Expertises
Engineering & Materials Science
# Biometrics
# Classifiers
# Deep Learning
# Face Recognition
# Feature Extraction
# Image Resolution
# Palmprint Recognition
Medicine & Life Sciences
# Deep Learning
Verbonden aan
Publicaties
Recent
Bassit, A., Hahn, F.
, Veldhuis, R. N. J.
, & Peter, A. (2023).
Multiplication-Free Biometric Recognition for Faster Processing under Encryption. In
2022 IEEE International Joint Conference on Biometrics (IJCB)
https://doi.org/10.1109/IJCB54206.2022.10007958
Kelly, U. M.
, Spreeuwers, L.
, & Veldhuis, R. (2023).
Exploring Face De-Identification using Latent Spaces. In
2022 IEEE International Joint Conference on Biometrics (IJCB) (pp. 1-7). [10007990] (IEEE International Joint Conference on Biometrics (IJCB); Vol. 2022). IEEE.
https://doi.org/10.1109/IJCB54206.2022.10007990
Atashgahi, Z.
, Mocanu, D. C.
, Veldhuis, R. N. J., & Pechenizkiy, M. (2022).
Memory-free Online Change-point Detection: A Novel Neural Network Approach. arXiv.org.
https://arxiv.org/abs/2207.03932
Wang, S.
, Veldhuis, R.
, Brune, C.
, & Strisciuglio, N. (2022).
Frequency Shortcut Learning in Neural Networks. In
NeurIPS 2022 Workshop on Distribution Shifts: Connecting Methods and Applications
https://openreview.net/forum?id=zAfUHtSGWw
Atashgahi, Z., Pieterse, J., Liu, S.
, Mocanu, D. C.
, Veldhuis, R. N. J., & Pechenizkiy, M. (2022).
A brain-inspired algorithm for training highly sparse neural networks.
Machine Learning,
111(12), 4411-4452.
https://doi.org/10.1007/s10994-022-06266-w
Arican, T.
, Veldhuis, R.
, & Spreeuwers, L. (2022).
Fingers Crossed: An Analysis of Cross-Device Finger Vein Recognition. In A. Bromme, N. Damer, M. Gomez-Barrero, K. Raja, C. Rathgeb, A. F. Sequeira, M. Todisco, & A. Uhl (Eds.),
2022 International Conference of the Biometrics Special Interest Group (BIOSIG) IEEE.
https://doi.org/10.1109/BIOSIG55365.2022.9897029
Haasnoot, E.
, Spreeuwers, L. J.
, & Veldhuis, R. N. J. (2022).
Presentation attack detection and biometric recognition in a challenge-response formalism.
EURASIP journal on information security,
2022(1), [5].
https://doi.org/10.1186/s13635-022-00131-y
Lestriandoko, N. H.
, Veldhuis, R.
, & Spreeuwers, L. (2022).
The contribution of different face parts to deep face recognition.
Frontiers in Computer Science,
4, 1-16. [958629].
https://doi.org/10.3389/fcomp.2022.958629
Rezgui, Z., Bassit, A.
, & Veldhuis, R. (2022).
Transferability analysis of adversarial attacks on gender classification to face recognition: Fixed and variable attack perturbation.
IET biometrics,
11(5), 407-419.
https://doi.org/10.1049/bme2.12082
Bassit, A., Hahn, F.
, Veldhuis, R.
, & Peter, A. (2022).
Hybrid biometric template protection: Resolving the agony of choice between bloom filters and homomorphic encryption.
IET biometrics,
11(5), 430-444.
https://doi.org/10.1049/bme2.12075
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Vakken Collegejaar 2022/2023
Vakken in het huidig collegejaar worden toegevoegd op het moment dat zij definitief zijn in het Osiris systeem. Daarom kan het zijn dat de lijst nog niet compleet is voor het gehele collegejaar.
Vakken Collegejaar 2021/2022
Contactgegevens
Bezoekadres
Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
(gebouwnr. 11), kamer 4074
Hallenweg 19
7522NH Enschede
Postadres
Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
4074
Postbus 217
7500 AE Enschede