Mathias Seuret

According to our database1, Mathias Seuret authored at least 37 papers between 2014 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Mapping Ensembles of Trees to Sparse, Interpretable Multilayer Perceptron Networks.
SN Comput. Sci., 2020

ICFHR 2020 Competition on Image Retrieval for Historical Handwritten Fragments.
CoRR, 2020

Proof of Concept: Automatic Type Recognition.
CoRR, 2020

Spatio-Temporal Handwriting Imitation.
CoRR, 2020

The Notary in the Haystack - Countering Class Imbalance in Document Processing with CNNs.
Proceedings of the Document Analysis Systems - 14th IAPR International Workshop, 2020

Re-Ranking for Writer Identification and Writer Retrieval.
Proceedings of the Document Analysis Systems - 14th IAPR International Workshop, 2020

2019
Trainable Spectrally Initializable Matrix Transformations in Convolutional Neural Networks.
CoRR, 2019

Dataset of Pages from Early Printed Books with Multiple Font Groups.
Proceedings of the 5th International Workshop on Historical Document Imaging and Processing, 2019

Deep Generalized Max Pooling.
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

ICDAR 2019 Competition on Image Retrieval for Historical Handwritten Documents.
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

Labeling, Cutting, Grouping: An Efficient Text Line Segmentation Method for Medieval Manuscripts.
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

ForestNet - Automatic Design of Sparse Multilayer Perceptron Network Architectures Using Ensembles of Randomized Trees.
Proceedings of the Pattern Recognition - 5th Asian Conference, 2019

2018
Are You Tampering with My Data?
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

A Semi-automatized Modular Annotation Tool for Ancient Manuscript Annotation.
Proceedings of the 13th IAPR International Workshop on Document Analysis Systems, 2018

2017
A User-Centered Segmentation Method for Complex Historical Manuscripts Based on Document Graphs.
IEEE Trans. Hum. Mach. Syst., 2017

The use of Gabor features for semi-automatically generated polyon-based ground truth of historical document images.
Digit. Scholarsh. Humanit., 2017

What You Expect is NOT What You Get! Questioning Reconstruction/Classification Correlation of Stacked Convolutional Auto-Encoder Features.
CoRR, 2017

Convolutional Neural Networks for Page Segmentation of Historical Document Images.
CoRR, 2017

Selecting Fine-Tuned Features for Layout Analysis of Historical Documents.
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017

ICDAR2017 Competition on Layout Analysis for Challenging Medieval Manuscripts.
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017

Robust Heartbeat-based Line Segmentation Methods for Regular Texts and Paratextual Elements.
Proceedings of the 4th International Workshop on Historical Document Imaging and Processing, 2017

PCA-Initialized Deep Neural Networks Applied to Document Image Analysis.
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017

Exploiting State-of-the-Art Deep Learning Methods for Document Image Analysis.
Proceedings of the First Workshop of Machine Learning, 2017

Historical Document Image Segmentation with LDA-Initialized Deep Neural Networks.
Proceedings of the 4th International Workshop on Historical Document Imaging and Processing, 2017

Convolutional Neural Networks for Page Segmentation of Historical Document Images.
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017

2016
DIVA-HisDB: A Precisely Annotated Large Dataset of Challenging Medieval Manuscripts.
Proceedings of the 15th International Conference on Frontiers in Handwriting Recognition, 2016

N-Light-N: A Highly-Adaptable Java Library for Document Analysis with Convolutional Auto-Encoders and Related Architectures.
Proceedings of the 15th International Conference on Frontiers in Handwriting Recognition, 2016

Page Segmentation for Historical Handwritten Document Images Using Conditional Random Fields.
Proceedings of the 15th International Conference on Frontiers in Handwriting Recognition, 2016

Text Detection in Arabic News Video Based on SWT Operator and Convolutional Auto-Encoders.
Proceedings of the 12th IAPR Workshop on Document Analysis Systems, 2016

Creating Ground Truth for Historical Manuscripts with Document Graphs and Scribbling Interaction.
Proceedings of the 12th IAPR Workshop on Document Analysis Systems, 2016

Page Segmentation for Historical Document Images Based on Superpixel Classification with Unsupervised Feature Learning.
Proceedings of the 12th IAPR Workshop on Document Analysis Systems, 2016

2015
Selecting Autoencoder Features for Layout Analysis of Historical Documents.
Proceedings of the 3rd International Workshop on Historical Document Imaging and Processing, 2015

Clustering Historical Documents Based on the Reconstruction Error of Autoencoders.
Proceedings of the 3rd International Workshop on Historical Document Imaging and Processing, 2015

Gradient-domain degradations for improving historical documents images layout analysis.
Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015

Page segmentation of historical document images with convolutional autoencoders.
Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015

Ground truth model, tool, and dataset for layout analysis of historical documents.
Proceedings of the Document Recognition and Retrieval XXII, 2015

2014
Pixel Level Handwritten and Printed Content Discrimination in Scanned Documents.
Proceedings of the 14th International Conference on Frontiers in Handwriting Recognition, 2014


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