no code implementations • NeurIPS Workshop Document_Intelligen 2019 • Christian Reisswig, Anoop R Katti, Marco Spinaci, Johannes Höhne
We present an end-to-end trainable approach for optical character recognition (OCR) on printed documents.
2 code implementations • NeurIPS Workshop Document_Intelligen 2019 • Timo I. Denk, Christian Reisswig
For understanding generic documents, information like font sizes, column layout, and generally the positioning of words may carry semantic information that is crucial for solving a downstream document intelligence task.
no code implementations • 10 Sep 2019 • Christian Reisswig, Anoop R Katti, Marco Spinaci, Johannes Höhne
We present an end-to-end trainable approach for Optical Character Recognition (OCR) on printed documents.
4 code implementations • EMNLP 2018 • Anoop Raveendra Katti, Christian Reisswig, Cordula Guder, Sebastian Brarda, Steffen Bickel, Johannes Höhne, Jean Baptiste Faddoul
We introduce a novel type of text representation that preserves the 2D layout of a document.
no code implementations • 13 Sep 2013 • Nicholas W. Taylor, Michael Boyle, Christian Reisswig, Mark A. Scheel, Tony Chu, Lawrence E. Kidder, Bela Szilagyi
The direct NP approach is simpler than CCE, but NP waveforms can be contaminated by near-zone effects---unless the waves are extracted at several distances from the source and extrapolated to infinity.
General Relativity and Quantum Cosmology