR-GNN: Spectral Domain Reco…A novel transformer autoencoder for multi-modal emotion recognition with incomplete data (2024)A novel transformer autoencod…Robust Audiovisual Emotion Recognition: Aligning Modalities, Capturing Temporal Information, and Handling Missing Features (2022)Robust Audiovisual Emotion Re…Handbook of Emotions (1993)Finding flow: the psychology of engagement with everyday life (1997)Toward machine emotional intelligence: analysis of affective physiological state (2001)Sentiment analysis and affective computing for depression monitoring (2017)Survey on AI-Based Multimodal Methods for Emotion Detection (2019)Measurement and identification of mental workload during simulated computer tasks with multimodal methods and machine learning (2020)The PHQ-9 (2001)Diagnostic and Statistical Manual of Mental Disorders (2013)Diagnostic and Statistical Manual of Mental Disorders (2013)AVEC 2017 (2017)AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition (2019)Automated assessment of psychiatric disorders using speech: A systematic review (2020)Using uh and um in spontaneous speaking (2002)Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge (2011)AVEC 2016 (2016)End-to-End Multimodal Emotion Recognition Using Deep Neural Networks (2017)Social Signal Processing (2017)The expression of the emotions in man and animals. (1872)Coefficient Alpha and the Internal Structure of Tests (1951)The Measurement of Observer Agreement for Categorical Data (1977)A Survey on Perception Methods for Human–Robot Interaction in Social Robots (2013)A survey of speech emotion recognition in natural environment (2020)Facial Action Coding System (1978)The Structure of Current Affect (1999)Collecting Large, Richly Annotated Facial-Expression Databases from Movies (2012)A visual attention based ROI detection method for facial expression recognition (2018)Multi-region Ensemble Convolutional Neural Network for Facial Expression Recognition (2018)Ad-Corre: Adaptive Correlation-Based Loss for Facial Expression Recognition in the Wild (2022)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)Combining modality specific deep neural networks for emotion recognition in video (2013)Video-based emotion recognition using CNN-RNN and C3D hybrid networks (2016)Multi-Feature Based Emotion Recognition for Video Clips (2018)Expression snippet transformer for robust video-based facial expression recognition (2023)Analysis of emotion recognition using facial expressions, speech and multimodal information (2004)Feature Extraction and Selection for Emotion Recognition from EEG (2014)3D CNN-Based Speech Emotion Recognition Using K-Means Clustering and Spectrograms (2019)Automated accurate speech emotion recognition system using twine shuffle pattern and iterative neighborhood component analysis techniques (2020)Attention guided 3D CNN-LSTM model for accurate speech based emotion recognition (2021)A database of German emotional speech (2005)IEMOCAP: interactive emotional dyadic motion capture database (2008)Training deep networks for facial expression recognition with crowd-sourced label distribution (2016)Affective computing in education: A systematic review and future research (2019)Adaptively Learning Facial Expression Representation via C-F Labels and Distillation (2021)Dive into Ambiguity: Latent Distribution Mining and Pairwise Uncertainty Estimation for Facial Expression Recognition (2021)The INTERSPEECH 2009 emotion challenge (2009)Automatic speech emotion recognition using recurrent neural networks with local attention (2017)Att-Net: Enhanced emotion recognition system using lightweight self-attention module (2021)Automated emotion recognition: Current trends and future perspectives (2022)Emotion recognition from unimodal to multimodal analysis: A review (2023)Exploiting multi-CNN features in CNN-RNN based dimensional emotion recognition on the OMG in-the-wild dataset (2020)Analysing Affective Behavior in the second ABAW2 Competition (2021)Py-Feat: Python Facial Expression Analysis Toolbox (2023)
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References

  • 2015A review of depression and suicide risk assessment using speech analysis1,007 cited
  • 2013The INTERSPEECH 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism733 cited
  • 2018Emotion Recognition in Speech using Cross-Modal Transfer in the Wild297 cited
  • 2019Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFace210 cited
  • 2019Improved End-to-End Speech Emotion Recognition Using Self Attention Mechanism and Multitask Learning197 cited
  • 2008Fear-type emotion recognition for future audio-based surveillance systems180 cited
  • 2017Temporal multimodal fusion for video emotion classification in the wild179 cited
  • 2017Learning supervised scoring ensemble for emotion recognition in the wild162 cited
  • 2018Audiovisual emotion recognition in wild161 cited
  • 2015Analysis of physiological signals for recognition of boredom, pain, and surprise emotions159 cited
  • 2017Progressive Neural Networks for Transfer Learning in Emotion Recognition129 cited
  • 2018Aff-Wild2: Extending the Aff-Wild Database for Affect Recognition103 cited

Cited by

  • 2024SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for incomplete multimodal learning in conversational emotion recognition57 cited
  • 2022Robust Audiovisual Emotion Recognition: Aligning Modalities, Capturing Temporal Information, and Handling Missing Features

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53 cited
  • 2024A novel transformer autoencoder for multi-modal emotion recognition with incomplete data48 cited