51 citations · 142 across the 16 of their papers we have counts for
19 papers
DIVA-DAF: A Deep Learning Framework for Historical Document Image Analysis
Lars Vögtlin, Anna Scius-Bertrand, Paul Maergner +2
Deep learning methods have shown strong performance in solving tasks for historical document image analysis. However, despite current libraries and frameworks, programming an exper…
Document Towers: A MATLAB software implementing a three-dimensional architectural paradigm for the visual exploration of digital documents and libraries
Vlad Atanasiu, Rolf Ingold
This article introduces the generic Document Towers paradigm, visualization, and software for visualizing the structure of paginated documents, based on the metaphor of documents-a…
Generating Synthetic Handwritten Historical Documents With OCR Constrained GANs
Lars Vögtlin, Manuel Drazyk, Vinaychandran Pondenkandath +2
We present a framework to generate synthetic historical documents with precise ground truth using nothing more than a collection of unlabeled historical images. Obtaining large lab…
Trainable Spectrally Initializable Matrix Transformations in Convolutional Neural Networks
Michele Alberti, Angela Botros, Narayan Schuez +3
In this work, we investigate the application of trainable and spectrally initializable matrix transformations on the feature maps produced by convolution operations. While previous…
Labeling, Cutting, Grouping: an Efficient Text Line Segmentation Method for Medieval Manuscripts
Michele Alberti, Lars Vögtlin, Vinaychandran Pondenkandath +3
This paper introduces a new way for text-line extraction by integrating deep-learning based pre-classification and state-of-the-art segmentation methods. Text-line extraction in co…
Graph-Based Offline Signature Verification
Paul Maergner, Nicholas R. Howe, Kaspar Riesen +2
Graphs provide a powerful representation formalism that offers great promise to benefit tasks like handwritten signature verification. While most state-of-the-art approaches to sig…