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PersEmoN: A Deep Network for Joint Analysis of Apparent Personality, Emotion and Their Relationship
16 references·0 citing·52 second hopsampled
PersEmoN: A Deep Network for Joint Analysis of Apparent Personality, Emotion and Their Relationship (2019)PersEmoN: A Deep Network for Joint Analys…First Impressions: A Survey on Vision-Based Apparent Personality Trait Analysis (2019)First Impressions: A Survey o…AMIGOS: A Dataset for Affect, Personality and Mood Research on Individuals and Groups (2018)AMIGOS: A Dataset for Affect,…AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild (2017)AffectNet: A Database for Fac…Aff-Wild: Valence and Arousal ‘In-the-Wild’ Challenge (2017)Aff-Wild: Valence and Arousal…Multimodal emotion recognition using deep learning architectures (2016)Multimodal emotion recognitio…EmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild (2016)EmotioNet: An Accurate, Real-…ChaLearn LAP 2016: First Round Challenge on First Impressions - Dataset and Results (2016)ChaLearn LAP 2016: First Roun…ASCERTAIN: Emotion and Personality Recognition Using Commercial Sensors (2016)ASCERTAIN: Emotion and Person…A Survey of Personality Computing (2014)A Survey of Personality Compu…Deep learning for robust feature generation in audiovisual emotion recognition (2013)Deep learning for robust feat…The Oxford Companion to Emotion and the Affective Sciences (2010)The Oxford Companion to Emoti…Personality Judgments Based on Physical Appearance (2009)Personality Judgments Based o…Fooled by first impressions? Reexamining the diagnostic value of appearance-based inferences (2009)Fooled by first impressions? …Predicting the Big Two of Affect from the Big Five of Personality (2001)Predicting the Big Two of Aff…Dimensions of Personality (1991)Dimensions of PersonalityA circumplex model of affect. (1980)A circumplex model of affect.Toward detecting emotions in spoken dialogs (2005)IEMOCAP: interactive emotional dyadic motion capture database (2008)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Hierarchical Convolutional Neural Networks for EEG-Based Emotion Recognition (2017)Learning Affective Features With a Hybrid Deep Model for Audio–Visual Emotion Recognition (2017)Speech Emotion Recognition From 3D Log-Mel Spectrograms With Deep Learning Network (2019)Drives and the C. N. S. (conceptual nervous system). (1955)The psychological significance of the concept of "arousal" or "activation." (1957)A theory of motivation for some classroom experiences. 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(2010)You are what you tweet: Personality expression and perception on Twitter (2012)Nonverbal Communication (2018)The Principles of Psychology (1891)Hedges: A Study in Meaning Criteria and the Logic of Fuzzy Concepts (1975)The robust beauty of improper linear models in decision making. (1979)Culture and the Self: Implications for Cognition, Emotion, and Motivation (1991)Measuring emotion: The self-assessment manikin and the semantic differential (1994)The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression (2010)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)Influence of extraversion and neuroticism on subjective well-being: Happy and unhappy people. (1980)DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)EEG-Based Emotion Recognition: A State-of-the-Art Review of Current Trends and Opportunities (2020)Self-Supervised ECG Representation Learning for Emotion Recognition (2020)Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations (2023)Coefficient Alpha and the Internal Structure of Tests (1951)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)TSception: Capturing Temporal Dynamics and Spatial Asymmetry From EEG for Emotion Recognition (2022)A Coefficient of Agreement for Nominal Scales (1960)Occlusion Aware Facial Expression Recognition Using CNN With Attention Mechanism (2018)Deep Facial Expression Recognition: A Survey (2020)Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition (2020)
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References

  • 1980A circumplex model of affect.16,320 cited
  • 2017AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild2,335 cited
  • 1991Dimensions of Personality1,332 cited
  • 2018AMIGOS: A Dataset for Affect, Personality and Mood Research on Individuals and Groups717 cited
  • 2016EmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild613 cited
  • 2014A Survey of Personality Computing541 cited
  • 2009Personality Judgments Based on Physical Appearance538 cited
  • 2016ASCERTAIN: Emotion and Personality Recognition Using Commercial Sensors538 cited
  • 2013Deep learning for robust feature generation in audiovisual emotion recognition401 cited
  • 2009Fooled by first impressions? Reexamining the diagnostic value of appearance-based inferences308 cited
  • 2017Aff-Wild: Valence and Arousal ‘In-the-Wild’ Challenge302 cited
  • 2016Multimodal emotion recognition using deep learning architectures249 cited
  • 2016ChaLearn LAP 2016: First Round Challenge on First Impressions - Dataset and Results215 cited
  • 2010The Oxford Companion to Emotion and the Affective Sciences169 cited
  • 2001Predicting the Big Two of Affect from the Big Five of Personality

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119 cited
  • 2019First Impressions: A Survey on Vision-Based Apparent Personality Trait Analysis91 cited
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