167 citations · 294 across the 15 of their papers we have counts for
16 papers
Do ImageNet-trained models learn shortcuts? The impact of frequency shortcuts on generalization
Shunxin Wang, Raymond Veldhuis, Nicola Strisciuglio
Frequency shortcuts refer to specific frequency patterns that models heavily rely on for correct classification. Previous studies have shown that models trained on small image data…
Worst-Case Morphs using Wasserstein ALI and Improved MIPGAN
Una M. Kelly, Meike Nauta, Lu Liu +2
A morph is a combination of two separate facial images and contains identity information of two different people. When used in an identity document, both people can be authenticate…
NeutrEx: A 3D Quality Component Measure on Facial Expression Neutrality
Marcel Grimmer, Christian Rathgeb, Raymond Veldhuis +1
Accurate face recognition systems are increasingly important in sensitive applications like border control or migration management. Therefore, it becomes crucial to quantify the qu…
A Survey on the Robustness of Computer Vision Models against Common Corruptions
Shunxin Wang, Raymond Veldhuis, Christoph Brune +1
The performance of computer vision models are susceptible to unexpected changes in input images caused by sensor errors or extreme imaging environments, known as common corruptions…
Toward Face Biometric De-identification using Adversarial Examples
Mahdi Ghafourian, Julian Fierrez, Luis Felipe Gomez +4
The remarkable success of face recognition (FR) has endangered the privacy of internet users particularly in social media. Recently, researchers turned to use adversarial examples…
Memory-free Online Change-point Detection: A Novel Neural Network Approach
Zahra Atashgahi, Decebal Constantin Mocanu, Raymond Veldhuis +1
Change-point detection (CPD), which detects abrupt changes in the data distribution, is recognized as one of the most significant tasks in time series analysis. Despite the extensi…
Biometric Verification Secure Against Malicious Adversaries
Amina Bassit, Florian Hahn, Joep Peeters +3
Biometric verification has been widely deployed in current authentication solutions as it proves the physical presence of individuals. To protect the sensitive biometric data in su…
Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for Autoencoders
Zahra Atashgahi, Ghada Sokar, Tim van der Lee +4
Major complications arise from the recent increase in the amount of high-dimensional data, including high computational costs and memory requirements. Feature selection, which iden…
A survey of face recognition techniques under occlusion
Dan Zeng, Raymond Veldhuis, Luuk Spreeuwers
The limited capacity to recognize faces under occlusions is a long-standing problem that presents a unique challenge for face recognition systems and even for humans. The problem r…
Morphing Attack Detection -- Database, Evaluation Platform and Benchmarking
Kiran Raja, Matteo Ferrara, Annalisa Franco +18
Morphing attacks have posed a severe threat to Face Recognition System (FRS). Despite the number of advancements reported in recent works, we note serious open issues such as indep…
Deep convolutional neural networks for multi-planar lung nodule detection: improvement in small nodule identification
Sunyi Zheng, Ludo J. Cornelissen, Xiaonan Cui +4
Objective: In clinical practice, small lung nodules can be easily overlooked by radiologists. The paper aims to provide an efficient and accurate detection system for small lung no…
Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection
Sunyi Zheng, Jiapan Guo, Xiaonan Cui +3
Accurate pulmonary nodule detection is a crucial step in lung cancer screening. Computer-aided detection (CAD) systems are not routinely used by radiologists for pulmonary nodule d…
A Brain-inspired Algorithm for Training Highly Sparse Neural Networks
Zahra Atashgahi, Joost Pieterse, Shiwei Liu +3
Sparse neural networks attract increasing interest as they exhibit comparable performance to their dense counterparts while being computationally efficient. Pruning the dense neura…
Fast and Accurate Likelihood Ratio Based Biometric Comparison in the Encrypted Domain
Joep Peeters, Andreas Peter, Raymond N. J. Veldhuis
As applications of biometric verification proliferate, users become more vulnerable to privacy infringement. Biometric data is very privacy sensitive as it may contain information…
Predicting Face Recognition Performance Using Image Quality
Abhishek Dutta, Raymond Veldhuis, Luuk Spreeuwers
This paper proposes a data driven model to predict the performance of a face recognition system based on image quality features. We model the relationship between image quality fea…
Can Facial Uniqueness be Inferred from Impostor Scores?
Abhishek Dutta, Raymond Veldhuis, Luuk Spreeuwers
In Biometrics, facial uniqueness is commonly inferred from impostor similarity scores. In this paper, we show that such uniqueness measures are highly unstable in the presence of i…