Automatic gaze analysis: A survey of deep learning based approaches

S Ghosh, A Dhall, M Hayat, J Knibbe… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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 …

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 …

Masked face recognition dataset and application

Z Wang, B Huang, G Wang, P Yi… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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 …

Test-time domain generalization for face anti-spoofing

Q Zhou, KY Zhang, T Yao, X Lu… - Proceedings of the …, 2024 - openaccess.thecvf.com
Abstract Face Anti-Spoofing (FAS) is pivotal in safeguarding facial recognition systems
against presentation attacks. While domain generalization (DG) methods have been …

Marlin: Masked autoencoder for facial video representation learning

Z Cai, S Ghosh, K Stefanov, A Dhall… - Proceedings of the …, 2023 - openaccess.thecvf.com
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 …

[HTML][HTML] FRCSyn-onGoing: Benchmarking and comprehensive evaluation of real and synthetic data to improve face recognition systems

P Melzi, R Tolosana, R Vera-Rodriguez, M Kim… - Information …, 2024 - Elsevier
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 …

Cross-task multi-branch vision transformer for facial expression and mask wearing classification

A Zhu, K Li, T Wu, P Zhao, B Hong - arxiv preprint arxiv:2404.14606, 2024 - arxiv.org
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 …

Frcsyn challenge at cvpr 2024: Face recognition challenge in the era of synthetic data

I DeAndres-Tame, R Tolosana… - Proceedings of the …, 2024 - openaccess.thecvf.com
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 …

Masked face recognition challenge: The insightface track report

J Deng, J Guo, X An, Z Zhu… - Proceedings of the …, 2021 - openaccess.thecvf.com
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 …

Generative domain adaptation for face anti-spoofing

Q Zhou, KY Zhang, T Yao, R Yi, K Sheng… - European conference on …, 2022 - Springer
Face anti-spoofing (FAS) approaches based on unsupervised domain adaption (UDA) have
drawn growing attention due to promising performances for target scenarios. Most existing …