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
Vorabbi L.; Maltoni D.; Santi S., Input Layer Binarization with Bit-Plane Encoding, in: Artificial Neural Networks and Machine Learning – ICANN 2023, «LECTURE NOTES IN COMPUTER SCIENCE», 2023, 14261 LNCS, pp. 395 - 406 (atti di: ICANN 2023, Heraklion, 26/09/2023) [Contributo in Atti di convegno]Open Access
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), New York, IEEE, 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) [Contributo in Atti di convegno]Open Access
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 [articolo]Open Access
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]Open Access
Graffieti, G; Borghi, G; Maltoni, D, Continual Learning in Real-Life Applications, «IEEE ROBOTICS AND AUTOMATION LETTERS», 2022, 7, pp. 6195 - 6202 [articolo]Open Access
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]Open Access
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, Article number: 829842, pp. 1 - 6 [articolo]Open Access
Ferrara M.; Franco A.; Maltoni D.; Busch C., Morphing Attack Potential, in: International Workshop on Biometrics and Forensics (IWBF), New York, 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]Open Access
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
