Zilverling

dr. N. Strisciuglio (Nicola)

Universitair hoofddocent
EEMCS-CS-DMB
Zilverling 4122
n.strisciuglio@utwente.nl
+31534899326
Visitekaartje

Publicaties

Jump to: 2025 | 2024

2025

Enhanced demographic privacy in face recognition: From images to templates (2025)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Rezgui, Z.https://doi.org/10.3990/1.9789036564489PushPull-Net: Inhibition-Driven ResNet Robust to Image Corruptions (2025)In Pattern Recognition: 27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part VIII (pp. 391-408). Article Chapter 26 ( Lecture Notes in Computer Science; Vol. 15308). Springer. Bennabhaktula, G. S., Alegre, E., Strisciuglio, N. & Azzopardi, G.https://doi.org/10.1007/978-3-031-78186-5_26

2024

RDA-INR: Riemannian Diffeomorphic Autoencoding via Implicit Neural Representations (2024)SIAM journal on imaging sciences, 17(4), 2302 - 2330. Dummer, S., Brune, C. & Strisciuglio, N.https://doi.org/10.1137/24M1644730Controllable Privacy in Face Recognition: A Filter-based Approach (2024)In 2024 IEEE International Joint Conference on Biometrics (IJCB). Article 10744519. IEEE. Rezgui, Z., Strisciuglio, N. & Veldhuis, R.https://doi.org/10.1109/IJCB62174.2024.10744519Synthetic Data-Based Training of Instance Segmentation: A Robotic Bin-Picking Pipeline for Chicken Fillets (2024)In 2024 IEEE 20th International Conference on Automation Science and Engineering, CASE 2024 (pp. 2805-2812) (IEEE International Conference on Automation Science and Engineering). IEEE. Jonker, M., Roozing, W. & Strisciuglio, N.https://doi.org/10.1109/CASE59546.2024.10711568Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness (2024)[Working paper › Preprint]. ArXiv.org. Wu, B., Xiao, Q., Wang, S., Strisciuglio, N., Pechenizkiy, M., van Keulen, M., Mocanu, D. C. & Mocanu, E.https://doi.org/10.48550/arXiv.2410.03030CAST: Clustering self-Attention using Surrogate Tokens for efficient transformers (2024)Pattern recognition letters, 186, 30-36. van Engelenhoven, A., Strisciuglio, N. & Talavera, E.https://doi.org/10.1016/j.patrec.2024.08.024Fourier-Basis Functions to Bridge Augmentation Gap: Rethinking Frequency Augmentation in Image Classification (2024)In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 17763-17772). Article 10655510. IEEE. Vaish, P., Wang, S. & Strisciuglio, N.https://doi.org/10.1109/CVPR52733.2024.01682PushPull-Net: Inhibition-Driven ResNet Robust to Image Corruptions (2024)[Working paper › Preprint]. ArXiv.org. Bennabhaktula, G. S., Alegre, E., Strisciuglio, N. & Azzopardi, G.https://doi.org/10.48550/arXiv.2408.04077Indoor scene recognition from images under visual corruptions (2024)[Working paper › Preprint]. de Lima Costa, W., Ismayilov, R., Strisciuglio, N. & Martinez, E. T.https://doi.org/10.48550/arXiv.2408.13029Quantifying White Matter Hyperintensity and Brain Volumes in Heterogeneous Clinical and Low-Field Portable MRI (2024)In 2024 IEEE International Symposium on Biomedical Imaging (ISBI): 27-30 May, 2024 - Athens, Greece, Megaron Athens International Conference Centre (pp. 1-5). Article 10635502. IEEE. Laso, P., Cerri, S., Sorby-Adams, A., Guo, J., Mateen, F., Goebl, P., Wu, J., Liu, P., Li, H. B., Young, S. I., Billot, B., Puonti, O., Sze, G., Payabavash, S., DeHavenon, A., Sheth, K. N., Rosen, M. S., Kirsch, J., Strisciuglio, N., … Iglesias, J. E.https://doi.org/10.1109/ISBI56570.2024.10635502Optimized network for detecting burr-breakage in images of milling workpieces (2024)Logic Journal of the IGPL, 32(4), 624-633. Del Castillo, V. R., Sánchez-González, L. & Strisciuglio, N.https://doi.org/10.1093/jigpal/jzae024Gender Privacy Angular Constraints for Face Recognition (2024)IEEE Transactions on Biometrics, Behavior, and Identity Science, 6(3), 352-363. Rezgui, Z., Strisciuglio, N. & Veldhuis, R.https://doi.org/10.1109/TBIOM.2024.3390586Fourier-basis Functions to Bridge Augmentation Gap: Rethinking Frequency Augmentation in Image Classification: ImageNet models (2024)[Dataset Types › Dataset]. Zenodo. Vaish, P., Wang, S. & Strisciuglio, N.https://doi.org/10.5281/zenodo.13755776Rda-Inr: Riemannian Diffeomorphic Autoencoding Via Implicit Neural Representations (2024)[Contribution to conference › Poster] SIAM Conference on Imaging Science, IS 2024. Dummer, S., Strisciuglio, N. & Brune, C.

Onderzoeksprofielen

Verbonden aan opleidingen

Vakken collegejaar 2024/2025

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 2023/2024

Scan de QR-code of
Download vCard