PhD Student of Smart Computing at Dipartimento di Ingegneria dell’Informazione,
Università degli Studi di Firenze.

My research interests include Machine Learning, Deep Learning and Computer Vision. Currently, I am working on Continual Learning solutions for deep neural networks. 

 

Publications

  1. S. Magistri, F. Sambo, F. Schoen, D.C. Andrade, M. Simoncini, S. Caprasecca, L. Kubin, L. Bravi
    and L. Taccari, “A Lightweight Deep Learning Model for Vehicle Viewpoint Estimation from
    Dashcam Images” 2020 23rd International Conference on Intelligent Transportation Systems
    (ITSC), 2020.   DOI: https://doi.org/10.1109/ITSC45102.2020.9294672
  2. S. Magistri, M.Boschi, F. Sambo, D.C. Andrade, M. Simoncini, L. Kubin, L. Taccari, L.  Luigi, S. Salti “Lightweight and Effective Convolutional Neural Networks for Vehicle Viewpoint Estimation From Monocular Images,” in IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 1, pp. 191-200, Jan. 2023, https://doi.org/doi: 10.1109/TITS.2022.3216359 
  3. S. Magistri, D. Baracchi, D. Shullani, A. D. Bagdanov and A. Piva, “Towards Continual Social Network Identification,” 2023 11th International Workshop on Biometrics and Forensics (IWBF), Barcelona, Spain, 2023, pp. 1-6, https://doi.org/doi: 10.1109/IWBF57495.2023.10157835
  4. Magistri, S., Baracchi, D., Shullani, D., Bagdanov, A. D., & Piva, A. (2024). Continual learning for adaptive social network identification. Pattern Recognition Letters, 180, 82–89. https://doi.org/doi:10.1016/j.patrec.2024.02.020
  5. S. Magistri, T. Trinci, A. Soutif, J. van de Weijer, A.D. Bagdanov, Elastic feature consolidation for cold start exemplar-free incremental learning, in: The Twelfth International Conference on Learning Representations, 2024, https://openreview.net/forum?id=7D9X2cFnt1

My  ORCID number:  0000-0002-0520-8463

Contacts

Via di Santa Marta, 3 – 50139 Firenze FI (Italy)

E-mail: simone.magistri@unifi.it, simone.magistri08@gmail.com

 

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