dr. N. Strisciuglio (Nicola)

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

Publicaties

2024
Rda-Inr: Riemannian Diffeomorphic Autoencoding Via Implicit Neural Representations. Dummer, S., Strisciuglio, N. & Brune, C.Gender Privacy Angular Constraints for Face Recognition, 1-1 (E-pub ahead of print/First online). Rezgui, Z., Strisciuglio, N. & Veldhuis, R.https://doi.org/10.1109/TBIOM.2024.3390586Enhancing Soft Biometric Face Template Privacy with Mutual Information-Based Image AttacksIn 2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW), Article 10495713 (pp. 1141-1149). 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. ArXiv.org. Vaish, P., Wang, S. & Strisciuglio, N.https://doi.org/10.48550/arXiv.2403.01944Regressing Transformers for Data-efficient Visual Place Recognition. 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. 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.2312.05119What do neural networks learn in image classification? A frequency shortcut perspectiveIn 2023 IEEE/CVF International Conference on Computer Vision (ICCV), Article 10378114 (pp. 1433-1442). IEEE. Wang, S., Veldhuis, R., Brune, C. & Strisciuglio, N.https://doi.org/10.1109/ICCV51070.2023.00138DFM-X: Augmentation by Leveraging Prior Knowledge of Shortcut LearningIn 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), Article 10350684 (pp. 129-138). IEEE. Wang, S., Brune, C., Veldhuis, R. & Strisciuglio, N.https://doi.org/10.1109/ICCVW60793.2023.00020Riemannian Shape Manifold Learning with Applications to Biological Data. Dummer, S., Strisciuglio, N. & Brune, C.DFM-X: Augmentation by Leveraging Prior Knowledge of Shortcut Learning. 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. 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. 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. 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.pdfRSA-INR: Riemannian Shape Autoencoding via 4D Implicit Neural Representations, 1-26. ArXiv.org. Dummer, S., Brune, C. & Strisciuglio, N.https://arxiv.org/abs/2305.12854Rda-inr: Riemannian Diffeomorphic Autoencoding via Implicit Neural Representations. ArXiv.org. Dummer, S., Strisciuglio, N. & Brune, C.https://doi.org/10.48550/arXiv.2305.12854

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Vakken collegejaar 2023/2024

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 2022/2023

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