MALTONI, DAVIDE
MALTONI, DAVIDE
DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA
Docenti di ruolo di Ia fascia
Einstein (Horizon Europe)
In corso di stampa Davide Maltoni
Arithmetic with language models: From memorization to computation
2024 Maltoni, Davide; Ferrara, Matteo
Enabling On-Device Continual Learning with Binary Neural Networks and Latent Replay
2024 Lorenzo Vorabbi, Davide Maltoni, Guido Borghi, Stefano Santi
Face Restoration for Morphed Images Retouching
2024 Di Domenico, Nicolò; Borghi, Guido; Franco, Annalisa; Maltoni, Davide
iMars (H2020)
2024 Davide Maltoni
On the Impact of Face Image Quality on Morphing Attack Detection
2024 Franco, Annalisa; Ferrara, Matteo; Liu, Chengcheng; Busch, Christoph; Maltoni, Davide
On-Device Learning with Binary Neural Networks
2024 Lorenzo Vorabbi, Davide Maltoni, Stefano Santi
V-MAD: Video-based Morphing Attack Detection in Operational Scenarios
2024 Borghi, Guido; Franco, Annalisa; di Domenico, Nicolò; Ferrara, Matteo; Maltoni, Davide
A Framework to Improve the Comparability and Reproducibility of Morphing Attack Detectors
2023 Di Domenico, Nicolò; Borghi, Guido; Franco, Annalisa; Ferrara, Matteo; Maltoni, Davide
A weakly supervised approach for recycling code recognition
2023 Pellegrini Lorenzo; Maltoni Davide; Graffieti Graffieti; Lomonaco Vincenzo; Mazzini Lisa; Mondardini Marco; Zappoli Milena
Architect, Regularize and Replay (ARR): a Flexible Hybrid Approach for Continual learning
2023 Vincenzo Lomonaco, Lorenzo Pellegrini, Gabriele Graffieti, Davide Maltoni
Combining Identity Features and Artifact Analysis for Differential Morphing Attack Detection
2023 Di Domenico, Nicolò; Borghi, Guido; Franco, Annalisa; Maltoni, Davide
Detecting Double-Identity Fingerprint Attacks
2023 Ferrara, M.; Cappelli, R.; Maltoni, D.
Detecting Morphing Attacks via Continual Incremental Training
2023 Lorenzo Pellegrini, Guido Borghi, Annalisa Franco, Davide Maltoni
Generative negative replay for continual learning
2023 Graffieti, Gabriele; Maltoni, Davide; Pellegrini, Lorenzo; Lomonaco, Vincenzo
Input Layer Binarization with Bit-Plane Encoding
2023 Vorabbi L.; Maltoni D.; Santi S.
On the Human Ability in Detecting Digitally Manipulated Face Images
2023 Franco Annalisa, Løvåsdal Frøy, Maltoni Davide
Revelio: A Modular and Effective Framework for Reproducible Training and Evaluation of Morphing Attack Detectors
2023 Borghi, Guido; Di Domenico, Nicolò; Franco, Annalisa; Ferrara, Matteo; Maltoni, Davide
Continual Learning in Real-Life Applications
2022 Graffieti, G; Borghi, G; Maltoni, D
CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions
2022 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
| Titolo | Autore(i) | Anno | Periodico | Editore | Tipo | File |
|---|---|---|---|---|---|---|
| Einstein (Horizon Europe) | Davide Maltoni | 9999-01-01 | - | - | 8.04 Coordinamento di progetti di ricerca | - |
| Arithmetic with language models: From memorization to computation | Maltoni, Davide; Ferrara, Matteo | 2024-01-01 | NEURAL NETWORKS | - | 1.01 Articolo in rivista | 1-s2.0-S089360802400474X-main.pdf |
| Enabling On-Device Continual Learning with Binary Neural Networks and Latent Replay | Lorenzo Vorabbi, Davide Maltoni, Guido Borghi, Stefano Santi | 2024-01-01 | - | - | 4.01 Contributo in Atti di convegno | 122690.pdf |
| Face Restoration for Morphed Images Retouching | Di Domenico, Nicolò; Borghi, Guido; Franco, Annalisa; Maltoni, Davide | 2024-01-01 | - | - | 4.01 Contributo in Atti di convegno | IWBF_2024.pdf |
| iMars (H2020) | Davide Maltoni | 2024-01-01 | - | - | 8.04 Coordinamento di progetti di ricerca | - |
