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Davide Maltoni

Professore ordinario

Dipartimento di Informatica - Scienza e Ingegneria

Settore scientifico disciplinare: ING-INF/05 SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI

Pubblicazioni

Pellegrini Lorenzo; Maltoni Davide; Graffieti Graffieti; Lomonaco Vincenzo; Mazzini Lisa; Mondardini Marco; Zappoli Milena, A weakly supervised approach for recycling code recognition, «EXPERT SYSTEMS WITH APPLICATIONS», 2023, 215, pp. 119282 - 119292 [articolo]

Graffieti, G; Borghi, G; Maltoni, D, Continual Learning in Real-Life Applications, «IEEE ROBOTICS AND AUTOMATION LETTERS», 2022, 7, pp. 6195 - 6202 [articolo]

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 [articolo]

Franco A.; Magnani A.; Maltoni D.; Maio D.; Odorisio L.; De Maria A., Face Image Quality Assessment in Electronic ID Documents, «IEEE ACCESS», 2022, 10, pp. 77744 - 77758 [articolo]

Maltoni, Davide; Maio, Dario; Jain, Anil K.; Feng, Jianjiang, Handbook of Fingerprint Recognition - 3rd Edition, Cham, Springer Nature, 2022, pp. 522 . [libro]

Borghi, Guido; Graffieti, Gabriele; Franco, Annalisa; Maltoni, Davide, Incremental Training of Face Morphing Detectors, in: Proceedings of the 26th International Conference on Pattern Recognition (ICPR), 2022, pp. 914 - 921 (atti di: 26th International Conference on Pattern Recognition (ICPR), Montreal (Canada), 21-25 August 2022) [Contributo in Atti di convegno]

Cossu Andrea, Graffieti Gabriele, Pellegrini Lorenzo, Maltoni Davide, Bacciu Davide, Carta Antonio, Lomonaco Vincenzo, Is Class-Incremental Enough for Continual Learning?, «FRONTIERS IN ARTIFICIAL INTELLIGENCE», 2022, 5, pp. 1 - 6 [articolo]

Ferrara M.; Franco A.; Maltoni D.; Busch C., Morphing Attack Potential, in: International Workshop on Biometrics and Forensics (IWBF), 345 E 47TH ST, NEW YORK, NY 10017 USA, IEEE, 2022, pp. 1 - 6 (atti di: International Workshop on Biometrics and Forensics (IWBF), Salzburg, Austria, 20-21 April 2022) [Contributo in Atti di convegno]

Lorenzo Vorabbi - Davide Maltoni - Stefano Santi, Optimizing data-flow in binary Neural Networks, in: TinyML, 2022(atti di: TinyML EMEA 2022, Cyprus, 10/10/2022) [atti di convegno-poster]

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 [articolo]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 - 18 [articolo]Open Access

Graffieti G.; Maltoni D., Artifact-free single image defogging, «ATMOSPHERE», 2021, 12, Article number: 577, pp. 1 - 20 [articolo]Open Access

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

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) [Contributo in Atti di convegno]

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) [Contributo in Atti di convegno]

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