Foto del docente

Davide Maltoni

Full Professor

Department of Computer Science and Engineering

Academic discipline: ING-INF/05 Information Processing Systems

Publications

Coordination of a Research Project: Einstein (Horizon Europe).

Lorenzo Vorabbi, Davide Maltoni, Guido Borghi, Stefano Santi, Enabling On-Device Continual Learning with Binary Neural Networks and Latent Replay, in: Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISAPP, 2024, 2, pp. 25 - 36 (atti di: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISAPP, Rome, February 27-29, 2024) [Contribution to conference proceedings]Open Access

Di Domenico, Nicolò; Borghi, Guido; Franco, Annalisa; Maltoni, Davide, Face Restoration for Morphed Images Retouching, in: 12th International Workshop on Biometrics and Forensics (IWBF), 2024, pp. 1 - 6 (atti di: 12th International Workshop on Biometrics and Forensics (IWBF), University of Twente, 2024) [Contribution to conference proceedings]

Coordination of a Research Project: iMars (H2020).

Lorenzo Vorabbi, Davide Maltoni, Stefano Santi, On-Device Learning with Binary Neural Networks, in: Image Analysis and Processing - ICIAP 2023 Workshops. ICIAP 2023., Cham, Springer, 2024, 14365, pp. 39 - 50 (atti di: Image Analysis and Processing - ICIAP 2023 Workshops. ICIAP 2023, Udine, 09/2023) [Contribution to conference proceedings]

Di Domenico, Nicolò; Borghi, Guido; Franco, Annalisa; Ferrara, Matteo; Maltoni, Davide, A Framework to Improve the Comparability and Reproducibility of Morphing Attack Detectors, in: 2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), 2023, pp. 525 - 530 (atti di: IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), Milan, Italy, 2023) [Contribution to conference proceedings]

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, Article number: 119282 , pp. 1 - 11 [Scientific article]Open Access

Vincenzo Lomonaco, Lorenzo Pellegrini, Gabriele Graffieti, Davide Maltoni, Architect, Regularize and Replay (ARR): a Flexible Hybrid Approach for Continual learning, in: Towards Human Brain Inspired Lifelong Learning, Singapore, World Scientific Publishing, 2023, pp. 0 - 14 [Chapter or essay]

Di Domenico, Nicolò; Borghi, Guido; Franco, Annalisa; Maltoni, Davide, Combining Identity Features and Artifact Analysis for Differential Morphing Attack Detection, in: Image Analysis and Processing – ICIAP 2023, 2023, 14233, pp. 100 - 111 (atti di: 22nd International Conference, ICIAP 2023, Udine, Italy, September 11-15, 2023) [Contribution to conference proceedings]

Ferrara, M.; Cappelli, R.; Maltoni, D., Detecting Double-Identity Fingerprint Attacks, «IEEE TRANSACTIONS ON BIOMETRICS, BEHAVIOR, AND IDENTITY SCIENCE», 2023, 0, pp. 1 - 10 [Scientific article]Open Access

Lorenzo Pellegrini, Guido Borghi, Annalisa Franco, Davide Maltoni, Detecting Morphing Attacks via Continual Incremental Training, in: Proceedings of 2023 IEEE International Joint Conference on Biometrics, 2023, pp. 0 - 9 (atti di: 2023 IEEE International Joint Conference on Biometrics, Ljubiana, 25/09/2023) [Contribution to conference proceedings]

Graffieti, Gabriele; Maltoni, Davide; Pellegrini, Lorenzo; Lomonaco, Vincenzo, Generative negative replay for continual learning, «NEURAL NETWORKS», 2023, 162, pp. 369 - 383 [Scientific article]Open Access

Vorabbi L.; Maltoni D.; Santi S., Input Layer Binarization with Bit-Plane Encoding, in: Artificial Neural Networks and Machine Learning – ICANN 2023, 2023, 14261 LNCS, pp. 395 - 406 (atti di: ICANN 2023, Heraklion, 26/09/2023) [Contribution to conference proceedings]

Franco Annalisa, Løvåsdal Frøy, Maltoni Davide, On the Human Ability in Detecting Digitally Manipulated Face Images, in: 2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), 2023, pp. 531 - 536 (atti di: IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), Milano - Italy, 25-27/10/2023) [Contribution to conference proceedings]

Borghi, Guido; Di Domenico, Nicolò; Franco, Annalisa; Ferrara, Matteo; Maltoni, Davide, Revelio: A Modular and Effective Framework for Reproducible Training and Evaluation of Morphing Attack Detectors, «IEEE ACCESS», 2023, 11, pp. 120419 - 120437 [Scientific article]Open Access

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