Foto del docente

Davide Maltoni

Full Professor

Department of Computer Science and Engineering

Academic discipline: ING-INF/05 Information Processing Systems

Publications

Borghi, Guido; Pancisi, Emanuele; Ferrara, Matteo; Maltoni, Davide, A Double Siamese Framework for Differential Morphing Attack Detection, «SENSORS», 2021, 21, 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, pp. 1 - 15 [Scientific article]

Graffieti G.; Maltoni D., Artifact-free single image defogging, «ATMOSPHERE», 2021, 12, pp. 1 - 20 [Scientific article]

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: Proceedings of the 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2021), 2021, pp. 3595 - 3605 (atti di: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Virtual, 19-25 Giugno 2021) [Contribution to conference proceedings]

Gabriele Graffieti; Davide Maltoni, Towards Artifacts-free Image Defogging, in: Proceedings of the 25th International Conference on Pattern Recognition (ICPR), 2021, pp. 5060 - 5067 (atti di: International Conference on Pattern Recognition (ICPR), Milano, 10-15 Gennaio 2021) [Contribution to conference proceedings]

Ferrara M., Franco A., Maio Dario, Maltoni Davide, BioLab-ICAO-Check Tool, 2020. [Software]

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]

Vincenzo Lomonaco, Karan Desai, Eugenio Culurciello, Davide Maltoni, Continual Reinforcement Learning in 3D Non-stationary Environments, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2020, pp. 248 - 249 (atti di: Continual Learning Workshop at CVPR 2020, Las Vegas, 14-06-2020) [Contribution to conference proceedings]

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, 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]

Ravaglia L.; Rusci M.; Capotondi A.; Conti F.; Pellegrini L.; Lomonaco V.; Maltoni D.; Benini L., Memory-Latency-Accuracy Trade-Offs for Continual Learning on a RISC-V Extreme-Edge Node, in: IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation, Institute of Electrical and Electronics Engineers Inc., 2020, 2020-, pp. 1 - 6 (atti di: 34th IEEE Workshop on Signal Processing Systems, SiPS 2020, prt, 2020) [Contribution to conference proceedings]

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», 2020, 16, pp. 4336 - 4351 [Scientific article]Open Access

Vincenzo Lomonaco, Davide Maltoni, Lorenzo Pellegrini, Rehearsal-Free Continual Learning over Small Non-IID Batches, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2020, pp. 1 - 10 (atti di: Continual Learning Workshop at CVPR 2020, Las Vegas, 14-06-2020) [Contribution to conference proceedings]

Vincenzo Lomonaco; Lorenzo Pellegrini; Davide Maltoni, Apprendimento Automatico Continuo per la Robotica e la Visione Artificiale, in: Ital-IA: Convegno Nazionale CINI sull'Intelligenza Artificiale, 2019, pp. 1 - 3 (atti di: Ital-IA: Convegno Nazionale CINI sull'Intelligenza Artificiale, Roma, 18-03-2019) [Contribution to conference proceedings]

Timothée Lesort; Vincenzo Lomonaco; Andrei Stoian; Davide Maltoni; David Filliat; Natalia Díaz-Rodríguez, Continual Learning for Robotics: Definition, Framework, Learning, Strategies, Opportunities and Challenges, 2019, pp. 35 . [Technical report]

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