40 citations · 184 across the 41 of their papers we have counts for
48 papers · 1 filter
One-to-many Reconstruction of 3D Geometry of cultural Artifacts using a synthetically trained Generative Model
Thomas Pöllabauer, Julius Kühn, Jiayi Li +1
Estimating the 3D shape of an object using a single image is a difficult problem. Modern approaches achieve good results for general objects, based on real photographs, but worse r…
IDiff-Face: Synthetic-based Face Recognition through Fizzy Identity-Conditioned Diffusion Models
Fadi Boutros, Jonas Henry Grebe, Arjan Kuijper +1
The availability of large-scale authentic face databases has been crucial to the significant advances made in face recognition research over the past decade. However, legal and eth…
ExFaceGAN: Exploring Identity Directions in GAN's Learned Latent Space for Synthetic Identity Generation
Fadi Boutros, Marcel Klemt, Meiling Fang +2
Deep generative models have recently presented impressive results in generating realistic face images of random synthetic identities. To generate multiple samples of a certain synt…
Identity-driven Three-Player Generative Adversarial Network for Synthetic-based Face Recognition
Jan Niklas Kolf, Tim Rieber, Jurek Elliesen +3
Many of the commonly used datasets for face recognition development are collected from the internet without proper user consent. Due to the increasing focus on privacy in the socia…
Unsupervised Face Recognition using Unlabeled Synthetic Data
Fadi Boutros, Marcel Klemt, Meiling Fang +2
Over the past years, the main research innovations in face recognition focused on training deep neural networks on large-scale identity-labeled datasets using variations of multi-c…
Stating Comparison Score Uncertainty and Verification Decision Confidence Towards Transparent Face Recognition
Marco Huber, Philipp Terhörst, Florian Kirchbuchner +2
Face Recognition (FR) is increasingly used in critical verification decisions and thus, there is a need for assessing the trustworthiness of such decisions. The confidence of a dec…
Fairness in Face Presentation Attack Detection
Meiling Fang, Wufei Yang, Arjan Kuijper +2
Face recognition (FR) algorithms have been proven to exhibit discriminatory behaviors against certain demographic and non-demographic groups, raising ethical and legal concerns reg…
QuantFace: Towards Lightweight Face Recognition by Synthetic Data Low-bit Quantization
Fadi Boutros, Naser Damer, Arjan Kuijper
Deep learning-based face recognition models follow the common trend in deep neural networks by utilizing full-precision floating-point networks with high computational costs. Deplo…
On the (Limited) Generalization of MasterFace Attacks and Its Relation to the Capacity of Face Representations
Philipp Terhörst, Florian Bierbaum, Marco Huber +4
A MasterFace is a face image that can successfully match against a large portion of the population. Since their generation does not require access to the information of the enrolle…
Pixel-Level Face Image Quality Assessment for Explainable Face Recognition
Philipp Terhörst, Marco Huber, Naser Damer +3
An essential factor to achieve high performance in face recognition systems is the quality of its samples. Since these systems are involved in daily life there is a strong need of…
Partial Attack Supervision and Regional Weighted Inference for Masked Face Presentation Attack Detection
Meiling Fang, Fadi Boutros, Arjan Kuijper +1
Wearing a mask has proven to be one of the most effective ways to prevent the transmission of SARS-CoV-2 coronavirus. However, wearing a mask poses challenges for different face re…
Learnable Multi-level Frequency Decomposition and Hierarchical Attention Mechanism for Generalized Face Presentation Attack Detection
Meiling Fang, Naser Damer, Florian Kirchbuchner +1
With the increased deployment of face recognition systems in our daily lives, face presentation attack detection (PAD) is attracting much attention and playing a key role in securi…
QMagFace: Simple and Accurate Quality-Aware Face Recognition
Philipp Terhörst, Malte Ihlefeld, Marco Huber +4
Face recognition systems have to deal with large variabilities (such as different poses, illuminations, and expressions) that might lead to incorrect matching decisions. These vari…
PW-MAD: Pixel-wise Supervision for Generalized Face Morphing Attack Detection
Naser Damer, Noemie Spiller, Meiling Fang +3
A face morphing attack image can be verified to multiple identities, making this attack a major vulnerability to processes based on identity verification, such as border checks. Va…
ReGenMorph: Visibly Realistic GAN Generated Face Morphing Attacks by Attack Re-generation
Naser Damer, Kiran Raja, Marius Süßmilch +6
Face morphing attacks aim at creating face images that are verifiable to be the face of multiple identities, which can lead to building faulty identity links in operations like bor…
ElasticFace: Elastic Margin Loss for Deep Face Recognition
Fadi Boutros, Naser Damer, Florian Kirchbuchner +1
Learning discriminative face features plays a major role in building high-performing face recognition models. The recent state-of-the-art face recognition solutions proposed to inc…
PocketNet: Extreme Lightweight Face Recognition Network using Neural Architecture Search and Multi-Step Knowledge Distillation
Fadi Boutros, Patrick Siebke, Marcel Klemt +3
Deep neural networks have rapidly become the mainstream method for face recognition (FR). However, this limits the deployment of such models that contain an extremely large number…
MixFaceNets: Extremely Efficient Face Recognition Networks
Fadi Boutros, Naser Damer, Meiling Fang +2
In this paper, we present a set of extremely efficient and high throughput models for accurate face verification, MixFaceNets which are inspired by Mixed Depthwise Convolutional Ke…
MFR 2021: Masked Face Recognition Competition
Fadi Boutros, Naser Damer, Jan Niklas Kolf +32
This paper presents a summary of the Masked Face Recognition Competitions (MFR) held within the 2021 International Joint Conference on Biometrics (IJCB 2021). The competition attra…
Iris Presentation Attack Detection by Attention-based and Deep Pixel-wise Binary Supervision Network
Meiling Fang, Naser Damer, Fadi Boutros +2
Iris presentation attack detection (PAD) plays a vital role in iris recognition systems. Most existing CNN-based iris PAD solutions 1) perform only binary label supervision during…
MiDeCon: Unsupervised and Accurate Fingerprint and Minutia Quality Assessment based on Minutia Detection Confidence
Philipp Terhörst, André Boller, Naser Damer +2
An essential factor to achieve high accuracies in fingerprint recognition systems is the quality of its samples. Previous works mainly proposed supervised solutions based on image…
A Comprehensive Study on Face Recognition Biases Beyond Demographics
Philipp Terhörst, Jan Niklas Kolf, Marco Huber +5
Face recognition (FR) systems have a growing effect on critical decision-making processes. Recent works have shown that FR solutions show strong performance differences based on th…
Masked Face Recognition: Human vs. Machine
Naser Damer, Fadi Boutros, Marius Süßmilch +3
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, essential t…
Self-restrained Triplet Loss for Accurate Masked Face Recognition
Fadi Boutros, Naser Damer, Florian Kirchbuchner +1
Using the face as a biometric identity trait is motivated by the contactless nature of the capture process and the high accuracy of the recognition algorithms. After the current CO…