Face recognition: Past, present and future (a review)
Biometric systems have the goal of measuring and analyzing the unique physical or
behavioral characteristics of an individual. The main feature of biometric systems is the use …
behavioral characteristics of an individual. The main feature of biometric systems is the use …
Engagement detection in online learning: a review
Online learners participate in various educational activities including reading, writing,
watching video tutorials, online exams, and online meetings. During the participation in …
watching video tutorials, online exams, and online meetings. During the participation in …
Deepfake video detection using convolutional vision transformer
The rapid advancement of deep learning models that can generate and synthesis hyper-
realistic videos known as Deepfakes and their ease of access to the general public have …
realistic videos known as Deepfakes and their ease of access to the general public have …
Learning multi-dimensional edge feature-based au relation graph for facial action unit recognition
The activations of Facial Action Units (AUs) mutually influence one another. While the
relationship between a pair of AUs can be complex and unique, existing approaches fail to …
relationship between a pair of AUs can be complex and unique, existing approaches fail to …
Efficient facial expression recognition algorithm based on hierarchical deep neural network structure
With the continued development of artificial intelligence (AI) technology, research on
interaction technology has become more popular. Facial expression recognition (FER) is an …
interaction technology has become more popular. Facial expression recognition (FER) is an …
Investigating bias and fairness in facial expression recognition
Recognition of expressions of emotions and affect from facial images is a well-studied
research problem in the fields of affective computing and computer vision with a large …
research problem in the fields of affective computing and computer vision with a large …
Island loss for learning discriminative features in facial expression recognition
Over the past few years, Convolutional Neural Networks (CNNs) have shown promise on
facial expression recognition. However, the performance degrades dramatically under real …
facial expression recognition. However, the performance degrades dramatically under real …
[HTML][HTML] Multi-feature fusing local directional ternary pattern for facial expressions signal recognition based on video communication system
L Yan, Y Shi, M Wei, Y Wu - Alexandria Engineering Journal, 2023 - Elsevier
In the field of Automatic Facial Expression Signal Recognition (AFESR) at video
communication system, the fusing feature extraction is playing an extremely important role in …
communication system, the fusing feature extraction is playing an extremely important role in …
Auformer: Vision transformers are parameter-efficient facial action unit detectors
Abstract Facial Action Units (AU) is a vital concept in the realm of affective computing, and
AU detection has always been a hot research topic. Existing methods suffer from overfitting …
AU detection has always been a hot research topic. Existing methods suffer from overfitting …
A performance comparison of eight commercially available automatic classifiers for facial affect recognition
In the wake of rapid advances in automatic affect analysis, commercial automatic classifiers
for facial affect recognition have attracted considerable attention in recent years. While …
for facial affect recognition have attracted considerable attention in recent years. While …