Publications

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Preview for Bounding Box-Guided Diffusion for Synthesizing Industrial Images and Segmentation Maps

Bounding Box-Guided Diffusion for Synthesizing Industrial Images and Segmentation Maps

Alessandro Simoni*, Francesco Pelosin*

Synthetic Data for Computer Vision Workshop (CVPR 2025)

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Preview for Dynamic Label Injection for Imbalanced Industrial Defect Segmentation

Dynamic Label Injection for Imbalanced Industrial Defect Segmentation

Emanuele Caruso*, Francesco Pelosin*, Alessandro Simoni*, Marco Boschetti

VISION Workshop (ECCV 2024)

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Preview for DUCK: Distance-based Unlearning via Centroid Kinematics

DUCK: Distance-based Unlearning via Centroid Kinematics

Marco Cotogni*, Jacopo Bonato*, Luigi Sabetta*, Francesco Pelosin, Alessandro Nicolosi

Under Revision

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Preview for MIND: Multi-Task Incremental Network Distillation

MIND: Multi-Task Incremental Network Distillation

Jacopo Bonato*, Francesco Pelosin*, Luigi Sabetta*, Alessandro Nicolosi

AAAI (2024) Oral

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Preview for Simpler Is Better: off-the-shelf Continual Learning Through Pretrained Backbones

Simpler Is Better: off-the-shelf Continual Learning Through Pretrained Backbones

Francesco Pelosin

Workshop T4V (CVPR 2022)

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Preview for Towards Exemplar-Free Continual Learning in Vision Transformers: an Account of Attention, Functional and Weight Regularization

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

Workshop CLVISION (CVPR 2022) Runner-Up Best Paper Award

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Preview for Smaller is Better: An Analysis of Instance Quantity/Quality Trade-off in Rehearsal-based Continual Learning

Smaller is Better: An Analysis of Instance Quantity/Quality Trade-off in Rehearsal-based Continual Learning

Francesco Pelosin, Andrea Torsello

IJCNN (2022)

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Preview for Unsupervised semantic discovery through visual patterns detection

Unsupervised semantic discovery through visual patterns detection

Francesco Pelosin, Andrea Gasparetto, Andrea Albarelli, Andrea Torsello

S+SSPR (2022)

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Preview for Separating Structure from Noise in Large Graphs Using the Regularity Lemma

Separating Structure from Noise in Large Graphs Using the Regularity Lemma

Marco Fiorucci, Francesco Pelosin, Marcello Pelillo

Pattern Recognition (2020)

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Preview for Graph Compression Using The Regularity Method

Graph Compression Using The Regularity Method

Francesco Pelosin

arXiv (2019), M.Sc. Thesis

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