Zilverling

dr. N. Strisciuglio (Nicola)

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

Publicaties

Jump to: 2024 | 2023

2024

Gender 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.2024.3390586Rda-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.Enhancing Soft Biometric Face Template Privacy with Mutual Information-Based Image Attacks (2024)In 2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW) (pp. 1141-1149). Article 10495713. IEEE. Rezgui, Z., Strisciuglio, N. & Veldhuis, R.https://doi.org/10.1109/WACVW60836.2024.00124Fourier-basis Functions to Bridge Augmentation Gap: Rethinking Frequency Augmentation in Image Classification (2024)[Working paper › Preprint]. ArXiv.org. Vaish, P., Wang, S. & Strisciuglio, N.https://doi.org/10.48550/arXiv.2403.01944Fourier-basis Functions to Bridge Augmentation Gap: Rethinking Frequency Augmentation in Image Classification: CIFAR-10 models (2024)[Dataset Types › Dataset]. Zenodo. Vaish, P., Wang, S. & Strisciuglio, N.https://doi.org/10.48550/arXiv.2403.01944Regressing Transformers for Data-efficient Visual Place Recognition (2024)[Working paper › Preprint]. ArXiv.org. Leyva-Vallina, M., Strisciuglio, N. & Petkov, N.

2023

Quantifying white matter hyperintensity and brain volumes in heterogeneous clinical and low-field portable MRI (2023)[Working paper › Preprint]. ArXiv.org. Laso, P., Cerri, S., Sorby-Adams, A., Guo, J., Mateen, F., Goebl, P., Wu, J., Liu, P., Li, H., 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/10.48550/arXiv.2312.05119DFM-X: Augmentation by Leveraging Prior Knowledge of Shortcut Learning (2023)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. Wang, S., Brune, C., Veldhuis, R. & Strisciuglio, N.https://doi.org/10.1109/ICCVW60793.2023.00020What do neural networks learn in image classification? A frequency shortcut perspective (2023)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. Wang, S., Veldhuis, R., Brune, C. & Strisciuglio, N.https://doi.org/10.1109/ICCV51070.2023.00138Riemannian Shape Manifold Learning with Applications to Biological Data (2023)[Contribution to conference › Poster] EEMCS Research Networking Day 2023. Dummer, S., Strisciuglio, N. & Brune, C.DFM-X: Augmentation by Leveraging Prior Knowledge of Shortcut Learning (2023)[Working paper › Preprint]. ArXiv.org. Wang, S., Brune, C., Veldhuis, R. & Strisciuglio, N.https://doi.org/10.48550/arXiv.2308.06622Defocus Blur Synthesis and Deblurring via Interpolation and Extrapolation in Latent Space (2023)[Working paper › Preprint]. ArXiv.org. Mazilu, I., Wang, S., Dummer, S., Veldhuis, R., Brune, C. & Strisciuglio, N.https://doi.org/10.48550/arXiv.2307.15461What do neural networks learn in image classification?: A frequency shortcut perspective (2023)[Working paper › Preprint]. ArXiv.org. Wang, S., Veldhuis, R., Brune, C. & Strisciuglio, N.https://doi.org/10.48550/arXiv.2307.09829Data-efficient visual place recognition with graded similarity supervision (2023)[Contribution to conference › Paper] IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023. Leyva-Vallina, M., Strisciuglio, N. & Petkov, N.https://openaccess.thecvf.com/content/CVPR2023/papers/Leyva-Vallina_Data-Efficient_Large_Scale_Place_Recognition_With_Graded_Similarity_Supervision_CVPR_2023_paper.pdfRda-inr: Riemannian Diffeomorphic Autoencoding via Implicit Neural Representations (2023)[Working paper › Preprint]. ArXiv.org. Dummer, S., Strisciuglio, N. & Brune, C.https://doi.org/10.48550/arXiv.2305.12854

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