Search Results for author: Arjan Kuijper

Found 55 papers, 23 papers with code

An Empirical Study of Uncertainty Estimation Techniques for Detecting Drift in Data Streams

no code implementations22 Nov 2023 Anton Winter, Nicolas Jourdan, Tristan Wirth, Volker Knauthe, Arjan Kuijper

In safety-critical domains such as autonomous driving and medical diagnosis, the reliability of machine learning models is crucial.

Autonomous Driving Medical Diagnosis

Generalization of Fitness Exercise Recognition from Doppler Measurements by Domain-adaption and Few-Shot Learning

no code implementations20 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.

Domain Adaptation Few-Shot Learning

Bias and Diversity in Synthetic-based Face Recognition

no code implementations7 Nov 2023 Marco Huber, Anh Thi Luu, Fadi Boutros, Arjan Kuijper, Naser Damer

In this work, we investigate how the diversity of synthetic face recognition datasets compares to authentic datasets, and how the distribution of the training data of the generative models affects the distribution of the synthetic data.

Attribute Synthetic Face Recognition

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

1 code implementation9 Aug 2023 Fadi Boutros, Jonas Henry Grebe, Arjan Kuijper, Naser Damer

The availability of large-scale authentic face databases has been crucial to the significant advances made in face recognition research over the past decade.

Ranked #2 on Synthetic Face Recognition on AgeDB-30 (Accuracy metric)

Synthetic Face Recognition

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

1 code implementation11 Jul 2023 Fadi Boutros, Marcel Klemt, Meiling Fang, Arjan Kuijper, Naser Damer

To generate multiple samples of a certain synthetic identity, previous works proposed to disentangle the latent space of GANs by incorporating additional supervision or regularization, enabling the manipulation of certain attributes.

Attribute Face Recognition

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

1 code implementation30 Apr 2023 Jan Niklas Kolf, Tim Rieber, Jurek Elliesen, Fadi Boutros, Arjan Kuijper, Naser Damer

We empirically proved that our IDnet synthetic images are of higher identity discrimination in comparison to the conventional two-player GAN, while maintaining a realistic intra-identity variation.

Generative Adversarial Network Synthetic Face Recognition

Extension of Dictionary-Based Compression Algorithms for the Quantitative Visualization of Patterns from Log Files

no code implementations10 Apr 2023 Igor Cherepanov, Jonathan Geraldi Joewono, Arjan Kuijper, Jörn Kohlhammer

This work presents an approach to detect frequent patterns in textual data that can be simultaneously registered during the file compression process with low consumption of resources.

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

1 code implementation ICCV 2023 Fadi Boutros, Jonas Henry Grebe, Arjan Kuijper, Naser Damer

The availability of large-scale authentic face databases has been crucial to the significant advances made in face recognition research over the past decade.

Face Recognition

Fairness in Face Presentation Attack Detection

1 code implementation19 Sep 2022 Meiling Fang, Wufei Yang, Arjan Kuijper, Vitomir Struc, Naser Damer

Face recognition (FR) algorithms have been proven to exhibit discriminatory behaviors against certain demographic and non-demographic groups, raising ethical and legal concerns regarding their deployment in real-world scenarios.

Attribute Data Augmentation +3

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

1 code implementation21 Jun 2022 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.

Lightweight Face Recognition Quantization

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

no code implementations23 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.

Face Recognition Fairness

QMagFace: Simple and Accurate Quality-Aware Face Recognition

1 code implementation26 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.

Face Image Quality Face Recognition +1

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

no code implementations8 Nov 2021 Meiling Fang, Fadi Boutros, Arjan Kuijper, Naser Damer

Our proposed method outperforms established PAD methods in the CRMA database by reducing the mentioned shortcomings when facing masked faces.

Face Presentation Attack Detection Face Recognition

Pixel-Level Face Image Quality Assessment for Explainable Face Recognition

1 code implementation21 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.

Face Image Quality Face Image Quality Assessment +1

ElasticFace: Elastic Margin Loss for Deep Face Recognition

2 code implementations20 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)

Face Recognition Face Verification

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

1 code implementation16 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.

Domain Adaptation Face Presentation Attack Detection +1

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

no code implementations23 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.

Face Morphing Attack Detection

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

no code implementations20 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.

Face Recognition Generative Adversarial Network

MixFaceNets: Extremely Efficient Face Recognition Networks

1 code implementation27 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.

Face Verification Lightweight Face Recognition

Masked Face Recognition: Human vs. Machine

no code implementations2 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.

Face Recognition Face Verification

Self-restrained Triplet Loss for Accurate Masked Face Recognition

1 code implementation2 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.

Face Recognition

A Comprehensive Study on Face Recognition Biases Beyond Demographics

no code implementations2 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.

