95 citations · 171 across the 16 of their papers we have counts for
16 papers
MultiSChuBERT: Effective Multimodal Fusion for Scholarly Document Quality Prediction
Gideon Maillette de Buy Wenniger, Thomas van Dongen, Lambert Schomaker
Automatic assessment of the quality of scholarly documents is a difficult task with high potential impact. Multimodality, in particular the addition of visual information next to t…
Writer adaptation for offline text recognition: An exploration of neural network-based methods
Tobias van der Werff, Maruf A. Dhali, Lambert Schomaker
Handwriting recognition has seen significant success with the use of deep learning. However, a persistent shortcoming of neural networks is that they are not well-equipped to deal…
Reinforcement Learning in Robotic Motion Planning by Combined Experience-based Planning and Self-Imitation Learning
Sha Luo, Lambert Schomaker
High-quality and representative data is essential for both Imitation Learning (IL)- and Reinforcement Learning (RL)-based motion planning tasks. For real robots, it is challenging…
Fusion-S2iGan: An Efficient and Effective Single-Stage Framework for Speech-to-Image Generation
Zhenxing Zhang, Lambert Schomaker
The goal of a speech-to-image transform is to produce a photo-realistic picture directly from a speech signal. Recently, various studies have focused on this task and have achieved…
The Effects of Character-Level Data Augmentation on Style-Based Dating of Historical Manuscripts
Lisa Koopmans, Maruf A. Dhali, Lambert Schomaker
Identifying the production dates of historical manuscripts is one of the main goals for paleographers when studying ancient documents. Automatized methods can provide paleographers…
Optimized latent-code selection for explainable conditional text-to-image GANs
Zhenxing Zhang, Lambert Schomaker
The task of text-to-image generation has achieved remarkable progress due to the advances in the conditional generative adversarial networks (GANs). However, existing conditional t…
Image-based material analysis of ancient historical documents
Thomas Reynolds, Maruf A. Dhali, Lambert Schomaker
Researchers continually perform corroborative tests to classify ancient historical documents based on the physical materials of their writing surfaces. However, these tests, often…
OptGAN: Optimizing and Interpreting the Latent Space of the Conditional Text-to-Image GANs
Zhenxing Zhang, Lambert Schomaker
Text-to-image generation intends to automatically produce a photo-realistic image, conditioned on a textual description. It can be potentially employed in the field of art creation…
DiverGAN: An Efficient and Effective Single-Stage Framework for Diverse Text-to-Image Generation
Zhenxing Zhang, Lambert Schomaker
In this paper, we present an efficient and effective single-stage framework (DiverGAN) to generate diverse, plausible and semantically consistent images according to a natural-lang…
Active learning for reducing labeling effort in text classification tasks
Pieter Floris Jacobs, Gideon Maillette de Buy Wenniger, Marco Wiering +1
Labeling data can be an expensive task as it is usually performed manually by domain experts. This is cumbersome for deep learning, as it is dependent on large labeled datasets. Ac…
A large-scale field test on word-image classification in large historical document collections using a traditional and two deep-learning methods
Lambert Schomaker
This technical report describes a practical field test on word-image classification in a very large collection of more than 300 diverse handwritten historical manuscripts, with 1.6…
No Padding Please: Efficient Neural Handwriting Recognition
Gideon Maillette de Buy Wenniger, Lambert Schomaker, Andy Way
Neural handwriting recognition (NHR) is the recognition of handwritten text with deep learning models, such as multi-dimensional long short-term memory (MDLSTM) recurrent neural ne…
Deep Adaptive Learning for Writer Identification based on Single Handwritten Word Images
Sheng He, Lambert Schomaker
There are two types of information in each handwritten word image: explicit information which can be easily read or derived directly, such as lexical content or word length, and im…
Open Set Chinese Character Recognition using Multi-typed Attributes
Sheng He, Lambert Schomaker
Recognition of Off-line Chinese characters is still a challenging problem, especially in historical documents, not only in the number of classes extremely large in comparison to co…
Target and (Astro-)WISE technologies - Data federations and its applications
E. A. Valentijn, K. Begeman, A. Belikov +13
After its first implementation in 2003 the Astro-WISE technology has been rolled out in several European countries and is used for the production of the KiDS survey data. In the mu…
Caveats on Bayesian and hidden-Markov models (v2.8)
Lambert Schomaker
This paper describes a number of fundamental and practical problems in the application of hidden-Markov models and Bayes when applied to cursive-script recognition. Several problem…