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ORCIDFrancesco Pelosin
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2020 – today
- 2026
[j2]Emanuele Caruso
, Francesco Pelosin, Alessandro Simoni, Oswald Lanz:
Bounding Box-Guided Diffusion for Synthesizing Industrial Images and Segmentation Maps. J. Imaging 12(3) (2026)- [i12]Sebastian Cavada, Francesco Pelosin, Lapo Faggi:
Training-Free Fine-Grained Semantic Segmentations in Low Data Regimes: A FungiTastic Baseline. CoRR abs/2605.22492 (2026) - 2025
- [i11]Alessandro Simoni, Francesco Pelosin:
Bounding Box-Guided Diffusion for Synthesizing Industrial Images and Segmentation Map. CoRR abs/2505.03623 (2025) - 2024
- [c6]Jacopo Bonato, Francesco Pelosin, Luigi Sabetta, Alessandro Nicolosi:
MIND: Multi-Task Incremental Network Distillation. AAAI 2024: 11105-11113 - [c5]Emanuele Caruso, Francesco Pelosin, Alessandro Simoni, Marco Boschetti:
Dynamic Label Injection for Imbalanced Industrial Defect Segmentation. ECCV Workshops (4) 2024: 50-64 - [i10]Emanuele Caruso, Francesco Pelosin, Alessandro Simoni, Marco Boschetti:
Dynamic Label Injection for Imbalanced Industrial Defect Segmentation. CoRR abs/2408.10031 (2024) - 2023
- [c4]Luigi Sabetta, Francesco Pelosin, Giulia Denevi, Alessandro Nicolosi:
Incremental Automatic Image Annotation. Ital-IA 2023: 72-77 - [i9]Francesco Pelosin:
Dissecting Continual Learning a Structural and Data Analysis. CoRR abs/2301.01033 (2023) - [i8]Marco Cotogni, Jacopo Bonato, Luigi Sabetta, Francesco Pelosin, Alessandro Nicolosi:
DUCK: Distance-based Unlearning via Centroid Kinematics. CoRR abs/2312.02052 (2023) - [i7]Jacopo Bonato, Francesco Pelosin, Luigi Sabetta, Alessandro Nicolosi:
MIND: Multi-Task Incremental Network Distillation. CoRR abs/2312.02916 (2023) - 2022
- [c3]Francesco Pelosin, Saurav Jha, Andrea Torsello, Bogdan Raducanu, Joost van de Weijer:
Towards Exemplar-Free Continual Learning in Vision Transformers: an Account of Attention, Functional and Weight Regularization. CVPR Workshops 2022: 3819-3828 - [c2]Francesco Pelosin, Andrea Torsello:
Smaller is Better: An Analysis of Instance Quantity/Quality Trade-off in Rehearsal-based Continual Learning. IJCNN 2022: 1-8 - [i6]Francesco Pelosin, Saurav Jha, Andrea Torsello, Bogdan Raducanu, Joost van de Weijer:
Towards Exemplar-Free Continual Learning in Vision Transformers: an Account of Attention, Functional and Weight Regularization. CoRR abs/2203.13167 (2022) - [i5]Francesco Pelosin:
Simpler is Better: off-the-shelf Continual Learning Through Pretrained Backbones. CoRR abs/2205.01586 (2022) - 2021
- [i4]Francesco Pelosin, Andrea Gasparetto, Andrea Albarelli, Andrea Torsello:
Unsupervised semantic discovery through visual patterns detection. CoRR abs/2102.12213 (2021) - [i3]Francesco Pelosin, Andrea Torsello:
More Is Better: An Analysis of Instance Quantity/Quality Trade-off in Rehearsal-based Continual Learning. CoRR abs/2105.14106 (2021) - 2020
- [j1]Marco Fiorucci, Francesco Pelosin, Marcello Pelillo:
Separating Structure from Noise in Large Graphs Using the Regularity Lemma. Pattern Recognit. 98 (2020) - [c1]Francesco Pelosin, Andrea Gasparetto, Andrea Albarelli, Andrea Torsello:
Unsupervised Semantic Discovery Through Visual Patterns Detection. S+SSPR 2020: 272-281
2010 – 2019
- 2019
- [i2]Marco Fiorucci, Francesco Pelosin, Marcello Pelillo:
Separating Structure from Noise in Large Graphs Using the Regularity Lemma. CoRR abs/1905.06917 (2019) - 2018
- [i1]Francesco Pelosin:
Graph Compression Using The Regularity Method. CoRR abs/1810.07275 (2018)
Coauthor Index
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