dr. N. (Nicola) Strisciuglio

Post-doc researcher

dr. N. (Nicola) Strisciuglio
E-mail:
n.strisciuglio rug.nl

Research

  1. 2019
  2. Strisciuglio, N., & Petkov, N. (2019). Trainable COPE Features for Sound Event Detection. In I. Nyström, Y. Hernández Heredia, & V. Milián Núñez (Eds.), Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 24th Iberoamerican Congress, CIARP 2019, Proceedings (pp. 599-609). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11896 ). Springer. https://doi.org/10.1007/978-3-030-33904-3_56
  3. Foggia, P., Saggese, A., Strisciuglio, N., Vento, M., & Vigilante, V. (2019). Detecting Sounds of Interest in Roads with Deep Networks. In E. Ricci, N. Sebe, S. Rota Bulò, C. Snoek, O. Lanz, & S. Messelodi (Eds.), Image Analysis and Processing – ICIAP 2019 - 20th International Conference, Proceedings (pp. 583-592). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11752 ). Springer Verlag. https://doi.org/10.1007/978-3-030-30645-8_53
  4. Leyva-Vallina, M., Strisciuglio, N., & Petkov, N. (2019). Place Recognition in Gardens by Learning Visual Representations: Data Set and Benchmark Analysis. In M. Vento, & G. Percannella (Eds.), Computer Analysis of Images and Patterns - 18th International Conference, CAIP 2019, Proceedings (pp. 324-335). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11678 ). Springer Verlag. https://doi.org/10.1007/978-3-030-29888-3_26
  5. 2018
  6. Strisciuglio, N., Vallina, M. L., Petkov, N., & Salinas, R. M. (2018). Camera Localization in Outdoor Garden Environments Using Artificial Landmarks. In 2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018 - Proceedings [8464139] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWOBI.2018.8464139
  7. Strisciuglio, N., Tylecek, R., Petkov, N., Biber, P., Hemming, J., van Henten, E., ... Fisher, R. B. (2018). Trimbot2020: An outdoor robot for automatic gardening. In 50th International Symposium on Robotics, ISR 2018 VDE VERLAG GMBH.
  8. Buhagiar, J., Strisciuglio, N., Petkov, N., & Azzopardi, G. (2018). Automatic Segmentation of Indoor and Outdoor Scenes from Visual Lifelogging. Paper presented at Applications of Intelligent Systems 2018, Las Palmas de Gran Canaria, Spain.
  9. Strisciuglio, N., Azzopardi, G., & Petkov, N. (2018). Brain-inspired robust delineation operator. In European Conference of Computer Vision (ECCV) 2018: Workshop on Brain-inspired computer vision
  10. 2017
  11. Saggese, A., Strisciuglio, N., Vento, M., & Petkov, N. (2017). A real-time system for audio source localization with cheap sensor device. In 2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017 [8078461] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AVSS.2017.8078461
  12. Strisciuglio, N., & Petkov, N. (2017). Delineation of line patterns in images using B-COSFIRE filters. In C. M. Travieso-Gonzalez, F. Morgado-Dias, & J. B. Alonso-Hernandez (Eds.), 2017 International Work Conference on Bio-Inspired Intelligence: Intelligent Systems for Biodiversity Conservation, IWOBI 2017 - Proceedings [7985538] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWOBI.2017.7985538
  13. Strisciuglio, N., Azzopardi, G., & Petkov, N. (2017). Detection of curved lines with B-COSFIRE filters: A case study on crack delineation. In Computer Analysis of Images and Patterns - 17th International Conference, CAIP 2017, Proceedings (Vol. 10424 LNCS, pp. 108-120). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10424 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-64689-3_9
  14. Talavera Martínez, E., Strisciuglio, N., Petkov, N., & Radeva, P. (2017). Sentiment Recognition in Egocentric Photostreams. In L. A. Alexandre, J. Salvador Sanchez, & J. M. F. Rodrigues (Eds.), Pattern Recognition and Image Analysis: Proceedings ( Lecture Notes in Computer Science ; Vol. 10255). Springer. https://doi.org/10.1007/978-3-319-58838-4
  15. 2016
  16. Strisciuglio, N., Vento, M., & Petkov, N. (2016). Bio-Inspired Filters for Audio Analysis. In K. Amunts, L. Grandinetti, T. Lippert, & N. Petkov (Eds.), BrainComp 2015: Brain-Inspired Computing (pp. 101). ( Lecture Notes in Computer Science (LNCS); Vol. 10087). Springer. https://doi.org/10.1007/978-3-319-50862-7_8
  17. Strisciuglio, N., Azzopardi, G., Vento, M., & Petkov, N. (2016). Unsupervised delineation of the vessel tree in retinal fundus images. In Computational Vision and Medical Image Processing VIPIMAGE 2015 (pp. 149-155). Taylor & Francis Group.
  18. 2015
  19. Foggia, P., Petkov, N., Saggese, A., Strisciuglio, N., & Vento, M. (2015). Car crashes detection by audio analysis in crowded roads. In Advanced Video and Signal Based Surveillance (AVSS), 2015 12th IEEE International Conference on (pp. 1-6) https://doi.org/10.1109/AVSS.2015.7301731
  20. Strisciuglio, N., Azzopardi, G., Vento, M., & Petkov, N. (2015). Multiscale Blood Vessel Delineation Using B-COSFIRE Filters. In G. Azzopardi, & N. Petkov (Eds.), Computer Analysis of Images and Patterns (Vol. 9257, pp. 300-12). (Lecture Notes in Computer Science; Vol. 9257).
  21. 2014
  22. Azzopardi, G., Strisciuglio, N., Vento, M., & Petkov, N. (2014). Vessels delineation in retinal images using COSFIRE filters. In Netherlands Conference on Computer Vision, NCCV 2014 Ermelo, Netherlands.

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