Attribute Decision Making +1

Understanding Interpretability by generalized distillation in Supervised Classification

no code implementations5 Dec 2020 Adit Agarwal, Dr. K. K. Shukla, Arjan Kuijper, Anirban Mukhopadhyay

The ability to interpret decisions taken by Machine Learning (ML) models is fundamental to encourage trust and reliability in different practical applications.

Classification General Classification

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

1 code implementation2 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.

Attribute Face Recognition

Micro Stripes Analyses for Iris Presentation Attack Detection

no code implementations28 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.

Iris Recognition Iris Segmentation

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

no code implementations20 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.

Benchmarking Iris Recognition

Beyond Identity: What Information Is Stored in Biometric Face Templates?

no code implementations21 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.

Attribute Face Recognition +1

Progressive Bilateral-Context Driven Model for Post-Processing Person Re-Identification

1 code implementation7 Sep 2020 Min Cao, Chen Chen, Hao Dou, Xiyuan Hu, Silong Peng, Arjan Kuijper

Most existing person re-identification methods compute pairwise similarity by extracting robust visual features and learning the discriminative metric.

Large-Scale Person Re-Identification

AutoSNAP: Automatically Learning Neural Architectures for Instrument Pose Estimation

1 code implementation26 Jun 2020 David Kügler, Marc Uecker, Arjan Kuijper, Anirban Mukhopadhyay

Despite recent successes, the advances in Deep Learning have not yet been fully translated to Computer Assisted Intervention (CAI) problems such as pose estimation of surgical instruments.

Pose Estimation

Style-transfer GANs for bridging the domain gap in synthetic pose estimator training

no code implementations28 Apr 2020 Pavel Rojtberg, Thomas Pöllabauer, Arjan Kuijper

Given the dependency of current CNN architectures on a large training set, the possibility of using synthetic data is alluring as it allows generating a virtually infinite amount of labeled training data.

Style Transfer Translation

Unsupervised Enhancement of Soft-biometric Privacy with Negative Face Recognition

1 code implementation21 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.

Face Recognition

Post-Comparison Mitigation of Demographic Bias in Face Recognition Using Fair Score Normalization

1 code implementation10 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.

Face Recognition Fairness

Real-time texturing for 6D object instance detection from RGB Images

no code implementations13 Dec 2019 Pavel Rojtberg, Arjan Kuijper

For objected detection, the availability of color cues strongly influences detection rates and is even a prerequisite for many methods.

Efficient Pose Selection for Interactive Camera Calibration

1 code implementation9 Jul 2019 Pavel Rojtberg, Arjan Kuijper

This work presents a pose selection method that finds a compact and robust set of calibration poses and is suitable for interactive calibration.

Camera Calibration

Background Subtraction with Real-time Semantic Segmentation

no code implementations25 Nov 2018 Dongdong Zeng, Xiang Chen, Ming Zhu, Michael Goesele, Arjan Kuijper

Our proposed framework consists of two components, a traditional BGS segmenter $\mathcal{B}$ and a real-time semantic segmenter $\mathcal{S}$.

Foreground Segmentation Object Tracking +1

GANs for Medical Image Analysis

no code implementations13 Sep 2018 Salome Kazeminia, Christoph Baur, Arjan Kuijper, Bram van Ginneken, Nassir Navab, Shadi Albarqouni, Anirban Mukhopadhyay

Generative Adversarial Networks (GANs) and their extensions have carved open many exciting ways to tackle well known and challenging medical image analysis problems such as medical image de-noising, reconstruction, segmentation, data simulation, detection or classification.

General Classification

Combining Background Subtraction Algorithms with Convolutional Neural Network

no code implementations5 Jul 2018 Dongdong Zeng, Ming Zhu, Arjan Kuijper

Accurate and fast extraction of foreground object is a key prerequisite for a wide range of computer vision applications such as object tracking and recognition.

Object object-detection +2

Exploring Adversarial Examples: Patterns of One-Pixel Attacks

no code implementations25 Jun 2018 David Kügler, Alexander Distergoft, Arjan Kuijper, Anirban Mukhopadhyay

Failure cases of black-box deep learning, e. g. adversarial examples, might have severe consequences in healthcare.

Pose Estimation Test

Histograms of Gaussian normal distribution for feature matching in clutter scenes

no code implementations19 Jun 2017 Wei Zhou, Caiwen Ma, Arjan Kuijper

Especially in cluttered scenes there are many feature mismatches between scenes and models.

A Graphical Social Topology Model for Multi-Object Tracking

no code implementations14 Feb 2017 Shan Gao, Xiaogang Chen, Qixiang Ye, Junliang Xing, Arjan Kuijper, Xiangyang Ji

Inspired with the social affinity property of moving objects, we propose a Graphical Social Topology (GST) model, which estimates the group dynamics by jointly modeling the group structure and the states of objects using a topological representation.

Multi-Object Tracking Object

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