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EmotiW 2019: Automatic Emotion, Engagement and Cohesion Prediction Tasks
7 references·5 citing·39 second hop
EmotiW 2019: Automatic Emotion, Engagement and Cohesion Prediction Tasks (2019)EmotiW 2019: Automatic Emotion, Engagemen…EmotiW 2018 (2018)EmotiW 2018From individual to group-level emotion recognition: EmotiW 5.0 (2017)From individual to group-leve…EmotiW 2016: video and group-level emotion recognition challenges (2016)EmotiW 2016: video and group-…Emotion recognition in the wild from videos using images (2016)Emotion recognition in the wi…Automatic Group Happiness Intensity Analysis (2015)Automatic Group Happiness Int…Emotion recognition in the wild challenge 2013 (2013)Emotion recognition in the wi…Collecting Large, Richly Annotated Facial-Expression Databases from Movies (2012)Collecting Large, Richly Anno…Assessing student engagement from facial behavior in on-line learning (2022)Assessing student engagement …Information Fusion in Attention Networks Using Adaptive and Multi-Level Factorized Bilinear Pooling for Audio-Visual Emotion Recognition (2021)Information Fusion in Attenti…Noisy Student Training Using Body Language Dataset Improves Facial Expression Recognition (2020)Noisy Student Training Using …Emotion Recognition on FER-2013 Face Images Using Fine-Tuned VGG-16 (2020)Emotion Recognition on FER-20…Multi-Attention Fusion Network for Video-based Emotion Recognition (2019)Multi-Attention Fusion Networ…Web-Based Database for Facial Expression Analysis (2005)The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression (2010)EmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild (2016)Mood and Emotions in Small Groups and Work Teams (2001)The more the merrier: Analysing the affect of a group of people in images (2015)A visual attention based ROI detection method for facial expression recognition (2018)EmotiW 2020: Driver Gaze, Group Emotion, Student Engagement and Physiological Signal based Challenges (2020)Static facial expression analysis in tough conditions: Data, evaluation protocol and benchmark (2011)Automatic Analysis of Facial Affect: A Survey of Registration, Representation, and Recognition (2014)HoloNet: towards robust emotion recognition in the wild (2016)Video-based emotion recognition using CNN-RNN and C3D hybrid networks (2016)Multi-cue fusion for emotion recognition in the wild (2018)Emotion Recognition from ECG Signals Using Wavelet Scattering and Machine Learning (2021)Facial Action Coding System (1978)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)Training deep networks for facial expression recognition with crowd-sourced label distribution (2016)Spatio-temporal convolutional features with nested LSTM for facial expression recognition (2018)Eyemotion: Classifying Facial Expressions in VR Using Eye-Tracking Cameras (2019)Deep Learning for Emotion Recognition on Small Datasets using Transfer Learning (2015)Image based Static Facial Expression Recognition with Multiple Deep Network Learning (2015)Temporal multimodal fusion for video emotion classification in the wild (2017)A comprehensive survey on deep facial expression recognition: challenges, applications, and future guidelines (2023)AVEC 2017 (2017)Automatic Facial Expression Recognition in Standardized and Non-standardized Emotional Expressions (2021)Deep facial spatiotemporal network for engagement prediction in online learning (2021)FERV39k: A Large-Scale Multi-Scene Dataset for Facial Expression Recognition in Videos (2022)A Stochastic Approximation Method (1951)Constants across cultures in the face and emotion. (1971)IEMOCAP: interactive emotional dyadic motion capture database (2008)Automatic speech emotion recognition using recurrent neural networks with local attention (2017)Speech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)Deep Cross-Corpus Speech Emotion Recognition: Recent Advances and Perspectives (2021)Speech Databases, Speech Features, and Classifiers in Speech Emotion Recognition: A Review (2024)Scale Development : Theory and Applications (1991)School Engagement: Potential of the Concept, State of the Evidence (2004)Student engagement with school: Critical conceptual and methodological issues of the construct (2008)Automatic Detection of Learning-Centered Affective States in the Wild (2015)Learning supervised scoring ensemble for emotion recognition in the wild (2017)A Compact Deep Learning Model for Robust Facial Expression Recognition (2018)
this work references cited by second hop

References

  • 2012Collecting Large, Richly Annotated Facial-Expression Databases from Movies664 cited
  • 2017From individual to group-level emotion recognition: EmotiW 5.0218 cited
  • 2013Emotion recognition in the wild challenge 2013179 cited
  • 2016Emotion recognition in the wild from videos using images173 cited
  • 2016EmotiW 2016: video and group-level emotion recognition challenges147 cited
  • 2018EmotiW 2018139 cited
  • 2015Automatic Group Happiness Intensity Analysis117 cited

Cited by

  • 2021Information Fusion in Attention Networks Using Adaptive and Multi-Level Factorized Bilinear Pooling for Audio-Visual Emotion Recognition85 cited
  • 2020Emotion Recognition on FER-2013 Face Images Using Fine-Tuned VGG-1668 cited
  • 2022Assessing student engagement from facial behavior in on-line learning67 cited
  • 2020Noisy Student Training Using Body Language Dataset Improves Facial Expression Recognition45 cited
  • 2019Multi-Attention Fusion Network for Video-based Emotion Recognition41 cited

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