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Adaptive Multilayer Perceptual Attention Network for Facial Expression Recognition
IEEE transactions on circuits and systems for video technology (Print), 2022 In complex real-world situations, problems such as illumination changes, facial occlusion, and variant poses make facial expression recognition (FER) a challenging task.
Hanwei Liu +4 more
semanticscholar +1 more source
Deep facial expression recognition: a survey [PDF]
Journal of Image and Graphics, 2020 With the transition of facial expression recognition (FER) from laboratory-controlled to challenging in-the-wild conditions and the recent success of deep learning techniques in various fields, deep neural networks have increasingly been leveraged to learn discriminative representations for automatic FER.
Shan Li, Weihong Deng
openaire +2 more sources
Miners' facial expression recognition method based on convolutional neural network
Gong-kuang zidonghua, 2018 In view of problems of low recognition rate and complex algorithm of traditional miner's facial expression recognition methods, based on convolutional neural network and combining with nonlinear mapping function in support vector machine algorithm, a ...
DU Yun, ZHANG Lulu, PAN Tao
doaj +1 more source
EMPATH: A Neural Network that Categorizes Facial Expressions [PDF]
, 2002 There are two competing theories of facial expression recognition. Some researchers have suggested that it is an example of "categorical perception." In this view, expression categories are considered to be discrete entities with sharp boundaries, and ...
Adolphs, Ralph +3 more
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Deep Learning Based on Facial Expression Recognition from Images to Videos [PDF]
ITM Web of ConferencesFacial expressions, as a vital conduit for human emotional expression, are among the most observable features of machines in the field of computer vision.
Deng Rui
doaj +1 more source
The effect of facial attractiveness on micro-expression recognition
Frontiers in Psychology, 2022 Micro-expression (ME) is an extremely quick and uncontrollable facial movement that lasts for 40–200 ms and reveals thoughts and feelings that an individual attempts to cover up.
Qiongsi Lin +6 more
doaj +1 more source
Frontiers in Neurology, 2016 Background: Altered emotional processing, including reduced emotion facial expression and defective emotion recognition, has been reported in patients with Parkinson’s disease (PD).
Matteo Bologna +9 more
doaj +1 more source
Going deeper in facial expression recognition using deep neural networks [PDF]
IEEE Workshop/Winter Conference on Applications of Computer Vision, 2015 Automated Facial Expression Recognition (FER) has remained a challenging and interesting problem in computer vision. Despite efforts made in developing various methods for FER, existing approaches lack generalizability when applied to unseen images or ...
A. Mollahosseini, David Chan, M. Mahoor
semanticscholar +1 more source
Face expression recognition based on NGO-BILSTM model
Frontiers in Neurorobotics, 2023 IntroductionFacial expression recognition has always been a hot topic in computer vision and artificial intelligence. In recent years, deep learning models have achieved good results in accurately recognizing facial expressions.
Jiarui Zhong, Tangxian Chen, Liuhan Yi
doaj +1 more source
Deep Learning For Smile Recognition [PDF]
, 2016 Inspired by recent successes of deep learning in computer vision, we propose a novel application of deep convolutional neural networks to facial expression recognition, in particular smile recognition.
Glauner, Patrick O.
core +2 more sources