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Deep self-attention network for facial emotion recognition
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-0-85729-932-1openalex-snapshot
Handbook of Face Recognition
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US residential energy demand and energy efficiency: A stochastic demand frontier approach
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Facial expression recognition based on Local Binary Patterns: A comprehensive study
inferredcites →https://doi.org/10.1016/j.procs.2015.08.011openalex-snapshot
Facial Expression Recognition: A Survey
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Facial Expression Recognition with Faster R-CNN
inferredcites →https://doi.org/10.1016/s0031-3203(02)00052-3openalex-snapshot
Automatic facial expression analysis: a survey
inferredcites →https://doi.org/10.1016/s0921-8890(99)00103-7openalex-snapshot
Detection, tracking, and classification of action units in facial expression
inferredcites →https://doi.org/10.1037/h0030377openalex-snapshot
Constants across cultures in the face and emotion.
inferredcites →https://doi.org/10.1093/oso/9780195112719.001.0001openalex-snapshot
The Expression Of The Emotions In Man And Animals
inferredcites →https://doi.org/10.1093/oxfordjournals.schbul.a033335openalex-snapshot
Facial Expressions of Emotions and Schizophrenia: A Review
inferredcites →https://doi.org/10.1109/afgr.1998.670990openalex-snapshot
Comparison between geometry-based and Gabor-wavelets-based facial expression recognition using multi-layer perceptron
inferredcites →https://doi.org/10.1109/cvpr.2005.297openalex-snapshot
Recognizing Facial Expression: Machine Learning and Application to Spontaneous Behavior
inferredcites →https://doi.org/10.1109/cvpr.2007.383059openalex-snapshot
Boosting Coded Dynamic Features for Facial Action Units and Facial Expression Recognition
inferredcites →https://doi.org/10.1109/cvpr.2014.233openalex-snapshot
Facial Expression Recognition via a Boosted Deep Belief Network
inferredcites →https://doi.org/10.1109/cvpr.2014.81openalex-snapshot
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2017.683openalex-snapshot
Residual Attention Network for Image Classification
inferredcites →https://doi.org/10.1109/cvprw.2017.245openalex-snapshot
Facial Affect Estimation in the Wild Using Deep Residual and Convolutional Networks
inferredcites →https://doi.org/10.1109/iccv.2015.178openalex-snapshot
Learning Deconvolution Network for Semantic Segmentation
inferredcites →https://doi.org/10.1109/iccv.2015.510openalex-snapshot
Learning Spatiotemporal Features with 3D Convolutional Networks
inferredcites →https://doi.org/10.1109/iccvw.2011.6130446openalex-snapshot
Facial expression recognition with temporal modeling of shapes
inferredcites →https://doi.org/10.1109/icmi.2002.1167051openalex-snapshot
Head-pose invariant facial expression recognition using convolutional neural networks
inferredcites →https://doi.org/10.1109/icpr.2002.1048001openalex-snapshot
Object recognition supported by user interaction for service robots
inferredcites →https://doi.org/10.1109/icpr.2002.1048231openalex-snapshot
Robust face analysis using convolutional neural networks
inferredcites →https://doi.org/10.1109/lsp.2011.2171949openalex-snapshot
Regularized Transfer Boosting for Face Detection Across Spectrum
inferredcites →https://doi.org/10.1109/tpami.2004.97openalex-snapshot
Convolutional face finder: a neural architecture for fast and robust face detection
inferredcites →https://doi.org/10.1109/tpami.2012.59openalex-snapshot
3D Convolutional Neural Networks for Human Action Recognition
inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
inferredcites →https://doi.org/10.1109/tsmcb.2012.2200675openalex-snapshot
Meta-Analysis of the First Facial Expression Recognition Challenge
inferredcites →https://doi.org/10.1109/tvlsi.2010.2069575openalex-snapshot
A 0.64 mm$^{2}$ Real-Time Cascade Face Detection Design Based on Reduced Two-Field Extraction
inferredcites →https://doi.org/10.1109/urtc.2017.8284175openalex-snapshot
Combining convolutional neural networks for emotion recognition
inferredcites →https://doi.org/10.1109/wacv.2017.140openalex-snapshot
Deep Spatio-Temporal Features for Multimodal Emotion Recognition
inferredcites →https://doi.org/10.1117/1.jei.25.6.061407openalex-snapshot
Facial expression recognition in the wild based on multimodal texture features
inferredcites →https://doi.org/10.1145/2818346.2830586openalex-snapshot
Combining Multimodal Features within a Fusion Network for Emotion Recognition in the Wild
inferredcites →https://doi.org/10.1145/2993148.2997632openalex-snapshot
Video-based emotion recognition using CNN-RNN and C3D hybrid networks
inferredcites →https://doi.org/10.14569/ijacsa.2014.051215openalex-snapshot
Facial Expression Recognition Using 3D Convolutional Neural Network
inferredcites →https://doi.org/10.2139/ssrn.4096405openalex-snapshot
Emotion Recognition Using Deep Convolutional Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1512.00743openalex-snapshot
Recognizing Semantic Features in Faces using Deep Learning
inferredcites →https://doi.org/10.5120/17557-8163openalex-snapshot
An Accurate Algorithm for Generating a Music Playlist based on Facial Expressions
inferredcites →https://doi.org/10.57702/zp44cu3gopenalex-snapshot
Learning Multiple Layers of Features from Tiny Images
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Exploring the Possibilities of Incorporating Human Facial Emotions Using the Save Our Soul Emergency Calling System (Sos-Ecb) Used on Indian National Highways
inferred← citeshttps://doi.org/10.2139/ssrn.4789296openalex-extracted
Anticipating for Smart Healthcare System by Deep Ensemble Model Using Multi-Layer Perceptron in Early Human Facial Emotion Recognition
