University of Twente
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dr. N. Strisciuglio (Nicola)

Assistant Professor

Expertise

Engineering & Materials Science
# Acoustic Waves
# Blood Vessels
# Computer Vision
# Convolutional Neural Networks
# Experiments
# Skidding
Mathematics
# Brain
# Filter

Organisations

Publications

Recent
Pandey, V. , Brune, C. , & Strisciuglio, N. (2022). Self-supervised Learning Through Colorization for Microscopy Images. In S. Sclaroff, C. Distante, M. Leo, G. M. Farinella, & F. Tombari (Eds.), Image Analysis and Processing – ICIAP 2022: 21st International Conference, Lecce, Italy, May 23-27, 2022. Proceedings, Part II (pp. 621-632). (Lecture Notes in Computer Science; Vol. 13232). Springer. https://doi.org/10.1007/978-3-031-06430-2_52
Greco, A. , Strisciuglio, N., Vento, M. , & Vigilante, V. (2022). Benchmarking deep networks for facial emotion recognition in the wild. Multimedia tools and applications. https://doi.org/10.1007/s11042-022-12790-7
Brandt, R. , Strisciuglio, N., & Petkov, N. (2021). MTStereo 2.0: Accurate Stereo Depth Estimation via Max-Tree Matching. In N. Tsapatsoulis, A. Panayides, T. Theocharides, A. Lanitis, A. Lanitis, C. Pattichis, C. Pattichis, & M. Vento (Eds.), Computer Analysis of Images and Patterns - 19th International Conference, CAIP 2021, Proceedings (pp. 110-119). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13052 LNCS). Springer. https://doi.org/10.1007/978-3-030-89128-2_11
Mehra, A. , Spreeuwers, L. , & Strisciuglio, N. (2021). Deepfake detection using capsule networks and long short-term memory networks. In G. M. Farinella, P. Radeva, J. Braz, & K. Bouatouch (Eds.), Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP (pp. 407-414). SCITEPRESS. https://doi.org/10.5220/0010289004070414
Riego, V., Sánchez-González, L., Fernández-Robles, L., Gutiérrez-Fernández, A. , & Strisciuglio, N. (2021). Burr detection and classification using RUSTICO and image processing. Journal of computational science, 56, [101485]. https://doi.org/10.1016/j.jocs.2021.101485
Strisciuglio, N., & Petkov, N. (2021). Brain-Inspired Algorithms for Processing of Visual Data. In K. Amunts, L. Grandinetti, T. Lippert, & N. Petkov (Eds.), Brain-Inspired Computing - 4th International Workshop, BrainComp 2019, Revised Selected Papers (pp. 105-115). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12339 LNCS). Springer. https://doi.org/10.1007/978-3-030-82427-3_8
Brandt, R. , Strisciuglio, N., Petkov, N., & Wilkinson, M. H. F. (2020). Efficient binocular stereo correspondence matching with 1-D Max-Trees. Pattern recognition letters, 135, 402-408. https://doi.org/10.1016/j.patrec.2020.02.019
Ramachandran, S. , Strisciuglio, N., Vinekar, A., John, R., & Azzopardi, G. (2020). U-COSFIRE filters for vessel tortuosity quantification with application to automated diagnosis of retinopathy of prematurity. Neural Computing and Applications, 32(16), 12453-12468. https://doi.org/10.1007/s00521-019-04697-6
Strisciuglio, N., Lopez-Antequera, M., & Petkov, N. (2020). Enhanced Robustness of Convolutional Networks with a Push-Pull Inhibition Layer. Neural Computing and Applications, 32(24), 17957-17971. https://doi.org/10.1007/s00521-020-04751-8
Melotti, D., Heimbach, K., Rodríguez-Sánchez, A. , Strisciuglio, N., & Azzopardi, G. (2020). A robust contour detection operator with combined push-pull inhibition and surround suppression. Information sciences, 524, 229-240. https://doi.org/10.1016/j.ins.2020.03.026
Leyva-Vallina, M. , Strisciuglio, N., Lopez Antequera, M., Tylecek, R., Blaich, M., & Petkov, N. (2019). TB-places: A data set for visual place recognition in garden environments. IEEE Access, 7, 52277-52287. [8698240]. https://doi.org/10.1109/ACCESS.2019.2910150
Strisciuglio, N., Azzopardi, G., & Petkov, N. (2019). Brain-inspired robust delineation operator. In L. Leal-Taixé, & S. Roth (Eds.), Computer Vision – ECCV 2018 Workshops, Proceedings (pp. 555-565). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11131 LNCS). Springer. https://doi.org/10.1007/978-3-030-11015-4_41
Lopez-Antequera, M., Leyva Vallina, M. , Strisciuglio, N., & Petkov, N. (2019). Place and Object Recognition by CNN-Based COSFIRE Filters. IEEE Access, 7, 66157-66166. [8719902]. https://doi.org/10.1109/ACCESS.2019.2918267

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Affiliated Study Programmes

Master

Courses Academic Year  2021/2022

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  2020/2021

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Visiting Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling (building no. 11), room 4122
Hallenweg 19
7522NH  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling  4122
P.O. Box 217
7500 AE Enschede
The Netherlands

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University of Twente Drienerlolaan 5
7522 NB Enschede
+31 (0)53 489 9111
info@utwente.nl
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