We are pleased that the German Research Foundation (DFG) funds the project "Large-scale Automatic Calving Front Segmentation and Frontal Ablation Analysis of Arctic Glaciers using Synthetic-Aperture Radar Image Sequences (LASSI)". The 3 years research project aims to develop computer vision met...
We are proud to announce the launch of the ICPR 2022 ODeuropa Competition on Olfactory Object Recognition (ODOR), the world's first competition for the detection on olfactory objects on historical artworks. Work with a data set of >24000 object annotations in 87 categories on ~3000 images and creat...
We are pleased that the Elite Network Bavaria (ENB) of the Bavarian State Ministry of Science & Art funds the international doctorate program "Measuring and Modelling Mountain glaciers and ice caps in a Changing Climate (M³OCCA)". The goal of this four years program is to substantially contribu...
We are pleased that the German Research Foundation (DFG) and the British Arts and Humanities Research Council (AHRC) funds the project ›Werck der Bücher‹ – Transitions, Experimentation, and Collaboration in Reprographic Technologies, 1440–1470 . It is a 3 year project analyzing early technologies o...
Mathias Zinnen and Vincent Christlein were successful in the last round of the NVIDIA Academic Hardware Grant Program and received several NVIDIA GPUs. Thanks to these, we can enhance our efforts in the field of Computational Humanities, especially the work in computational artwork analysis (Odeuro...
Great achievement by Alexander Mattick, Martin Mayr, Mathias Seuret, Andreas Maier, and Vincent Christlein!
Their paper "SmartPatch: Improving Handwritten Word Imitation with Patch Discriminators" received the Best Student Paper Award by the 16th International Conference on Document Analysis an...
We are pleased that the German Research Foundation (DFG) funded our project "Font Group Recognition for Improved OCR". It will be part of Phase III of OCR-D, the German initiative for OCR development. In total, FAU will receive 210.000 Eur for 24 months.
This project aims to improve OCR for book...
This competition investigates the performance of historical document classification. The analysis of historical documents is a difficult challenge commonly solved by trained humanists. We provide three different classification tasks, which can be solved individually or jointly: font group, location...
Great achievement by Martin Leipert, Georg Vogeler, Mathias Seuret, Andreas Maier, Vincent Christlein! Their paper "The Notary in the Haystack -- Countering Class Imbalance in Document Processing with CNNs" received the Honorable Mention Best Student Paper Award by the 14th IAPR Workshop on Docume...
This competition investigates the performance of large-scale retrieval of historical document fragments based on writer recognition. The analysis of historic fragments is a difficult challenge commonly solved by trained humanists. To simulate fragments, we extract random text patches from histo...
