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2020 – today
- 2024
[j2]Najoua Rahal, Lars Vögtlin, Rolf Ingold:
Approximate ground truth generation for semantic labeling of historical documents with minimal human effort. Int. J. Document Anal. Recognit. 27(3): 335-347 (2024)- [c10]Anna Scius-Bertrand, Atefeh Fakhari, Lars Vögtlin
, Daniel Ribeiro Cabral, Andreas Fischer:
Are Layout Analysis and OCR Still Useful for Document Information Extraction Using Foundation Models? ICDAR (4) 2024: 175-191 - [c9]Anna Scius-Bertrand, Michael Jungo, Lars Vögtlin, Jean-Marc Spat, Andreas Fischer:
Zero-Shot Prompting and Few-Shot Fine-Tuning: Revisiting Document Image Classification Using Large Language Models. ICPR (19) 2024: 152-166 - [i6]Vedasri Nakka, Andreas Fischer, Rolf Ingold, Lars Vögtlin:
Contrastive Learning for Character Detection in Ancient Greek Papyri. CoRR abs/2409.10156 (2024) - 2023
- [j1]Najoua Rahal, Lars Vögtlin, Rolf Ingold:
Historical document image analysis using controlled data for pre-training. Int. J. Document Anal. Recognit. 26(3): 241-254 (2023) - [c8]Lars Vögtlin, Anna Scius-Bertrand, Paul Maergner, Andreas Fischer, Rolf Ingold:
DIVA-DAF: A Deep Learning Framework for Historical Document Image Analysis. HIP@ICDAR 2023: 61-66 - [c7]Najoua Rahal, Lars Vögtlin, Rolf Ingold:
Layout Analysis of Historical Document Images Using a Light Fully Convolutional Network. ICDAR (5) 2023: 325-341 - [c6]Michael Jungo, Lars Vögtlin, Atefeh Fakhari, Nathan Wegmann, Rolf Ingold, Andreas Fischer, Anna Scius-Bertrand:
Impact of the ground truth quality for handwriting recognition. SoICT 2023: 135-140 - [i5]Michael Jungo, Lars Vögtlin, Atefeh Fakhari, Nathan Wegmann, Rolf Ingold, Andreas Fischer, Anna Scius-Bertrand:
Impact of Ground Truth Quality on Handwriting Recognition. CoRR abs/2312.09037 (2023) - 2022
- [i4]Lars Vögtlin, Paul Maergner, Rolf Ingold:
DIVA-DAF: A Deep Learning Framework for Historical Document Image Analysis. CoRR abs/2201.08295 (2022) - 2021
- [c5]Lars Vögtlin, Manuel Drazyk, Vinaychandran Pondenkandath, Michele Alberti, Rolf Ingold:
Generating Synthetic Handwritten Historical Documents with OCR Constrained GANs. ICDAR (3) 2021: 610-625 - [i3]Lars Vögtlin, Manuel Drazyk, Vinaychandran Pondenkandath, Michele Alberti, Rolf Ingold:
Generating Synthetic Handwritten Historical Documents With OCR Constrained GANs. CoRR abs/2103.08236 (2021) - 2020
- [c4]Lars Vögtlin, Vinaychandran Pondenkandath, Rolf Ingold:
Cobra: A CLI Tool To Create And Share Reproducible Projects. SDS 2020: 47-48
2010 – 2019
- 2019
- [c3]Anna Scius-Bertrand, Lars Vögtlin, Michele Alberti, Andreas Fischer, Marc Bui:
Layout Analysis and Text Column Segmentation for Historical Vietnamese Steles. HIP@ICDAR 2019: 84-89 - [c2]Michele Alberti, Lars Vögtlin, Vinaychandran Pondenkandath, Mathias Seuret, Rolf Ingold, Marcus Liwicki:
Labeling, Cutting, Grouping: An Efficient Text Line Segmentation Method for Medieval Manuscripts. ICDAR 2019: 1200-1206 - [c1]Michele Alberti, Vinaychandran Pondenkandath, Lars Vögtlin, Marcel Würsch, Rolf Ingold, Marcus Liwicki:
Improving Reproducible Deep Learning Workflows with DeepDIVA. SDS 2019: 13-18 - [i2]Michele Alberti, Vinaychandran Pondenkandath, Lars Vögtlin, Marcel Würsch, Rolf Ingold, Marcus Liwicki:
Improving Reproducible Deep Learning Workflows with DeepDIVA. CoRR abs/1906.04736 (2019) - [i1]Michele Alberti, Lars Vögtlin, Vinaychandran Pondenkandath, Mathias Seuret, Rolf Ingold, Marcus Liwicki:
Labeling, Cutting, Grouping: an Efficient Text Line Segmentation Method for Medieval Manuscripts. CoRR abs/1906.11894 (2019)
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