[HTML][HTML] A comprehensive survey on deep facial expression recognition: challenges, applications, and future guidelines
Facial expression recognition (FER) is an emerging and multifaceted research topic.
Applications of FER in healthcare, security, safe driving, and so forth have contributed to the …
Applications of FER in healthcare, security, safe driving, and so forth have contributed to the …
Classical and modern face recognition approaches: a complete review
Human face recognition have been an active research area for the last few decades.
Especially, during the last five years, it has gained significant research attention from …
Especially, during the last five years, it has gained significant research attention from …
EmNet: a deep integrated convolutional neural network for facial emotion recognition in the wild
S Saurav, R Saini, S Singh - Applied Intelligence, 2021 - Springer
In the past decade, facial emotion recognition (FER) research saw tremendous progress,
which led to the development of novel convolutional neural network (CNN) architectures for …
which led to the development of novel convolutional neural network (CNN) architectures for …
A framework for facial expression recognition using deep self-attention network
Facial expression recognition (FER) is a widely used technique for emotion recognition. In
recent years, numerous deep convolutional neural network (CNN) models have been …
recent years, numerous deep convolutional neural network (CNN) models have been …
Color facial expression recognition by quaternion convolutional neural network with Gabor attention
Y Zhou, L Jin, H Liu, E Song - IEEE Transactions on Cognitive …, 2020 - ieeexplore.ieee.org
Facial expression recognition (FER) plays an important role in cognitive psychology
research. In FER studies, deep convolutional neural networks (CNNs) and attention …
research. In FER studies, deep convolutional neural networks (CNNs) and attention …
A self-attention-based fusion framework for facial expression recognition in wavelet domain
Facial expression recognition (FER) plays a vital role for applications based on human–
computer interaction. In the past few years, many deep learning models have been …
computer interaction. In the past few years, many deep learning models have been …
Static facial expression recognition using convolutional neural networks based on transfer learning and hyperparameter optimization
Expression recognition (ER), which has been frequently used in human-computer
interaction, uses visual data such as video and static images or sensor-based data for …
interaction, uses visual data such as video and static images or sensor-based data for …
Deep learning inspired intelligent embedded system for haptic rendering of facial emotions to the blind
In our day-to-day social interactions, non-verbal cues such as facial emotions play a vital
role. These cues assist people in understanding and inferring the hidden emotional state of …
role. These cues assist people in understanding and inferring the hidden emotional state of …
Deformable generator networks: Unsupervised disentanglement of appearance and geometry
We present a deformable generator model to disentangle the appearance and geometric
information for both image and video data in a purely unsupervised manner. The …
information for both image and video data in a purely unsupervised manner. The …
From methods to datasets: a detailed study on facial emotion recognition
Human ideas and sentiments are mirrored in facial expressions. Facial expression
recognition (FER) is a crucial type of visual data that can be utilized to deduce a person's …
recognition (FER) is a crucial type of visual data that can be utilized to deduce a person's …