Mathias Seuret

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 69

Top Topics

Convolutional Neural Networks

Document Images

Page Segmentation

Historical Documents

Top Venues

Publications

Richin Sukesh, Mathias Seuret, Anguelos Nicolaou, Martin Mayr, Vincent Christlein
A Fair Evaluation of Various Deep Learning-Based Document Image Binarization Approaches. CoRR (2024)
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) (2023)
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)
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)
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)
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 (2023)
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)
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)
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 (2023)
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)
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)
Konstantina Nikolaidou, Mathias Seuret, Hamam Mokayed, Marcus Liwicki
A Survey of Historical Document Image Datasets. CoRR (2022)
Anguelos Nicolaou, Vincent Christlein, Edgar Riba, Jian Shi, Georg Vogeler, Mathias Seuret
TorMentor: Deterministic dynamic-path, data augmentations with fractals. CoRR (2022)
Richin Sukesh, Mathias Seuret, Anguelos Nicolaou, Martin Mayr, Vincent Christlein
A Fair Evaluation of Various Deep Learning-Based Document Image Binarization Approaches. DAS (2022)
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)
Vincent Christlein, Isabelle Marthot-Santaniello, Martin Mayr, Anguelos Nicolaou, Mathias Seuret
Writer Retrieval and Writer Identification in Greek Papyri. CoRR (2022)
Vincent Christlein, Isabelle Marthot-Santaniello, Martin Mayr, Anguelos Nicolaou, Mathias Seuret
Writer Retrieval and Writer Identification in Greek Papyri. IGS (2022)
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)
Anguelos Nicolaou, Vincent Christlein, Edgar Riba, Jian Shi, Georg Vogeler, Mathias Seuret
TorMentor: Deterministic dynamic-path, data augmentations with fractals. CVPR Workshops (2022)
Konstantina Nikolaidou, Mathias Seuret, Hamam Mokayed, Marcus Liwicki
A survey of historical document image datasets. Int. J. Document Anal. Recognit. 25 (4) (2022)
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)
Alexander Mattick, Martin Mayr, Mathias Seuret, Andreas Maier, Vincent Christlein
SmartPatch: Improving Handwritten Word Imitation with Patch Discriminators. ICDAR (1) (2021)
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)
Alexander Mattick, Martin Mayr, Mathias Seuret, Andreas Maier, Vincent Christlein
SmartPatch: Improving Handwritten Word Imitation with Patch Discriminators. CoRR (2021)
Nikolaus Weichselbaumer, Mathias Seuret, Saskia Limbach, Lena Hinrichsen, Andreas K. Maier, Vincent Christlein
The rapid rise of Fraktur. DHd (2020)
Mathias Seuret, Anguelos Nicolaou, Andreas Maier, Vincent Christlein, Dominique Stutzmann
ICFHR 2020 Competition on Image Retrieval for Historical Handwritten Fragments. ICFHR (2020)
Michele Alberti, Angela Botros, Narayan Schütz, Rolf Ingold, Marcus Liwicki, Mathias Seuret
Trainable Spectrally Initializable Matrix Transformations in Convolutional Neural Networks. ICPR (2020)
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) (2020)
Martin Mayr, Martin Stumpf, Anguelos Nicolaou, Mathias Seuret, Andreas K. Maier, Vincent Christlein
Spatio-Temporal Handwriting Imitation. CoRR (2020)
Vincent Christlein, Mathias Seuret, Nikolaus Weichselbaumer
Proof of Concept. GI-Jahrestagung (2020)
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 (2020)
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)
Martin Mayr, Martin Stumpf, Anguelos Nicolaou, Mathias Seuret, Andreas Maier, Vincent Christlein
Spatio-Temporal Handwriting Imitation. ECCV Workshops (5) (2020)
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 (2020)
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)
Mathias Seuret, Anguelos Nicolaou, Dominique Stutzmann, Andreas Maier, Vincent Christlein
ICFHR 2020 Competition on Image Retrieval for Historical Handwritten Fragments. CoRR (2020)
Vincent Christlein, Nikolaus Weichselbaumer, Saskia Limbach, Mathias Seuret
Proof of Concept: Automatic Type Recognition. CoRR (2020)
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 (2019)
Vincent Christlein, Anguelos Nicolaou, Mathias Seuret, Dominique Stutzmann, Andreas Maier
ICDAR 2019 Competition on Image Retrieval for Historical Handwritten Documents. CoRR (2019)
