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Multi-modal emotion recognition using semi-supervised learning and multiple neural networks in the wild
9 references·4 citing·43 second hop
Multi-modal emotion recognition using semi-supervised learning and multiple neural networks in the wild (2017)Multi-modal emotion recognition using sem…From individual to group-level emotion recognition: EmotiW 5.0 (2017)From individual to group-leve…Video-based emotion recognition using CNN-RNN and C3D hybrid networks (2016)Video-based emotion recogniti…HoloNet: towards robust emotion recognition in the wild (2016)HoloNet: towards robust emoti…Emotion recognition in the wild from videos using images (2016)Emotion recognition in the wi…Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition (2015)Joint Fine-Tuning in Deep Neu…Collecting Large, Richly Annotated Facial-Expression Databases from Movies (2012)Collecting Large, Richly Anno…The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression (2010)The Extended Cohn-Kanade Data…EEG-Based Emotion Recognition in Music Listening (2010)EEG-Based Emotion Recognition…An argument for basic emotions (1992)An argument for basic emotionsMultitask Learning From Augmented Auxiliary Data for Improving Speech Emotion Recognition (2022)Multitask Learning From Augme…Multimodal Attention Network for Continuous-Time Emotion Recognition Using Video and EEG Signals (2020)Multimodal Attention Network …Feature-Level and Model-Level Audiovisual Fusion for Emotion Recognition in the Wild (2019)Feature-Level and Model-Level…Deep Fusion: An Attention Guided Factorized Bilinear Pooling for Audio-video Emotion Recognition (2019)Deep Fusion: An Attention Gui…The expression of the emotions in man and animals. (1872)Nebraska Symposium on Motivation: 1955 (1957)Emotion And Adaptation (1991)The Emerging Field of Emotion Regulation: An Integrative Review (1998)Well-being : the foundations of hedonic psychology (1999)Handbook of Positive Psychology (2001)Web-Based Database for Facial Expression Analysis (2005)EmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild (2016)A circumplex model of affect. (1980)Toward machine emotional intelligence: analysis of affective physiological state (2001)Emotion recognition based on physiological changes in music listening (2008)Identifying Stable Patterns over Time for Emotion Recognition from EEG (2017)A Review of Emotion Recognition Using Physiological Signals (2018)EEG-Based Emotion Recognition Using Regularized Graph Neural Networks (2020)Facial Action Coding System (1978)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)EmotiW 2016: video and group-level emotion recognition challenges (2016)Training deep networks for facial expression recognition with crowd-sourced label distribution (2016)Spatio-temporal convolutional features with nested LSTM for facial expression recognition (2018)Eyemotion: Classifying Facial Expressions in VR Using Eye-Tracking Cameras (2019)Emotion recognition using a hierarchical binary decision tree approach (2011)Combining modality specific deep neural networks for emotion recognition in video (2013)A visual attention based ROI detection method for facial expression recognition (2018)A Survey of AI-Based Facial Emotion Recognition: Features, ML & DL Techniques, Age-Wise Datasets and Future Directions (2021)Landmark guidance independent spatio-channel attention and complementary context information based facial expression recognition (2021)Deep Learning for Emotion Recognition on Small Datasets using Transfer Learning (2015)Image based Static Facial Expression Recognition with Multiple Deep Network Learning (2015)Learning supervised scoring ensemble for emotion recognition in the wild (2017)Temporal multimodal fusion for video emotion classification in the wild (2017)A comprehensive survey on deep facial expression recognition: challenges, applications, and future guidelines (2023)A database of German emotional speech (2005)IEMOCAP: interactive emotional dyadic motion capture database (2008)MSP-IMPROV: An Acted Corpus of Dyadic Interactions to Study Emotion Perception (2016)Refashioning Emotion Recognition Modeling: The Advent of Generalized Large Models (2024)AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild (2017)Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild (2017)Deep Facial Expression Recognition: A Survey (2020)A Brief Review of Facial Emotion Recognition Based on Visual Information (2018)Reliable Crowdsourcing and Deep Locality-Preserving Learning for Unconstrained Facial Expression Recognition (2018)A systematic review on affective computing: emotion models, databases, and recent advances (2022)Facial Expression Recognition Using Enhanced Deep 3D Convolutional Neural Networks (2017)Hybrid deep neural networks for face emotion recognition (2018)Context-Aware Emotion Recognition Networks (2019)
this work references cited by second hop

References

  • 1992An argument for basic emotions9,642 cited
  • 2010The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression4,299 cited
  • 2010EEG-Based Emotion Recognition in Music Listening1,023 cited
  • 2015Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition782 cited
  • 2012Collecting Large, Richly Annotated Facial-Expression Databases from Movies664 cited
  • 2016Video-based emotion recognition using CNN-RNN and C3D hybrid networks557 cited
  • 2017From individual to group-level emotion recognition: EmotiW 5.0218 cited
  • 2016Emotion recognition in the wild from videos using images173 cited
  • 2016HoloNet: towards robust emotion recognition in the wild115 cited

Cited by

  • 2022Multitask Learning From Augmented Auxiliary Data for Improving Speech Emotion Recognition42 cited
  • 2019Feature-Level and Model-Level Audiovisual Fusion for Emotion Recognition in the Wild41 cited
  • 2019Deep Fusion: An Attention Guided Factorized Bilinear Pooling for Audio-video Emotion Recognition41 cited
  • 2020Multimodal Attention Network for Continuous-Time Emotion Recognition Using Video and EEG Signals39 cited

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