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 …
Understanding deep learning techniques for recognition of human emotions using facial expressions: A comprehensive survey
M Karnati, A Seal, D Bhattacharjee… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
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 …
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 …
Multimodal emotion recognition using deep learning
SMSA Abdullah, SYA Ameen, MAM Sadeeq… - Journal of Applied …, 2021 - jastt.org
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 …
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 …
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 …
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 …
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 …
LieNet: a deep convolution neural network framework for detecting deception
Nowadays, automatic deception detection has received considerable attention in the
machine learning community owing to this research interest to its vast applications in the …
machine learning community owing to this research interest to its vast applications in the …