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Enhanced spatio-temporal 3D CNN for facial expression classification in videos
This article proposes a hybrid network model for video-based human facial expression recognition (FER) system consisting of an end-to-end 3D deep...
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Deep facial recognition after medical alterations
Medical alterations on the facial region introduce skin consistency deviations amongst images of the same individual, thus making face recognition...
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Learning 3DMM Deformation Coefficients for Action Unit Detection
Facial Action Units (AUs) correspond to the deformation/contraction of individual or combinations of facial muscles. As such, each AU affects just a...
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USTST: unsupervised self-training similarity transfer for cross-domain facial expression recognition
Facial expression recognition (FER) is one of the popular research topics in the field of computer vision. When most of the deep learning expression...
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Facial expression recognition based on improved depthwise separable convolutional network
A single network model can’t extract more complex and rich effective features. Meanwhile, the network structure is usually huge, and there are many...
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Human facial emotion recognition using improved black hole based extreme learning machine
Facial Emotion Recognition (FER) plays an essential role in human-to-human communication and human-to-machine interaction. Based on the analysis of...
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Dynamic adaptive threshold based learning for noisy annotations robust facial expression recognition
The real-world facial expression recognition (FER) datasets suffer from noisy annotations due to crowd-sourcing, ambiguity in expressions, the...
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FERGCN: facial expression recognition based on graph convolution network
Due to the problems of occlusion, pose change, illumination change, and image blur in the wild facial expression dataset, it is a challenging...
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A Method of Students’ Online Learning Status Analysis Based on Facial Expression
In order to monitor students’ emotional status during online learning, we propose a method to analyze students' online learning status by sentiment...
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Robust facial expression recognition with global-local joint representation learning
As an important part in computer vision, facial expression recognition (FER) has received extensive attention, but it still has lots of challenges in...
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Analysis of Facial Expressions for the Estimation of Concentration on Online Lectures
The present study aimed to develop a method to estimate the state of attention from facial expressions while students are in online lectures. We...
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A comprehensive survey on automatic facial action unit analysis
Facial Action Coding System is the most influential sign judgment method for facial behavior, and it is a comprehensive and anatomical system which...
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Facial micro-expression recognition using three-stream vision transformer network with sparse sampling and relabeling
Most existing micro-expression recognition (MER) methods are based on convolutional neural networks (CNN) and could obtain better representations...
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Bipartite Graph Reasoning GANs for Person Pose and Facial Image Synthesis
We present a novel bipartite graph reasoning Generative Adversarial Network (BiGraphGAN) for two challenging tasks: person pose and facial image...
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Survey of deep emotion recognition in dynamic data using facial, speech and textual cues
With the advancement of multimedia and human-computer interaction, it has become increasingly crucial to perceive people’s emotional states in...
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Multi-modal Conditional Feature Enhancement for Facial Action Unit Recognition
Current state-of-the-art methods inFacial Action Unit Recognition multi-modal fusion typically rely on generating a new shared representation space...
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An ensemble pruning method considering classifiers’ interaction based on information theory for facial expression recognition
Ensemble learning combines all generated base learners for better generalization performance, but weak and redundant classifiers reduce the...
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Speech-Driven Robot Face Action Generation with Deep Generative Model for Social Robots
The natural co-speech facial action as a kind of non-verbal behavior plays an essential role in human communication, which also leads to a natural...
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Facial Expression Recognition with Manifold Learning and Graph Convolutional Network
Facial Expression Recognition (FER) has the ability to detect human affect state. Most of the methods employed for FER task do not really consider...
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Facial Expression Estimation Using Convolutional Neural Network with Upper and Lower Segmented Face Images
In a convolutional neural network (CNN) for facial expression recognition, it is important to focus attention on the parts of a face where facial...