Max Weidemann

According to our database, Max Weidemann authored at least 5 papers between 2018 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2020

ICPR 2020 Competition on Text Block Segmentation on a NewsEye Dataset.

Johannes Michael, Max Weidemann, Bastian Laasch, Roger Labahn

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2019

Transforming scholarship in the archives through handwritten text recognition.

Günter Mühlberger, Louise Seaward, Melissa Terras, Sofia Ares Oliveira, Vicente Bosch, Maximilian Bryan, Sebastian Colutto, Hervé Déjean, Markus Diem, Stefan Fiel, Basilis Gatos, Albert Greinoecker, Tobias Grüning, Günter Hackl, Vili Haukkovaara, Gerhard Heyer, Lauri Hirvonen, Tobias Hodel, Matti Jokinen, Philip Kahle, Mario Kallio, Frédéric Kaplan, Florian Kleber, Roger Labahn, Eva Maria Lang, Sören Laube, Gundram Leifert, Georgios Louloudis, Rory McNicholl, Jean-Luc Meunier, Johannes Michael, Elena Mühlbauer, Nathanael Philipp, Ioannis Pratikakis, Joan Puigcerver Pérez, Hannelore Putz, George Retsinas, Verónica Romero, Robert Sablatnig, Joan-Andreu Sánchez, Philip Schofield, Giorgos Sfikas, Christian Sieber, Nikolaos Stamatopoulos, Tobias Strauß, Tamara Terbul, Alejandro H. Toselli, Berthold Ulreich, Mauricio Villegas, Enrique Vidal, Johanna Walcher, Max Weidemann, Herbert Wurster, Konstantinos Zagoris

J. Documentation, 2019

Automatic Text and Feature Recognition: Mit READ Werkzeugen Texte erkennen und Dokumente analysieren.

Tobias Hodel, Markus Diem, Sofia Ares Oliveira, Max Weidemann

Proceedings of the 6. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, 2019

2018

Bench-Marking Information Extraction in Semi-Structured Historical Handwritten Records.

Animesh Prasad, Hervé Déjean, Jean-Luc Meunier, Max Weidemann, Johannes Michael, Gundram Leifert

CoRR, 2018

System Description of CITlab's Recognition & Retrieval Engine for ICDAR2017 Competition on Information Extraction in Historical Handwritten Records.

Tobias Strauß, Max Weidemann, Johannes Michael, Gundram Leifert, Tobias Grüning, Roger Labahn

CoRR, 2018