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Rolf Ingold

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Impact of Ground Truth Quality on Handwriting Recognition

Dec 14, 2023
Michael Jungo, Lars Vögtlin, Atefeh Fakhari, Nathan Wegmann, Rolf Ingold, Andreas Fischer, Anna Scius-Bertrand

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DIVA-DAF: A Deep Learning Framework for Historical Document Image Analysis

Jan 21, 2022
Lars Vögtlin, Paul Maergner, Rolf Ingold

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Generating Synthetic Handwritten Historical Documents With OCR Constrained GANs

Mar 15, 2021
Lars Vögtlin, Manuel Drazyk, Vinaychandran Pondenkandath, Michele Alberti, Rolf Ingold

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Trainable Spectrally Initializable Matrix Transformations in Convolutional Neural Networks

Nov 13, 2019
Michele Alberti, Angela Botros, Narayan Schuez, Rolf Ingold, Marcus Liwicki, Mathias Seuret

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Labeling, Cutting, Grouping: an Efficient Text Line Segmentation Method for Medieval Manuscripts

Jul 01, 2019
Michele Alberti, Lars Vögtlin, Vinaychandran Pondenkandath, Mathias Seuret, Rolf Ingold, Marcus Liwicki

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Graph-Based Offline Signature Verification

Jun 25, 2019
Paul Maergner, Nicholas R. Howe, Kaspar Riesen, Rolf Ingold, Andreas Fischer

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Improving Reproducible Deep Learning Workflows with DeepDIVA

Jun 11, 2019
Michele Alberti, Vinaychandran Pondenkandath, Lars Vögtlin, Marcel Würsch, Rolf Ingold, Marcus Liwicki

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Survey of Artificial Intelligence for Card Games and Its Application to the Swiss Game Jass

Jun 11, 2019
Joel Niklaus, Michele Alberti, Vinaychandran Pondenkandath, Rolf Ingold, Marcus Liwicki

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A Comprehensive Study of ImageNet Pre-Training for Historical Document Image Analysis

May 22, 2019
Linda Studer, Michele Alberti, Vinaychandran Pondenkandath, Pinar Goktepe, Thomas Kolonko, Andreas Fischer, Marcus Liwicki, Rolf Ingold

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Leveraging Random Label Memorization for Unsupervised Pre-Training

Nov 05, 2018
Vinaychandran Pondenkandath, Michele Alberti, Sammer Puran, Rolf Ingold, Marcus Liwicki

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