| Fully convolutional neural networks for page segmentation of historical document images C Wick, F Puppe 2018 13th IAPR International Workshop on Document Analysis Systems (DAS …, 2018 | 103 | 2018 |
| Calamari-a high-performance tensorflow-based deep learning package for optical character recognition C Wick, C Reul, F Puppe arXiv preprint arXiv:1807.02004, 2018 | 100 | 2018 |
| OCR4all—An open-source tool providing a (semi-) automatic OCR workflow for historical printings C Reul, D Christ, A Hartelt, N Balbach, M Wehner, U Springmann, C Wick, ... Applied Sciences 9 (22), 4853, 2019 | 98 | 2019 |
| 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 | 56 | 2021 |
| Improving OCR Accuracy on Early Printed Books by utilizing Cross Fold Training and Voting C Reul, U Springmann, C Wick, F Puppe 2018 13th IAPR International Workshop on Document Analysis Systems (DAS …, 2018 | 42 | 2018 |
| Deep learning C Wick Informatik-Spektrum 40 (1), 103-107, 2017 | 38 | 2017 |
| 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 | 32 | 2022 |
| Comparison of OCR accuracy on early printed books using the open source engines Calamari and OCRopus C Wick, C Reul, F Puppe Journal for Language Technology and Computational Linguistics 33 (1), 79-96, 2018 | 31 | 2018 |
| State of the art optical character recognition of 19th century fraktur scripts using open source engines C Reul, U Springmann, C Wick, F Puppe arXiv preprint arXiv:1810.03436, 2018 | 25 | 2018 |
| Leaf identification using a deep convolutional neural network C Wick, F Puppe arXiv preprint arXiv:1712.00967, 2017 | 19 | 2017 |
| Playing music in just intonation: a dynamically adaptive tuning scheme K Stange, C Wick, H Hinrichsen Computer Music Journal 42 (3), 47-62, 2018 | 18 | 2018 |
| Improving OCR accuracy on early printed books by combining pretraining, voting, and active learning C Reul, U Springmann, C Wick, F Puppe arXiv preprint arXiv:1802.10038, 2018 | 18 | 2018 |
| Transfer learning for OCRopus model training on early printed books C Reul, C Wick, U Springmann, F Puppe arXiv preprint arXiv:1712.05586, 2017 | 17 | 2017 |
| Staff, symbol and melody detection of medieval manuscripts written in square notation using deep fully convolutional networks C Wick, A Hartelt, F Puppe Applied Sciences 9 (13), 2646, 2019 | 15 | 2019 |
| Experiments and detailed error-analysis of automatic square notation transcription of medieval music manuscripts using CNN/LSTM-networks and a neume dictionary C Wick, F Puppe Journal of New Music Research 50 (1), 18-36, 2021 | 12 | 2021 |
| Optimizing small BERTs trained for German NER J Zöllner, K Sperfeld, C Wick, R Labahn Information 12 (11), 443, 2021 | 9 | 2021 |
| OMMR4all-a semiautomatic online editor for medieval music notations C Wick, F Puppe 2nd International workshop on reading music systems, 31-34, 2019 | 9 | 2019 |
| Mixed model OCR training on historical Latin script for out-of-the-box recognition and finetuning C Reul, C Wick, M Nöth, A Büttner, M Wehner, U Springmann Proceedings of the 6th International Workshop on Historical Document Imaging …, 2021 | 8 | 2021 |
| Editor support for digital editions of medieval monophonic music T Eipert, F Herrmann, C Wick, F Puppe, A Haug Proceedings of the 2nd International Workshop on Reading Music Systems, 4-7, 2019 | 7 | 2019 |
| One-model ensemble-learning for text recognition of historical printings C Wick, C Reul International Conference on Document Analysis and Recognition, 385-399, 2021 | 6 | 2021 |
Christian ReulCentre for Philology and Digitality, University of Würzburguni-wuerzburg.de의 이메일 확인됨