activity
20172021
most citedA survey of face recognition techniques under occlusion

22 citations · 26 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CR2021

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…

cs.LG2020

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…

cs.CV202022 cited

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…

cs.CV2019

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…

cs.CR20174 cited

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…