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2020 – today
- 2024
[j6]Alexander Mattick, Martin Mayr, Mathias Seuret, Florian Kordon, Fei Wu
, Vincent Christlein:
Evaluating learned feature aggregators for writer retrieval. Int. J. Document Anal. Recognit. 27(3): 265-274 (2024)- [c51]Florian Kordon, Nikolaus Weichselbaumer, Randall Herz, Janne van der Loop, Stephen Mossman, Edward Potten, Mathias Seuret, Martin Mayr, Fei Wu, Vincent Christlein:
fang: Fast Annotation of Glyphs in Historical Printed Documents. DAS 2024: 377-392 - [c50]Janne van der Loop, Florian Kordon, Martin Mayr, Vincent Christlein, Fei Wu, Dalia Rodríguez-Salas, Nikolaus Weichselbaumer, Mathias Seuret:
ICDAR 2024 Competition on Multi Font Group Recognition and OCR. ICDAR (6) 2024: 381-396 - [i22]Richin Sukesh, Mathias Seuret, Anguelos Nicolaou, Martin Mayr, Vincent Christlein:
A Fair Evaluation of Various Deep Learning-Based Document Image Binarization Approaches. CoRR abs/2401.11831 (2024) - [i21]Martin Mayr, Marcel Dreier, Florian Kordon, Mathias Seuret, Jochen Zöllner, Fei Wu, Andreas Maier, Vincent Christlein:
Zero-Shot Paragraph-level Handwriting Imitation with Latent Diffusion Models. CoRR abs/2409.00786 (2024) - 2023
- [j5]Florian Kordon, Nikolaus Weichselbaumer, Randall Herz, Stephen Mossman, Edward Potten, Mathias Seuret, Martin Mayr, Vincent Christlein:
Classification of incunable glyphs and out-of-distribution detection with joint energy-based models. Int. J. Document Anal. Recognit. 26(3): 223-240 (2023) - [c49]Benjamin Schuster, Florian Kordon, Martin Mayr, Mathias Seuret, Stefanie Jost, Josef Kessler, Vincent Christlein:
Multi-stage Fine-Tuning Deep Learning Models Improves Automatic Assessment of the Rey-Osterrieth Complex Figure Test. ICDAR (1) 2023: 3-19 - [c48]Guillaume Carrière, Konstantina Nikolaidou, Florian Kordon, Martin Mayr, Mathias Seuret, Vincent Christlein:
Beyond Human Forgeries: An Investigation into Detecting Diffusion-Generated Handwriting. ICDAR Workshops (1) 2023: 5-19 - [c47]Johan Zenk, Florian Kordon, Martin Mayr, Mathias Seuret, Vincent Christlein:
Investigations on Self-supervised Learning for Script-, Font-type, and Location Classification on Historical Documents. HIP@ICDAR 2023: 97-102 - [c46]Mathias Seuret, Janne van der Loop, Nikolaus Weichselbaumer, Martin Mayr, Janina Molnar, Tatjana Hass, Vincent Christlein:
Combining OCR Models for Reading Early Modern Books. ICDAR (5) 2023: 342-357 - [c45]Konstantina Nikolaidou, George Retsinas, Vincent Christlein, Mathias Seuret, Giorgos Sfikas, Elisa Barney Smith, Hamam Mokayed, Marcus Liwicki:
WordStylist: Styled Verbatim Handwritten Text Generation with Latent Diffusion Models. ICDAR (2) 2023: 384-401 - [c44]Mathias Seuret, Isabelle Marthot-Santaniello, Stephen A. White, Olga Serbaeva Saraogi, Selaudin Agolli, Guillaume Carrière, Dalia Rodríguez-Salas, Vincent Christlein:
ICDAR 2023 Competition on Detection and Recognition of Greek Letters on Papyri. ICDAR (2) 2023: 498-507 - [c43]Dalia Rodríguez-Salas, Mathias Öttl, Mathias Seuret, Kai Packhäuser, Andreas Maier:
