Attempts to recognize anomalously deformed Kana in Japanese historical documents HT Nguyen, NT Ly, KC Nguyen, CT Nguyen, M Nakagawa Proceedings of the 4th International Workshop on Historical Document Imaging …, 2017 | 49 | 2017 |
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 | 46 | 2017 |
A nom historical document recognition system for digital archiving T Van Phan, K Cong Nguyen, M Nakagawa International Journal on Document Analysis and Recognition (IJDAR) 19, 49-64,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 | 27 | 2016 |
Text-line and character segmentation for offline recognition of handwritten japanese text KC Nguyen, M Nakagawa IEICE technical report 115 (517), 53-58, 2016 | 24 | 2016 |
A character attention generative adversarial network for degraded historical document restoration KC Nguyen, CT Nguyen, S Hotta, M Nakagawa 2019 International Conference on Document Analysis and Recognition (ICDAR …, 2019 | 19 | 2019 |
Nom document digitalization by deep convolution neural networks KC Nguyen, CT Nguyen, M Nakagawa Pattern Recognition Letters 133, 8-16, 2020 | 15 | 2020 |
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 | 14 | 2020 |
Recognition of anomalously deformed kana sequences in Japanese historical documents NT Ly, KC Nguyen, CT Nguyen, M Nakagawa IEICE TRANSACTIONS on Information and Systems 102 (8), 1554-1564, 2019 | 13 | 2019 |
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 | 12 | 2017 |
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by deep convolution neural networks CK Nguyen, CT Nguyen, N Masaki Proceedings of the 4th International Workshop on Historical Document Imaging …, 2017 | 11 | 2017 |
Enhanced character segmentation for format-free Japanese text recognition KC Nguyen, N Masaki 2016 15th International Conference on Frontiers in Handwriting Recognition …, 2016 | 8 | 2016 |
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 | 1 | 2023 |
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 | 1 | 2022 |
A High Accuracy Text Detection Model of Newly Constructing and Training Strategies. KC Nguyen, R Odate ICPRAM, 635-642, 2021 | 1 | 2021 |
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 |