| PCA-initialized deep neural networks applied to document image analysis M Seuret, M Alberti, M Liwicki, R Ingold 2017 14th IAPR international conference on document analysis and recognition …, 2017 | 56 | 2017 |
| A comprehensive study of imagenet pre-training for historical document image analysis L Studer, M Alberti, V Pondenkandath, P Goktepe, T Kolonko, A Fischer, ... 2019 International Conference on Document Analysis and Recognition (ICDAR …, 2019 | 46 | 2019 |
| Icdar2017 competition on layout analysis for challenging medieval manuscripts F Simistira, M Bouillon, M Seuret, M Würsch, M Alberti, R Ingold, M Liwicki 2017 14th IAPR International Conference on Document Analysis and Recognition …, 2017 | 43 | 2017 |
| Combining graph edit distance and triplet networks for offline signature verification P Maergner, V Pondenkandath, M Alberti, M Liwicki, K Riesen, R Ingold, ... Pattern Recognition Letters 125, 527-533, 2019 | 31 | 2019 |
| Deepdiva: a highly-functional python framework for reproducible experiments M Alberti, V Pondenkandath, M Würsch, R Ingold, M Liwicki 2018 16th International Conference on Frontiers in Handwriting Recognition …, 2018 | 27 | 2018 |
| Open evaluation tool for layout analysis of document images M Alberti, M Bouillon, R Ingold, M Liwicki 2017 14th IAPR International Conference on Document Analysis and Recognition …, 2017 | 27 | 2017 |
| Labeling, cutting, grouping: an efficient text line segmentation method for medieval manuscripts M Alberti, L Vögtlin, V Pondenkandath, M Seuret, R Ingold, M Liwicki 2019 International Conference on Document Analysis and Recognition (ICDAR …, 2019 | 26 | 2019 |
| Historical document image segmentation with LDA-initialized deep neural networks M Alberti, M Seuret, V Pondenkandath, R Ingold, M Liwicki Proceedings of the 4th international workshop on historical document imaging …, 2017 | 21 | 2017 |
| Offline signature verification by combining graph edit distance and triplet networks P Maergner, V Pondenkandath, M Alberti, M Liwicki, K Riesen, R Ingold, ... Joint IAPR International Workshops on Statistical Techniques in Pattern …, 2018 | 19 | 2018 |
| Are you tampering with my data? M Alberti, V Pondenkandath, M Wursch, M Bouillon, M Seuret, R Ingold, ... Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 15 | 2018 |
| N-light-N: read the friendly manual M Seuret, M Alberti, M Liwicki Départment d'informatique Université de Fribourg, 2016 | 14* | 2016 |
| A pitfall of unsupervised pre-training M Alberti, M Seuret, R Ingold, M Liwicki arXiv preprint arXiv:1703.04332, 2017 | 11* | 2017 |
| Historical document synthesis with generative adversarial networks V Pondenkandath, M Alberti, M Diatta, R Ingold, M Liwicki 2019 International Conference on Document Analysis and Recognition Workshops …, 2019 | 10 | 2019 |
| Overview of Artificial Intelligence for Card Games and Its Application to the Swiss Game Jass J Niklaus, M Alberti, V Pondenkandath, R Ingold, M Liwicki 2019 6th Swiss Conference on Data Science (SDS), 25-30, 2019 | 9 | 2019 |
| Identifying cross-depicted historical motifs V Pondenkandath, M Alberti, N Eichenberger, R Ingold, M Liwicki 2018 16th International Conference on Frontiers in Handwriting Recognition …, 2018 | 9 | 2018 |
| Layout analysis and text column segmentation for historical Vietnamese steles A Scius-Bertrand, L Voegtlin, M Alberti, A Fischer, M Bui Proceedings of the 5th International Workshop on Historical Document Imaging …, 2019 | 7 | 2019 |
| Improving Reproducible Deep Learning Workflows with DeepDIVA M Alberti, V Pondenkandath, L Vögtlin, M Würsch, R Ingold, M Liwicki 2019 6th Swiss Conference on Data Science (SDS), 13-18, 2019 | 6 | 2019 |
| Leveraging random label memorization for unsupervised pre-training V Pondenkandath, M Alberti, S Puran, R Ingold, M Liwicki arXiv preprint arXiv:1811.01640, 2018 | 5 | 2018 |
| Cross-Depicted Historical Motif Categorization and Retrieval with Deep Learning V Pondenkandath, M Alberti, N Eichenberger, R Ingold, M Liwicki Journal of Imaging 6 (7), 71, 2020 | 3 | 2020 |
| Trainable Spectrally Initializable Matrix Transformations in Convolutional Neural Networks M Alberti, A Botros, N Schütz, R Ingold, M Liwicki, M Seuret arXiv preprint arXiv:1911.05045, 2019 | 3 | 2019 |
Marcus LiwickiLuleå University of Technology, EISLAB, Machine Learning, SwedenVerified email at ltu.se
