Vorabbi, Lorenzo; Maltoni, Davide; Santi, Stefano, On-Device Learning with Binary Neural Networks, in: Image Analysis and Processing - ICIAP 2023 Workshops. ICIAP 2023., Cham, Springer, «LECTURE NOTES IN COMPUTER SCIENCE», 2024, 14365, pp. 39 - 50 (atti di: Image Analysis and Processing - ICIAP 2023 Workshops. ICIAP 2023, Udine, 09/2023) [Contributo in Atti di convegno]Open Access
Di Domenico, N.; Borghi, G.; Franco, A.; Maltoni, D., ONOT: a High-Quality ICAO-compliant Synthetic Mugshot Dataset, in: 2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition, 345 E 47TH ST, NEW YORK, NY 10017 USA, IEEE, «IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE & GESTURE RECOGNITION AND WORKSHOPSIEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE & GESTURE RECOGNITION AND WORKSHOPS», 2024, pp. 1 - 10 (atti di: 2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition, Istanbul, Türkiye, 29/05/2024) [Contributo in Atti di convegno]Open Access
Vorabbi, L.; Maltoni, D.; Santi, S., Optimizing Data Flow in Binary Neural Networks, «SENSORS», 2024, 24, Article number: 4780, pp. 1 - 15 [articolo]
Scucchia, Matteo; Maltoni, Davide, Region Prediction for Efficient Robot Localization on Large Maps, in: Communications in Computer and Information Science, GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND, Springer Science and Business Media Deutschland GmbH, «COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE», 2024, 2077 CCIS, pp. 244 - 259 (atti di: 4th International Conference on Robotics, Computer Vision and Intelligent Systems, ROBOVIS 2024, ita, 2024) [Contributo in Atti di convegno]
Shahreza, Hatef Otroshi; Ecabert, Christophe; George, Anjith; Unnervik, Alexander; Marcel, Sébastien; Di Domenico, Nicolò; Borghi, Guido; Maltoni, Davide; Boutros, Fadi; Vogel, Julia; Damer, Naser; Sánchez-Pérez, Ángela; Mas-Candela, Enrique; Calvo-Zaragoza, Jorge; Biesseck, Bernardo; Vidal, Pedro; Granada, Roger; Menotti, David; DeAndres-Tame, Ivan; La Cava, Simone Maurizio; Concas, Sara; Melzi, Pietro; Tolosana, Ruben; Vera-Rodriguez, Ruben; Perelli, Gianpaolo; Orrù, Giulia; Marcialis, Gian Luca; Fierrez, Julian, SDFR: Synthetic Data for Face Recognition Competition, in: 2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition, FG 2024, 345 E 47TH ST, NEW YORK, NY 10017 USA, Institute of Electrical and Electronics Engineers Inc., 2024, pp. 1 - 9 (atti di: 18th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2024, Istanbul, Turkiye, 2024) [Contributo in Atti di convegno]
Dadi, Maichol; Franco, Annalisa; Maltoni, Davide, Supporting Human Examiners in Facial Image Manipulation Detection, in: 2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), New York, IEEE, 2024, pp. 710 - 715 (atti di: IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), St. Albans, United Kingdom, 22-24 Ottobre 2024) [Contributo in Atti di convegno]Open Access
Robledo-Moreno, Marta; Borghi, Guido; DI DOMENICO, Nicolò; Franco, Annalisa; Raja, Kiran; Maltoni, Davide, Towards Federated Learning for Morphing Attack Detection, in: Proceedings of 2024 IEEE International Joint Conference on Biometrics (IJCB), New York, IEEE, «IEEE INTERNATIONAL CONFERENCE ON BIOMETRICS, THEORY, APPLICATIONS AND SYSTEMS», 2024, pp. 1 - 10 (atti di: IEEE International Joint Conference on Biometrics (IJCB), Buffalo, NY, USA, 15-18 settembre 2024) [Contributo in Atti di convegno]Open Access
Borghi, Guido; Franco, Annalisa; di Domenico, Nicolò; Ferrara, Matteo; Maltoni, Davide, V-MAD: Video-based Morphing Attack Detection in Operational Scenarios, in: IEEE International Joint Conference on Biometrics (IJCB), 2024, pp. 1 - 10 (atti di: IEEE International Joint Conference on Biometrics (IJCB), Buffalo, NY, USA, 15-18 September 2024) [Contributo in Atti di convegno]
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) [Contributo in Atti di convegno]
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 [articolo]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 [capitolo di libro]
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, «LECTURE NOTES IN COMPUTER SCIENCE», 2023, 14233, pp. 100 - 111 (atti di: 22nd International Conference, ICIAP 2023, Udine, Italy, September 11-15, 2023) [Contributo in Atti di convegno]Open Access
Ferrara, M.; Cappelli, R.; Maltoni, D., Detecting Double-Identity Fingerprint Attacks, «IEEE TRANSACTIONS ON BIOMETRICS, BEHAVIOR, AND IDENTITY SCIENCE», 2023, 5, pp. 476 - 485 [articolo]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) [Contributo in Atti di convegno]
Graffieti, Gabriele; Maltoni, Davide; Pellegrini, Lorenzo; Lomonaco, Vincenzo, Generative negative replay for continual learning, «NEURAL NETWORKS», 2023, 162, pp. 369 - 383 [articolo]Open Access
