no code implementations • 20 Nov 2023 • Biying Fu, Naser Damer, Florian Kirchbuchner, Arjan Kuijper
In previous works, a mobile application was developed using an unmodified commercial off-the-shelf smartphone to recognize whole-body exercises.
no code implementations • 19 Oct 2022 • Marco Huber, Philipp Terhörst, Florian Kirchbuchner, Naser Damer, Arjan Kuijper
The confidence of a decision is often based on the overall performance of the model or on the image quality.
no code implementations • 23 Mar 2022 • Philipp Terhörst, Florian Bierbaum, Marco Huber, Naser Damer, Florian Kirchbuchner, Kiran Raja, Arjan Kuijper
However, previous works followed evaluation settings consisting of older recognition models, limited cross-dataset and cross-model evaluations, and the use of low-scale testing data.
1 code implementation • 10 Dec 2021 • Marco Huber, Fadi Boutros, Florian Kirchbuchner, Naser Damer
The emergence of the global COVID-19 pandemic poses new challenges for biometrics.
1 code implementation • 26 Nov 2021 • Philipp Terhörst, Malte Ihlefeld, Marco Huber, Naser Damer, Florian Kirchbuchner, Kiran Raja, Arjan Kuijper
These variabilities can be measured in terms of face image quality which is defined over the utility of a sample for recognition.
Ranked #1 on Face Verification on IJB-B
1 code implementation • 21 Oct 2021 • Philipp Terhörst, Marco Huber, Naser Damer, Florian Kirchbuchner, Kiran Raja, Arjan Kuijper
To achieve this, a model-specific quality value of the input image is estimated and used to build a sample-specific quality regression model.
no code implementations • 21 Oct 2021 • Biying Fu, Florian Kirchbuchner, Naser Damer
This work studies, for the first time, the effect of wearing a face mask on face image quality by utilising state-of-the-art face image quality assessment methods of different natures.
3 code implementations • 20 Sep 2021 • Fadi Boutros, Naser Damer, Florian Kirchbuchner, Arjan Kuijper
The recent state-of-the-art face recognition solutions proposed to incorporate a fixed penalty margin on commonly used classification loss function, softmax loss, in the normalized hypersphere to increase the discriminative power of face recognition models, by minimizing the intra-class variation and maximizing the inter-class variation.
Ranked #1 on Face Recognition on IJB-B (TAR @ FAR=0.0001 metric)
1 code implementation • 16 Sep 2021 • Meiling Fang, Naser Damer, Florian Kirchbuchner, Arjan Kuijper
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 securing face recognition systems.
1 code implementation • 24 Aug 2021 • Fadi Boutros, Patrick Siebke, Marcel Klemt, Naser Damer, Florian Kirchbuchner, Arjan Kuijper
However, this limits the deployment of such models that contain an extremely large number of parameters to embedded and low-end devices.
Ranked #2 on Lightweight Face Recognition on CALFW
no code implementations • 23 Aug 2021 • Naser Damer, Noemie Spiller, Meiling Fang, Fadi Boutros, Florian Kirchbuchner, Arjan Kuijper
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.
no code implementations • 20 Aug 2021 • Naser Damer, Kiran Raja, Marius Süßmilch, Sushma Venkatesh, Fadi Boutros, Meiling Fang, Florian Kirchbuchner, Raghavendra Ramachandra, Arjan Kuijper
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 border checks.
1 code implementation • 27 Jul 2021 • Fadi Boutros, Naser Damer, Meiling Fang, Florian Kirchbuchner, Arjan Kuijper
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 Kernels.
Ranked #3 on Lightweight Face Recognition on IJB-C
no code implementations • 29 Jun 2021 • Fadi Boutros, Naser Damer, Jan Niklas Kolf, Kiran Raja, Florian Kirchbuchner, Raghavendra Ramachandra, Arjan Kuijper, Pengcheng Fang, Chao Zhang, Fei Wang, David Montero, Naiara Aginako, Basilio Sierra, Marcos Nieto, Mustafa Ekrem Erakin, Ugur Demir, Hazim Kemal, Ekenel, Asaki Kataoka, Kohei Ichikawa, Shizuma Kubo, Jie Zhang, Mingjie He, Dan Han, Shiguang Shan, Klemen Grm, Vitomir Štruc, Sachith Seneviratne, Nuran Kasthuriarachchi, Sanka Rasnayaka, Pedro C. Neto, Ana F. Sequeira, Joao Ribeiro Pinto, Mohsen Saffari, Jaime S. Cardoso
These teams successfully submitted 18 valid solutions.
no code implementations • 28 Jun 2021 • Meiling Fang, Naser Damer, Fadi Boutros, Florian Kirchbuchner, Arjan Kuijper
Iris presentation attack detection (PAD) plays a vital role in iris recognition systems.
