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06/24/2023
Efficient Annotation of Medieval Charters
Diplomatics, the analysis of medieval charters, is a major field of rese...
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05/11/2023
Combining OCR Models for Reading Early Modern Printed Books
In this paper, we investigate the usage of fine-grained font recognition...
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03/29/2023
WordStylist: Styled Verbatim Handwritten Text Generation with Latent Diffusion Models
Text-to-Image synthesis is the task of generating an image according to ...
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12/15/2022
Writer Retrieval and Writer Identification in Greek Papyri
The analysis of digitized historical manuscripts is typically addressed ...
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05/30/2022
Exploring the Open World Using Incremental Extreme Value Machines
Dynamic environments require adaptive applications. One particular machi...
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04/07/2022
TorMentor: Deterministic dynamic-path, data augmentations with fractals
We propose the use of fractals as a means of efficient data augmentation...
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04/21/2021
How Will Your Tweet Be Received? Predicting the Sentiment Polarity of Tweet Replies
Twitter sentiment analysis, which often focuses on predicting the polari...
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07/15/2020
Proof of Concept: Automatic Type Recognition
The type used to print an early modern book can give scholars valuable i...
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12/08/2019
ICDAR 2019 Competition on Image Retrieval for Historical Handwritten Documents
This competition investigates the performance of large-scale retrieval o...
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08/14/2019
Deep Generalized Max Pooling
Global pooling layers are an essential part of Convolutional Neural Netw...
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07/19/2019
Fast and robust detection of solar modules in electroluminescence images
Fast, non-destructive and on-site quality control tools, mainly high sen...
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07/08/2018
Automatic Classification of Defective Photovoltaic Module Cells in Electroluminescence Images
Electroluminescence (EL) imaging is a useful modality for the inspection...
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06/28/2018
Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction
Deep learning approaches have shown promising performance for compressed...
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06/19/2018
Non-deterministic Behavior of Ranking-based Metrics when Evaluating Embeddings
Embedding data into vector spaces is a very popular strategy of pattern ...
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01/29/2018
Hyper-Hue and EMAP on Hyperspectral Images for Supervised Layer Decomposition of Old Master Drawings
Old master drawings were mostly created step by step in several layers u...
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01/12/2018
Deep Learning for Sampling from Arbitrary Probability Distributions
This paper proposes a fully connected neural network model to map sample...
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12/21/2017
Encoding CNN Activations for Writer Recognition
The encoding of local features is an essential part for writer identific...
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12/12/2017
Image Registration for the Alignment of Digitized Historical Documents
In this work, we conducted a survey on different registration algorithms...
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12/10/2017
Sketch Layer Separation in Multi-Spectral Historical Document Images
High-resolution imaging has delivered new prospects for detecting the ma...
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05/25/2017
Unsupervised Feature Learning for Writer Identification and Writer Retrieval
Deep Convolutional Neural Networks (CNN) have shown great success in sup...
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08/17/2012