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
Raja, Kiran; Ferrara, Matteo; Franco, Annalisa; Spreeuwers, Luuk; Batskos, Ilias; De Wit, Florens; Gomez-Barrero, Marta; Scherhag, Ulrich; Fischer, Daniel; Venkatesh, Sushma; Singh, Jag Mohan; Li, Guoqiang; Bergeron, Loic; Isadskiy, Sergey; Ramachandra, Raghavendra; Rathgeb, Christian; Frings, Dinusha; Seidel, Uwe; Knopjes, Fons; Veldhuis, Raymond; Maltoni, Davide; Busch, Christoph, Morphing Attack Detection - Database, Evaluation Platform and Benchmarking, «IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY», 2021, 16, pp. 4336 - 4351 [Scientific article]Open Access
Ferrara M., Franco A., Maio Dario, Maltoni Davide, BioLab-ICAO-Check Tool, 2020. [Software]
Vincenzo Lomonaco, Karan Desai, Eugenio Culurciello, Davide Maltoni, Continual Reinforcement Learning in 3D Non-stationary Environments, in: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020, pp. 999 - 1008 (atti di: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Las Vegas, 14-19 June 2020) [Contribution to conference proceedings]Open Access
Lesort, Timothée; Lomonaco, Vincenzo; Stoian, Andrei; Maltoni, Davide; Filliat, David; Díaz-Rodríguez, Natalia, Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges, «INFORMATION FUSION», 2020, 58, pp. 52 - 68 [Scientific article]Open Access
Bae, H.; Brophy, E.; Chan, R. H. M.; Chen, B.; Feng, F.; Graffieti, G.; Goel, V.; Hao, X.; Han, H.; Kanagarajah, S.; Kumar, S.; Lam, S. -K.; Lam, T. L.; Lan, C.; Liu, Q.; Lomonaco, V.; Ma, L.; Maltoni, D.; Parisi, G. I.; Pellegrini, L.; Piyasena, D.; Pu, S.; She, Q.; Sheet, D.; Song, S.; Son, Y.; Wang, Z.; Ward, T. E.; Wu, J.; Wu, M.; Xie, D.; Xu, Y.; Yang, L.; Yang, Q.; Zhong, Q.; Zhou, L., IROS 2019 Lifelong Robotic Vision: Object Recognition Challenge, «IEEE ROBOTICS AND AUTOMATION MAGAZINE», 2020, 27, Article number: 9113359 , pp. 11 - 16 [Scientific article]
Pellegrini L.; Graffieti G.; Lomonaco V.; Maltoni D., Latent replay for real-time continual learning, in: IEEE International Conference on Intelligent Robots and Systems, Institute of Electrical and Electronics Engineers Inc., 2020, pp. 10203 - 10209 (atti di: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020, Las Vegas, USA, 2020) [Contribution to conference proceedings]
