A Lightweight Deep Learning Model for Vehicle Viewpoint Estimation from Dashcam Images. - Simone Magistri; Francesco Sambo; Fabio Schoen; Douglas Coimbra de Andrade; Matteo Simoncini; Stefano Caprasecca; Luca Kubin; Luca Bravi; Leonardo Taccari (ITSC, 2020)

Towards Continual Social Network Identification. - Simone Magistri; Daniele Baracchi; Dasara Shullani; Andrew D. Bagdanov; Alessandro Piva (IWBF, 2023)

Lightweight and Effective Convolutional Neural Networks for Vehicle Viewpoint Estimation From Monocular Images. - Simone Magistri; Marco Boschi; Francesco Sambo; Douglas Coimbra de Andrade; Matteo Simoncini; Luca Kubin; Leonardo Taccari; Luca De Luigi; Samuele Salti (IEEE Trans. Intell. Transp. Syst., 2023)

An Empirical Analysis of Forgetting in Pre-trained Models with Incremental Low-Rank Updates. - Albin Soutif; Simone Magistri; Joost van de Weijer 001; Andrew D. Bagdanov (CoLLAs, 2024)

Incremental and Decremental Continual Learning for Privacy-Preserving Video Recognition. - Lorenzo Caselli; Simone Magistri; Tommaso Bianconcini; Andrea Benericetti; Douglas Coimbra de Andrade; Andrew D. Bagdanov (ECCV Workshops (21), 2024)

How Green Is Continual Learning, Really? Analyzing the Energy Consumption in Continual Training of Vision Foundation Models. - Tomaso Trinci; Simone Magistri; Roberto Verdecchia; Andrew D. Bagdanov (ECCV Workshops (22), 2024)

Elastic Feature Consolidation For Cold Start Exemplar-Free Incremental Learning. - Simone Magistri; Tomaso Trinci; Albin Soutif-Cormerais; Joost van de Weijer 001; Andrew D. Bagdanov (ICLR, 2024)

An Empirical Analysis of Forgetting in Pre-trained Models with Incremental Low-Rank Updates. - Albin Soutif-Cormerais; Simone Magistri; Joost van de Weijer 001; Andrew D. Bagdanov (CoRR, 2024)

Covariances for Free: Exploiting Mean Distributions for Federated Learning with Pre-Trained Models. - Dipam Goswami; Simone Magistri; Kai Wang 060; Bartlomiej Twardowski; Andrew D. Bagdanov; Joost van de Weijer 001 (CoRR, 2024)

Continual learning for adaptive social network identification. - Simone Magistri; Daniele Baracchi; Dasara Shullani; Andrew D. Bagdanov; Alessandro Piva (Pattern Recognit. Lett., 2024)

No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces. - Daniel Marczak; Simone Magistri; Sebastian Cygert; Bartlomiej Twardowski; Andrew D. Bagdanov; Joost van de Weijer 001 (CoRR, 2025)

EFC++: Elastic Feature Consolidation with Prototype Re-balancing for Cold Start Exemplar-free Incremental Learning. - Simone Magistri; Tomaso Trinci; Albin Soutif-Cormerais; Joost van de Weijer 001; Andrew D. Bagdanov (CoRR, 2025)

A Bi-Objective Optimization Based Acquisition Strategy for Batch Bayesian Global Optimization. - Francesco Carciaghi; Simone Magistri; Pierluigi Mansueto; Fabio Schoen (Comput. Optim. Appl., 2025)