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Tobias Grüning
Tobias Grüning
Lead AI Researcher, Planet AI GmbH
Verified email at planet.de
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Cited by
Cited by
Year
Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study
G Muehlberger, L Seaward, M Terras, SA Oliveira, V Bosch, M Bryan, ...
Journal of documentation 75 (5), 954-976, 2019
1552019
A two-stage method for text line detection in historical documents
T Grüning, G Leifert, T Strauß, J Michael, R Labahn
International Journal on Document Analysis and Recognition (IJDAR) 22 (3 …, 2019
1522019
Evaluating sequence-to-sequence models for handwritten text recognition
J Michael, R Labahn, T Grüning, J Zöllner
2019 International Conference on Document Analysis and Recognition (ICDAR …, 2019
1322019
cBAD: ICDAR2017 competition on baseline detection
M Diem, F Kleber, S Fiel, T Grüning, B Gatos
2017 14th IAPR International Conference on Document Analysis and Recognition …, 2017
1002017
Read-bad: A new dataset and evaluation scheme for baseline detection in archival documents
T Grüning, R Labahn, M Diem, F Kleber, S Fiel
2018 13th IAPR International Workshop on Document Analysis Systems (DAS …, 2018
812018
Cells in multidimensional recurrent neural networks
G Leifert, T Strauß, T Grüning, R Labahn
arXiv preprint arXiv:1412.2620, 2014
422014
A robust and binarization-free approach for text line detection in historical documents
T Gruuening, G Leifert, T Strauss, R Labahn
2017 14th IAPR International Conference on Document Analysis and Recognition …, 2017
412017
Transformer for handwritten text recognition using bidirectional post-decoding
C Wick, J Zöllner, T Grüning
International Conference on Document Analysis and Recognition, 112-126, 2021
382021
Rescoring sequence-to-sequence models for text line recognition with CTC-prefixes
C Wick, J Zöllner, T Grüning
International Workshop on Document Analysis Systems, 260-274, 2022
202022
Feedforward control design for a four-rotor UAV using direct and indirect methods
T Grüning, A Rauh, H Aschemann
2012 17th International Conference on Methods & Models in Automation …, 2012
152012
CITlab ARGUS for Keyword Search in Historical Handwritten Documents-Description of CITlab's System for the ImageCLEF 2016 Handwritten Scanned Document Retrieval Task.
T Strauß, T Grüning, G Leifert, R Labahn
CLEF (Working Notes), 399-412, 2016
142016
Optimization of the longitudinal dynamics of parallel hybrid railway vehicles
M Leska, T Grüning, H Aschemann, A Rauh
2012 IEEE International Conference on Control Applications, 202-207, 2012
142012
CITlab ARGUS for historical handwritten documents
G Leifert, T Strauß, T Grüning, R Labahn
arXiv preprint arXiv:1605.08412, 2016
112016
System Description of CITlab's Recognition & Retrieval Engine for ICDAR2017 Competition on Information Extraction in Historical Handwritten Records
T Strauß, M Weidemann, J Michael, G Leifert, T Grüning, R Labahn
arXiv preprint arXiv:1804.09943, 2018
102018
Citlab ARGUS for historical handwritten documents
T Strauß, T Grüning, G Leifert, R Labahn
arXiv preprint arXiv:1412.3949, 2014
102014
Optimal trajectory planning for standard and hybrid railway vehicles with a hydro-mechanic transmission
M Leska, T Grüning, H Aschemann, A Rauh
2013 European Control Conference (ECC), 4550-4555, 2013
82013
Regular expressions for decoding of neural network outputs
T Strauß, G Leifert, T Grüning, R Labahn
Neural Networks 79, 1-11, 2016
72016
ScriptNet: ICDAR 2017 Competition on Baseline Detection in Archival Documents (cBAD)(2017)
M Diem, F Kleber, S Fiel, T Grüning, B Gatos
This project has received funding from the European Union’s Horizon, 2020
62020
HTR engine based on NNs P2 building deep architectures with TensorFlow
M Weidemann, J Michael, T Grüning, R Labahn
Technical report, 2018
62018
CITlab ARGUS for historical data tables
G Leifert, T Grüning, T Strauß, R Labahn
arXiv preprint arXiv:1412.6012, 2014
32014
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