Kha Cong Nguyen

According to our database, Kha Cong Nguyen authored at least 12 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Incremental Teacher Model with Mixed Augmentations and Scheduled Pseudo-label Loss for Handwritten Text Recognition.

Masayuki Honda, Hung Tuan Nguyen, Cuong Tuan Nguyen, Kha Cong Nguyen, Ryosuke Odate, Takashi Kanemaru, Masaki Nakagawa

Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

2021

A High Accuracy Text Detection Model of Newly Constructing and Training Strategies.

Kha Cong Nguyen, Ryosuke Odate

Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods, 2021

2020

Nom document digitalization by deep convolution neural networks.

Kha Cong Nguyen, Cuong Tuan Nguyen, Masaki Nakagawa

Pattern Recognit. Lett., 2020

A Semantic Segmentation-based Method for Handwritten Japanese Text Recognition.

Kha Cong Nguyen, Cuong Tuan Nguyen, Masaki Nakagawa

Proceedings of the 17th International Conference on Frontiers in Handwriting Recognition, 2020

2019

Recognition of Anomalously Deformed Kana Sequences in Japanese Historical Documents.

Nam Tuan Ly, Kha Cong Nguyen, Cuong Tuan Nguyen, Masaki Nakagawa

IEICE Trans. Inf. Syst., 2019

A Character Attention Generative Adversarial Network for Degraded Historical Document Restoration.

Kha Cong Nguyen, Cuong Tuan Nguyen, Seiji Hotta, Masaki Nakagawa

Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

2017

A Segmentation Method of Single- and Multiple-Touching Characters in Offline Handwritten Japanese Text Recognition.

Kha Cong Nguyen, Cuong Tuan Nguyen, Masaki Nakagawa

IEICE Trans. Inf. Syst., 2017

Tens of Thousands of Nom Character Recognition by Deep Convolution Neural Networks.

Kha Cong Nguyen, Cuong Tuan Nguyen, Masaki Nakagawa

Proceedings of the 4th International Workshop on Historical Document Imaging and Processing, 2017

Deep Convolutional Recurrent Network for Segmentation-Free Offline Handwritten Japanese Text Recognition.

Nam Tuan Ly, Cuong Tuan Nguyen, Kha Cong Nguyen, Masaki Nakagawa

Proceedings of the 6th International Workshop on Multilingual OCR, 2017

Attempts to recognize anomalously deformed Kana in Japanese historical documents.

Hung Tuan Nguyen, Nam Tuan Ly, Kha Cong Nguyen, Cuong Tuan Nguyen, Masaki Nakagawa

Proceedings of the 4th International Workshop on Historical Document Imaging and Processing, 2017

2016

A Nom historical document recognition system for digital archiving.

Truyen Van Phan, Kha Cong Nguyen, Masaki Nakagawa

Int. J. Document Anal. Recognit., 2016

Enhanced Character Segmentation for Format-Free Japanese Text Recognition.

Kha Cong Nguyen, Masaki Nakagawa

Proceedings of the 15th International Conference on Frontiers in Handwriting Recognition, 2016