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dr. N. Strisciuglio (Nicola)

Universitair hoofddocent

Publicaties

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Leyva-Vallina, M. , Strisciuglio, N., & Petkov, N. (2023). Data-Efficient Large Scale Place Recognition with Graded Similarity Supervision. In Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023 (pp. 23487-23496). (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; Vol. 2023). IEEE. https://doi.org/10.1109/CVPR52729.2023.02249
Mazilu, I., Wang, S. , Dummer, S. , Veldhuis, R. , Brune, C. , & Strisciuglio, N. (2023). Defocus Blur Synthesis and Deblurring via Interpolation and Extrapolation in Latent Space. In N. Tsapatsoulis, E. Kyriacou, A. Lanitis, Z. Theodosiou, M. Pattichis, C. Pattichis, C. Kyrkou, & A. Panayides (Eds.), Computer Analysis of Images and Patterns: 20th International Conference, CAIP 2023, Limassol, Cyprus, September 25–28, 2023, Proceedings (pp. 201-211). (Lecture Notes in Computer Science; Vol. 14185). Springer. https://doi.org/10.1007/978-3-031-44240-7_20
Leyva-Vallina, M. , Strisciuglio, N., & Petkov, N. (2023). Data-efficient visual place recognition with graded similarity supervision. Paper presented at IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, British Columbia, Canada. https://openaccess.thecvf.com/content/CVPR2023/papers/Leyva-Vallina_Data-Efficient_Large_Scale_Place_Recognition_With_Graded_Similarity_Supervision_CVPR_2023_paper.pdf
Rivera-Arbeláez, J. M., Keekstra, D., Cofiño-Fabres, C., Boonen, T., Dostanic, M., ten Den, S. A., Vermeul, K., Mastrangeli, M. , van den Berg, A. , Segerink, L. I., Ribeiro, M. C. , Strisciuglio, N. , & Passier, R. (2023). Automated assessment of human engineered heart tissues using deep learning and template matching for segmentation and tracking. Bioengineering and Translational Medicine, 8(3), Article e10513. Advance online publication. https://doi.org/10.1002/btm2.10513
Greco, A. , Strisciuglio, N., Vento, M., & Vigilante, V. (2023). Benchmarking deep networks for facial emotion recognition in the wild. Multimedia tools and applications, 82(8), 11189-11220. Advance online publication. https://doi.org/10.1007/s11042-022-12790-7
Wang, S. , Veldhuis, R. , Brune, C. , & Strisciuglio, N. (2022). Frequency Shortcut Learning in Neural Networks. In NeurIPS 2022 Workshop on Distribution Shifts: Connecting Methods and Applications https://openreview.net/forum?id=zAfUHtSGWw
Strisciuglio, N., & Azzopardi, G. (2022). Visual response inhibition for increased robustness of convolutional networks to distribution shifts. Paper presented at 36th Annual Conference on Neural Information Processing Systems, NeurIPS 2022, New Orleans, Louisiana, United States. https://openreview.net/forum?id=enByqfq18t
Dummer, S. , Strisciuglio, N. , & Brune, C. (2022). Structure preserving implicit shape encoding via flow regularization. Abstract from Geometric Deep Learning in Medical Image Analysis, GeoMedIA 2022, Amsterdam, Netherlands. https://openreview.net/pdf?id=YcjlgyX_Ur1
Falcone, R., Ciaramella, A., Carrabs, F. , Strisciuglio, N., & Martinelli, E. (2022). Artificial neural network for technical feasibility prediction of seismic retrofitting in existing RC structures. Structures, 41, 1220-1234. Advance online publication. https://doi.org/10.1016/j.istruc.2022.05.008
Riego Del Castillo, V., Sánchez-González, L., Campazas-Vega, A. , & Strisciuglio, N. (2022). Vision-Based Module for Herding with a Sheepdog Robot. Sensors (Basel, Switzerland), 22(14), Article 5321. https://doi.org/10.3390/s22145321
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. Advance online publication. https://doi.org/10.1007/978-3-031-06430-2_52
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, Article 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

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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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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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