Nikolaus Weichselbaumer, Mathias Seuret, Saskia Limbach, Vincent Christlein, Andreas Maier
Automatic Font Group Recognition in Early Printed Books. DHd (2019)
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)
Michele Alberti, Angela Botros, Narayan Schütz, Rolf Ingold, Marcus Liwicki, Mathias Seuret
Trainable Spectrally Initializable Matrix Transformations in Convolutional Neural Networks. CoRR (2019)
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)
Mathias Seuret, Saskia Limbach, Nikolaus Weichselbaumer, Andreas Maier, Vincent Christlein
Dataset of Pages from Early Printed Books with Multiple Font Groups. HIP@ICDAR (2019)
Vincent Christlein, Anguelos Nicolaou, Mathias Seuret, Dominique Stutzmann, Andreas Maier
ICDAR 2019 Competition on Image Retrieval for Historical Handwritten Documents. ICDAR (2019)
Vincent Christlein, Lukas Spranger, Mathias Seuret, Anguelos Nicolaou, Pavel Král, Andreas Maier
Deep Generalized Max Pooling. CoRR (2019)
Vincent Christlein, Lukas Spranger, Mathias Seuret, Anguelos Nicolaou, Pavel Král, Andreas Maier
Deep Generalized Max Pooling. ICDAR (2019)
Michele Alberti, Vinaychandran Pondenkandath, Marcel Würsch, Manuel Bouillon, Mathias Seuret, Rolf Ingold, Marcus Liwicki
Are You Tampering with My Data? ECCV Workshops (2) (2018)
Michele Alberti, Vinaychandran Pondenkandath, Marcel Würsch, Manuel Bouillon, Mathias Seuret, Rolf Ingold, Marcus Liwicki
Are You Tampering With My Data? CoRR (2018)
Mathias Seuret, Manuel Bouillon, Fotini Simistira, Marcel Würsch, Marcus Liwicki, Rolf Ingold
A Semi-automatized Modular Annotation Tool for Ancient Manuscript Annotation. DAS (2018)
Kai Chen, Mathias Seuret
Convolutional Neural Networks for Page Segmentation of Historical Document Images. CoRR (2017)
Mathias Seuret, Michele Alberti, Marcus Liwicki, Rolf Ingold
PCA-Initialized Deep Neural Networks Applied to Document Image Analysis. ICDAR (2017)
Michele Alberti, Mathias Seuret, Vinaychandran Pondenkandath, Rolf Ingold, Marcus Liwicki
Historical Document Image Segmentation with LDA-Initialized Deep Neural Networks. HIP@ICDAR (2017)
Kai Chen, Mathias Seuret, Jean Hennebert, Rolf Ingold
Convolutional Neural Networks for Page Segmentation of Historical Document Images. ICDAR (2017)
Hao Wei, Mathias Seuret, Marcus Liwicki, Rolf Ingold, Pei Fu
Selecting Fine-Tuned Features for Layout Analysis of Historical Documents. ICDAR (2017)
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)
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)
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) (2017)
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) (2017)
Mathias Seuret, Michele Alberti, Rolf Ingold, Marcus Liwicki
PCA-Initialized Deep Neural Networks Applied To Document Image Analysis. CoRR (2017)
Mathias Seuret, Daniel Stökl Ben Ezra, Marcus Liwicki
Robust Heartbeat-based Line Segmentation Methods for Regular Texts and Paratextual Elements. HIP@ICDAR (2017)
Michele Alberti, Mathias Seuret, Vinaychandran Pondenkandath, Rolf Ingold, Marcus Liwicki
Historical Document Image Segmentation with LDA-Initialized Deep Neural Networks. CoRR (2017)
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 (2017)
Angelika Garz, Mathias Seuret, Fotini Simistira, Andreas Fischer, Rolf Ingold
Creating Ground Truth for Historical Manuscripts with Document Graphs and Scribbling Interaction. DAS (2016)
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)
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)
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)
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)
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)
Hao Wei, Mathias Seuret, Kai Chen, Andreas Fischer, Marcus Liwicki, Rolf Ingold
Selecting Autoencoder Features for Layout Analysis of Historical Documents. HIP@ICDAR (2015)
Mathias Seuret, Andreas Fischer, Angelika Garz, Marcus Liwicki, Rolf Ingold
Clustering Historical Documents Based on the Reconstruction Error of Autoencoders. HIP@ICDAR (2015)
Kai Chen, Mathias Seuret, Marcus Liwicki, Jean Hennebert, Rolf Ingold
Page segmentation of historical document images with convolutional autoencoders. ICDAR (2015)
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)
Mathias Seuret, Kai Chen, Nicole Eichenberger, Marcus Liwicki, Rolf Ingold
Gradient-domain degradations for improving historical documents images layout analysis. ICDAR (2015)
Mathias Seuret, Marcus Liwicki, Rolf Ingold
Pixel Level Handwritten and Printed Content Discrimination in Scanned Documents. ICFHR (2014)