inferred← citeshttps://doi.org/10.2139/ssrn.4820875openalex-extracted
Stress Detection:Detecting, Monitoring, and Reducing Stress in Cyber-Security Operation Centers Using Facial Expression Recognition Software
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Emotion Detection Using Deep Fusion Model
inferred← citeshttps://doi.org/10.1007/978-981-16-2857-3_39openalex-snapshot
Deep Neural Network for Facial Emotion Recognition System
inferred← citeshttps://doi.org/10.1007/978-981-19-0095-2_6openalex-snapshot
Emotion Recognition in Human Face Through Video Surveillance—A Survey of State-of-the-Art Approaches
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Facial Appearance Discerning Using Convolutional Neural Networks
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RETRACTED ARTICLE: Efficient facial emotion recognition model using deep convolutional neural network and modified joint trilateral filter
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Facial emotion recognition based on ResNet18 with multi-dimensional attention mechanisms
inferred← citeshttps://doi.org/10.1007/s40747-023-01100-9openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.asoc.2026.114998openalex-snapshot
A deep learning feature mapping algorithm for emotion detection via facial and audio signals
inferred← citeshttps://doi.org/10.1016/j.cmpb.2022.106646openalex-snapshot
Automated emotion recognition: Current trends and future perspectives
inferred← citeshttps://doi.org/10.1016/j.eswa.2022.118651openalex-snapshot
Artificial Emotional Intelligence: Conventional and deep learning approach
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.124371openalex-snapshot
Emotion classification using electrocardiogram and machine learning: A study on the effect of windowing techniques
inferred← citeshttps://doi.org/10.1016/j.fraope.2024.100200openalex-snapshot
Enhanced hybrid facial emotion detection & classification
inferred← citeshttps://doi.org/10.1016/j.knosys.2026.115744openalex-snapshot
Efficient implementation with multimodal data for patient emotion recognition system using dilated convolution-based dual scale adaptive efficient attention network
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Predicting the Cattle Production Parameters Through Deep Learning Approach: A Review
inferred← citeshttps://doi.org/10.1109/etis64005.2025.10960833openalex-snapshot
Real-Time Facial Emotion Recognition Using Deep Learning Approach
inferred← citeshttps://doi.org/10.1109/ic2e362166.2024.10827662openalex-snapshot
Depression Detection and Notification System using Image Sentiment Analysis
inferred← citeshttps://doi.org/10.1109/icac2n63387.2024.10895524openalex-snapshot
A review on Facial Emotion Recognition using CNN
inferred← citeshttps://doi.org/10.1109/icacrs55517.2022.10029092openalex-snapshot
Facial Emotion Recognition using Deep Learning Approach
inferred← citeshttps://doi.org/10.1109/icccee55951.2023.10424432openalex-snapshot
A Review on Face Emotion Recognition using EEG Features and Facial Features
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Emotion Classification and Respective Sticker Mapping Using Convolutional Neural Networks
inferred← citeshttps://doi.org/10.1109/iceet53442.2021.9659631openalex-snapshot
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Facial Expression Recognition with Deep Learning and Attention Mechanisms: A Systematic Review
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A Comprehensive Exploration: Attention Mechanisms in Facial Emotion Recognition
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Analysis of Accuracy Between SVM and CNN Algorithms in Facial Expression Recognition
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Implemented Model for CNN Facial Expressions: Emotion Recognition
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DASKT: A Dynamic Affect Simulation Method for Knowledge Tracing
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NAC-TCN: Temporal Convolutional Networks with Causal Dilated Neighborhood Attention for Emotion Understanding
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A Novel Emotion Recognition System for Human–Robot Interaction (HRI) Using Deep Ensemble Classification
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Enhancing Driver Emotion Recognition Through Deep Ensemble Classification
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Face Recognition approach via Deep and Machine Learning
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Human Face Recognition and Age Estimation with Machine Learning
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MCF-Net: Fusion Network of Facial and Scene Features for Expression Recognition in the Wild
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Neural Network-Based Emotion Classification in Medical Robotics: Anticipating Enhanced Human–Robot Interaction in Healthcare
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Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network
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Parallel Ictal-Net, a Parallel CNN Architecture with Efficient Channel Attention for Seizure Detection
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Evaluation of Activity Monitoring Algorithm based on Smart Approaches
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A New Hybrid Approach for Efficient Emotion Recognition using Deep Learning
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Facial Expression Recognition based on Hybrid Featured CNN (FERHC) Algorithm
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FERDCNN: an efficient method for facial expression recognition through deep convolutional neural networks
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