2 citations · 3 across the 4 of their papers we have counts for
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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…
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…
A large-scale field test on word-image classification in large historical document collections using a traditional and two deep-learning methods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Recognition of Off-line Chinese characters is still a challenging problem, especially in historical documents, not only in the number of classes extremely large in comparison to co…