| On the Impact of Face Image Quality on Morphing Attack Detection | Franco, Annalisa; Ferrara, Matteo; Liu, Chengcheng; Busch, Christoph; Maltoni, Davide | 2024-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| On-Device Learning with Binary Neural Networks | Lorenzo Vorabbi, Davide Maltoni, Stefano Santi | 2024-01-01 | - | Springer | 4.01 Contributo in Atti di convegno | On_device_learning_with_binary_neural_networks+-+camera+ready.pdf |
| V-MAD: Video-based Morphing Attack Detection in Operational Scenarios | Borghi, Guido; Franco, Annalisa; di Domenico, Nicolò; Ferrara, Matteo; Maltoni, Davide | 2024-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| A Framework to Improve the Comparability and Reproducibility of Morphing Attack Detectors | Di Domenico, Nicolò; Borghi, Guido; Franco, Annalisa; Ferrara, Matteo; Maltoni, Davide | 2023-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| A weakly supervised approach for recycling code recognition | Pellegrini Lorenzo; Maltoni Davide; Graffieti Graffieti; Lomonaco Vincenzo; Mazzini Lisa; Mondard...ini Marco; Zappoli Milena | 2023-01-01 | EXPERT SYSTEMS WITH APPLICATIONS | - | 1.01 Articolo in rivista | A_Weakly_Supervised_Approach_for_Recycling_Code_Recognition.pdf |
| Architect, Regularize and Replay (ARR): a Flexible Hybrid Approach for Continual learning | Vincenzo Lomonaco, Lorenzo Pellegrini, Gabriele Graffieti, Davide Maltoni | 2023-01-01 | - | World Scientific Publishing | 2.01 Capitolo / saggio in libro | - |
| Combining Identity Features and Artifact Analysis for Differential Morphing Attack Detection | Di Domenico, Nicolò; Borghi, Guido; Franco, Annalisa; Maltoni, Davide | 2023-01-01 | - | - | 4.01 Contributo in Atti di convegno | ICIAP+2023.pdf |
| Detecting Double-Identity Fingerprint Attacks | Ferrara, M.; Cappelli, R.; Maltoni, D. | 2023-01-01 | IEEE TRANSACTIONS ON BIOMETRICS, BEHAVIOR, AND IDENTITY SCIENCE | - | 1.01 Articolo in rivista | Detecting_Double-Identity_Fingerprint_Attacks.pdf |
| Detecting Morphing Attacks via Continual Incremental Training | Lorenzo Pellegrini, Guido Borghi, Annalisa Franco, Davide Maltoni | 2023-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| Generative negative replay for continual learning | Graffieti, Gabriele; Maltoni, Davide; Pellegrini, Lorenzo; Lomonaco, Vincenzo | 2023-01-01 | NEURAL NETWORKS | - | 1.01 Articolo in rivista | Generative_Negative_Replay__UniBo_IRIS_version.pdf |
| Input Layer Binarization with Bit-Plane Encoding | Vorabbi L.; Maltoni D.; Santi S. | 2023-01-01 | - | - | 4.01 Contributo in Atti di convegno | Input Layer Binarization with Bit-Plane Encoding.pdf |
| On the Human Ability in Detecting Digitally Manipulated Face Images | Franco Annalisa, Løvåsdal Frøy, Maltoni Davide | 2023-01-01 | - | IEEE | 4.01 Contributo in Atti di convegno | ManipulationDetection_Full_V4.pdf |
| Revelio: A Modular and Effective Framework for Reproducible Training and Evaluation of Morphing Attack Detectors | Borghi, Guido; Di Domenico, Nicolò; Franco, Annalisa; Ferrara, Matteo; Maltoni, Davide | 2023-01-01 | IEEE ACCESS | - | 1.01 Articolo in rivista | Revelio_A_Modular_and_Effective_Framework_for_Reproducible_Training_and_Evaluation_of_Morphing_Attack_Detectors.pdf |
| Continual Learning in Real-Life Applications | Graffieti, G; Borghi, G; Maltoni, D | 2022-01-01 | IEEE ROBOTICS AND AUTOMATION LETTERS | - | 1.01 Articolo in rivista | - |
| CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions | Vincenzo Lomonaco, Lorenzo Pellegrini, Pau Rodriguez, Massimo Caccia, Qi She, Yu Chen, Quentin Jo...delet, Ruiping Wang, Zheda Mai, David Vazquez, German I. Parisi, Nikhil Churamani, Marc Pickett, Issam Laradji, Davide Maltoni | 2022-01-01 | ARTIFICIAL INTELLIGENCE | - | 1.01 Articolo in rivista | clvision_challenge_report__accepted_version_iris_.pdf |