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Cong Kha Nguyen
Cong Kha Nguyen
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引用先
引用先
Attempts to recognize anomalously deformed Kana in Japanese historical documents
HT Nguyen, NT Ly, KC Nguyen, CT Nguyen, M Nakagawa
Proceedings of the 4th International Workshop on Historical Document Imaging …, 2017
442017
Deep convolutional recurrent network for segmentation-free offline handwritten Japanese text recognition
NT Ly, CT Nguyen, KC Nguyen, M Nakagawa
2017 14th IAPR International Conference on Document Analysis and Recognition …, 2017
422017
A nom historical document recognition system for digital archiving
T Van Phan, K Cong Nguyen, M Nakagawa
International Journal on Document Analysis and Recognition (IJDAR) 19, 49-64, 2016
262016
Text-line and character segmentation for offline recognition of handwritten japanese text
KC Nguyen, M Nakagawa
IEICE technical report 115 (517), 53-58, 2016
242016
A character attention generative adversarial network for degraded historical document restoration
KC Nguyen, CT Nguyen, S Hotta, M Nakagawa
2019 International Conference on Document Analysis and Recognition (ICDAR …, 2019
162019
Nom document digitalization by deep convolution neural networks
KC Nguyen, CT Nguyen, M Nakagawa
Pattern Recognition Letters 133, 8-16, 2020
142020
Recognition of anomalously deformed kana sequences in Japanese historical documents
NT Ly, KC Nguyen, CT Nguyen, M Nakagawa
IEICE TRANSACTIONS on Information and Systems 102 (8), 1554-1564, 2019
122019
A segmentation method of single-and multiple-touching characters in offline handwritten japanese text recognition
KC Nguyen, CT Nguyen, M Nakagawa
IEICE TRANSACTIONS on Information and Systems 100 (12), 2962-2972, 2017
122017
Tens of thousands of nom character recognition by deep convolution neural networks
CK Nguyen, CT Nguyen, N Masaki
Proceedings of the 4th International Workshop on Historical Document Imaging …, 2017
112017
A Semantic Segmentation-based Method for Handwritten Japanese Text Recognition
KC Nguyen, CT Nguyen, N Masaki
In 2020 17th International Conference on Frontiers in Handwriting …, 2020
82020
Enhanced character segmentation for format-free Japanese text recognition
KC Nguyen, N Masaki
2016 15th International Conference on Frontiers in Handwriting Recognition …, 2016
82016
Incremental Teacher Model with Mixed Augmentations and Scheduled Pseudo-label Loss for Handwritten Text Recognition
MN Masayuki Honda, Hung Tuan Nguyen, Cuong Tuan Nguyen, Cong Kha Nguyen ...
International Conference on Document Analysis and Recognition, 287-301, 2023
12023
A Robust Text Image Recognition Model with Domain Adaptation and Attention Mechanisms
KC Nguyen, R Odate, K Takashi
2022 International Conference on Wavelet Analysis and Pattern Recognition …, 2022
12022
A High Accuracy Text Detection Model of Newly Constructing and Training Strategies.
KC Nguyen, R Odate
ICPRAM, 635-642, 2021
12021
A Semi-Supervised Learning Framework using Mixed Augmentations and Scheduled Pseudo-Label Loss for Handwritten Text Recognition
M Honda, HT Nguyen, CT Nguyen, CK Nguyen, R Odate, T Kanemaru, ...
IEICE Technical Report; IEICE Tech. Rep. 122 (404), 199-204, 2023
2023
System for training machine learning model which recognizes characters of text images
C Nguyen, R Odate
US Patent App. 17/714,322, 2022
2022
013 U 論考編 研究成果の活用と関連研究 変体仮名の認識
HT Nguyen, NT Ly, KC Nguyen, CT Nguyen
木簡など出土文字資料の資源化のための機能的情報集約と知の結集, 199-202, 2019
2019
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