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SchiNet: Automatic Estimation of Symptoms of Schizophrenia from Facial Behaviour Analysis
8 references·1 citing·42 second hop
SchiNet: Automatic Estimation of Symptoms of Schizophrenia from Facial Behaviour Analysis (2019)SchiNet: Automatic Estimation of Symptoms…Automatic Analysis of Facial Actions: A Survey (2017)Automatic Analysis of Facial …EmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild (2016)EmotioNet: An Accurate, Real-…Deep learning based FACS Action Unit occurrence and intensity estimation (2015)Deep learning based FACS Acti…Vocal and Facial Biomarkers of Depression based on Motor Incoordination and Timing (2014)Vocal and Facial Biomarkers o…A high-resolution spontaneous 3D dynamic facial expression database (2013)A high-resolution spontaneous…Automated Facial Action Coding System for dynamic analysis of facial expressions in neuropsychiatric disorders (2011)Automated Facial Action Codin…Automated video-based facial expression analysis of neuropsychiatric disorders (2007)Automated video-based facial …Spontaneous vs. posed facial behavior (2006)Spontaneous vs. posed facial …ResEmoteNet: Bridging Accuracy and Loss Reduction in Facial Emotion Recognition (2024)ResEmoteNet: Bridging Accurac…Facial signs of emotional experience. (1980)Toward an affect-sensitive multimodal human-computer interaction (2003)Emotion-Induced Engagement in Internet Video Advertisements (2011)Enhancing CNN with Preprocessing Stage in Automatic Emotion Recognition (2017)Emotion recognition from facial expression using deep convolutional neural network (2019)Identifying emotions from facial expressions using a deep convolutional neural network-based approach (2023)Comprehensive database for facial expression analysis (2002)Facial expression recognition from video sequences: temporal and static modeling (2003)Web-Based Database for Facial Expression Analysis (2005)Depression recognition based on dynamic facial and vocal expression features using partial least square regression (2013)FERA 2015 - second Facial Expression Recognition and Analysis challenge (2015)Automatic Assessment of Depression Based on Visual Cues: A Systematic Review (2017)Facial Action Coding System (1978)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)BAUM-1: A Spontaneous Audio-Visual Face Database of Affective and Mental States (2016)A comprehensive survey on deep facial expression recognition: challenges, applications, and future guidelines (2023)Emotion Recognition Using Different Sensors, Emotion Models, Methods and Datasets: A Comprehensive Review (2023)Recognizing Facial Expression: Machine Learning and Application to Spontaneous Behavior (2005)Automated Face Analysis for Affective Computing (2014)Emotional expression in psychiatric conditions: New technology for clinicians (2018)Deep Neural Networks for Depression Recognition Based on 2D and 3D Facial Expressions Under Emotional Stimulus Tasks (2021)The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression (2010)The computer expression recognition toolbox (CERT) (2011)Multimodal Depression Detection: Fusion Analysis of Paralinguistic, Head Pose and Eye Gaze Behaviors (2016)Dynamic Multimodal Measurement of Depression Severity Using Deep Autoencoding (2017)Multimodal Measurement of Depression Using Deep Learning Models (2017)Thin slices of expressive behavior as predictors of interpersonal consequences: A meta-analysis. (1992)A survey of affect recognition methods (2007)A Dynamic Appearance Descriptor Approach to Facial Actions Temporal Modeling (2013)We are not All Equal (2014)Collecting Large, Richly Annotated Facial-Expression Databases from Movies (2012)DISFA: A Spontaneous Facial Action Intensity Database (2013)Facial Expression Recognition with Inconsistently Annotated Datasets (2018)Context-Aware Emotion Recognition Networks (2019)A systematic review on affective computing: emotion models, databases, and recent advances (2022)The expression of the emotions in man and animals. (1872)Efficient Facial Expression Recognition Algorithm Based on Hierarchical Deep Neural Network Structure (2019)A performance comparison of eight commercially available automatic classifiers for facial affect recognition (2020)Investigating Bias and Fairness in Facial Expression Recognition (2020)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)Distract Your Attention: Multi-Head Cross Attention Network for Facial Expression Recognition (2023)
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References

  • 2016EmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild613 cited
  • 2017Automatic Analysis of Facial Actions: A Survey353 cited
  • 2011Automated Facial Action Coding System for dynamic analysis of facial expressions in neuropsychiatric disorders288 cited
  • 2013A high-resolution spontaneous 3D dynamic facial expression database237 cited
  • 2014Vocal and Facial Biomarkers of Depression based on Motor Incoordination and Timing209 cited
  • 2015Deep learning based FACS Action Unit occurrence and intensity estimation178 cited
  • 2006Spontaneous vs. posed facial behavior166 cited
  • 2007Automated video-based facial expression analysis of neuropsychiatric disorders90 cited

Cited by

  • 2024ResEmoteNet: Bridging Accuracy and Loss Reduction in Facial Emotion Recognition56 cited

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