References

• 2018Speech emotion recognition using deep 1D & 2D CNN LSTM networks1,044 cited
• 2020Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition943 cited
• 2018Occlusion Aware Facial Expression Recognition Using CNN With Attention Mechanism914 cited
• 2015Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition782 cited
• 2018Reliable Crowdsourcing and Deep Locality-Preserving Learning for Unconstrained Facial Expression Recognition663 cited
• 2019Extended deep neural network for facial emotion recognition401 cited
• 2019EEG Based Emotion Recognition by Combining Functional Connectivity Network and Local Activations396 cited
• 2019Local Learning With Deep and Handcrafted Features for Facial Expression Recognition332 cited
• 2019Efficient Facial Expression Recognition Algorithm Based on Hierarchical Deep Neural Network Structure303 cited
• 2019Using CNN for facial expression recognition: a study of the effects of kernel size and number of filters on accuracy293 cited
• 2019SAE+LSTM: A New Framework for Emotion Recognition From Multi-Channel EEG269 cited
• 2016Hierarchical committee of deep convolutional neural networks for robust facial expression recognition243 cited
• 2015AU-inspired Deep Networks for Facial Expression Feature Learning224 cited
• 2018Facial Expression Recognition Using Hierarchical Features With Deep Comprehensive Multipatches Aggregation Convolutional Neural Networks