Lars Vögtlin

Orcid: 0000-0002-2543-9074

According to our database1, Lars Vögtlin authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Approximate ground truth generation for semantic labeling of historical documents with minimal human effort.
Int. J. Document Anal. Recognit., September, 2024

Contrastive Learning for Character Detection in Ancient Greek Papyri.
CoRR, 2024

Are Layout Analysis and OCR Still Useful for Document Information Extraction Using Foundation Models?
Proceedings of the Document Analysis and Recognition - ICDAR 2024 - 18th International Conference, Athens, Greece, August 30, 2024

2023
Historical document image analysis using controlled data for pre-training.
Int. J. Document Anal. Recognit., September, 2023

Impact of the ground truth quality for handwriting recognition.
Proceedings of the 12th International Symposium on Information and Communication Technology, 2023

DIVA-DAF: A Deep Learning Framework for Historical Document Image Analysis.
Proceedings of the 7th International Workshop on Historical Document Imaging and Processing, 2023

Layout Analysis of Historical Document Images Using a Light Fully Convolutional Network.
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

2022
DIVA-DAF: A Deep Learning Framework for Historical Document Image Analysis.
CoRR, 2022

2021
Generating Synthetic Handwritten Historical Documents with OCR Constrained GANs.
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

2020
Cobra: A CLI Tool To Create And Share Reproducible Projects.
Proceedings of the 7th Swiss Conference on Data Science, 2020

2019
Improving Reproducible Deep Learning Workflows with DeepDIVA.
Proceedings of the 6th Swiss Conference on Data Science, 2019

Layout Analysis and Text Column Segmentation for Historical Vietnamese Steles.
Proceedings of the 5th International Workshop on Historical Document Imaging and Processing, 2019

Labeling, Cutting, Grouping: An Efficient Text Line Segmentation Method for Medieval Manuscripts.
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019


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