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01/20/2022
DIVA-DAF: A Deep Learning Framework for Historical Document Image Analysis
In this paper, we introduce a new deep learning framework called DIVA-DA...
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03/15/2021
Generating Synthetic Handwritten Historical Documents With OCR Constrained GANs
We present a framework to generate synthetic historical documents with p...
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03/11/2021
Document Towers: A MATLAB software implementing a three-dimensional architectural paradigm for the visual exploration of digital documents and libraries
This article introduces the generic Document Towers paradigm, visualizat...
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06/25/2019
Graph-Based Offline Signature Verification
Graphs provide a powerful representation formalism that offers great pro...
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06/11/2019
Improving Reproducible Deep Learning Workflows with DeepDIVA
The field of deep learning is experiencing a trend towards producing rep...
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06/11/2019
Survey of Artificial Intelligence for Card Games and Its Application to the Swiss Game Jass
In the last decades we have witnessed the success of applications of Art...
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05/22/2019
A Comprehensive Study of ImageNet Pre-Training for Historical Document Image Analysis
Automatic analysis of scanned historical documents comprises a wide rang...
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11/05/2018
Leveraging Random Label Memorization for Unsupervised Pre-Training
We present a novel approach to leverage large unlabeled datasets by pre-...
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10/17/2018
Offline Signature Verification by Combining Graph Edit Distance and Triplet Networks
Biometric authentication by means of handwritten signatures is a challen...
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08/21/2018
Are You Tampering With My Data?
We propose a novel approach towards adversarial attacks on neural networ...
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04/23/2018
DeepDIVA: A Highly-Functional Python Framework for Reproducible Experiments
We introduce DeepDIVA: an infrastructure designed to enable quick and in...
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04/05/2018
Identifying Cross-Depicted Historical Motifs
Cross-depiction is the problem of identifying the same object even when ...
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11/23/2017
Open Evaluation Tool for Layout Analysis of Document Images
This paper presents an open tool for standardizing the evaluation proces...
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11/23/2017
A Pitfall of Unsupervised Pre-Training
The point of this paper is to question typical assumptions in deep learn...
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10/19/2017
Historical Document Image Segmentation with LDA-Initialized Deep Neural Networks
In this paper, we present a novel approach to perform deep neural networ...
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03/13/2017
What You Expect is NOT What You Get! Questioning Reconstruction/Classification Correlation of Stacked Convolutional Auto-Encoder Features
In this paper, we thoroughly investigate the quality of features produce...
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02/01/2017
