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Christopher Tensmeyer
Christopher Tensmeyer
Adobe Research
Verified email at adobe.com - Homepage
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Cited by
Cited by
Year
Document image binarization with fully convolutional neural networks
C Tensmeyer, T Martinez
2017 14th IAPR International Conference on Document Analysis and Recognition …, 2017
1162017
Start, Follow, Read: End-to-End Full-Page Handwriting Recognition
C Wigington, C Tensmeyer, B Davis, W Barrett, B Price, S Cohen
Proceedings of the European Conference on Computer Vision (ECCV), 367-383, 2018
732018
Analysis of convolutional neural networks for document image classification
C Tensmeyer, T Martinez
2017 14th IAPR International Conference on Document Analysis and Recognition …, 2017
462017
Deep Splitting and Merging for Table Structure Decomposition
C Tensmeyer, VI Morariu, B Price, S Cohen, T Martinez
2019 International Conference on Document Analysis and Recognition (ICDAR …, 2019
422019
Convolutional neural networks for font classification
C Tensmeyer, D Saunders, T Martinez
2017 14th IAPR International Conference on Document Analysis and Recognition …, 2017
312017
Historical document image binarization: A review
C Tensmeyer, T Martinez
SN Computer Science 1 (3), 1-26, 2020
232020
Deep visual template-free form parsing
B Davis, B Morse, S Cohen, B Price, C Tensmeyer
2019 International Conference on Document Analysis and Recognition (ICDAR …, 2019
232019
Cross-Domain Document Object Detection: Benchmark Suite and Method
K Li, C Wigington, C Tensmeyer, H Zhao, N Barmpalios, VI Morariu, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
222020
Text and Style Conditioned GAN for Generation of Offline Handwriting Lines
B Davis, C Tensmeyer, B Price, C Wigington, B Morse, R Jain
arXiv preprint arXiv:2009.00678, 2020
192020
ICDAR 2019 Competition on Harvesting Raw Tables from Infographics (CHART-Infographics)
K Davila, BU Kota, S Setlur, V Govindaraju, C Tensmeyer, S Shekhar, ...
2019 International Conference on Document Analysis and Recognition (ICDAR …, 2019
172019
Pagenet: Page boundary extraction in historical handwritten documents
C Tensmeyer, B Davis, C Wigington, I Lee, B Barrett
Proceedings of the 4th International Workshop on Historical Document Imaging …, 2017
152017
Training Full-Page Handwritten Text Recognition Models without Annotated Line Breaks
C Tensmeyer, C Wigington
2019 International Conference on Document Analysis and Recognition (ICDAR), 1-8, 2019
142019
Towards Language-Free Training for Text-to-Image Generation
Y Zhou, R Zhang, C Chen, C Li, C Tensmeyer, T Yu, J Gu, J Xu, T Sun
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
13*2022
CONFIRM–Clustering of noisy form images using robust matching
C Tensmeyer, T Martinez
Pattern Recognition 87, 1-16, 2019
72019
Generating Realistic Binarization Data with Generative Adversarial Networks
C Tensmeyer, M Brodie, D Saunders, T Martinez
2019 International Conference on Document Analysis and Recognition (ICDAR …, 2019
62019
Language Model Supervision for Handwriting Recognition Model Adaptation
C Tensmeyer, C Wigington, B Davis, S Stewart, T Martinez, W Barrett
2018 16th International Conference on Frontiers in Handwriting Recognition …, 2018
62018
ICPR 2020-Competition on Harvesting Raw Tables from Infographics
K Davila, C Tensmeyer, S Shekhar, H Singh, S Setlur, V Govindaraju
International Conference on Pattern Recognition, 361-380, 2021
52021
Improving Invariance and Equivariance Properties of Convolutional Neural Networks
C Tensmeyer, T Martinez
52016
Table layout determination using a machine learning system
BL Price, VI Morariu, SD Cohen, CA Tensmeyer
US Patent 10,846,524, 2020
42020
Writer Identification and Script Classification. Two Tasks for a Common Understanding of Cultural Heritage
D Stutzmann, C Tensmeyer, V Christlein
Manuscript cultures, 11-24, 2020
42020
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