Hi! I am Francesco, a computer vision researcher/engineer from Bassano del Grappa (north-east Italy)!
tldr;
I got a Ph.D. (July 2022) from Ca' Foscari University of Venice, where I focused on Continual Learning for Computer Vision. I like building practical tools, shipping research prototypes, and turning papers into working systems!
Interests
├─ 🧠 Continual Learning
├─ 🧩 Semantic Segmentation
├─ 🎨 Diffusion Models
├─ 🏭 Industrial Vision
└─ ⚙️ ML Engineering
If you need to contact me, email me at pelosinf[at]gmail.
Timeline #
2018
M.Sc. in Computer Science (Data Management & Analytics)
Ca' Foscari University · Venice, Italy
2018–2022
Ph.D. in Artificial Intelligence
Ca' Foscari University · Venice, Italy · Advisor: Prof. Andrea Torsello
9 months
Visiting Researcher (LAMP group)
Computer Vision Center (CVC) · Barcelona, Spain · PI: Joost Van De Weijer
2022–2023
AI Research Fellow
Leonardo s.p.a. · Rome, Italy
2023–now
Computer Vision / Machine Learning Engineer
Covision Lab · Brixen (South Tyrol), Italy
Projects
PodXiv - AI-Powered Academic Podcast Generator
Transform arXiv papers into engaging podcast conversations with AI-generated virtual hosts.
Publications
Bounding Box-Guided Diffusion for Synthesizing Industrial Images and Segmentation Maps
Alessandro Simoni*, Francesco Pelosin*
Synthetic Data for Computer Vision Workshop (CVPR 2025)
Dynamic Label Injection for Imbalanced Industrial Defect Segmentation
Emanuele Caruso*, Francesco Pelosin*, Alessandro Simoni*, Marco Boschetti
VISION Workshop (ECCV 2024)
DUCK: Distance-based Unlearning via Centroid Kinematics
Marco Cotogni*, Jacopo Bonato*, Luigi Sabetta*, Francesco Pelosin, Alessandro Nicolosi
Under Revision
MIND: Multi-Task Incremental Network Distillation
Jacopo Bonato*, Francesco Pelosin*, Luigi Sabetta*, Alessandro Nicolosi
AAAI (2024)
Oral
Simpler Is Better: off-the-shelf Continual Learning Through Pretrained Backbones
Francesco Pelosin
Workshop T4V (CVPR 2022)
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
Smaller is Better: An Analysis of Instance Quantity/Quality Trade-off in Rehearsal-based Continual Learning
Francesco Pelosin, Andrea Torsello
IJCNN (2022)
Unsupervised semantic discovery through visual patterns detection
Francesco Pelosin, Andrea Gasparetto, Andrea Albarelli, Andrea Torsello
S+SSPR (2022)
Separating Structure from Noise in Large Graphs Using the Regularity Lemma
Marco Fiorucci, Francesco Pelosin, Marcello Pelillo
Pattern Recognition (2020)
Graph Compression Using The Regularity Method
Francesco Pelosin
arXiv (2019), M.Sc. Thesis
