Biometrics in the era of COVID-19: challenges and opportunities
M Gomez-Barrero, P Drozdowski… - … on Technology and …, 2022 - ieeexplore.ieee.org
Since early 2020, the COVID-19 pandemic has had a considerable impact on many aspects
of daily life. A range of different measures have been implemented worldwide to reduce the …
of daily life. A range of different measures have been implemented worldwide to reduce the …
A survey on computer vision based human analysis in the COVID-19 era
The emergence of COVID-19 has had a global and profound impact, not only on society as a
whole, but also on the lives of individuals. Various prevention measures were introduced …
whole, but also on the lives of individuals. Various prevention measures were introduced …
Privacy-friendly synthetic data for the development of face morphing attack detectors
The main question this work aims at answering is:" can morphing attack detection (MAD)
solutions be successfully developed based on synthetic data?". Towards that, this work …
solutions be successfully developed based on synthetic data?". Towards that, this work …
Synthaspoof: Developing face presentation attack detection based on privacy-friendly synthetic data
Recently, significant progress has been made in face presentation attack detection (PAD),
which aims to secure face recognition systems against presentation attacks, owing to the …
which aims to secure face recognition systems against presentation attacks, owing to the …
Troubleshooting ethnic quality bias with curriculum domain adaptation for face image quality assessment
Abstract Face Image Quality Assessment (FIQA) lays the foundation for ensuring the stability
and accuracy of face recognition systems. However, existing FIQA methods mainly formulate …
and accuracy of face recognition systems. However, existing FIQA methods mainly formulate …
Reconstruct face from features based on genetic algorithm using GAN generator as a distribution constraint
Face recognition based on deep convolutional neural networks (CNN) shows superior
accuracy performance attributed to the high discriminative features extracted. Yet, the …
accuracy performance attributed to the high discriminative features extracted. Yet, the …
SYN-MAD 2022: Competition on face morphing attack detection based on privacy-aware synthetic training data
This paper presents a summary of the Competition on Face Morphing Attack Detection
Based on Privacy-aware Synthetic Training Data (SYN-MAD) held at the 2022 In-ternational …
Based on Privacy-aware Synthetic Training Data (SYN-MAD) held at the 2022 In-ternational …
DifFIQA: Face image quality assessment using denoising diffusion probabilistic models
Modern face recognition (FR) models excel in constrained scenarios, but often suffer from
decreased performance when deployed in unconstrained (real-world) environments due to …
decreased performance when deployed in unconstrained (real-world) environments due to …
FaceQAN: Face image quality assessment through adversarial noise exploration
Recent state-of-the-art face recognition (FR) approaches have achieved impressive
performance, yet unconstrained face recognition still represents an open problem. Face …
performance, yet unconstrained face recognition still represents an open problem. Face …
Masked face recognition: Human vs. machine
The recent COVID-19 pandemic has increased the focus on hygienic and contactless
identity verification methods. However, the pandemic led to the wide use of face masks …
identity verification methods. However, the pandemic led to the wide use of face masks …