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Multi-cue fusion for emotion recognition in the wild
10 references·16 citing·40 second hop
Multi-cue fusion for emotion recognition in the wild (2018)Multi-cue fusion for emotion recognition …Video-based emotion recognition using CNN-RNN and C3D hybrid networks (2016)Video-based emotion recogniti…HoloNet: towards robust emotion recognition in the wild (2016)HoloNet: towards robust emoti…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…Speech Emotion Recognition Using Fourier Parameters (2015)Speech Emotion Recognition Us…Recurrent Neural Networks for Emotion Recognition in Video (2015)Recurrent Neural Networks for…Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition (2015)Joint Fine-Tuning in Deep Neu…Proceedings of the 19th ACM international conference on Multimedia (2011)Proceedings of the 19th ACM i…The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression (2010)The Extended Cohn-Kanade Data…Comprehensive database for facial expression analysis (2002)Comprehensive database for fa…Unlocking the Emotional World of Visual Media: An Overview of the Science, Research, and Impact of Understanding Emotion (2023)Unlocking the Emotional World…AAD-Net: Advanced end-to-end signal processing system for human emotion detection & recognition using attention-based deep echo state network (2023)AAD-Net: Advanced end-to-end …Development of Real-Time Landmark-Based Emotion Recognition CNN for Masked Faces (2022)Development of Real-Time Land…Deep Learning Approach for Detecting Work-Related Stress Using Multimodal Signals (2022)Deep Learning Approach for De…A comprehensive review of facial expression recognition techniques (2022)A comprehensive review of fac…HEU Emotion: a large-scale database for multimodal emotion recognition in the wild (2021)HEU Emotion: a large-scale da…Facial Expression Recognition: A Review of Trends and Techniques (2021)Facial Expression Recognition…Dynamic Emotion Modeling With Learnable Graphs and Graph Inception Network (2021)Dynamic Emotion Modeling With…A deep multi-source adaptation transfer network for cross-subject electroencephalogram emotion recognition (2021)A deep multi-source adaptatio…1D-CNN: Speech Emotion Recognition System Using a Stacked Network with Dilated CNN Features (2021)1D-CNN: Speech Emotion Recogn…Facial Landmark-Based Emotion Recognition via Directed Graph Neural Network (2020)Facial Landmark-Based Emotion…Facial Expression Recognition With Deeply-Supervised Attention Network (2020)Facial Expression Recognition…A Review of Generalizable Transfer Learning in Automatic Emotion Recognition (2020)A Review of Generalizable Tra…A Multimodal Facial Emotion Recognition Framework through the Fusion of Speech with Visible and Infrared Images (2020)A Multimodal Facial Emotion R…Emotion Recognition Using Fusion of Audio and Video Features (2019)Emotion Recognition Using Fus…Cross-Subject EEG-Based Emotion Recognition with Deep Domain Confusion (2019)Cross-Subject EEG-Based Emoti…Emotion recognition in human-computer interaction (2001)A database of German emotional speech (2005)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Speech emotion recognition based on feature selection and extreme learning machine decision tree (2017)Databases, features and classifiers for speech emotion recognition: a review (2018)Speech Emotion Classification Using Attention-Based LSTM (2019)Facial Action Coding System (1978)A Multimodal Database for Affect Recognition and Implicit Tagging (2011)The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English (2018)OpenEAR — Introducing the munich open-source emotion and affect recognition toolkit (2009)Collecting Large, Richly Annotated Facial-Expression Databases from Movies (2012)EmoNets: Multimodal deep learning approaches for emotion recognition in video (2015)Hierarchical committee of deep convolutional neural networks for robust facial expression recognition (2016)Multi-Objective Based Spatio-Temporal Feature Representation Learning Robust to Expression Intensity Variations for Facial Expression Recognition (2017)Emotion Recognition for Human-Robot Interaction: Recent Advances and Future Perspectives (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)First Impressions: A Survey on Vision-Based Apparent Personality Trait Analysis (2019)Emotion Recognition from ECG Signals Using Wavelet Scattering and Machine Learning (2021)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)Emotion recognition using a hierarchical binary decision tree approach (2011)Combining modality specific deep neural networks for emotion recognition in video (2013)A visual attention based ROI detection method for facial expression recognition (2018)A Survey of AI-Based Facial Emotion Recognition: Features, ML & DL Techniques, Age-Wise Datasets and Future Directions (2021)Landmark guidance independent spatio-channel attention and complementary context information based facial expression recognition (2021)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)Deep Facial Expression Recognition: A Survey (2020)A Brief Review of Facial Emotion Recognition Based on Visual Information (2018)Reliable Crowdsourcing and Deep Locality-Preserving Learning for Unconstrained Facial Expression Recognition (2018)A systematic review on affective computing: emotion models, databases, and recent advances (2022)Facial Expression Recognition Using Enhanced Deep 3D Convolutional Neural Networks (2017)Hybrid deep neural networks for face emotion recognition (2018)Context-Aware Emotion Recognition Networks (2019)A multimodal convolutional neuro-fuzzy network for emotion understanding of movie clips (2019)The evolution of political memes: Detecting and characterizing internet memes with multi-modal deep learning (2019)Visual-audio emotion recognition based on multi-task and ensemble learning with multiple features (2020)
this work references cited by second hop

References

  • 2010The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression4,299 cited
  • 2002Comprehensive database for facial expression analysis2,612 cited
  • 2015Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition782 cited
  • 2016Video-based emotion recognition using CNN-RNN and C3D hybrid networks557 cited
  • 2015Speech Emotion Recognition Using Fourier Parameters409 cited
  • 2015Recurrent Neural Networks for Emotion Recognition in Video386 cited
  • 2011Proceedings of the 19th ACM international conference on Multimedia304 cited
  • 2016Emotion recognition in the wild from videos using images173 cited
  • 2016EmotiW 2016: video and group-level emotion recognition challenges147 cited
  • 2016HoloNet: towards robust emotion recognition in the wild115 cited

Cited by

  • 2022A comprehensive review of facial expression recognition techniques97 cited
  • 2023Unlocking the Emotional World of Visual Media: An Overview of the Science, Research, and Impact of Understanding Emotion89 cited
  • 2020Facial Expression Recognition With Deeply-Supervised Attention Network88 cited
  • 2020A Review of Generalizable Transfer Learning in Automatic Emotion Recognition81 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2021Facial Expression Recognition: A Review of Trends and Techniques81 cited
  • 2020Facial Landmark-Based Emotion Recognition via Directed Graph Neural Network73 cited
  • 20211D-CNN: Speech Emotion Recognition System Using a Stacked Network with Dilated CNN Features73 cited
  • 2022Deep Learning Approach for Detecting Work-Related Stress Using Multimodal Signals73 cited
  • 2022Development of Real-Time Landmark-Based Emotion Recognition CNN for Masked Faces61 cited
  • 2020A Multimodal Facial Emotion Recognition Framework through the Fusion of Speech with Visible and Infrared Images61 cited
  • 2021Dynamic Emotion Modeling With Learnable Graphs and Graph Inception Network57 cited
  • 2019Cross-Subject EEG-Based Emotion Recognition with Deep Domain Confusion57 cited
  • 2021HEU Emotion: a large-scale database for multimodal emotion recognition in the wild56 cited
  • 2023AAD-Net: Advanced end-to-end signal processing system for human emotion detection & recognition using attention-based deep echo state network56 cited
  • 2021A deep multi-source adaptation transfer network for cross-subject electroencephalogram emotion recognition53 cited
  • 2019Emotion Recognition Using Fusion of Audio and Video Features52 cited