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FERAtt: Facial Expression Recognition With Attention Net
13 references·14 citing·34 second hop
FERAtt: Facial Expression Recognition With Attention Net (2019)FERAtt: Facial Expression Recognition Wit…Deep Facial Expression Recognition: A Survey (2020)Deep Facial Expression Recogn…Facial Expression Recognition by De-expression Residue Learning (2018)Facial Expression Recognition…Identity-Aware Convolutional Neural Network for Facial Expression Recognition (2017)Identity-Aware Convolutional …Facial expression recognition via learning deep sparse autoencoders (2017)Facial expression recognition…Training deep networks for facial expression recognition with crowd-sourced label distribution (2016)Training deep networks for fa…Going deeper in facial expression recognition using deep neural networks (2016)Going deeper in facial expres…Facial expression recognition with Convolutional Neural Networks: Coping with few data and the training sample order (2016)Facial expression recognition…Image based Static Facial Expression Recognition with Multiple Deep Network Learning (2015)Image based Static Facial Exp…Combining Multiple Kernel Methods on Riemannian Manifold for Emotion Recognition in the Wild (2014)Combining Multiple Kernel Met…Combining modality specific deep neural networks for emotion recognition in video (2013)Combining modality specific d…The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression (2010)The Extended Cohn-Kanade Data…A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)A Survey of Affect Recognitio…Affective Computing (1997)Affective ComputingMultiscale Facial Expression Recognition Based on Dynamic Global and Static Local Attention (2024)Multiscale Facial Expression …Spatial–Temporal Attention Network for Depression Recognition from facial videos (2023)Spatial–Temporal Attention Ne…Facial Expression Recognition Methods in the Wild Based on Fusion Feature of Attention Mechanism and LBP (2023)Facial Expression Recognition…Expression snippet transformer for robust video-based facial expression recognition (2023)Expression snippet transforme…A novel driver emotion recognition system based on deep ensemble classification (2023)A novel driver emotion recogn…Four-layer ConvNet to facial emotion recognition with minimal epochs and the significance of data diversity (2022)Four-layer ConvNet to facial …Clip-aware expressive feature learning for video-based facial expression recognition (2022)Clip-aware expressive feature…Learning Informative and Discriminative Features for Facial Expression Recognition in the Wild (2021)Learning Informative and Disc…Geometry-Aware Facial Expression Recognition via Attentive Graph Convolutional Networks (2021)Geometry-Aware Facial Express…Emotion Recognition for Cognitive Edge Computing Using Deep Learning (2021)Emotion Recognition for Cogni…Dynamic Emotion Modeling With Learnable Graphs and Graph Inception Network (2021)Dynamic Emotion Modeling With…LGAttNet: Automatic micro-expression detection using dual-stream local and global attentions (2020)LGAttNet: Automatic micro-exp…Facial Expression Recognition in the Wild Using Multi-Level Features and Attention Mechanisms (2020)Facial Expression Recognition…C-GCN: Correlation Based Graph Convolutional Network for Audio-Video Emotion Recognition (2020)C-GCN: Correlation Based Grap…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)Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications (2010)A Multimodal Database for Affect Recognition and Implicit Tagging (2011)Facial Action Coding System (1978)Web-Based Database for Facial Expression Analysis (2005)A Brief Review of Facial Emotion Recognition Based on Visual Information (2018)Occlusion Aware Facial Expression Recognition Using CNN With Attention Mechanism (2018)Reliable Crowdsourcing and Deep Locality-Preserving Learning for Unconstrained Facial Expression Recognition (2018)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)Suppressing Uncertainties for Large-Scale Facial Expression Recognition (2020)Comprehensive database for facial expression analysis (2002)The Expression of the Emotions in Man and Animals (2013)Spatial–Temporal Recurrent Neural Network for Emotion Recognition (2018)Detecting Affect States Using VGG16, ResNet50 and SE-ResNet50 Networks (2020)A systematic review on affective computing: emotion models, databases, and recent advances (2022)Constants across cultures in the face and emotion. (1971)Emotion recognition using deep learning approach from audio–visual emotional big data (2018)A Review on Automatic Facial Expression Recognition Systems Assisted by Multimodal Sensor Data (2019)Adaptively Learning Facial Expression Representation via C-F Labels and Distillation (2021)The expression of the emotions in man and animals. (1872)A circumplex model of affect. (1980)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)FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition (2017)A survey on facial emotion recognition techniques: A state-of-the-art literature review (2021)Machines and Mindlessness: Social Responses to Computers (2000)IEMOCAP: interactive emotional dyadic motion capture database (2008)DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)Attention mechanism-based CNN for facial expression recognition (2020)Dive into Ambiguity: Latent Distribution Mining and Pairwise Uncertainty Estimation for Facial Expression Recognition (2021)Learning Deep Global Multi-Scale and Local Attention Features for Facial Expression Recognition in the Wild (2021)
this work references cited by second hop

References

  • 1997Affective Computing7,373 cited
  • 2010The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression4,299 cited
  • 2008A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions2,797 cited
  • 2020Deep Facial Expression Recognition: A Survey1,942 cited
  • 2016Going deeper in facial expression recognition using deep neural networks1,117 cited
  • 2016Training deep networks for facial expression recognition with crowd-sourced label distribution925 cited
  • 2016Facial expression recognition with Convolutional Neural Networks: Coping with few data and the training sample order800 cited
  • 2015Image based Static Facial Expression Recognition with Multiple Deep Network Learning602 cited
  • 2017Facial expression recognition via learning deep sparse autoencoders489 cited
  • 2018Facial Expression Recognition by De-expression Residue Learning459 cited
  • 2013Combining modality specific deep neural networks for emotion recognition in video391 cited
  • 2017Identity-Aware Convolutional Neural Network for Facial Expression Recognition334 cited
  • 2014Combining Multiple Kernel Methods on Riemannian Manifold for Emotion Recognition in the Wild202 cited

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  • 2020Facial Expression Recognition in the Wild Using Multi-Level Features and Attention Mechanisms

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136 cited
  • 2023Expression snippet transformer for robust video-based facial expression recognition119 cited
  • 2022Four-layer ConvNet to facial emotion recognition with minimal epochs and the significance of data diversity110 cited
  • 2021Emotion Recognition for Cognitive Edge Computing Using Deep Learning107 cited
  • 2023Spatial–Temporal Attention Network for Depression Recognition from facial videos101 cited
  • 2020C-GCN: Correlation Based Graph Convolutional Network for Audio-Video Emotion Recognition87 cited
  • 2022Clip-aware expressive feature learning for video-based facial expression recognition81 cited
  • 2021Learning Informative and Discriminative Features for Facial Expression Recognition in the Wild64 cited
  • 2020LGAttNet: Automatic micro-expression detection using dual-stream local and global attentions60 cited
  • 2021Dynamic Emotion Modeling With Learnable Graphs and Graph Inception Network57 cited
  • 2023Facial Expression Recognition Methods in the Wild Based on Fusion Feature of Attention Mechanism and LBP50 cited
  • 2024Multiscale Facial Expression Recognition Based on Dynamic Global and Static Local Attention50 cited
  • 2021Geometry-Aware Facial Expression Recognition via Attentive Graph Convolutional Networks49 cited
  • 2023A novel driver emotion recognition system based on deep ensemble classification46 cited