University of Twente
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dr. N. Strisciuglio (Nicola)

Universitair docent

Expertises

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

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Publicaties

Recent
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
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
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
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
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
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
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
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
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
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
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
Saggese, A. , Strisciuglio, N., Vento, M., & Petkov, N. (2019). Learning skeleton representations for human action recognition. Pattern recognition letters, 118, 23-31. https://doi.org/10.1016/j.patrec.2018.03.005

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Master

Vakken Collegejaar  2021/2022

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  2020/2021

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Bezoekadres

Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling (gebouwnr. 11), kamer 4122
Hallenweg 19
7522NH  Enschede

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Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling  4122
Postbus 217
7500 AE Enschede

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