Lars Vögtlin

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 14

Top Topics

Historical Documents

Document Image Analysis

Text Line Segmentation

Handwriting Recognition

Top Venues

Publications

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DIVA-DAF: A Deep Learning Framework for Historical Document Image Analysis.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)
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)
Michael Jungo, Lars Vögtlin, Atefeh Fakhari, Nathan Wegmann, Rolf Ingold, Andreas Fischer, Anna Scius-Bertrand
Impact of Ground Truth Quality on Handwriting Recognition. CoRR (2023)
Najoua Rahal, Lars Vögtlin, Rolf Ingold
Layout Analysis of Historical Document Images Using a Light Fully Convolutional Network. ICDAR (5) (2023)
Najoua Rahal, Lars Vögtlin, Rolf Ingold
Historical document image analysis using controlled data for pre-training. Int. J. Document Anal. Recognit. 26 (3) (2023)
Lars Vögtlin, Paul Maergner, Rolf Ingold
DIVA-DAF: A Deep Learning Framework for Historical Document Image Analysis. CoRR (2022)
Lars Vögtlin, Manuel Drazyk, Vinaychandran Pondenkandath, Michele Alberti, Rolf Ingold
Generating Synthetic Handwritten Historical Documents with OCR Constrained GANs. ICDAR (3) (2021)
Lars Vögtlin, Manuel Drazyk, Vinaychandran Pondenkandath, Michele Alberti, Rolf Ingold
Generating Synthetic Handwritten Historical Documents With OCR Constrained GANs. CoRR (2021)
Lars Vögtlin, Vinaychandran Pondenkandath, Rolf Ingold
Cobra: A CLI Tool To Create And Share Reproducible Projects. SDS (2020)
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 (2019)
Michele Alberti, Vinaychandran Pondenkandath, Lars Vögtlin, Marcel Würsch, Rolf Ingold, Marcus Liwicki
Improving Reproducible Deep Learning Workflows with DeepDIVA. SDS (2019)
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)
Michele Alberti, Vinaychandran Pondenkandath, Lars Vögtlin, Marcel Würsch, Rolf Ingold, Marcus Liwicki
Improving Reproducible Deep Learning Workflows with DeepDIVA. CoRR (2019)
Anna Scius-Bertrand, Lars Vögtlin, Michele Alberti, Andreas Fischer, Marc Bui
Layout Analysis and Text Column Segmentation for Historical Vietnamese Steles. HIP@ICDAR (2019)