| Annotation-free learning of deep representations for word spotting using synthetic data and self labeling F Wolf, GA Fink International Workshop on Document Analysis Systems, 293-308, 2020 | 13 | 2020 |
| Are end-to-end systems really necessary for NER on handwritten document images? O Tüselmann, F Wolf, GA Fink International Conference on Document Analysis and Recognition, 808-822, 2021 | 10 | 2021 |
| Recognition-free question answering on handwritten document collections O Tüselmann, F Müller, F Wolf, GA Fink International Conference on Frontiers in Handwriting Recognition, 259-273, 2022 | 6 | 2022 |
| Identifying and tackling key challenges in semantic word spotting O Tüselmann, F Wolf, GA Fink 2020 17th International Conference on Frontiers in Handwriting Recognition …, 2020 | 6 | 2020 |
| Self-training of handwritten word recognition for synthetic-to-real adaptation F Wolf, GA Fink 2022 26th International Conference on Pattern Recognition (ICPR), 3885-3892, 2022 | 5 | 2022 |
| Annotation-free word spotting with bag-of-features HMMs L Rothacker, F Wolf, GA Fink International Journal of Pattern Recognition and Artificial Intelligence 35 …, 2021 | 4 | 2021 |
| Improving handwritten word synthesis for annotation-free word spotting F Wolf, K Brandenbusch, GA Fink 2020 17th International Conference on Frontiers in Handwriting Recognition …, 2020 | 4 | 2020 |
| Exploring confidence measures for word spotting in heterogeneous datasets F Wolf, P Oberdiek, G Fink 2019 International Conference on Document Analysis and Recognition (ICDAR …, 2019 | 3 | 2019 |
| Combining self-training and minimal annotations for handwritten word recognition F Wolf, GA Fink International Conference on Frontiers in Handwriting Recognition, 300-315, 2022 | 1 | 2022 |
| Graph convolutional neural networks for learning attribute representations for word spotting F Wolf, A Fischer, GA Fink International Conference on Document Analysis and Recognition, 50-64, 2021 | 1 | 2021 |
