Improving the reliability of 3D people tracking system by means of deep-learning. - Matteo Boschini; Matteo Poggi; Stefano Mattoccia (IC3D, 2016)

Rethinking Experience Replay: a Bag of Tricks for Continual Learning. - Pietro Buzzega; Matteo Boschini; Angelo Porrello; Simone Calderara (ICPR, 2020)

Dark Experience for General Continual Learning: a Strong, Simple Baseline. - Pietro Buzzega; Matteo Boschini; Angelo Porrello; Davide Abati; Simone Calderara (NeurIPS, 2020)

Weakly Supervised Continual Learning. - Matteo Boschini; Pietro Buzzega; Lorenzo Bonicelli; Angelo Porrello; Simone Calderara (CoRR, 2021)

Transfer Without Forgetting. - Matteo Boschini; Lorenzo Bonicelli; Angelo Porrello; Giovanni Bellitto; Matteo Pennisi; Simone Palazzo; Concetto Spampinato; Simone Calderara (ECCV (23), 2022)

Effects of Auxiliary Knowledge on Continual Learning. - Giovanni Bellitto; Matteo Pennisi; Simone Palazzo; Lorenzo Bonicelli; Matteo Boschini; Simone Calderara (ICPR, 2022)

On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning. - Lorenzo Bonicelli; Matteo Boschini; Angelo Porrello; Concetto Spampinato; Simone Calderara (NeurIPS, 2022)

Effects of Auxiliary Knowledge on Continual Learning. - Giovanni Bellitto; Matteo Pennisi; Simone Palazzo; Lorenzo Bonicelli; Matteo Boschini; Simone Calderara; Concetto Spampinato (CoRR, 2022)

Continual semi-supervised learning through contrastive interpolation consistency. - Matteo Boschini; Pietro Buzzega; Lorenzo Bonicelli; Angelo Porrello; Simone Calderara (Pattern Recognit. Lett., 2022)

CaSpeR: Latent Spectral Regularization for Continual Learning. - Emanuele Frascaroli; Riccardo Benaglia; Matteo Boschini; Luca Moschella; Cosimo Fiorini; Emanuele Rodolà; Simone Calderara (CoRR, 2023)

On the Effectiveness of Equivariant Regularization for Robust Online Continual Learning. - Lorenzo Bonicelli; Matteo Boschini; Emanuele Frascaroli; Angelo Porrello; Matteo Pennisi; Giovanni Bellitto; Simone Palazzo; Concetto Spampinato; Simone Calderara (CoRR, 2023)

Class-Incremental Continual Learning Into the eXtended DER-Verse. - Matteo Boschini; Lorenzo Bonicelli; Pietro Buzzega; Angelo Porrello; Simone Calderara (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Semantic Residual Prompts for Continual Learning. - Martin Menabue; Emanuele Frascaroli; Matteo Boschini; Enver Sangineto; Lorenzo Bonicelli; Angelo Porrello; Simone Calderara (ECCV (61), 2024)

An Attention-Based Representation Distillation Baseline for Multi-label Continual Learning. - Martin Menabue; Emanuele Frascaroli; Matteo Boschini; Lorenzo Bonicelli; Angelo Porrello; Simone Calderara (LOD (1), 2024)

Saliency-driven Experience Replay for Continual Learning. - Giovanni Bellitto; Federica Proietto Salanitri; Matteo Pennisi; Matteo Boschini; Lorenzo Bonicelli; Angelo Porrello; Simone Calderara; Simone Palazzo; Concetto Spampinato (NeurIPS, 2024)

Selective Attention-based Modulation for Continual Learning. - Giovanni Bellitto; Federica Proietto Salanitri; Matteo Pennisi; Matteo Boschini; Angelo Porrello; Simone Calderara; Simone Palazzo; Concetto Spampinato (CoRR, 2024)

Latent spectral regularization for continual learning. - Emanuele Frascaroli; Riccardo Benaglia; Matteo Boschini; Luca Moschella; Cosimo Fiorini; Emanuele Rodolà; Simone Calderara (Pattern Recognit. Lett., 2024)