b'Naser Damer'

research

∙ 08/28/2023

Face Presentation Attack Detection by Excavating Causal Clues and Adapting Embedding Statistics

Recent face presentation attack detection (PAD) leverages domain adaptat...

0 Meiling Fang, et al. ∙

research

∙ 08/09/2023

IDiff-Face: Synthetic-based Face Recognition through Fizzy Identity-Conditioned Diffusion Models

The availability of large-scale authentic face databases has been crucia...

0 Fadi Boutros, et al. ∙

research

∙ 07/11/2023

ExFaceGAN: Exploring Identity Directions in GAN's Learned Latent Space for Synthetic Identity Generation

Deep generative models have recently presented impressive results in gen...

0 Fadi Boutros, et al. ∙

research

∙ 06/05/2023

Unveiling the Two-Faced Truth: Disentangling Morphed Identities for Face Morphing Detection

Morphing attacks keep threatening biometric systems, especially face rec...

0 Eduarda Caldeira, et al. ∙

research

∙ 04/30/2023

Identity-driven Three-Player Generative Adversarial Network for Synthetic-based Face Recognition

Many of the commonly used datasets for face recognition development are ...

0 Jan Niklas Kolf, et al. ∙

research

∙ 04/26/2023

Are Explainability Tools Gender Biased? A Case Study on Face Presentation Attack Detection

Face recognition (FR) systems continue to spread in our daily lives with...

0 Marco Huber, et al. ∙

research

∙ 04/26/2023

Efficient Explainable Face Verification based on Similarity Score Argument Backpropagation

Explainable Face Recognition is gaining growing attention as the use of ...

0 Marco Huber, et al. ∙

research

∙ 04/07/2023

Multispectral Imaging for Differential Face Morphing Attack Detection: A Preliminary Study

Face morphing attack detection is emerging as an increasingly challengin...

0 Raghavendra Ramachandra, et al. ∙

research

∙ 03/05/2023

SynthASpoof: Developing Face Presentation Attack Detection Based on Privacy-friendly Synthetic Data

Recently, significant progress has been made in face presentation attack...

0 Meiling Fang, et al. ∙

research

∙ 02/03/2023

MorDIFF: Recognition Vulnerability and Attack Detectability of Face Morphing Attacks Created by Diffusion Autoencoders

Investigating new methods of creating face morphing attacks is essential...

0 Naser Damer, et al. ∙

research

∙ 12/28/2022

Periocular Biometrics: A Modality for Unconstrained Scenarios

Periocular refers to the region of the face that surrounds the eye socke...

0 Fernando Alonso-Fernandez, et al. ∙

research

∙ 11/14/2022

Unsupervised Face Recognition using Unlabeled Synthetic Data

Over the past years, the main research innovations in face recognition f...

0 Fadi Boutros, et al. ∙

research

∙ 10/19/2022

Stating Comparison Score Uncertainty and Verification Decision Confidence Towards Transparent Face Recognition

Face Recognition (FR) is increasingly used in critical verification deci...

0 Marco Huber, et al. ∙

research

∙ 08/29/2022

Towards Explaining Demographic Bias through the Eyes of Face Recognition Models

Biases inherent in both data and algorithms make the fairness of widespr...

0 Biying Fu, et al. ∙

research

∙ 08/16/2022

OrthoMAD: Morphing Attack Detection Through Orthogonal Identity Disentanglement

Morphing attacks are one of the many threats that are constantly affecti...

7 Pedro C. Neto, et al. ∙

research

∙ 08/11/2022

Face Morphing Attacks and Face Image Quality: The Effect of Morphing and the Unsupervised Attack Detection by Quality

Morphing attacks are a form of presentation attacks that gathered increa...

4 Biying Fu, et al. ∙

research

∙ 08/11/2022

Unsupervised Face Morphing Attack Detection via Self-paced Anomaly Detection

The supervised-learning-based morphing attack detection (MAD) solutions ...

0 Meiling Fang, et al. ∙

research

∙ 08/04/2022

OCFR 2022: Competition on Occluded Face Recognition From Synthetically Generated Structure-Aware Occlusions

This work summarizes the IJCB Occluded Face Recognition Competition 2022...

1 Pedro C. Neto, et al. ∙

research

∙ 06/21/2022

QuantFace: Towards Lightweight Face Recognition by Synthetic Data Low-bit Quantization

Deep learning-based face recognition models follow the common trend in d...

0 Fadi Boutros, et al. ∙

research

∙ 06/21/2022

SFace: Privacy-friendly and Accurate Face Recognition using Synthetic Data

Recent deep face recognition models proposed in the literature utilized ...

0 Fadi Boutros, et al. ∙

research

∙ 05/05/2022

Intra and Cross-spectrum Iris Presentation Attack Detection in the NIR and Visible Domains Using Attention-based and Pixel-wise Supervised Learning

Iris Presentation Attack Detection (PAD) is essential to secure iris rec...

0 Meiling Fang, et al. ∙

research

∙ 03/23/2022

On the (Limited) Generalization of MasterFace Attacks and Its Relation to the Capacity of Face Representations

A MasterFace is a face image that can successfully match against a large...

0 Philipp Terhörst, et al. ∙

research

∙ 03/13/2022

Privacy-friendly Synthetic Data for the Development of Face Morphing Attack Detectors

The main question this work aims at answering is: can morphing attack de...

0 Naser Damer, et al. ∙

research

∙ 12/13/2021

CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability

The quality of face images significantly influences the performance of u...

2 Fadi Boutros, et al. ∙

research

∙ 12/10/2021

Mask-invariant Face Recognition through Template-level Knowledge Distillation

The emergence of the global COVID-19 pandemic poses new challenges for b...

