Graph Compression Using The Regularity Method. - Francesco Pelosin (CoRR, 2018)

Unsupervised Semantic Discovery Through Visual Patterns Detection. - Francesco Pelosin; Andrea Gasparetto; Andrea Albarelli; Andrea Torsello (S+SSPR, 2020)

Separating Structure from Noise in Large Graphs Using the Regularity Lemma. - Marco Fiorucci; Francesco Pelosin; Marcello Pelillo (Pattern Recognit., 2020)

More Is Better: An Analysis of Instance Quantity/Quality Trade-off in Rehearsal-based Continual Learning. - Francesco Pelosin; Andrea Torsello (CoRR, 2021)

Towards Exemplar-Free Continual Learning in Vision Transformers: an Account of Attention, Functional and Weight Regularization. - Francesco Pelosin; Saurav Jha; Andrea Torsello; Bogdan Raducanu; Joost van de Weijer 001 (CVPR Workshops, 2022)

Smaller is Better: An Analysis of Instance Quantity/Quality Trade-off in Rehearsal-based Continual Learning. - Francesco Pelosin; Andrea Torsello (IJCNN, 2022)

Simpler is Better: off-the-shelf Continual Learning Through Pretrained Backbones. - Francesco Pelosin (CoRR, 2022)

Incremental Automatic Image Annotation. - Luigi Sabetta; Francesco Pelosin; Giulia Denevi; Alessandro Nicolosi (Ital-IA, 2023)

Dissecting Continual Learning a Structural and Data Analysis. - Francesco Pelosin (CoRR, 2023)

DUCK: Distance-based Unlearning via Centroid Kinematics. - Marco Cotogni; Jacopo Bonato; Luigi Sabetta; Francesco Pelosin; Alessandro Nicolosi (CoRR, 2023)

MIND: Multi-Task Incremental Network Distillation. - Jacopo Bonato; Francesco Pelosin; Luigi Sabetta; Alessandro Nicolosi (AAAI, 2024)

Dynamic Label Injection for Imbalanced Industrial Defect Segmentation. - Emanuele Caruso; Francesco Pelosin; Alessandro Simoni; Marco Boschetti (ECCV Workshops (4), 2024)

Bounding Box-Guided Diffusion for Synthesizing Industrial Images and Segmentation Map. - Alessandro Simoni; Francesco Pelosin (CoRR, 2025)