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Facial Emotion Recognition Using an Ensemble of Multi-Level Convolutional Neural Networks
8 references·6 citing·39 second hop
Facial Emotion Recognition Using an Ensemble of Multi-Level Convolutional Neural Networks (2018)Facial Emotion Recognition Using an Ensem…Hierarchical committee of deep convolutional neural networks for robust facial expression recognition (2016)Hierarchical committee of dee…Going deeper in facial expression recognition using deep neural networks (2016)Going deeper in facial expres…Image based Static Facial Expression Recognition with Multiple Deep Network Learning (2015)Image based Static Facial Exp…DISFA: A Spontaneous Facial Action Intensity Database (2013)DISFA: A Spontaneous Facial A…Affectiva-MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected "In-the-Wild" (2013)Affectiva-MIT Facial Expressi…The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression (2010)The Extended Cohn-Kanade Data…Web-Based Database for Facial Expression Analysis (2005)Web-Based Database for Facial…Constants across cultures in the face and emotion. (1971)Constants across cultures in …Facial emotion recognition: A comprehensive review (2024)Facial emotion recognition: A…A Fast CPU Real-Time Facial Expression Detector Using Sequential Attention Network for Human–Robot Interaction (2022)A Fast CPU Real-Time Facial E…Facial geometric feature extraction based emotional expression classification using machine learning algorithms (2021)Facial geometric feature extr…Expression EEG Multimodal Emotion Recognition Method Based on the Bidirectional LSTM and Attention Mechanism (2021)Expression EEG Multimodal Emo…EmNet: a deep integrated convolutional neural network for facial emotion recognition in the wild (2021)EmNet: a deep integrated conv…Dual integrated convolutional neural network for real-time facial expression recognition in the wild (2021)Dual integrated convolutional…The expression of the emotions in man and animals. 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(1979)Automatic Analysis of Facial Affect: A Survey of Registration, Representation, and Recognition (2014)A Brief Review of Facial Emotion Recognition Based on Visual Information (2018)AMIGOS: A Dataset for Affect, Personality and Mood Research on Individuals and Groups (2018)Design Patterns: Elements of Reusable Object-Oriented Software (1994)Comprehensive database for facial expression analysis (2002)CREMA-D: Crowd-Sourced Emotional Multimodal Actors Dataset (2014)Occlusion Aware Facial Expression Recognition Using CNN With Attention Mechanism (2018)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition (2017)Identity-Aware Convolutional Neural Network for Facial Expression Recognition (2017)A survey on facial emotion recognition techniques: A state-of-the-art literature review (2021)Collecting Large, Richly Annotated Facial-Expression Databases from Movies (2012)Combining modality specific deep neural networks for emotion recognition in video (2013)Facial Expression Recognition using Convolutional Neural Networks: State of the Art (2016)A snapshot research and implementation of multimodal information fusion for data-driven emotion recognition (2019)Speech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)Deep Facial Expression Recognition: A Survey (2020)Improved facial emotion recognition model based on a novel deep convolutional structure (2024)Review and Perspectives on Human Emotion for Connected Automated Vehicles (2024)The Perception of the Visual World. (1951)Facial signs of emotional experience. (1980)A deep-learning-based facial expression recognition method using textural features (2022)Artificial Emotional Intelligence: Conventional and deep learning approach (2022)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)Reliable Crowdsourcing and Deep Locality-Preserving Learning for Unconstrained Facial Expression Recognition (2018)
this work references cited by second hop

References

  • 1971Constants across cultures in the face and emotion.5,506 cited
  • 2010The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression4,299 cited
  • 2016Going deeper in facial expression recognition using deep neural networks1,117 cited
  • 2005Web-Based Database for Facial Expression Analysis1,104 cited
  • 2013DISFA: A Spontaneous Facial Action Intensity Database791 cited
  • 2015Image based Static Facial Expression Recognition with Multiple Deep Network Learning602 cited
  • 2016Hierarchical committee of deep convolutional neural networks for robust facial expression recognition243 cited
  • 2013Affectiva-MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected "In-the-Wild"234 cited

Cited by

  • 2021Dual integrated convolutional neural network for real-time facial expression recognition in the wild69 cited
  • 2021Facial geometric feature extraction based emotional expression classification using machine learning algorithms68 cited
  • 2022A Fast CPU Real-Time Facial Expression Detector Using Sequential Attention Network for Human–Robot Interaction60 cited
  • 2024Facial emotion recognition: A comprehensive review54 cited
  • 2021EmNet: a deep integrated convolutional neural network for facial emotion recognition in the wild46 cited

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2021
Expression EEG Multimodal Emotion Recognition Method Based on the Bidirectional LSTM and Attention Mechanism
39 cited