0 Marco Huber, et al. ∙

research

∙ 12/09/2021

Explainability of the Implications of Supervised and Unsupervised Face Image Quality Estimations Through Activation Map Variation Analyses in Face Recognition Models

It is challenging to derive explainability for unsupervised or statistic...

0 Biying Fu, et al. ∙

research

∙ 11/26/2021

QMagFace: Simple and Accurate Quality-Aware Face Recognition

Face recognition systems have to deal with large variabilities (such as ...

0 Philipp Terhörst, et al. ∙

research

∙ 11/08/2021

Partial Attack Supervision and Regional Weighted Inference for Masked Face Presentation Attack Detection

Wearing a mask has proven to be one of the most effective ways to preven...

0 Meiling Fang, et al. ∙

research

∙ 10/28/2021

FocusFace: Multi-task Contrastive Learning for Masked Face Recognition

SARS-CoV-2 has presented direct and indirect challenges to the scientifi...

1 Pedro C. Neto, et al. ∙

research

∙ 10/21/2021

The Effect of Wearing a Face Mask on Face Image Quality

Due to the COVID-19 situation, face masks have become a main part of our...

0 Biying Fu, et al. ∙

research

∙ 10/21/2021

A Deep Insight into Measuring Face Image Utility with General and Face-specific Image Quality Metrics

Quality scores provide a measure to evaluate the utility of biometric sa...

0 Biying Fu, et al. ∙

research

∙ 10/21/2021

Pixel-Level Face Image Quality Assessment for Explainable Face Recognition

An essential factor to achieve high performance in face recognition syst...

0 Philipp Terhörst, et al. ∙

research

∙ 09/20/2021

ElasticFace: Elastic Margin Loss for Deep Face Recognition

Learning discriminative face features plays a major role in building hig...

0 Fadi Boutros, et al. ∙

research

∙ 09/16/2021

Learnable Multi-level Frequency Decomposition and Hierarchical Attention Mechanism for Generalized Face Presentation Attack Detection

With the increased deployment of face recognition systems in our daily l...

0 Meiling Fang, et al. ∙

research

∙ 08/24/2021

PocketNet: Extreme Lightweight Face Recognition Network using Neural Architecture Search and Multi-Step Knowledge Distillation

Deep neural networks have rapidly become the mainstream method for face ...

0 Fadi Boutros, et al. ∙

research

∙ 08/23/2021

PW-MAD: Pixel-wise Supervision for Generalized Face Morphing Attack Detection

A face morphing attack image can be verified to multiple identities, mak...

0 Naser Damer, et al. ∙

research

∙ 08/20/2021

ReGenMorph: Visibly Realistic GAN Generated Face Morphing Attacks by Attack Re-generation

Face morphing attacks aim at creating face images that are verifiable to...

1 Naser Damer, et al. ∙

research

∙ 08/02/2021

My Eyes Are Up Here: Promoting Focus on Uncovered Regions in Masked Face Recognition

The recent Covid-19 pandemic and the fact that wearing masks in public i...

1 Pedro C. Neto, et al. ∙

research

∙ 07/27/2021

MixFaceNets: Extremely Efficient Face Recognition Networks

In this paper, we present a set of extremely efficient and high throughp...

0 Fadi Boutros, et al. ∙

research

∙ 06/28/2021

Iris Presentation Attack Detection by Attention-based and Deep Pixel-wise Binary Supervision Network

Iris presentation attack detection (PAD) plays a vital role in iris reco...

0 Meiling Fang, et al. ∙

research

∙ 06/10/2021

MiDeCon: Unsupervised and Accurate Fingerprint and Minutia Quality Assessment based on Minutia Detection Confidence

An essential factor to achieve high accuracies in fingerprint recognitio...

0 Philipp Terhörst, et al. ∙

research

∙ 05/31/2021

Demographic Fairness in Biometric Systems: What do the Experts say?

Algorithmic decision systems have frequently been labelled as "biased", ...

0 Christian Rathgeb, et al. ∙

research

∙ 03/02/2021

Masked Face Recognition: Human vs. Machine

The recent COVID-19 pandemic has increased the focus on hygienic and con...

0 Naser Damer, et al. ∙

research

∙ 03/02/2021

Unmasking Face Embeddings by Self-restrained Triplet Loss for Accurate Masked Face Recognition

Using the face as a biometric identity trait is motivated by the contact...

0 Fadi Boutros, et al. ∙

research

∙ 03/02/2021

A Comprehensive Study on Face Recognition Biases Beyond Demographics

Face recognition (FR) systems have a growing effect on critical decision...

0 Philipp Terhörst, et al. ∙

research

∙ 03/02/2021

Real Masks and Fake Faces: On the Masked Face Presentation Attack Detection

The ongoing COVID-19 pandemic has lead to massive public health issues. ...

0 Meiling Fang, et al. ∙

research

∙ 02/18/2021

Biometrics in the Era of COVID-19: Challenges and Opportunities

Since early 2020 the COVID-19 pandemic has had a considerable impact on ...

12 Marta Gomez-Barrero, et al. ∙

research

∙ 12/02/2020

MAAD-Face: A Massively Annotated Attribute Dataset for Face Images

Soft-biometrics play an important role in face biometrics and related fi...

6 Philipp Terhörst, et al. ∙

research

∙ 10/28/2020

Micro Stripes Analyses for Iris Presentation Attack Detection

Iris recognition systems are vulnerable to the presentation attacks, suc...

0 Meiling Fang, et al. ∙

research

∙ 10/20/2020

On Benchmarking Iris Recognition within a Head-mounted Display for AR/VR Application

Augmented and virtual reality is being deployed in different fields of a...

0 Fadi Boutros, et al. ∙

Naser Damer

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