Foto del docente

Gabriele Graffieti

PhD Student

Department of Computer Science and Engineering

Teaching tutor

Department of Computer Science and Engineering

Publications

Graffieti G.; Maltoni D., Artifact-free single image defogging, «ATMOSPHERE», 2021, 12, pp. 1 - 20 [Scientific article]

Borghi G.; Franco A.; Graffieti G.; Maltoni D., Automated Artifact Retouching in Morphed Images with Attention Maps, «IEEE ACCESS», 2021, 9, pp. 136561 - 136579 [Scientific article]

Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German I. Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Ahmad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni, Avalanche: an End-to-End Library for Continual Learning, in: Proceedings of the 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2021), 2021, pp. 3595 - 3605 (atti di: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Virtual, 19-25 Giugno 2021) [Contribution to conference proceedings]

Lorenzo Pellegrini, Vincenzo Lomonaco, Gabriele Graffieti, Davide Maltoni, Continual Learning at the Edge: Real-Time Training on Smartphone Devices, in: ESANN 2021 Proceedings, 2021, pp. 23 - 28 (atti di: 29th European Symposium on Artificial Neural Networks (ESANN), 2021, Bruges, Belgium, 6-8 October 2021) [Contribution to conference proceedings]

Gabriele Graffieti; Davide Maltoni, Towards Artifacts-free Image Defogging, in: Proceedings of the 25th International Conference on Pattern Recognition (ICPR), 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA, Institute of Electrical and Electronics Engineers Inc., 2021, pp. 5060 - 5067 (atti di: 25th International Conference on Pattern Recognition, ICPR 2020, Milano, 10-15 Gennaio 2021) [Contribution to conference proceedings]

Bae H.; Brophy E.; Chan R.H.M.; Chen B.; Feng F.; Graffieti G.; Goel V.; Hao X.; Han H.; Kanagarajah S.; Kumar S.; Lam S.-K.; Lam T.L.; Lan C.; Liu Q.; Lomonaco V.; Ma L.; Maltoni D.; Parisi G.I.; Pellegrini L.; Piyasena D.; Pu S.; She Q.; Sheet D.; Song S.; Son Y.; Wang Z.; Ward T.E.; Wu J.; Wu M.; Xie D.; Xu Y.; Yang L.; Yang Q.; Zhong Q.; Zhou L., IROS 2019 Lifelong Robotic Vision: Object Recognition Challenge, «IEEE ROBOTICS AND AUTOMATION MAGAZINE», 2020, 27, pp. 11 - 16 [Scientific article]

Pellegrini L.; Graffieti G.; Lomonaco V.; Maltoni D., Latent replay for real-time continual learning, in: IEEE International Conference on Intelligent Robots and Systems, Institute of Electrical and Electronics Engineers Inc., 2020, pp. 10203 - 10209 (atti di: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020, Las Vegas, USA, 2020) [Contribution to conference proceedings]

Lorenzo Pellegrini; Gabriele Graffieti; Vincenzo Lomonaco; Davide Maltoni, Latent Replay for Real-Time Continual Learning, 2019, pp. 12 . [Technical report]

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