SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Deep learning based FACS Action Unit occurrence and intensity estimation
5 references·15 citing·43 second hop
Deep learning based FACS Action Unit occurrence and intensity estimation (2015)Deep learning based FACS Action Unit occu…FERA 2015 - second Facial Expression Recognition and Analysis challenge (2015)FERA 2015 - second Facial Exp…The first facial expression recognition and analysis challenge (2011)The first facial expression r…Emotion-Induced Engagement in Internet Video Advertisements (2011)Emotion-Induced Engagement in…Toward an affect-sensitive multimodal human-computer interaction (2003)Toward an affect-sensitive mu…Facial signs of emotional experience. (1980)Facial signs of emotional exp…Identifying emotions from facial expressions using a deep convolutional neural network-based approach (2023)Identifying emotions from fac…Human Emotions Recognition, Analysis and Transformation by the Bioenergy Field in Smart Grid Using Image Processing (2022)Human Emotions Recognition, A…Facial emotion recognition using convolutional neural networks (2021)Facial emotion recognition us…FusionSense: Emotion Classification Using Feature Fusion of Multimodal Data and Deep Learning in a Brain-Inspired Spiking Neural Network (2020)FusionSense: Emotion Classifi…Facial Expression Recognition With Deeply-Supervised Attention Network (2020)Facial Expression Recognition…SchiNet: Automatic Estimation of Symptoms of Schizophrenia from Facial Behaviour Analysis (2019)SchiNet: Automatic Estimation…Facial Expression Recognition via Deep Action Units Graph Network Based on Psychological Mechanism (2019)Facial Expression Recognition…Emotion recognition from facial expression using deep convolutional neural network (2019)Emotion recognition from faci…Weakly-Supervised Deep Convolutional Neural Network Learning for Facial Action Unit Intensity Estimation (2018)Weakly-Supervised Deep Convol…Feature Selection Mechanism in CNNs for Facial Expression Recognition. (2018)Feature Selection Mechanism i…Using Synthetic Data to Improve Facial Expression Analysis with 3D Convolutional Networks (2017)Using Synthetic Data to Impro…Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition (2017)Incremental Boosting Convolut…Enhancing CNN with Preprocessing Stage in Automatic Emotion Recognition (2017)Enhancing CNN with Preprocess…Audio-visual emotion recognition using deep transfer learning and multiple temporal models (2017)Audio-visual emotion recognit…A Deep Learning Perspective on the Origin of Facial Expressions (2017)A Deep Learning Perspective o…Facial Action Coding System (1978)Intraclass correlations: Uses in assessing rater reliability. (1979)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)AV+EC 2015 (2015)Spatio-temporal convolutional features with nested LSTM for facial expression recognition (2018)SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild (2019)The expression of the emotions in man and animals. (1872)What Good Are Positive Emotions? (1998)Not All Fun and Games: Viral Marketing for Utilitarian Products (2013)Unstructured data in marketing (2018)What you Feel, Is what you like Influence of Message Appeals on Customer Engagement on Instagram (2019)Cognitive, social, and physiological determinants of emotional state. (1962)Psychological stress and the coping process (1966)The distinction between sympathy and empathy: To call forth a concept, a word is needed. (1986)Perceiving Affective Content in Ambiguous Visual Stimuli: A Component of Emotional Intelligence (1990)Self-report captures 27 distinct categories of emotion bridged by continuous gradients (2017)An argument for basic emotions (1992)Comprehensive database for facial expression analysis (2002)Automatic Analysis of Facial Actions: A Survey (2017)Facial expression analysis with AFFDEX and FACET: A validation study (2017)Facial emotion recognition using deep learning: review and insights (2020)Emotional Intelligence (1990)Affective Computing (1997)Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge (2011)Social Signal Processing (2017)Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers (2019)The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression (2010)Big Data Deep Learning: Challenges and Perspectives (2014)A Survey of AI-Based Facial Emotion Recognition: Features, ML & DL Techniques, Age-Wise Datasets and Future Directions (2021)Understanding and Mitigating Annotation Bias in Facial Expression Recognition (2021)DISFA: A Spontaneous Facial Action Intensity Database (2013)Deeper cascaded peak-piloted network for weak expression recognition (2017)FATAUVA-Net: An Integrated Deep Learning Framework for Facial Attribute Recognition, Action Unit Detection, and Valence-Arousal Estimation (2017)Facial expression recognition using bidirectional LSTM - CNN (2023)Static facial expression analysis in tough conditions: Data, evaluation protocol and benchmark (2011)Collecting Large, Richly Annotated Facial-Expression Databases from Movies (2012)Recurrent Neural Networks for Emotion Recognition in Video (2015)Using CNN for facial expression recognition: a study of the effects of kernel size and number of filters on accuracy (2019)Facial emotion recognition based real-time learner engagement detection system in online learning context using deep learning models (2022)Image-based facial emotion recognition using convolutional neural network on emognition dataset (2024)Facial geometric feature extraction based emotional expression classification using machine learning algorithms (2021)An EEG Data Processing Approach for Emotion Recognition (2022)New Trends in Emotion Recognition Using Image Analysis by Neural Networks, a Systematic Review (2023)
this work references cited by second hop

References

  • 1980Facial signs of emotional experience.888 cited
  • 2003Toward an affect-sensitive multimodal human-computer interaction792 cited
  • 2011Emotion-Induced Engagement in Internet Video Advertisements436 cited
  • 2011The first facial expression recognition and analysis challenge385 cited
  • 2015FERA 2015 - second Facial Expression Recognition and Analysis challenge251 cited

Cited by

  • 2017Enhancing CNN with Preprocessing Stage in Automatic Emotion Recognition141 cited
  • 2019Emotion recognition from facial expression using deep convolutional neural network114 cited
  • 2023Identifying emotions from facial expressions using a deep convolutional neural network-based approach113 cited
  • 2021Facial emotion recognition using convolutional neural networks104 cited
  • 2017Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition97 cited
  • 2017Audio-visual emotion recognition using deep transfer learning and multiple temporal models92 cited
  • 2017A Deep Learning Perspective on the Origin of Facial Expressions92 cited
  • 2020Facial Expression Recognition With Deeply-Supervised Attention Network88 cited
  • 2019SchiNet: Automatic Estimation of Symptoms of Schizophrenia from Facial Behaviour Analysis76 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2018Feature Selection Mechanism in CNNs for Facial Expression Recognition.76 cited
  • 2017Using Synthetic Data to Improve Facial Expression Analysis with 3D Convolutional Networks76 cited
  • 2019Facial Expression Recognition via Deep Action Units Graph Network Based on Psychological Mechanism67 cited
  • 2022Human Emotions Recognition, Analysis and Transformation by the Bioenergy Field in Smart Grid Using Image Processing64 cited
  • 2018Weakly-Supervised Deep Convolutional Neural Network Learning for Facial Action Unit Intensity Estimation59 cited
  • 2020FusionSense: Emotion Classification Using Feature Fusion of Multimodal Data and Deep Learning in a Brain-Inspired Spiking Neural Network51 cited