Publications
  • M. Blatzheim, D. Böckenhoff. Neural Network Regression Approaches to Reconstruct Properties of Magnetic Confguration from Wendelstein 7-X Modeled Heat Load Patterns. In: Nuclear Fusion (2019). DOI: doi.org/10.1088/1741-4326/ab4123.
  • D. Böckenhoff, M. Blatzheim. Application of improved analysis of convective heat loads on plasma facing components to Wendelstein 7-X. In: Nuclear Fusion 59.8 (July 2019), p. 086031. DOI: doi.org/10.1088/1741-4326/ab201e.
  • T. Grüning, G. Leifert, T. Strauß, J. Michael, R. Labahn. A two-stage method for text line detection in historical documents. In: International Journal on Document Analysis and Recognition (IJDAR) (July 2019). DOI: doi.org/10.1007/s10032-019-00332-1.
  • G. Leifert, R. Labahn, T. Grüning, S. Leifert. End-To-End Measure for Text Recognition. In: Proceedings of the 2019 15th International Conference on Document Analysis and Recognition. ICDAR ’19. Sept. 2019, to appear. URL: arxiv.org/abs/1908.09584.
  • J. Michael, R. Labahn, T. Grüning, J. Zöllner. Evaluating Sequence-to-Sequence Models for Handwritten Text Recognition. In: Proceedings of the 2019 15th International Conference on Document Analysis and Recognition. ICDAR ’19. Sept. 2019, to appear. URL: arxiv.org/abs/1903.07377.
  • M. Blatzheim, D. Böckenhoff, H. Hölbe, T. Sunn Pedersen, R. Labahn. Neural network performance enhancement for limited nuclear fusion experiment observations supported by simulations. In: Nuclear Fusion 59.1 (Dec. 2018), p. 016012. DOI: doi.org/10.1088/17414326/aaefaf.
  • D. Böckenhoff, M. Blatzheim, H. Hölbe, H. Niemann, F. Pisano, R. Labahn, T. Sunn Pedersen. Reconstruction of magnetic confgurations in W7-X using artifcial neural networks. In: Nuclear Fusion 58.5 (Mar. 2018), p. 056009. DOI: doi.org/10.1088/1741-4326/aab22d.
  • T. Grüning, R. Labahn, M. Diem, F. Kleber, S. Fiel. READ-BAD: A New Dataset and Evaluation Scheme for Baseline Detection in Archival Documents. In: 2018 13th IAPR International Workshop on Document Analysis Systems (DAS). Apr. 2018, pp. 351–356. DOI: doi.org/10.1109/DAS.2018.38.
  • T. Strauß, G. Leifert, R. Labahn, T. Hodel, G. Mühlberger. ICFHR2018 Competition on Automated Text Recognition on a READ Dataset. In: 16th International Conference on Frontiers in Handwriting Recognition (ICFHR) (2018), pp. 477–482.
  • T. Strauß, M. Weidemann, J. Michael, G. Leifert, T. Grüning, R. Labahn. System Description of CITlab’s Recognition&Retrieval Engine for ICDAR2017 Competition on Information Extraction in Historical Handwritten Records. In: (2018). URL: arxiv.org/abs/1804.09943.
  • M. Diem, F. Kleber, S. Fiel, T. Grüning, B. Gatos. cBAD: ICDAR2017 Competition on Baseline Detection. In: 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR). Vol. 01. Nov. 2017, pp. 1355–1360. DOI: doi.org/10.1109/ICDAR.2017.222.
  • T. Grüning, G. Leifert, T. Strauß, R. Labahn. A Robust and Binarization-Free Approach for Text Line Detection in Historical Documents. In: 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR). Vol. 01. Nov. 2017, pp. 236–241. DOI: doi.org/10.1109/ICDAR.2017.47.
  • G. Leifert, T. Strauß, T. Grüning, R. Labahn. CITlab ARGUS for historical handwritten documents - Description of CITlab’s System for the HTRtS 2015 Task: Handwritten Text Recognition on the tranScriptorium Dataset. In: CoRR abs/1605.08412 (2016). URL: arxiv.org/abs/1605.08412.
  • G. Leifert, T. Strauß, T. Grüning, W. Wustlich, R. Labahn. Cells in Multidimensional Recurrent Neural Networks. In: Journal of Machine Learning Research 17.97 (2016), pp. 1– 37. URL: jmlr.org/papers/v17/14-203.html.
  • T. Strauß, T. Grüning, G. Leifert, R. Labahn. CITlab ARGUS for Keyword Search in Historical Handwritten Documents: Description of CITlab’s System for the ImageCLEF 2016 Handwritten Scanned Document Retrieval Task. In: CLEF2016 Working Notes. Vol.1609. CEUR Workshop Proceedings. CEUR-WS.org, Sept. 2016, pp. 399–412. URL: ceur-ws.org/Vol-1609/16090399.pdf.
  • T. Strauß, G. Leifert, T. Grüning, R. Labahn. Regular expressions for decoding of neural network outputs. In: Neural Networks 79 (2016). Pp. 1–11. DOI: doi.org/10.1016/j.neunet.2016.03.003. URL: www.sciencedirect.com/science/article/pii/S0893608016000447.
  • G. Leifert, T. Grüning, T. Strauß, R. Labahn. CITlab ARGUS for historical data tables: Description of CITlab’s System for the ANWRESH-2014 Word Recognition Task. In: CoRR abs/1412.6012 (2014). URL: arxiv.org/abs/1412.6012.
  • G. Leifert, R. Labahn, T. Strauß. CITlab ARGUS for Arabic Handwriting: Description of CITlab’s System for the OpenHaRT 2013 Document Image Recognition Task. In: CoRR abs/1412.6061 (2014). URL: arxiv.org/abs/1412.6061.
  • T. Strauß, T. Grüning, G. Leifert, R. Labahn. CITlab ARGUS for historical handwritten documents: Description of CITlab’s System for the HTRtS 2014 Handwritten Text Recognition Task. In: CoRR abs/1412.3949 (2014). URL: arxiv.org/abs/1412.3949.
  • T. Strauß, W.Wustlich, R. Labahn. Design Strategies for Weight Matrices of Echo State Networks. In: Neural Computation 24.12 (2012). Pp. 3246–3276. DOI: doi.org/10.1162/NECO_a_00374.
Demonstrators

CITlab Algorithms & Technology Demonstrators

  • PLANET Cloud Services
    Various demonstrators, incl. for historical and/or handwritten text recognition.
    Designed, implemented and maintained by Planet.
  • UB Rostock IPAC Search (provisional: internal access only)
    Regular Expression based search in handwritten catalogue cards of the University Library.
    Designed, implemented and maintained by UB Rostock & Planet.