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Christoph Auer

IBM Research

ICDAR 2023 Competition on Robust Layout Segmentation in Corporate Documents


May 24, 2023
Christoph Auer, Ahmed Nassar, Maksym Lysak, Michele Dolfi, Nikolaos Livathinos, Peter Staar

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* ICDAR 2023, 10 pages, 4 figures 

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Optimized Table Tokenization for Table Structure Recognition


May 05, 2023
Maksym Lysak, Ahmed Nassar, Nikolaos Livathinos, Christoph Auer, Peter Staar

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* Accepted to ICDAR 2023, 12 pages, 6 figures 

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FETA: Towards Specializing Foundation Models for Expert Task Applications


Sep 08, 2022
Amit Alfassy, Assaf Arbelle, Oshri Halimi, Sivan Harary, Roei Herzig, Eli Schwartz, Rameswar Panda, Michele Dolfi, Christoph Auer, Kate Saenko, PeterW. J. Staar, Rogerio Feris, Leonid Karlinsky

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DocLayNet: A Large Human-Annotated Dataset for Document-Layout Analysis


Jun 02, 2022
Birgit Pfitzmann, Christoph Auer, Michele Dolfi, Ahmed S Nassar, Peter W J Staar

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* 9 pages, 6 figures, 5 tables. Accepted paper at SIGKDD 2022 conference 

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Delivering Document Conversion as a Cloud Service with High Throughput and Responsiveness


Jun 01, 2022
Christoph Auer, Michele Dolfi, André Carvalho, Cesar Berrospi Ramis, Peter W. J. Staar

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* 11 pages, 7 figures, to be published in IEEE CLOUD 2022 

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Robust PDF Document Conversion Using Recurrent Neural Networks


Feb 18, 2021
Nikolaos Livathinos, Cesar Berrospi, Maksym Lysak, Viktor Kuropiatnyk, Ahmed Nassar, Andre Carvalho, Michele Dolfi, Christoph Auer, Kasper Dinkla, Peter Staar

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* 9 pages, 2 tables, 4 figures, uses aaai21.sty. Accepted at the "Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21)". Received the "IAAI-21 Innovative Application Award" 

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An Information Extraction and Knowledge Graph Platform for Accelerating Biochemical Discoveries


Jul 19, 2019
Matteo Manica, Christoph Auer, Valery Weber, Federico Zipoli, Michele Dolfi, Peter Staar, Teodoro Laino, Costas Bekas, Akihiro Fujita, Hiroki Toda, Shuichi Hirose, Yasumitsu Orii

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* 4 pages, 1 figure, Workshop on Applied Data Science for Healthcare at KDD, Anchorage, AK, 2019 

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Corpus Conversion Service: A Machine Learning Platform to Ingest Documents at Scale


May 24, 2018
Peter W J Staar, Michele Dolfi, Christoph Auer, Costas Bekas

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* Accepted paper at KDD 2018 conference 

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Corpus Conversion Service: A machine learning platform to ingest documents at scale [Poster abstract]


May 15, 2018
Peter W J Staar, Michele Dolfi, Christoph Auer, Costas Bekas

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* Accepted in SysML 2018 (www.sysml.cc

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