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MER 2024: Semi-Supervised Learning, Noise Robustness, and Open-Vocabulary Multimodal Emotion Recognition
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MER 2024: Semi-Supervised Learning, Noise Robustness, and Open-Vocabulary Multimodal Emotion Recognition (2024)MER 2024: Semi-Supervised Learning, Noise…MER 2023: Multi-label Learning, Modality Robustness, and Semi-Supervised Learning (2023)MER 2023: Multi-label Learnin…Learning Deep Global Multi-Scale and Local Attention Features for Facial Expression Recognition in the Wild (2021)Learning Deep Global Multi-Sc…CTNet: Conversational Transformer Network for Emotion Recognition (2021)CTNet: Conversational Transfo…MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations (2019)MELD: A Multimodal Multi-Part…Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild (2017)Reliable Crowdsourcing and De…The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2015)The Geneva Minimalistic Acous…EmoNets: Multimodal deep learning approaches for emotion recognition in video (2015)EmoNets: Multimodal deep lear…Collecting Large, Richly Annotated Facial-Expression Databases from Movies (2012)Recurrent Neural Networks for Emotion Recognition in Video (2015)Automatic Analysis of Facial Actions: A Survey (2017)Extended deep neural network for facial emotion recognition (2019)Acoustic profiles in vocal emotion expression. (1996)Praat, a system for doing phonetics by computer (2002)A database of German emotional speech (2005)Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network (2016)End-to-End Multimodal Emotion Recognition Using Deep Neural Networks (2017)Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review (2020)Facial Action Coding System (1978)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)Occlusion Aware Facial Expression Recognition Using CNN With Attention Mechanism (2018)Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition (2020)Suppressing Uncertainties for Large-Scale Facial Expression Recognition (2020)Measuring emotion: The self-assessment manikin and the semantic differential (1994)IEMOCAP: interactive emotional dyadic motion capture database (2008)A review of affective computing: From unimodal analysis to multimodal fusion (2017)DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation (2019)COSMIC: COmmonSense knowledge for eMotion Identification in Conversations (2020)A systematic review on affective computing: emotion models, databases, and recent advances (2022)AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild (2017)Vision Transformer With Attentive Pooling for Robust Facial Expression Recognition (2022)Understanding Deep Learning Techniques for Recognition of Human Emotions Using Facial Expressions: A Comprehensive Survey (2023)POSTER++: A simpler and stronger facial expression recognition network (2024)AVEC 2013 (2013)A Survey of Deep Learning-Based Multimodal Emotion Recognition: Speech, Text, and Face (2023)Deep learning-based multimodal emotion recognition from audio, visual, and text modalities: A systematic review of recent advancements and future prospects (2023)Transformer-based multimodal feature enhancement networks for multimodal depression detection integrating video, audio and remote photoplethysmograph signals (2023)
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References

  • 2015The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing1,815 cited
  • 2017Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild1,467 cited
  • 2019MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations1,413 cited
  • 2015EmoNets: Multimodal deep learning approaches for emotion recognition in video413 cited
  • 2021Learning Deep Global Multi-Scale and Local Attention Features for Facial Expression Recognition in the Wild381 cited
  • 2021CTNet: Conversational Transformer Network for Emotion Recognition299 cited
  • 2023MER 2023: Multi-label Learning, Modality Robustness, and Semi-Supervised Learning70 cited

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