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prof.dr.ir. R.N.J. Veldhuis (Raymond)

Guest Researcher

Expertise

Engineering & Materials Science
Biometrics
Classifiers
Deep Learning
Face Recognition
Feature Extraction
Image Resolution
Palmprint Recognition
Medicine & Life Sciences
Deep Learning

Publications

Recent
Ghafourian, M., Fierrez, J., Gomez, L. F., Vera-Rodriguez, R., Morales, A. , Rezgui, Z. , & Veldhuis, R. (2023). Toward Face Biometric De-identification using Adversarial Examples. In H. Shahriar, Y. Teranishi, A. Cuzzocrea, M. Sharmin, D. Towey, AKMJA. Majumder, H. Kashiwazaki, JJ. Yang, M. Takemoto, N. Sakib, R. Banno, & SI. Ahamed (Eds.), 2023 IEEE 47th Annual Computers, Software, And Applications Conference, Compsac (pp. 723-728). IEEE. https://doi.org/10.1109/COMPSAC57700.2023.00099
Wang, S. , Brune, C. , Veldhuis, R. , & Strisciuglio, N. (2023). DFM-X: Augmentation by Leveraging Prior Knowledge of Shortcut Learning. In 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) (pp. 129-138). Article 10350684 (Proceedings IEEE/CVF International Conference on Computer Vision Workshops (ICCVW); Vol. 2023). IEEE. https://doi.org/10.1109/ICCVW60793.2023.00020
Wang, S. , Veldhuis, R. , Brune, C. , & Strisciuglio, N. (2023). What do neural networks learn in image classification? A frequency shortcut perspective. In 2023 IEEE/CVF International Conference on Computer Vision (ICCV) (pp. 1433-1442). Article 10378114 (Proceedings IEEE/CVF International Conference on Computer Vision (ICCV); Vol. 2023). IEEE. https://doi.org/10.1109/ICCV51070.2023.00138
Arican, T. , Veldhuis, R. , & Spreeuwers, L. (2023). Exploring the Untapped Potential of Unsupervised Representation Learning for Training Set Agnostic Finger Vein Recognition. In N. Damer, M. Gomez-Barrero, K. Raja, C. Rathgeb, A. F. Sequeira, M. Todisco, & A. Uhl (Eds.), BIOSIG 2023 - Proceedings of the 22nd International Conference of the Biometrics Special Interest Group (pp. 1-6). (Proceedings International Conference of the Biometrics Special Interest Group (BIOSIG); Vol. 2023, No. 22). IEEE. https://doi.org/10.1109/BIOSIG58226.2023.10345775
Otroshi Shahreza, H. , Bassit, A. , Veldhuis, R., & Marcel, S. (2023). Remote Cancelable Biometric System for Verification and Identification Applications. In IEEE International Conference of the Biometrics Special Interest Group (BIOSIG) 2023 IEEE.
Bassit, A. , Hahn, F. , Veldhuis, R. , & Peter, A. (2023). Improved Multiplication-Free Biometric Recognition under Encryption. IEEE Transactions on Biometrics, Behavior, and Identity Science. Advance online publication. https://doi.org/10.1109/TBIOM.2023.3340306
Bassit, A. (2023). Fast and Accurate Biometric Search under Encryption. [PhD Thesis - Research UT, graduation UT, University of Twente]. University of Twente. https://doi.org/10.3990/1.9789036559218
Lestriandoko, N. H. , Spreeuwers, L. , & Veldhuis, R. (2023). The Impact of Eyebrows Region on Deep Face Recognition. In 2023 10th International Conference on Computer, Control, Informatics and its Applications: Exploring the Power of Data: Leveraging Information to Drive Digital Innovation, IC3INA 2023 (pp. 319-323). IEEE. https://doi.org/10.1109/IC3INA60834.2023.10285734

UT Research Information System

Courses Academic Year  2023/2024

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.
 

Courses Academic Year  2022/2023

Contact Details

Visiting Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling (building no. 11), room 4074
Hallenweg 19
7522NH  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling  4074
P.O. Box 217
7500 AE Enschede
The Netherlands