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A-MobileNet: An approach of facial expression recognition
5 references·5 citing·27 second hop
A-MobileNet: An approach of facial expression recognition (2021)A-MobileNet: An approach of facial expres…Suppressing Uncertainties for Large-Scale Facial Expression Recognition (2020)Suppressing Uncertainties for…Local Learning With Deep and Handcrafted Features for Facial Expression Recognition (2019)Local Learning With Deep and …Reliable Crowdsourcing and Deep Locality-Preserving Learning for Unconstrained Facial Expression Recognition (2018)Reliable Crowdsourcing and De…Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild (2017)Reliable Crowdsourcing and De…Training deep networks for facial expression recognition with crowd-sourced label distribution (2016)Training deep networks for fa…Enhanced Real-Time Facial Expression Recognition Using Deep Learning (2024)Enhanced Real-Time Facial Exp…EEG-based emotion recognition using MobileNet Recurrent Neural Network with time-frequency features (2024)EEG-based emotion recognition…A client–server based recognition system: Non-contact single/multiple emotional and behavioral state assessment methods (2024)A client–server based recogni…Facial Expression Recognition Methods in the Wild Based on Fusion Feature of Attention Mechanism and LBP (2023)Facial Expression Recognition…A comprehensive survey on deep facial expression recognition: challenges, applications, and future guidelines (2023)A comprehensive survey on dee…Facial Action Coding System (1978)CREMA-D: Crowd-Sourced Emotional Multimodal Actors Dataset (2014)What you Feel, Is what you like Influence of Message Appeals on Customer Engagement on Instagram (2019)Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition (2020)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression (2010)Occlusion Aware Facial Expression Recognition Using CNN With Attention Mechanism (2018)AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild (2017)Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network (2021)Facial Expression Recognition Using Residual Masking Network (2021)Leveraging recent advances in deep learning for audio-Visual emotion recognition (2021)The expression of the emotions in man and animals. (1872)Facial Expression Recognition With Visual Transformers and Attentional Selective Fusion (2021)Learning Deep Global Multi-Scale and Local Attention Features for Facial Expression Recognition in the Wild (2021)Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations (2023)Deep Facial Expression Recognition: A Survey (2020)Multimodal Emotion Detection via Attention-Based Fusion of Extracted Facial and Speech Features (2023)Artificial Intelligence Policy in Promoting Indonesian Tourism (2024)Analysis of emotion recognition using facial expressions, speech and multimodal information (2004)Pleasure-arousal-dominance: A general framework for describing and measuring individual differences in Temperament (1996)Emotion recognition in human-computer interaction (2001)DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)The relation between parents' mental state talk and children's social understanding: A meta‐analysis (2018)Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications (2020)Real-Time Video Emotion Recognition Based on Reinforcement Learning and Domain Knowledge (2021)TransFER: Learning Relation-aware Facial Expression Representations with Transformers (2021)A systematic review on affective computing: emotion models, databases, and recent advances (2022)
this work references cited by second hop

References

  • 2017Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild1,467 cited
  • 2016Training deep networks for facial expression recognition with crowd-sourced label distribution925 cited
  • 2020Suppressing Uncertainties for Large-Scale Facial Expression Recognition771 cited
  • 2018Reliable Crowdsourcing and Deep Locality-Preserving Learning for Unconstrained Facial Expression Recognition663 cited
  • 2019Local Learning With Deep and Handcrafted Features for Facial Expression Recognition332 cited

Cited by

  • 2023A comprehensive survey on deep facial expression recognition: challenges, applications, and future guidelines173 cited
  • 2024A client–server based recognition system: Non-contact single/multiple emotional and behavioral state assessment methods122 cited
  • 2024EEG-based emotion recognition using MobileNet Recurrent Neural Network with time-frequency features56 cited
  • 2024Enhanced Real-Time Facial Expression Recognition Using Deep Learning53 cited
  • 2023Facial Expression Recognition Methods in the Wild Based on Fusion Feature of Attention Mechanism and LBP50 cited

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