33 citations · 84 across the 14 of their papers we have counts for
22 papers
Generalization of Fitness Exercise Recognition from Doppler Measurements by Domain-adaption and Few-Shot Learning
Biying Fu, Naser Damer, Florian Kirchbuchner +1
In previous works, a mobile application was developed using an unmodified commercial off-the-shelf smartphone to recognize whole-body exercises. The working principle was based on…
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…
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…
MAAD-Face: A Massively Annotated Attribute Dataset for Face Images
Philipp Terhörst, Daniel Fährmann, Jan Niklas Kolf +3
Soft-biometrics play an important role in face biometrics and related fields since these might lead to biased performances, threatens the user's privacy, or are valuable for commer…
Micro Stripes Analyses for Iris Presentation Attack Detection
Meiling Fang, Naser Damer, Florian Kirchbuchner +1
Iris recognition systems are vulnerable to the presentation attacks, such as textured contact lenses or printed images. In this paper, we propose a lightweight framework to detect…
On Benchmarking Iris Recognition within a Head-mounted Display for AR/VR Application
Fadi Boutros, Naser Damer, Kiran Raja +3
Augmented and virtual reality is being deployed in different fields of applications. Such applications might involve accessing or processing critical and sensitive information, whi…
Beyond Identity: What Information Is Stored in Biometric Face Templates?
Philipp Terhörst, Daniel Fährmann, Naser Damer +2
Deeply-learned face representations enable the success of current face recognition systems. Despite the ability of these representations to encode the identity of an individual, re…
The Effect of Wearing a Mask on Face Recognition Performance: an Exploratory Study
Naser Damer, Jonas Henry Grebe, Cong Chen +3
Face recognition has become essential in our daily lives as a convenient and contactless method of accurate identity verification. Process such as identity verification at automati…
Face Quality Estimation and Its Correlation to Demographic and Non-Demographic Bias in Face Recognition
Philipp Terhörst, Jan Niklas Kolf, Naser Damer +2
Face quality assessment aims at estimating the utility of a face image for the purpose of recognition. It is a key factor to achieve high face recognition performances. Currently,…
SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness
Philipp Terhörst, Jan Niklas Kolf, Naser Damer +2
Face image quality is an important factor to enable high performance face recognition systems. Face quality assessment aims at estimating the suitability of a face image for recogn…
Demographic Bias in Presentation Attack Detection of Iris Recognition Systems
Meiling Fang, Naser Damer, Florian Kirchbuchner +1
With the widespread use of biometric systems, the demographic bias problem raises more attention. Although many studies addressed bias issues in biometric verification, there are n…
Unsupervised Enhancement of Soft-biometric Privacy with Negative Face Recognition
Philipp Terhörst, Marco Huber, Naser Damer +2
Current research on soft-biometrics showed that privacy-sensitive information can be deduced from biometric templates of an individual. Since for many applications, these templates…
Post-Comparison Mitigation of Demographic Bias in Face Recognition Using Fair Score Normalization
Philipp Terhörst, Jan Niklas Kolf, Naser Damer +2
Current face recognition systems achieve high progress on several benchmark tests. Despite this progress, recent works showed that these systems are strongly biased against demogra…
Cascaded Generation of High-quality Color Visible Face Images from Thermal Captures
Naser Damer, Fadi Boutros, Khawla Mallat +3
Generating visible-like face images from thermal images is essential to perform manual and automatic cross-spectrum face recognition. We successfully propose a solution based on ca…