Foto del docente

Davide Maltoni

Full Professor

Department of Computer Science and Engineering

Academic discipline: ING-INF/05 Information Processing Systems

Publications

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

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]

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 [Scientific article]Open Access

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

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) [Contribution to conference proceedings]

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 [Scientific article]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) [Contribution to conference proceedings]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) [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 [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 - 18 [Scientific article]Open Access

Graffieti G.; Maltoni D., Artifact-free single image defogging, «ATMOSPHERE», 2021, 12, Article number: 577 , pp. 1 - 20 [Scientific article]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 [Scientific article]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: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2021), 2021, pp. 3595 - 3605 (atti di: IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2021, Virtual, 19-25 Giugno 2021) [Contribution to conference proceedings]Open Access

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]Open Access

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