Poster++: A simpler and stronger facial expression recognition network
J Mao, R Xu, X Yin, Y Chang, B Nie, A Huang… - Pattern Recognition, 2024 - Elsevier
The POSTER has achieved SOTA performance in facial expression recognition (FER) by
effectively combining facial landmarks and image features through its two-stream pyramid …
effectively combining facial landmarks and image features through its two-stream pyramid …
Recent advances on image edge detection: A comprehensive review
Edge detection is one of the most important and fundamental problems in the field of
computer vision and image processing. Edge contours extracted from images are widely …
computer vision and image processing. Edge contours extracted from images are widely …
Multimodal emotion recognition using deep learning
New research into human-computer interaction seeks to consider the consumer's emotional
status to provide a seamless human-computer interface. This would make it possible for …
status to provide a seamless human-computer interface. This would make it possible for …
Understanding deep learning techniques for recognition of human emotions using facial expressions: A comprehensive survey
Emotion recognition plays a significant role in cognitive psychology research. However,
measuring emotions is a challenging task. Thus, several approaches have been designed …
measuring emotions is a challenging task. Thus, several approaches have been designed …
Facial expression recognition with grid-wise attention and visual transformer
Abstract Facial Expression Recognition (FER) has achieved remarkable progress as a result
of using Convolutional Neural N etworks (CNN). Relying on the spatial locality …
of using Convolutional Neural N etworks (CNN). Relying on the spatial locality …
FER-net: facial expression recognition using deep neural net
Automatic facial expression recognition (FER) is one of the most challenging tasks in
computer vision. FER admits a wide range of applications in human–computer interaction …
computer vision. FER admits a wide range of applications in human–computer interaction …
On-road driver emotion recognition using facial expression
H **ao, W Li, G Zeng, Y Wu, J Xue, J Zhang, C Li… - Applied Sciences, 2022 - mdpi.com
With the development of intelligent automotive human-machine systems, driver emotion
detection and recognition has become an emerging research topic. Facial expression-based …
detection and recognition has become an emerging research topic. Facial expression-based …
Flepnet: feature level ensemble parallel network for facial expression recognition
With the advent of deep learning, the research on facial expression recognition (FER) has
received a lot of interest. Different deep convolutional neural network (DCNN) architectures …
received a lot of interest. Different deep convolutional neural network (DCNN) architectures …
[PDF][PDF] Facial expression recognition based on deep learning convolution neural network: A review
SMS Abdullah, AM Abdulazeez - Journal of Soft Computing …, 2021 - publisher.uthm.edu.my
Facial emotional processing is one of the most important activities in effective calculations,
engagement with people and computers, machine vision, video game testing, and consumer …
engagement with people and computers, machine vision, video game testing, and consumer …
A novel multi-scale based deep convolutional neural network for detecting COVID-19 from X-rays
The COVID-19 pandemic has posed an unprecedented threat to the global public health
system, primarily infecting the airway epithelial cells in the respiratory tract. Chest X-ray …
system, primarily infecting the airway epithelial cells in the respiratory tract. Chest X-ray …