Foto del docente

Davide Maltoni

Full Professor

Department of Computer Science and Engineering

Academic discipline: ING-INF/05 Information Processing Systems


Vincenzo Lomonaco, Lorenzo Pellegrini, Pau Rodriguez, Massimo Caccia, Qi She, Yu Chen, Quentin Jodelet, Ruiping Wang, Zheda Mai, David Vazquez, German I. Parisi, Nikhil Churamani, Marc Pickett, Issam Laradji, Davide Maltoni, CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions, «ARTIFICIAL INTELLIGENCE», 2022, 303, Article number: 103635 , pp. 1 - 14 [Scientific article]

Borghi, Guido; Pancisi, Emanuele; Ferrara, Matteo; Maltoni, Davide, A Double Siamese Framework for Differential Morphing Attack Detection, «SENSORS», 2021, 21, Article number: 3466 , pp. 1 - 16 [Scientific article]Open Access

Stefano Pini; Guido Borghi; Roberto Vezzani; Davide Maltoni; Rita Cucchiara, A Systematic Comparison of Depth Map Representations for Face Recognition, «SENSORS», 2021, 21, Article number: 944 , pp. 1 - 15 [Scientific article]

Graffieti G.; Maltoni D., Artifact-free single image defogging, «ATMOSPHERE», 2021, 12, Article number: 577 , 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]

Ferrara, Matteo; Franco, Annalisa; Maltoni, Davide, Face morphing detection in the presence of printing/scanning and heterogeneous image sources, «IET BIOMETRICS», 2021, 10, pp. 290 - 303 [Scientific article]

Raja, Kiran; Ferrara, Matteo; Franco, Annalisa; Spreeuwers, Luuk; Batskos, Ilias; De Wit, Florens; Gomez-Barrero, Marta; Scherhag, Ulrich; Fischer, Daniel; Venkatesh, Sushma; Singh, Jag Mohan; Li, Guoqiang; Bergeron, Loic; Isadskiy, Sergey; Ramachandra, Raghavendra; Rathgeb, Christian; Frings, Dinusha; Seidel, Uwe; Knopjes, Fons; Veldhuis, Raymond; Maltoni, Davide; Busch, Christoph, Morphing Attack Detection - Database, Evaluation Platform and Benchmarking, «IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY», 2021, 16, pp. 4336 - 4351 [Scientific article]Open Access

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]

Ferrara M., Franco A., Maio Dario, Maltoni Davide, BioLab-ICAO-Check Tool, 2020. [Software]

Lesort, Timothée; Lomonaco, Vincenzo; Stoian, Andrei; Maltoni, Davide; Filliat, David; Díaz-Rodríguez, Natalia, Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges, «INFORMATION FUSION», 2020, 58, pp. 52 - 68 [Scientific article]

Vincenzo Lomonaco, Karan Desai, Eugenio Culurciello, Davide Maltoni, Continual Reinforcement Learning in 3D Non-stationary Environments, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2020, pp. 248 - 249 (atti di: Continual Learning Workshop at CVPR 2020, Las Vegas, 14-06-2020) [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, Article number: 9113359 , 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]

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