Using Forestnets for Partial Fine-Tuning Prior to Breast Cancer Detection in Ultrasounds. ISBI 2023: 1-5 - [d7]Mathias Seuret, Anguelos Nicolau, Dalia Rodríguez-Salas, Nikolaus Weichselbaumer, Dominique Stutzmann, Martin Mayr, Andreas Maier, Vincent Christlein:
ICDAR 2021 Historical Document Classification Test Dataset for Task 3 - Location. Zenodo, 2023
- [i20]Konstantina Nikolaidou, George Retsinas, Vincent Christlein, Mathias Seuret, Giorgos Sfikas, Elisa Barney Smith, Hamam Mokayed, Marcus Liwicki:
WordStylist: Styled Verbatim Handwritten Text Generation with Latent Diffusion Models. CoRR abs/2303.16576 (2023) - [i19]Mathias Seuret, Janne van der Loop, Nikolaus Weichselbaumer, Martin Mayr, Janina Molnar, Tatjana Hass, Florian Kordon, Anguelos Nicolau, Vincent Christlein:
Combining OCR Models for Reading Early Modern Printed Books. CoRR abs/2305.07131 (2023) - 2022
- [j4]Konstantina Nikolaidou, Mathias Seuret, Hamam Mokayed, Marcus Liwicki:
A survey of historical document image datasets. Int. J. Document Anal. Recognit. 25(4): 305-338 (2022) - [c42]Amir El-Ghoussani, Dalia Rodríguez-Salas, Mathias Seuret, Andreas K. Maier:
GAN-based Augmentation of Mammograms to Improve Breast Lesion Detection. Bildverarbeitung für die Medizin 2022: 321-326 - [c41]Anguelos Nicolaou, Vincent Christlein, Edgar Riba, Jian Shi, Georg Vogeler, Mathias Seuret:
TorMentor: Deterministic dynamic-path, data augmentations with fractals. CVPR Workshops 2022: 2706-2710 - [c40]Konstantina Nikolaidou, Richa Upadhyay, Mathias Seuret, Marcus Liwicki:
Investigating the Effect of Using Synthetic and Semi-synthetic Images for Historical Document Font Classification. DAS 2022: 613-626 - [c39]Richin Sukesh, Mathias Seuret, Anguelos Nicolaou, Martin Mayr, Vincent Christlein:
A Fair Evaluation of Various Deep Learning-Based Document Image Binarization Approaches. DAS 2022: 771-785 - [c38]Vincent Christlein, Isabelle Marthot-Santaniello, Martin Mayr, Anguelos Nicolaou, Mathias Seuret:
Writer Retrieval and Writer Identification in Greek Papyri. IGS 2022: 76-89 - [i18]Konstantina Nikolaidou, Mathias Seuret, Hamam Mokayed, Marcus Liwicki:
A Survey of Historical Document Image Datasets. CoRR abs/2203.08504 (2022) - [i17]Anguelos Nicolaou, Vincent Christlein, Edgar Riba, Jian Shi, Georg Vogeler, Mathias Seuret:
TorMentor: Deterministic dynamic-path, data augmentations with fractals. CoRR abs/2204.03776 (2022) - [i16]Vincent Christlein, Isabelle Marthot-Santaniello, Martin Mayr, Anguelos Nicolaou, Mathias Seuret:
Writer Retrieval and Writer Identification in Greek Papyri. CoRR abs/2212.07664 (2022) - 2021
- [c37]Dalia Rodríguez-Salas, Mathias Seuret, Sulaiman Vesal, Andreas Maier:
Ultrasound Breast Lesion Detection using Extracted Attention Maps from a Weakly Supervised Convolutional Neural Network. Bildverarbeitung für die Medizin 2021: 282-287 - [c36]Alexander Mattick, Martin Mayr, Mathias Seuret, Andreas Maier, Vincent Christlein:
SmartPatch: Improving Handwritten Word Imitation with Patch Discriminators. ICDAR (1) 2021: 268-283 - [c35]Mathias Seuret, Anguelos Nicolaou, Dalia Rodríguez-Salas, Nikolaus Weichselbaumer, Dominique Stutzmann, Martin Mayr, Andreas Maier, Vincent Christlein:
ICDAR 2021 Competition on Historical Document Classification. ICDAR (4) 2021: 618-634 - [d6]Mathias Seuret, Anguelos Nicolau, Dalia Rodríguez-Salas, Nikolaus Weichselbaumer, Dominique Stutzmann, Martin Mayr, Andreas Maier, Vincent Christlein:
ICDAR 2021 Historical Document Classification Test Dataset for Task 1 - Font Groups. Zenodo, 2021 - [d5]Mathias Seuret, Anguelos Nicolau, Dalia Rodríguez-Salas, Nikolaus Weichselbaumer, Dominique Stutzmann, Martin Mayr, Andreas Maier, Vincent Christlein:
ICDAR 2021 Historical Document Classification Test Dataset for Task 1 - Scripts. Zenodo, 2021 - [d4]Mathias Seuret, Anguelos Nicolau, Dalia Rodríguez-Salas, Nikolaus Weichselbaumer, Dominique Stutzmann, Martin Mayr, Andreas Maier, Vincent Christlein:
ICDAR 2021 Historical Document Classification Dataset for Task 2 - Dating. Zenodo, 2021 - [d3]Mathias Seuret, Anguelos Nicolau, Dalia Rodríguez-Salas, Nikolaus Weichselbaumer, Dominique Stutzmann, Martin Mayr, Andreas Maier, Vincent Christlein:
ICDAR 2021 Historical Document Classification Dataset for Task 3 - Location. Zenodo, 2021 - [i15]Alexander Mattick, Martin Mayr, Mathias Seuret, Andreas Maier, Vincent Christlein:
SmartPatch: Improving Handwritten Word Imitation with Patch Discriminators. CoRR abs/2105.10528 (2021) - 2020
- [j3]Dalia Rodríguez-Salas, Nina Mürschberger, Nishant Ravikumar, Mathias Seuret, Andreas Maier:
Mapping Ensembles of Trees to Sparse, Interpretable Multilayer Perceptron Networks. SN Comput. Sci. 1(5): 252 (2020) - [c34]Martin Leipert, Georg Vogeler, Mathias Seuret, Andreas K. Maier, Vincent Christlein:
The Notary in the Haystack - Countering Class Imbalance in Document Processing with CNNs. DAS 2020: 246-261 - [c33]Simon Jordan, Mathias Seuret, Pavel Král, Ladislav Lenc, Jirí Martínek, Barbara Wiermann, Tobias Schwinger, Andreas K. Maier, Vincent Christlein:
Re-Ranking for Writer Identification and Writer Retrieval. DAS 2020: 572-586 - [c32]Nikolaus Weichselbaumer, Mathias Seuret, Saskia Limbach, Lena Hinrichsen, Andreas K. Maier, Vincent Christlein:
The rapid rise of Fraktur. DHd 2020 - [c31]Martin Mayr, Martin Stumpf, Anguelos Nicolaou, Mathias Seuret, Andreas Maier, Vincent Christlein:
Spatio-Temporal Handwriting Imitation. ECCV Workshops (5) 2020: 528-543 - [c30]Vincent Christlein, Mathias Seuret, Nikolaus Weichselbaumer:
Proof of Concept. GI-Jahrestagung 2020: 1307-1316 - [c29]Mathias Seuret, Anguelos Nicolaou, Andreas Maier, Vincent Christlein, Dominique Stutzmann:
ICFHR 2020 Competition on Image Retrieval for Historical Handwritten Fragments. ICFHR 2020: 216-221 - [c28]Michele Alberti, Angela Botros, Narayan Schütz, Rolf Ingold, Marcus Liwicki, Mathias Seuret:
Trainable Spectrally Initializable Matrix Transformations in Convolutional Neural Networks. ICPR 2020: 8204-8211 - [i14]Martin Mayr, Martin Stumpf, Anguelos Nicolaou, Mathias Seuret, Andreas K. Maier, Vincent Christlein:
Spatio-Temporal Handwriting Imitation. CoRR abs/2003.10593 (2020) - [i13]Simon Jordan, Mathias Seuret, Pavel Král, Ladislav Lenc, Jirí Martínek, Barbara Wiermann, Tobias Schwinger, Andreas K. Maier, Vincent Christlein:
Re-ranking for Writer Identification and Writer Retrieval. CoRR abs/2007.07101 (2020) - [i12]Vincent Christlein, Nikolaus Weichselbaumer, Saskia Limbach, Mathias Seuret:
Proof of Concept: Automatic Type Recognition. CoRR abs/2007.07690 (2020) - [i11]Martin Leipert, Georg Vogeler, Mathias Seuret, Andreas K. Maier, Vincent Christlein:
The Notary in the Haystack - Countering Class Imbalance in Document Processing with CNNs. CoRR abs/2007.07943 (2020) - [i10]Mathias Seuret, Anguelos Nicolaou, Dominique Stutzmann, Andreas Maier, Vincent Christlein:
ICFHR 2020 Competition on Image Retrieval for Historical Handwritten Fragments. CoRR abs/2010.10197 (2020)
2010 – 2019
- 2019
- [c27]Dalia Rodríguez-Salas, Nishant Ravikumar, Mathias Seuret, Andreas Maier:
ForestNet - Automatic Design of Sparse Multilayer Perceptron Network Architectures Using Ensembles of Randomized Trees. ACPR (1) 2019: 32-45 - [c26]Nikolaus Weichselbaumer, Mathias Seuret, Saskia Limbach, Vincent Christlein, Andreas Maier:
Automatic Font Group Recognition in Early Printed Books. DHd 2019 - [c25]Mathias Seuret, Saskia Limbach, Nikolaus Weichselbaumer, Andreas Maier, Vincent Christlein:
Dataset of Pages from Early Printed Books with Multiple Font Groups. HIP@ICDAR 2019: 1-6 - [c24]Vincent Christlein, Lukas Spranger, Mathias Seuret, Anguelos Nicolaou, Pavel Král, Andreas Maier:
Deep Generalized Max Pooling. ICDAR 2019: 1090-1096 - [c23]Michele Alberti, Lars Vögtlin, Vinaychandran Pondenkandath, Mathias Seuret, Rolf Ingold, Marcus Liwicki:
Labeling, Cutting, Grouping: An Efficient Text Line Segmentation Method for Medieval Manuscripts. ICDAR 2019: 1200-1206 - [c22]Vincent Christlein, Anguelos Nicolaou, Mathias Seuret, Dominique Stutzmann, Andreas Maier:
ICDAR 2019 Competition on Image Retrieval for Historical Handwritten Documents. ICDAR 2019: 1505-1509 - [d2]Vincent Christlein, Anguelos Nicolaou, Mathias Seuret, Dominique Stutzmann, Andreas Maier:
ICDAR 2019 Competition on Image Retrieval for Historical Handwritten Documents [HisIR19] Dataset. Zenodo, 2019 - [d1]Mathias Seuret, Saskia Limbach, Nikolaus Weichselbaumer, Andreas Maier, Vincent Christlein:
Dataset of Pages from Early Printed Books with Multiple Font Groups. Zenodo, 2019 - [i9]Michele Alberti, Lars Vögtlin, Vinaychandran Pondenkandath, Mathias Seuret, Rolf Ingold, Marcus Liwicki:
Labeling, Cutting, Grouping: an Efficient Text Line Segmentation Method for Medieval Manuscripts. CoRR abs/1906.11894 (2019) - [i8]Vincent Christlein, Lukas Spranger, Mathias Seuret, Anguelos Nicolaou, Pavel Král, Andreas Maier:
Deep Generalized Max Pooling. CoRR abs/1908.05040 (2019) - [i7]Michele Alberti, Angela Botros, Narayan Schütz, Rolf Ingold, Marcus Liwicki, Mathias Seuret:
Trainable Spectrally Initializable Matrix Transformations in Convolutional Neural Networks. CoRR abs/1911.05045 (2019) - [i6]Vincent Christlein, Anguelos Nicolaou, Mathias Seuret, Dominique Stutzmann, Andreas Maier:
ICDAR 2019 Competition on Image Retrieval for Historical Handwritten Documents. CoRR abs/1912.03713 (2019) - 2018
- [c21]Mathias Seuret, Manuel Bouillon, Fotini Simistira, Marcel Würsch, Marcus Liwicki, Rolf Ingold:
A Semi-automatized Modular Annotation Tool for Ancient Manuscript Annotation. DAS 2018: 340-344 - [c20]Michele Alberti, Vinaychandran Pondenkandath, Marcel Würsch, Manuel Bouillon, Mathias Seuret, Rolf Ingold, Marcus Liwicki:
Are You Tampering with My Data? ECCV Workshops (2) 2018: 296-312 - [i5]Michele Alberti, Vinaychandran Pondenkandath, Marcel Würsch, Manuel Bouillon, Mathias Seuret, Rolf Ingold, Marcus Liwicki:
Are You Tampering With My Data? CoRR abs/1808.06809 (2018) - 2017
- [j2]Hao Wei, Mathias Seuret, Marcus Liwicki, Rolf Ingold:
The use of Gabor features for semi-automatically generated polyon-based ground truth of historical document images. Digit. Scholarsh. Humanit. 32(suppl_1): i134-i149 (2017) - [j1]Angelika Garz, Mathias Seuret, Andreas Fischer, Rolf Ingold:
A User-Centered Segmentation Method for Complex Historical Manuscripts Based on Document Graphs. IEEE Trans. Hum. Mach. Syst. 47(2): 181-193 (2017) - [c19]Vinaychandran Pondenkandath, Mathias Seuret, Rolf Ingold, Muhammad Zeshan Afzal, Marcus Liwicki:
Exploiting State-of-the-Art Deep Learning Methods for Document Image Analysis. WML@ICDAR 2017: 30-35 - [c18]Mathias Seuret, Daniel Stökl Ben Ezra, Marcus Liwicki:
Robust Heartbeat-based Line Segmentation Methods for Regular Texts and Paratextual Elements. HIP@ICDAR 2017: 71-76 - [c17]Michele Alberti, Mathias Seuret, Vinaychandran Pondenkandath, Rolf Ingold, Marcus Liwicki:
Historical Document Image Segmentation with LDA-Initialized Deep Neural Networks. HIP@ICDAR 2017: 95-100 - [c16]Hao Wei, Mathias Seuret, Marcus Liwicki, Rolf Ingold, Pei Fu:
Selecting Fine-Tuned Features for Layout Analysis of Historical Documents. ICDAR 2017: 281-286 - [c15]Mathias Seuret, Michele Alberti, Marcus Liwicki, Rolf Ingold:
PCA-Initialized Deep Neural Networks Applied to Document Image Analysis. ICDAR 2017: 877-882 - [c14]Kai Chen, Mathias Seuret, Jean Hennebert, Rolf Ingold:
Convolutional Neural Networks for Page Segmentation of Historical Document Images. ICDAR 2017: 965-970 - [c13]Fotini Simistira, Manuel Bouillon, Mathias Seuret, Marcel Würsch, Michele Alberti, Rolf Ingold, Marcus Liwicki:
ICDAR2017 Competition on Layout Analysis for Challenging Medieval Manuscripts. ICDAR 2017: 1361-1370 - [i4]Mathias Seuret, Michele Alberti, Rolf Ingold, Marcus Liwicki:
PCA-Initialized Deep Neural Networks Applied To Document Image Analysis. CoRR abs/1702.00177 (2017) - [i3]Michele Alberti, Mathias Seuret, Rolf Ingold, Marcus Liwicki:
