piwik-script

Deutsch Intern
    Chair of Computer Science VI - Artificial Intelligence and Applied Computer Science

    Wick, Christoph

    Dr. Christoph Wick

    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

    Publications

    • Wick, C., and Puppe, F. (2019) {OMMR}4all — a {Semiautomatic} {Online} {Editor} for {Medieval} {Music} {Notations}. In 2nd {International} {Workshop} on {Reading} {Music} {Systems} (Calvo-Zaragoza, J., and Pacha, A., Eds.), pp. 31–34, Delft, The Netherlands.
    • 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.
    • 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.
    • 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).
    • Staff, Symbol and Melody ...
      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.
    • Improving OCR Accuracy on...
      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.
    • Comparison of OCR Accurac...
      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.
    • Reul, C., Wick, C., Springmann, U., and Puppe, F. (2017) Transfer Learning for OCRopus Model Training on Early Printed Books.
    • Wick, C., and Puppe, F. (2017) Leaf Identification Using a Deep Convolutional Neural Network.
    • Reul, C., Springmann, U., Wick, C., and Puppe, F. (2017) Improving OCR Accuracy on Early Printed Books by utilizing Cross Fold Training and Voting.
    • Wick, C., and Puppe, F. (2017) Fully Convolutional Neural Networks for Page Segmentation of Historical Document Images.
    • Playing Music in Just Int...
      Stange, K., Wick, C., and Hinrichsen, H. (2017) Playing Music in Just Intonation - A Dynamically Adapting Tuning Scheme.
    • Wick, C. (2016) Deep Learning, Informatik-Spektrum 1–5.
    • Entanglement formation un...
      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)