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Automatic gaze analysis: A survey of deep learning based approaches
Eye gaze analysis is an important research problem in the field of Computer Vision and
Human-Computer Interaction. Even with notable progress in the last 10 years, automatic …
Human-Computer Interaction. Even with notable progress in the last 10 years, automatic …
Convolutional neural networks: A survey
M Krichen - Computers, 2023 - mdpi.com
Artificial intelligence (AI) has become a cornerstone of modern technology, revolutionizing
industries from healthcare to finance. Convolutional neural networks (CNNs) are a subset of …
industries from healthcare to finance. Convolutional neural networks (CNNs) are a subset of …
Masked face recognition dataset and application
During COVID-19 coronavirus epidemic, almost everyone wears a mask to prevent the
spread of virus. It raises a problem that the traditional face recognition model basically fails …
spread of virus. It raises a problem that the traditional face recognition model basically fails …
Test-time domain generalization for face anti-spoofing
Abstract Face Anti-Spoofing (FAS) is pivotal in safeguarding facial recognition systems
against presentation attacks. While domain generalization (DG) methods have been …
against presentation attacks. While domain generalization (DG) methods have been …
Marlin: Masked autoencoder for facial video representation learning
This paper proposes a self-supervised approach to learn universal facial representations
from videos, that can transfer across a variety of facial analysis tasks such as Facial Attribute …
from videos, that can transfer across a variety of facial analysis tasks such as Facial Attribute …
[HTML][HTML] FRCSyn-onGoing: Benchmarking and comprehensive evaluation of real and synthetic data to improve face recognition systems
This article presents FRCSyn-onGoing, an ongoing challenge for face recognition where
researchers can easily benchmark their systems against the state of the art in an open …
researchers can easily benchmark their systems against the state of the art in an open …
Cross-task multi-branch vision transformer for facial expression and mask wearing classification
With wearing masks becoming a new cultural norm, facial expression recognition (FER)
while taking masks into account has become a significant challenge. In this paper, we …
while taking masks into account has become a significant challenge. In this paper, we …
Frcsyn challenge at cvpr 2024: Face recognition challenge in the era of synthetic data
Synthetic data is gaining increasing relevance for training machine learning models. This is
mainly motivated due to several factors such as the lack of real data and intra-class …
mainly motivated due to several factors such as the lack of real data and intra-class …
Masked face recognition challenge: The insightface track report
During the COVID-19 coronavirus epidemic, almost everyone wears a facial mask, which
poses a huge challenge to deep face recognition. In this workshop, we organize Masked …
poses a huge challenge to deep face recognition. In this workshop, we organize Masked …
Generative domain adaptation for face anti-spoofing
Face anti-spoofing (FAS) approaches based on unsupervised domain adaption (UDA) have
drawn growing attention due to promising performances for target scenarios. Most existing …
drawn growing attention due to promising performances for target scenarios. Most existing …