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Geometric-Convolutional Feature Fusion Based on Learning Propagation for Facial Expression Recognition
9 references·0 citing·36 second hop
Geometric-Convolutional Feature Fusion Based on Learning Propagation for Facial Expression Recognition (2018)Geometric-Convolutional Feature Fusion Ba…Deep Pain: Exploiting Long Short-Term Memory Networks for Facial Expression Classification (2017)Deep Pain: Exploiting Long Sh…Communication Without Words (2017)Communication Without WordsLOMo: Latent Ordinal Model for Facial Analysis in Videos (2016)LOMo: Latent Ordinal Model fo…Facial expression recognition with Convolutional Neural Networks: Coping with few data and the training sample order (2016)Facial expression recognition…Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition (2015)Joint Fine-Tuning in Deep Neu…The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression (2010)The Extended Cohn-Kanade Data…Emotion recognition with consideration of facial expression and physiological signals (2009)Emotion recognition with cons…Facial Action Coding System (1978)Facial Action Coding SystemConstants across cultures in the face and emotion. (1971)Constants across cultures in …The expression of the emotions in man and animals. (1872)Pan-Cultural Elements in Facial Displays of Emotion (1969)The Repertoire of Nonverbal Behavior: Categories, Origins, Usage, and Coding (1969)Patterns of cognitive appraisal in emotion. (1985)What's basic about basic emotions? (1990)On the universality and cultural specificity of emotion recognition: A meta-analysis. (2002)Toward machine emotional intelligence: analysis of affective physiological state (2001)Emotion recognition system using short-term monitoring of physiological signals (2004)Machines Outperform Laypersons in Recognizing Emotions Elicited by Autobiographical Recollection (2013)Physiological emotion analysis using support vector regression (2013)Analysis and Use of the Emotional Context with Wearable Devices for Games and Intelligent Assistants (2019)Facial expression recognition from video sequences: temporal and static modeling (2003)Painful data: The UNBC-McMaster shoulder pain expression archive database (2011)Facial Expression Recognition Using Frequency Neural Network (2020)Facial Expression Recognition With Deeply-Supervised Attention Network (2020)Multimodal Emotion Recognition Fusion Analysis Adapting BERT With Heterogeneous Feature Unification (2021)Comprehensive database for facial expression analysis (2002)The Expression of the Emotions in Man and Animals (2013)Spatial–Temporal Recurrent Neural Network for Emotion Recognition (2018)Detecting Affect States Using VGG16, ResNet50 and SE-ResNet50 Networks (2020)A systematic review on affective computing: emotion models, databases, and recent advances (2022)Handbook of pain assessment (1994)A snapshot research and implementation of multimodal information fusion for data-driven emotion recognition (2019)Automatic Recognition Methods Supporting Pain Assessment: A Survey (2019)Deep Learning for Human Affect Recognition: Insights and New Developments (2019)Cues to deception. (2003)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)The Prosocial Classroom: Teacher Social and Emotional Competence in Relation to Student and Classroom Outcomes (2008)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)Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition (2020)Real time facial expression recognition in video using support vector machines (2003)In the eye of the beholder? Universality and cultural specificity in the expression and perception of emotion (2011)
this work references cited by second hop

References

  • 1978Facial Action Coding System6,011 cited
  • 1971Constants across cultures in the face and emotion.5,823 cited
  • 2010The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression4,299 cited
  • 2017Communication Without Words887 cited
  • 2016Facial expression recognition with Convolutional Neural Networks: Coping with few data and the training sample order800 cited
  • 2015Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition782 cited
  • 2017Deep Pain: Exploiting Long Short-Term Memory Networks for Facial Expression Classification297 cited
  • 2016LOMo: Latent Ordinal Model for Facial Analysis in Videos95 cited
  • 2009Emotion recognition with consideration of facial expression and physiological signals50 cited

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