Silvia Zottin

Researcher, University of Udine

Joined

March 2024

Names

Silvia Zottin (Preferred)

Emails

****@spes.uniud.it (Confirmed)

****@uniud.it (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Researcher

University of Udine (uniud.it)

2026 – 2028

Advisors, Relations & Conflicts

PhD Advisor

Gian Luca Foresti

Present

Coauthor

Axel De Nardin

Present

Coauthor

Omar De Mitri

Present

Coauthor

Claudio Piciarelli

Present

Coauthor

Marco Huber

Present

Coauthor

Cosimo Distante

Present

Expertise

Semantic Segmentation

Present

Computer Vision

Present

Document analysis

Present

Publications

U-DIADS-Bib: a full and few-shot pixel-precise dataset for document layout analysis of ancient manuscripts
Silvia Zottin, Axel De Nardin, Emanuela Colombi, Claudio Piciarelli, Filippo Pavan, Gian Luca Foresti
- Neural Comput. Appl. 2024
- Readers: Everyone
A One-Shot Learning Approach to Document Layout Segmentation of Ancient Arabic Manuscripts
Axel De Nardin, Silvia Zottin, Claudio Piciarelli, Emanuela Colombi, Gian Luca Foresti
- WACV 2024
- Readers: Everyone
ICDAR 2024 Competition on Few-Shot and Many-Shot Layout Segmentation of Ancient Manuscripts (SAM)
Silvia Zottin, Axel De Nardin, Gian Luca Foresti, Emanuela Colombi, Claudio Piciarelli
- ICDAR (6) 2024
- Readers: Everyone
Few-Shot Pixel-Precise Document Layout Segmentation via Dynamic Instance Generation and Local Thresholding
Axel De Nardin, Silvia Zottin, Claudio Piciarelli, Emanuela Colombi, Gian Luca Foresti
- Int. J. Neural Syst. 2023
- Readers: Everyone
Is ImageNet Always the Best Option? An Overview on Transfer Learning Strategies for Document Layout Analysis
Axel De Nardin, Silvia Zottin, Emanuela Colombi, Claudio Piciarelli, Gian Luca Foresti
- ICIAP Workshops (2) 2023
- Readers: Everyone
Efficient few-shot learning for pixel-precise handwritten document layout analysis
Axel De Nardin, Silvia Zottin, Matteo Paier, Gian Luca Foresti, Emanuela Colombi, Claudio Piciarelli
- WACV 2023
- Readers: Everyone
Dynamic Instance Generation for Few-Shot Handwritten Document Layout Segmentation (short paper)
Axel De Nardin, Silvia Zottin, Matteo Paier, Gian Luca Foresti, Emanuela Colombi, Claudio Piciarelli
- AI4CH@AI*IA 2022
- Readers: Everyone

Silvia Zottin

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

U-DIADS-Bib: a full and few-shot pixel-precise dataset for document layout analysis of ancient manuscripts

A One-Shot Learning Approach to Document Layout Segmentation of Ancient Arabic Manuscripts

ICDAR 2024 Competition on Few-Shot and Many-Shot Layout Segmentation of Ancient Manuscripts (SAM)

Few-Shot Pixel-Precise Document Layout Segmentation via Dynamic Instance Generation and Local Thresholding

Is ImageNet Always the Best Option? An Overview on Transfer Learning Strategies for Document Layout Analysis

Efficient few-shot learning for pixel-precise handwritten document layout analysis

Dynamic Instance Generation for Few-Shot Handwritten Document Layout Segmentation (short paper)

Co-Authors