Towards Artifacts-Free Image Defogging. - Gabriele Graffieti; Davide Maltoni (ICPR, 2020)

Latent Replay for Real-Time Continual Learning. - Lorenzo Pellegrini; Gabriele Graffieti; Vincenzo Lomonaco; Davide Maltoni (IROS, 2020)

IROS 2019 Lifelong Robotic Vision Challenge - Lifelong Object Recognition Report. - Qi She; Fan Feng; Qi Liu 042; Rosa H. M. Chan; Xinyue Hao; Chuanlin Lan; Qihan Yang; Vincenzo Lomonaco; German Ignacio Parisi; Heechul Bae; Eoin Brophy; Baoquan Chen; et al. (CoRR, 2020)

IROS 2019 Lifelong Robotic Vision: Object Recognition Challenge [Competitions]. - Heechul Bae; Eoin Brophy; Rosa H. M. Chan; Baoquan Chen; Fan Feng; Gabriele Graffieti; Vidit Goel; Xinyue Hao; Hyonyoung Han; Sathursan Kanagarajah; Somesh Kumar; Siew-Kei Lam; et al. (IEEE Robotics Autom. Mag., 2020)

Avalanche: An End-to-End Library for Continual Learning. - 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; et al. (CVPR Workshops, 2021)

Continual Learning at the Edge: Real-Time Training on Smartphone Devices. - Lorenzo Pellegrini; Vincenzo Lomonaco; Gabriele Graffieti; Davide Maltoni (ESANN, 2021)

Automated Artifact Retouching in Morphed Images With Attention Maps. - Guido Borghi; Annalisa Franco; Gabriele Graffieti; Davide Maltoni (IEEE Access, 2021)

Avalanche: an End-to-End Library for Continual Learning. - 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; et al. (CoRR, 2021)

Incremental Training of Face Morphing Detectors. - Guido Borghi; Gabriele Graffieti; Annalisa Franco; Davide Maltoni (ICPR, 2022)

Is Class-Incremental Enough for Continual Learning? - Andrea Cossu; Gabriele Graffieti; Lorenzo Pellegrini; Davide Maltoni; Davide Bacciu; Antonio Carta; Vincenzo Lomonaco (Frontiers Artif. Intell., 2022)

Continual Learning in Real-Life Applications. - Gabriele Graffieti; Guido Borghi; Davide Maltoni (IEEE Robotics Autom. Lett., 2022)

Architect, Regularize and Replay (ARR): a Flexible Hybrid Approach for Continual Learning. - Vincenzo Lomonaco; Lorenzo Pellegrini; Gabriele Graffieti; Davide Maltoni (CoRR, 2023)

On the challenges to learn from Natural Data Streams. - Guido Borghi; Gabriele Graffieti; Davide Maltoni (CoRR, 2023)

A weakly supervised approach for recycling code recognition. - Lorenzo Pellegrini; Davide Maltoni; Gabriele Graffieti; Vincenzo Lomonaco; Lisa Mazzini; Marco Mondardini; Milena Zappoli (Expert Syst. Appl., 2023)

Generative negative replay for continual learning. - Gabriele Graffieti; Davide Maltoni; Lorenzo Pellegrini; Vincenzo Lomonaco (Neural Networks, 2023)