What You Expect is NOT What You Get! Questioning Reconstruction/Classification Correlation of Stacked Convolutional Auto-Encoder Features. CoRR abs/1703.04332 (2017) - [i2]Kai Chen, Mathias Seuret:
Convolutional Neural Networks for Page Segmentation of Historical Document Images. CoRR abs/1704.01474 (2017) - [i1]Michele Alberti, Mathias Seuret, Vinaychandran Pondenkandath, Rolf Ingold, Marcus Liwicki:
Historical Document Image Segmentation with LDA-Initialized Deep Neural Networks. CoRR abs/1710.07363 (2017) - 2016
- [c12]Oussama Zayene, Mathias Seuret, Sameh Masmoudi Touj, Jean Hennebert, Rolf Ingold, Najoua Essoukri Ben Amara:
Text Detection in Arabic News Video Based on SWT Operator and Convolutional Auto-Encoders. DAS 2016: 13-18 - [c11]Angelika Garz, Mathias Seuret, Fotini Simistira, Andreas Fischer, Rolf Ingold:
Creating Ground Truth for Historical Manuscripts with Document Graphs and Scribbling Interaction. DAS 2016: 126-131 - [c10]Kai Chen, Cheng-Lin Liu, Mathias Seuret, Marcus Liwicki, Jean Hennebert, Rolf Ingold:
Page Segmentation for Historical Document Images Based on Superpixel Classification with Unsupervised Feature Learning. DAS 2016: 299-304 - [c9]Kai Chen, Mathias Seuret, Marcus Liwicki, Jean Hennebert, Cheng-Lin Liu, Rolf Ingold:
Page Segmentation for Historical Handwritten Document Images Using Conditional Random Fields. ICFHR 2016: 90-95 - [c8]Mathias Seuret, Rolf Ingold, Marcus Liwicki:
N-Light-N: A Highly-Adaptable Java Library for Document Analysis with Convolutional Auto-Encoders and Related Architectures. ICFHR 2016: 459-464 - [c7]Fotini Simistira, Mathias Seuret, Nicole Eichenberger, Angelika Garz, Marcus Liwicki, Rolf Ingold:
DIVA-HisDB: A Precisely Annotated Large Dataset of Challenging Medieval Manuscripts. ICFHR 2016: 471-476 - 2015
- [c6]Kai Chen, Mathias Seuret, Hao Wei, Marcus Liwicki, Jean Hennebert, Rolf Ingold:
Ground truth model, tool, and dataset for layout analysis of historical documents. DRR 2015: 940204 - [c5]Hao Wei, Mathias Seuret, Kai Chen, Andreas Fischer, Marcus Liwicki, Rolf Ingold:
Selecting Autoencoder Features for Layout Analysis of Historical Documents. HIP@ICDAR 2015: 55-62 - [c4]Mathias Seuret, Andreas Fischer, Angelika Garz, Marcus Liwicki, Rolf Ingold:
Clustering Historical Documents Based on the Reconstruction Error of Autoencoders. HIP@ICDAR 2015: 85-91 - [c3]Mathias Seuret, Kai Chen, Nicole Eichenberger, Marcus Liwicki, Rolf Ingold:
Gradient-domain degradations for improving historical documents images layout analysis. ICDAR 2015: 1006-1010 - [c2]Kai Chen, Mathias Seuret, Marcus Liwicki, Jean Hennebert, Rolf Ingold:
Page segmentation of historical document images with convolutional autoencoders. ICDAR 2015: 1011-1015 - 2014
- [c1]Mathias Seuret, Marcus Liwicki, Rolf Ingold:
Pixel Level Handwritten and Printed Content Discrimination in Scanned Documents. ICFHR 2014: 423-428
Coauthor Index
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