Wick, Christoph
Christoph Wick, M.Sc.


University of Würzburg
Department for Artificial Intelligence
and Applied Computer Science
Am Hubland
D-97074 Würzburg
Room: B015
Phone: +49 931 / 31 - 82067
christoph.wick@uni-wuerzburg.de
PGP-Key: 8E431938 (4A54 9836 DC22 EDDA ED80 992F AE8E FF7A 8E43 1938)
Projects
- Deep Learning
- Entropy Piano Tuner
Publications
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1.Wick, C., and Puppe, F. (2019) OMMR4all — a Semiautomatic Online Editor for Medieval Music Notations. In 2nd International Workshop on Reading Music Systems (Calvo-Zaragoza, J., and Pacha, A., Eds.), p. 31–34, Delft, The Netherlands.
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2.Reul, C., Springmann, U., Wick, C., and Puppe, F. (2019) State of the Art Optical Character Recognition of 19th Century Fraktur Scripts using Open Source Engines, DHd 2019 Digital Humanities: multimedial & multimodal.
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3.Reul, C., Göttel, S., Springmann, U., Wick, C., Würzner, K.-M., and Puppe, F. (2019) Automatic Semantic Text Tagging on Historical Lexica by Combining OCR and Typography Classification, Proceedings of the 3rd International Conference on Digital Access to Textual Cultural Heritage.[ BibTeX ]
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4.Reul, C., Christ, D., Hartelt, A., Balbach, N., Wehner, M., Springmann, U., Wick, C., Grundig, C., Büttner, A., and Puppe, F. (2019) OCR4all - An Open-Source Tool Providing a (Semi-)Automatic OCR Workflow for Historical Printings, ArXiv Preprints (submitted to MDPI - Applied Sciences).
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5.Wick, C., Hartelt, A., and Puppe, F. (2019) Staff, Symbol and Melody Detection of Medieval Manuscripts Written in Square Notation Using Deep Fully Convolutional Networks, Applied Sciences 9.
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6.Reul, C., Springmann, U., Wick, C., and Puppe, F. (2018) Improving OCR Accuracy on Early Printed Books by combining Pretraining, Voting, and Active Learning, JLCL 33, 3–24.
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7.Wick, C., Reul, C., and Puppe, F. (2018) Comparison of OCR Accuracy on Early Printed Books using the Open Source Engines Calamari and OCRopus, JLCL, pp. 79–96.
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8.Reul, C., Wick, C., Springmann, U., and Puppe, F. (2017) Transfer Learning for OCRopus Model Training on Early Printed Books.
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9.Wick, C., and Puppe, F. (2017) Leaf Identification Using a Deep Convolutional Neural Network.
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10.Reul, C., Springmann, U., Wick, C., and Puppe, F. (2017) Improving OCR Accuracy on Early Printed Books by utilizing Cross Fold Training and Voting.
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11.Wick, C., and Puppe, F. (2017) Fully Convolutional Neural Networks for Page Segmentation of Historical Document Images.
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12.Stange, K., Wick, C., and Hinrichsen, H. (2017) Playing Music in Just Intonation - A Dynamically Adapting Tuning Scheme.
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13.Wick, C. (2016) Deep Learning, Informatik-Spektrum 1–5.
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14.Wick, C., Um, J., and Hinrichsen, H. (2015) Entanglement formation under random interactions.
Teaching
- Seminar "Aktuelle Trends der künstlichen Intelligenz" - "Deep Learning" (winter term 2015/2016)
- Künstliche Intelligenz 2 (winter term 2015/2016)
- Seminar "Aktuelle Trends der künstlichen Intelligenz" - Wissensmodellierung (summer term 2016)
- Softwaretechnik (summer term 2016)