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Reducing noisy annotations for depression estimation from facial images
16 references·1 citing·45 second hopsampled
Reducing noisy annotations for depression estimation from facial images (2022)Reducing noisy annotations for depression…Deep learning for depression recognition with audiovisual cues: A review (2021)Deep learning for depression …Suppressing Uncertainties for Large-Scale Facial Expression Recognition (2020)Suppressing Uncertainties for…Spectral Representation of Behaviour Primitives for Depression Analysis (2020)Spectral Representation of Be…Multimodal Spatiotemporal Representation for Automatic Depression Level Detection (2020)Multimodal Spatiotemporal Rep…Automatic depression recognition using CNN with attention mechanism from videos (2020)Automatic depression recognit…Visually Interpretable Representation Learning for Depression Recognition from Facial Images (2018)Visually Interpretable Repres…Video-Based Depression Level Analysis by Encoding Deep Spatiotemporal Features (2018)Video-Based Depression Level …Automated depression analysis using convolutional neural networks from speech (2018)Automated depression analysis…Automated Depression Diagnosis Based on Deep Networks to Encode Facial Appearance and Dynamics (2017)Automated Depression Diagnosi…Automated Depression Diagnosis Based on Facial Dynamic Analysis and Sparse Coding (2015)Automated Depression Diagnosi…Vocal and Facial Biomarkers of Depression based on Motor Incoordination and Timing (2014)Vocal and Facial Biomarkers o…Vocal biomarkers of depression based on motor incoordination (2013)Vocal biomarkers of depressio…Risk factors for suicide in individuals with depression: A systematic review (2013)Risk factors for suicide in i…Depression recognition based on dynamic facial and vocal expression features using partial least square regression (2013)Depression recognition based …AVEC 2013 (2013)AVEC 2013Projections of Global Mortality and Burden of Disease from 2002 to 2030 (2006)Projections of Global Mortali…LMTformer: facial depression recognition with lightweight multi-scale transformer from videos (2024)LMTformer: facial depression …Development of a Rating Scale for Primary Depressive Illness (1967)Comparison of Beck Depression Inventories-IA and-II in Psychiatric Outpatients (1996)Affective Computing (1997)AVEC 2014 (2014)AVEC 2016 (2016)EEG Based Emotion Recognition: A Tutorial and Review (2022)Facial Action Coding System (1978)Speech emotion recognition using hidden Markov models (2003)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Multimodal Depression Detection: Fusion Analysis of Paralinguistic, Head Pose and Eye Gaze Behaviors (2016)Artificial Intelligent System for Automatic Depression Level Analysis Through Visual and Vocal Expressions (2017)Dynamic Multimodal Measurement of Depression Severity Using Deep Autoencoding (2017)Measuring inconsistency in meta-analyses (2003)Psychological autopsy studies of suicide: a systematic review (2003)Suicide (2009)Evidence for effective interventions to reduce mental-health-related stigma and discrimination (2015)Associations between screen time and lower psychological well-being among children and adolescents: Evidence from a population-based study (2018)Social determinants of mental disorders and the Sustainable Development Goals: a systematic review of reviews (2018)Modeling and Forecasting U. S. Mortality (1992)Alternative projections of mortality and disability by cause 1990–2020: Global Burden of Disease Study (1997)Counting the dead and what they died from: an assessment of the global status of cause of death data. (2005)ASSOCIATION BETWEEN SOCIAL MEDIA USE AND DEPRESSION AMONG U.S. YOUNG ADULTS (2016)Future life expectancy in 35 industrialised countries: projections with a Bayesian model ensemble (2017)Forecasting life expectancy, years of life lost, and all-cause and cause-specific mortality for 250 causes of death: reference and alternative scenarios for 2016–40 for 195 countries and territories (2018)Facial signs of emotional experience. (1980)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 Measurement of Depression Using Deep Learning Models (2017)The Epidemiology of Major Depressive Disorder (2003)Automatic Assessment of Depression Based on Visual Cues: A Systematic Review (2017)Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013 (2015)Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild (2017)A RATING SCALE FOR DEPRESSION (1960)A New Depression Scale Designed to be Sensitive to Change (1979)Diagnostic and Statistical Manual of Mental Disorders (2013)A Novel Approach for Classification of Speech Emotions Based on Deep and Acoustic Features (2020)Transformer-based multimodal feature enhancement networks for multimodal depression detection integrating video, audio and remote photoplethysmograph signals (2023)The expression of the emotions in man and animals. (1872)AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild (2017)Learning Deep Global Multi-Scale and Local Attention Features for Facial Expression Recognition in the Wild (2021)TransFER: Learning Relation-aware Facial Expression Representations with Transformers (2021)A systematic review on affective computing: emotion models, databases, and recent advances (2022)A circumplex model of affect. (1980)A multimodal fusion model with multi-level attention mechanism for depression detection (2022)Semi-Structural Interview-Based Chinese Multimodal Depression Corpus Towards Automatic Preliminary Screening of Depressive Disorders (2022)
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References

  • 2006Projections of Global Mortality and Burden of Disease from 2002 to 203011,372 cited
  • 2013Risk factors for suicide in individuals with depression: A systematic review1,468 cited
  • 2020Suppressing Uncertainties for Large-Scale Facial Expression Recognition771 cited
  • 2013AVEC 2013584 cited
  • 2018Visually Interpretable Representation Learning for Depression Recognition from Facial Images273 cited
  • 2017Automated Depression Diagnosis Based on Deep Networks to Encode Facial Appearance and Dynamics260 cited
  • 2021Deep learning for depression recognition with audiovisual cues: A review256 cited
  • 2018Automated depression analysis using convolutional neural networks from speech250 cited
  • 2013Depression recognition based on dynamic facial and vocal expression features using partial least square regression224 cited
  • 2014Vocal and Facial Biomarkers of Depression based on Motor Incoordination and Timing209 cited
  • 2013Vocal biomarkers of depression based on motor incoordination189 cited
  • 2020Automatic depression recognition using CNN with attention mechanism from videos179 cited
  • 2020Multimodal Spatiotemporal Representation for Automatic Depression Level Detection172 cited
  • 2018Video-Based Depression Level Analysis by Encoding Deep Spatiotemporal Features161 cited

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  • 2020Spectral Representation of Behaviour Primitives for Depression Analysis149 cited
  • 2015Automated Depression Diagnosis Based on Facial Dynamic Analysis and Sparse Coding141 cited
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    • 2024LMTformer: facial depression recognition with lightweight multi-scale transformer from videos39 cited