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Christoph Wick
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2020 – today
- 2022
- [c11]Christoph Wick
, Jochen Zöllner
Rescoring Sequence-to-Sequence Models for Text Line Recognition with CTC-Prefixes. DAS 2022: 260-274 - 2021
- [j8]Jochen Zöllner
Optimizing Small BERTs Trained for German NER. Inf. 12(11): 443 (2021) - [j7]Christoph Wick
_tfaip_ - a Generic and Powerful Research Framework for Deep Learning based on Tensorflow. J. Open Source Softw. 6(62): 3297 (2021) - [c10]Christian Reul, Christoph Wick, Maximilian Nöth, Andreas Büttner
Mixed Model OCR Training on Historical Latin Script for Out-of-the-Box Recognition and Finetuning. HIP@ICDAR 2021: 7-12 - [c9]Christoph Wick
Transformer for Handwritten Text Recognition Using Bidirectional Post-decoding. ICDAR (3) 2021: 112-126 - [c8]Christoph Wick
One-Model Ensemble-Learning for Text Recognition of Historical Printings. ICDAR (1) 2021: 385-399 - [i12]Jochen Zöllner, Konrad Sperfeld, Christoph Wick, Roger Labahn:
Optimizing small BERTs trained for German NER. CoRR abs/2104.11559 (2021) - [i11]Christian Reul, Christoph Wick, Maximilian Nöth, Andreas Büttner, Maximilian Wehner, Uwe Springmann:
Mixed Model OCR Training on Historical Latin Script for Out-of-the-Box Recognition and Finetuning. CoRR abs/2106.07881 (2021) - [i10]Christoph Wick, Jochen Zöllner, Tobias Grüning:
Rescoring Sequence-to-Sequence Models for Text Line Recognition with CTC-Prefixes. CoRR abs/2110.05909 (2021) - 2020
- [b1]Christoph Wick:
Optical Medieval Music Recognition. Würzburg University, Germany, 2020 - [j6]Christoph Wick, Christian Reul, Frank Puppe:
Calamari - A High-Performance Tensorflow-based Deep Learning Package for Optical Character Recognition. Digit. Humanit. Q. 14(2) (2020) - [c7]Christoph Wick, Alexander Hartelt, Frank Puppe:
OMMR4all - ein semiautomatischer Online-Editor für mittelalterliche Musiknotationen. DHd 2020 - [c6]Christoph Wick, Alexander Hartelt, Frank Puppe:
Lyrics Recognition and Syllable Assignment of Medieval Music Manuscripts. ICFHR 2020: 187-192
2010 – 2019
- 2019
- [c5]Christian Reul, Sebastian Göttel
Automatic Semantic Text Tagging on Historical Lexica by Combining OCR and Typography Classification: A Case Study on Daniel Sander's Wörterbuch der Deutschen Sprache. DATeCH 2019: 33-38 - [c4]Christian Reul, Uwe Springmann, Christoph Wick, Frank Puppe:
State of the Art Optical Character Recognition of 19th Century Fraktur Scripts using Open Source Engines. DHd 2019 - [i9]Christian Reul, Dennis Christ, Alexander Hartelt, Nico Balbach, Maximilian Wehner, Uwe Springmann, Christoph Wick, Christine Grundig, Andreas Büttner, Frank Puppe:
OCR4all - An Open-Source Tool Providing a (Semi-)Automatic OCR Workflow for Historical Printings. CoRR abs/1909.04032 (2019) - 2018
- [j5]Karolin Stange, Christoph Wick, Haye Hinrichsen:
Playing Music in Just Intonation: A Dynamically Adaptive Tuning Scheme. Comput. Music. J. 42(3) (2018) - [j4]Christian Reul, Uwe Springmann, Christoph Wick, Frank Puppe:
Improving OCR Accuracy on Early Printed Books by combining Pretraining, Voting, and Active Learning. J. Lang. Technol. Comput. Linguistics 33(1): 3-24 (2018) - [j3]Christoph Wick, Christian Reul, Frank Puppe:
Comparison of OCR Accuracy on Early Printed Books using the Open Source Engines Calamari and OCRopus. J. Lang. Technol. Comput. Linguistics 33(1): 79-96 (2018) - [c3]Christoph Wick, Frank Puppe:
Fully Convolutional Neural Networks for Page Segmentation of Historical Document Images. DAS 2018: 287-292 - [c2]Christian Reul
Improving OCR Accuracy on Early Printed Books by Utilizing Cross Fold Training and Voting. DAS 2018: 423-428 - [i8]Christoph Wick, Christian Reul, Frank Puppe:
Improving OCR Accuracy on Early Printed Books using Deep Convolutional Networks. CoRR abs/1802.10033 (2018) - [i7]Christian Reul
Improving OCR Accuracy on Early Printed Books by combining Pretraining, Voting, and Active Learning. CoRR abs/1802.10038 (2018) - [i6]Christoph Wick, Christian Reul
Calamari - A High-Performance Tensorflow-based Deep Learning Package for Optical Character Recognition. CoRR abs/1807.02004 (2018) - [i5]Christian Reul
State of the Art Optical Character Recognition of 19th Century Fraktur Scripts using Open Source Engines. CoRR abs/1810.03436 (2018) - 2017
- [j2]Christoph Wick:
Deep Learning. Inform. Spektrum 40(1): 103-107 (2017) - [c1]Markus Krug, Christoph Wick, Fotis Jannidis, Isabella Reger, Lukas Weimer, Nathalie Madarász, Frank Puppe:
Comparison of Methods for Automatic Relation Extraction in German Novels. DHd 2017 - [i4]Christoph Wick, Frank Puppe:
Fully Convolutional Neural Networks for Page Segmentation of Historical Document Images. CoRR abs/1711.07695 (2017) - [i3]Christian Reul, Uwe Springmann, Christoph Wick, Frank Puppe:
Improving OCR Accuracy on Early Printed Books by utilizing Cross Fold Training and Voting. CoRR abs/1711.09670 (2017) - [i2]Christoph Wick, Frank Puppe:
Leaf Identification Using a Deep Convolutional Neural Network. CoRR abs/1712.00967 (2017) - [i1]Christian Reul
Transfer Learning for OCRopus Model Training on Early Printed Books. CoRR abs/1712.05586 (2017)
2000 – 2009
- 2000
- [j1]Michael Weidenbach, Christoph Wick, Stefan Pieper, Klaus-Jürgen Quast, Thorsten Fox, Gernoth Grunst, Dierk A. Redel:
Augmented Reality Simulator for Training in Two-Dimensional Echocardiography. Comput. Biomed. Res. 33(1): 11-22 (2000)
Coauthor Index
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