Fine-Grained Continual Learning. - Vincenzo Lomonaco; Davide Maltoni; Lorenzo Pellegrini (CoRR, 2019)

Rehearsal-Free Continual Learning over Small Non-I.I.D. Batches. - Vincenzo Lomonaco; Davide Maltoni; Lorenzo Pellegrini (CVPR Workshops, 2020)

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

Memory-Latency-Accuracy Trade-Offs for Continual Learning on a RISC-V Extreme-Edge Node. - Leonardo Ravaglia; Manuele Rusci; Alessandro Capotondi; Francesco Conti 001; Lorenzo Pellegrini; Vincenzo Lomonaco; Davide Maltoni; Luca Benini (SiPS, 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)

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)

CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions. - Vincenzo Lomonaco; Lorenzo Pellegrini; Pau Rodríguez; Massimo Caccia; Qi She; Yu Chen; Quentin Jodelet; Ruiping Wang 001; Zheda Mai; David Vázquez 001; German Ignacio Parisi; Nikhil Churamani; et al. (Artif. Intell., 2022)

3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding. - Lorenzo Pellegrini; Chenchen Zhu; Fanyi Xiao; Zhicheng Yan 001; Antonio Carta; Matthias De Lange; Vincenzo Lomonaco; Roshan Sumbaly; Pau Rodríguez; David Vázquez 001 (CoRR, 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)

Class-Incremental Learning with Repetition. - Hamed Hemati; Andrea Cossu; Antonio Carta; Julio Hurtado; Lorenzo Pellegrini; Davide Bacciu; Vincenzo Lomonaco; Damian Borth (CoLLAs, 2023)

Detecting Morphing Attacks via Continual Incremental Training. - Lorenzo Pellegrini; Guido Borghi; Annalisa Franco; Davide Maltoni (IJCB, 2023)

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

Avalanche: A PyTorch Library for Deep Continual Learning. - Antonio Carta; Lorenzo Pellegrini; Andrea Cossu; Hamed Hemati; Vincenzo Lomonaco (J. Mach. Learn. Res., 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)

FRCSyn Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data. - Pietro Melzi; Ruben Tolosana; Rubén Vera-Rodríguez; Minchul Kim; Christian Rathgeb; Xiaoming Liu 002; Ivan DeAndres-Tame; Aythami Morales; Julian Fiérrez; Javier Ortega-Garcia; Weisong Zhao; Xiangyu Zhu 001; et al. (WACV (Workshops), 2024)

Continual Learning by Three-Phase Consolidation. - Davide Maltoni; Lorenzo Pellegrini (CoRR, 2024)

FRCSyn-onGoing: Benchmarking and comprehensive evaluation of real and synthetic data to improve face recognition systems. - Pietro Melzi; Ruben Tolosana; Rubén Vera-Rodríguez; Minchul Kim; Christian Rathgeb; Xiaoming Liu 002; Ivan DeAndres-Tame; Aythami Morales; Julian Fiérrez; Javier Ortega-Garcia; Weisong Zhao; Xiangyu Zhu 001; et al. (Inf. Fusion, 2024)

Continual learning in the presence of repetition. - Hamed Hemati; Lorenzo Pellegrini; Xiaotian Duan; Zixuan Zhao; Fangfang Xia; Marc Masana; Benedikt Tscheschner; Eduardo E. Veas; Yuxiang Zheng; Shiji Zhao; Shao-Yuan Li; Sheng-Jun Huang; et al. (Neural Networks, 2025)

AI-GenBench: A New Ongoing Benchmark for AI-Generated Image Detection. - Lorenzo Pellegrini; Davide Cozzolino; Serafino Pandolfini; Davide Maltoni; Matteo Ferrara; Luisa Verdoliva; Marco Prati; Marco Ramilli (CoRR, 2025)