1 code implementation • 10 Jun 2021 • Philipp Terhörst, André Boller, Naser Damer, Florian Kirchbuchner, Arjan Kuijper
The implementation is publicly available.
no code implementations • 2 Mar 2021 • Naser Damer, Fadi Boutros, Marius Süßmilch, Meiling Fang, Florian Kirchbuchner, Arjan Kuijper
This work provides a joint evaluation and in-depth analyses of the face verification performance of human experts in comparison to state-of-the-art automatic FR solutions.
1 code implementation • 2 Mar 2021 • Fadi Boutros, Naser Damer, Florian Kirchbuchner, Arjan Kuijper
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.
no code implementations • 2 Mar 2021 • Philipp Terhörst, Jan Niklas Kolf, Marco Huber, Florian Kirchbuchner, Naser Damer, Aythami Morales, Julian Fierrez, Arjan Kuijper
However, to enable a trustworthy FR technology, it is essential to know the influence of an extended range of facial attributes on FR beyond demographics.
no code implementations • 2 Mar 2021 • Meiling Fang, Naser Damer, Florian Kirchbuchner, Arjan Kuijper
Face masks have become one of the main methods for reducing the transmission of COVID-19.
1 code implementation • 2 Dec 2020 • Philipp Terhörst, Daniel Fährmann, Jan Niklas Kolf, Naser Damer, Florian Kirchbuchner, Arjan Kuijper
In this work, we propose MAADFace, a new face annotations database that is characterized by the large number of its high-quality attribute annotations.
no code implementations • 28 Oct 2020 • Meiling Fang, Naser Damer, Florian Kirchbuchner, Arjan Kuijper
In this paper, we propose a lightweight framework to detect iris presentation attacks by extracting multiple micro-stripes of expanded normalized iris textures.
no code implementations • 20 Oct 2020 • Fadi Boutros, Naser Damer, Kiran Raja, Raghavendra Ramachandra, Florian Kirchbuchner, Arjan Kuijper
Motivated by the performance of iris recognition, we also propose the continuous authentication of users in a non-collaborative capture setting in HMD.
no code implementations • 21 Sep 2020 • Philipp Terhörst, Daniel Fährmann, Naser Damer, Florian Kirchbuchner, Arjan Kuijper
For evaluating the predictability of the attributes, we trained a massive attribute classifier that is additionally able to accurately state its prediction confidence.
no code implementations • 27 Jul 2020 • Naser Damer, Jonas Henry Grebe, Cong Chen, Fadi Boutros, Florian Kirchbuchner, Arjan Kuijper
The recent COVID-19 pandemic have increased the value of hygienic and contactless identity verification.
1 code implementation • 2 Apr 2020 • Philipp Terhörst, Jan Niklas Kolf, Naser Damer, Florian Kirchbuchner, Arjan Kuijper
Face quality assessment aims at estimating the utility of a face image for the purpose of recognition.
3 code implementations • 20 Mar 2020 • Philipp Terhörst, Jan Niklas Kolf, Naser Damer, Florian Kirchbuchner, Arjan Kuijper
Face image quality is an important factor to enable high performance face recognition systems.
Ranked #1 on Face Quality Assessement on LFW
no code implementations • 6 Mar 2020 • Meiling Fang, Naser Damer, Florian Kirchbuchner, Arjan Kuijper
With the widespread use of biometric systems, the demographic bias problem raises more attention.
1 code implementation • 21 Feb 2020 • Philipp Terhörst, Marco Huber, Naser Damer, Florian Kirchbuchner, Arjan Kuijper
Current research on soft-biometrics showed that privacy-sensitive information can be deduced from biometric templates of an individual.
1 code implementation • 10 Feb 2020 • Philipp Terhörst, Jan Niklas Kolf, Naser Damer, Florian Kirchbuchner, Arjan Kuijper
In contrast to previous works, our fair normalization approach enhances the overall performance by up to 53. 2% at false match rate of 0. 001 and up to 82. 9% at a false match rate of 0. 00001.
no code implementations • 21 Oct 2019 • Naser Damer, Fadi Boutros, Khawla Mallat, Florian Kirchbuchner, Jean-Luc Dugelay, Arjan Kuijper
Generating visible-like face images from thermal images is essential to perform manual and automatic cross-spectrum face recognition.