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Disambiguation of "Seuret, Mathias"

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Page Segmentation for Historical Handwritten Document Images Using Conditional Random Fields.

, , , , , and . ICFHR, page 90-95. IEEE Computer Society, (2016)

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Univ. -Prof. Dr. Mathias Liewald University of Stuttgart

Mathias Weiser University of Stuttgart

Mathias Feinler University of Stuttgart

Mathias Jung University of Stuttgart

Univ. -Prof. Ph. D. Mathias Niepert University of Stuttgart

 

Other publications of authors with the same name

Are You Tampering with My Data?, , , , , , and . ECCV Workshops (2), volume 11130 of Lecture Notes in Computer Science, page 296-312. Springer, (2018)Ground truth model, tool, and dataset for layout analysis of historical documents., , , , , and . DRR, volume 9402 of SPIE Proceedings, page 940204. SPIE, (2015)What You Expect is NOT What You Get! Questioning Reconstruction/Classification Correlation of Stacked Convolutional Auto-Encoder Features., , , and . CoRR, (2017)Gradient-domain degradations for improving historical documents images layout analysis., , , , and . ICDAR, page 1006-1010. IEEE Computer Society, (2015)relocated from Tunis, Tunisia.Trainable Spectrally Initializable Matrix Transformations in Convolutional Neural Networks., , , , , and . CoRR, (2019)ICDAR 2019 Competition on Image Retrieval for Historical Handwritten Documents., , , , and . CoRR, (2019)A User-Centered Segmentation Method for Complex Historical Manuscripts Based on Document Graphs., , , and . IEEE Trans. Hum. Mach. Syst., 47 (2): 181-193 (2017)Page Segmentation for Historical Document Images Based on Superpixel Classification with Unsupervised Feature Learning., , , , , and . DAS, page 299-304. IEEE Computer Society, (2016)Page segmentation of historical document images with convolutional autoencoders., , , , and . ICDAR, page 1011-1015. IEEE Computer Society, (2015)relocated from Tunis, Tunisia.N-Light-N: A Highly-Adaptable Java Library for Document Analysis with Convolutional Auto-Encoders and Related Architectures., , and . ICFHR, page 459-464. IEEE Computer Society, (2016)