Axel De Nardin

According to our database, Axel De Nardin authored at least 9 papers between 2021 and 2024.

Collaborative distances:

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

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

CoRR, 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

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

Masked Transformer for Image Anomaly Localization.

Axel De Nardin, Pankaj Mishra, Gian Luca Foresti, Claudio Piciarelli

Int. J. Neural Syst., 2022

Bringing Attention to Image Anomaly Detection.

Axel De Nardin, Pankaj Mishra, Claudio Piciarelli, Gian Luca Foresti

Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 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

2021

A Time-series Classification Approach to Shallow Web Traffic De-anonymization.

Axel De Nardin, Marino Miculan, Claudio Piciarelli, Gian Luca Foresti

Proceedings of the Italian Conference on Cybersecurity, 2021