Silvia Zottin

According to our database, Silvia Zottin authored at least 19 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

FsBAD: Data-efficient feature reconstruction for few-shot brain anomaly detection.

Hussain Ahmad Madni, Hafsa Shujat, Axel De Nardin, Silvia Zottin, Gian Luca Foresti

Pattern Recognit. Lett., 2026

Deep acoustic learning on unmanned aerial vehicles for real-time human and drone detection.

Andrea Toma, Daniele Salvati, Axel De Nardin, Silvia Zottin, Ivan Scagnetto, Giovanni Ferrin, Carlo Drioli, Gian Luca Foresti

Integr. Comput. Aided Eng., 2026

Mitigating Data Scarcity in Cancer Classification With Synthetic Data.

Hussain Ahmad Madni, Hafsa Shujat, Silvia Zottin, Axel De Nardin, Gian Luca Foresti

IEEE Access, 2026

2025

Unsupervised Brain MRI Anomaly Detection via Inter-Realization Channels.

Hussain Ahmad Madni, Hafsa Shujat, Axel De Nardin, Silvia Zottin, Gian Luca Foresti

Int. J. Neural Syst., October, 2025

In-domain versus out-of-domain transfer learning for document layout analysis.

Axel De Nardin, Silvia Zottin, Claudio Piciarelli, Gian Luca Foresti, Emanuela Colombi

Int. J. Document Anal. Recognit., June, 2025

FL-W3S: Cross-domain federated learning for weakly supervised semantic segmentation of white blood cells.

Hussain Ahmad Madni, Rao Muhammad Umer, Silvia Zottin, Carsten Marr, Gian Luca Foresti

Int. J. Medical Informatics, 2025

A multibranch and multiattention framework for floor plan segmentation.

Axel De Nardin, Silvia Zottin, Andrea Toma, Claudio Piciarelli, Gian Luca Foresti

Comput. Aided Civ. Infrastructure Eng., 2025

Multi-Modal Analysis of Bi-Parametric MRI Slices for Lesion Detection in Prostate Cancer Screening.

Davide Antonutti, Axel De Nardin, Silvia Zottin, Claudio Piciarelli, Gian Luca Foresti

IEEE Access, 2025

Exploring Few-Shot Text Line Segmentation Approaches in Challenging Ancient Manuscripts.

Silvia Zottin, Axel De Nardin, Giuseppe Branca, Emanuela Colombi, Claudio Piciarelli, Hafsa Shujat, Gian Luca Foresti

Proceedings of the 21st Conference on Information and Research science Connecting to Digital and Library science, 2025

Segmenting Anything in Architecture: A Tailored Approach to Segmenting Floor Plan Documents.

Claudio Piciarelli, Silvia Zottin, Axel De Nardin, Gian Luca Foresti

Proceedings of the Image Analysis and Processing - ICIAP 2025, 2025

ICDAR 2025 Competition on FEw-Shot Text Line Segmentation of Ancient Handwritten Documents (FEST).

Silvia Zottin, Axel De Nardin, Giuseppe Branca, Claudio Piciarelli, Gian Luca Foresti

Proceedings of the Document Analysis and Recognition - ICDAR 2025, 2025

Deep Learning-Based Intrusion Detection Systems for Phishing Email Detection: A Short Survey.

Axel De Nardin, Silvia Zottin, Claudio Piciarelli, Gian Luca Foresti

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2024

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., July, 2024

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

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

Proceedings of the Document Analysis and Recognition - ICDAR 2024 - 18th International Conference, Athens, Greece, August 30, 2024

2023

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., October, 2023

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

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

Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 2023

2022

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

Proceedings of the 1st Workshop on Artificial Intelligence for Cultural Heritage, 2022