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2020 – today
- 2025
[j16]Duong Thanh Tran
, Nguyen Doan Hieu Nguyen, Trung Thanh Pham, Phuong-Nam Tran, Thuy-Duong Thi Vu, Cuong Tuan Nguyen, Hanh Dang-Ngoc, Duc Ngoc Minh Dang:
SwinTExCo: Exemplar-based video colorization using Swin Transformer. Expert Syst. Appl. 260: 125437 (2025)- 2024
- [j15]Thanh-Nghia Truong, Cuong Tuan Nguyen, Richard Zanibbi, Harold Mouchère, Masaki Nakagawa:
A survey on handwritten mathematical expression recognition: The rise of encoder-decoder and GNN models. Pattern Recognit. 153: 110531 (2024) - [c35]Masaki Nakagawa, Hung Tuan Nguyen, Thanh-Nghia Truong, Nam Tuan Ly, Cuong Tuan Nguyen, Haruki Oka, Tsunenori Ishioka, Tomo Asakura, Hiroshi Miyazawa, Takahiro Yamamoto, Toshihiko Horie, Fumiko Yasuno:
Two Experiments for Automatic Scoring of Handwritten Descriptive Answers. DAS 2024: 3-19 - [c34]Quan Bao Le, Kiet Tuan Trinh, Nguyen Dinh Hung Son, Phuong-Nam Tran, Cuong Tuan Nguyen, Duc Ngoc Minh Dang:
MERSA: Multimodal Emotion Recognition with Self-Align Embedding. ICOIN 2024: 500-505 - [c33]Phuong-Nam Tran, Nhat Truong Pham, Nam Van Hai Phan, Duc Tai Phane, Cuong Tuan Nguyen, Duc Ngoc Minh Dang:
Towards Real-Time Vietnamese Traffic Sign Recognition on Embedded Systems. ICTC 2024: 1-6 - 2023
- [c32]Tomo Asakura, Hung Nguyen, Nghia Truong, Nam Tuan Ly, Cuong Tuan Nguyen, Hiroshi Miyazawa, Yoichi Tsuchida, Takahiro Yamamoto, Masamitsu Ito, Toshihiko Horie, Fumiko Yasuno, Tsunenori Ishioka, Kokoro Kobayashi, Ikuko Shimizu, Masaki Nakagawa:
Digitalizing educational workbooks and collecting handwritten answers for automatic scoring. iTextbooks@AIED 2023: 78-87 - [c31]Masayuki Honda, Hung Tuan Nguyen, Cuong Tuan Nguyen, Kha Cong Nguyen, Ryosuke Odate, Takashi Kanemaru, Masaki Nakagawa:
Incremental Teacher Model with Mixed Augmentations and Scheduled Pseudo-label Loss for Handwritten Text Recognition. ICDAR (4) 2023: 287-301 - [c30]Yejing Xie, Harold Mouchère, Foteini Simistira Liwicki, Sumit Rakesh, Rajkumar Saini, Masaki Nakagawa, Cuong Tuan Nguyen, Thanh-Nghia Truong:
ICDAR 2023 CROHME: Competition on Recognition of Handwritten Mathematical Expressions. ICDAR (2) 2023: 553-565 - [c29]Duc-Hieu Hoang, Anh-Khoa Tran, Duc Ngoc Minh Dang, Phuong-Nam Tran, Hanh Dang-Ngoc, Cuong Tuan Nguyen:
RBBA: ResNet - BERT - Bahdanau Attention for Image Caption Generator. ICTC 2023: 430-435 - 2022
- [j14]Thanh-Nghia Truong, Cuong Tuan Nguyen, Masaki Nakagawa:
Syntactic data generation for handwritten mathematical expression recognition. Pattern Recognit. Lett. 153: 83-91 (2022) - [c28]Haruki Oka, Hung Tuan Nguyen, Cuong Tuan Nguyen, Masaki Nakagawa, Tsunenori Ishioka:
Fully Automated Short Answer Scoring of the Trial Tests for Common Entrance Examinations for Japanese University. AIED (1) 2022: 180-192 - [c27]Hung Tuan Nguyen, Cuong Tuan Nguyen, Haruki Oka, Tsunenori Ishioka, Masaki Nakagawa:
Handwriting Recognition and Automatic Scoring for Descriptive Answers in Japanese Language Tests. ICFHR 2022: 274-284 - [i7]Hung Tuan Nguyen, Cuong Tuan Nguyen, Haruki Oka, Tsunenori Ishioka, Masaki Nakagawa:
Fully automatic scoring of handwritten descriptive answers in Japanese language tests. CoRR abs/2201.03215 (2022) - 2021
- [j13]Vu Tran Minh Khuong, Khanh Minh Phan, Quang Huy Ung, Cuong Tuan Nguyen, Masaki Nakagawa:
Clustering of Handwritten Mathematical Expressions for Computer-Assisted Marking. IEICE Trans. Inf. Syst. 104-D(2): 275-284 (2021) - [j12]Quang Huy Ung, Cuong Tuan Nguyen, Khanh Minh Phan, Vu Tran Minh Khuong, Masaki Nakagawa:
Clustering online handwritten mathematical expressions. Pattern Recognit. Lett. 146: 267-275 (2021) - [c26]Thanh-Nghia Truong, Hung Tuan Nguyen, Cuong Tuan Nguyen, Masaki Nakagawa:
Learning Symbol Relation Tree for Online Handwritten Mathematical Expression Recognition. ACPR (2) 2021: 307-321 - [c25]Thanh-Nghia Truong, Quang Huy Ung, Hung Tuan Nguyen, Cuong Tuan Nguyen, Masaki Nakagawa:
Relation-Based Representation for Handwritten Mathematical Expression Recognition. ICDAR Workshops (1) 2021: 7-19 - [c24]Cuong Tuan Nguyen, Hung Tuan Nguyen, Kei Morizumi, Masaki Nakagawa:
Temporal Classification Constraint for Improving Handwritten Mathematical Expression Recognition. ICDAR Workshops (2) 2021: 113-125 - [c23]Quang Huy Ung, Cuong Tuan Nguyen, Hung Tuan Nguyen, Masaki Nakagawa:
GSSF: A Generative Sequence Similarity Function Based on a Seq2Seq Model for Clustering Online Handwritten Mathematical Answers. ICDAR (2) 2021: 145-159 - [c22]Quang Huy Ung, Cuong Tuan Nguyen, Hung Tuan Nguyen, Thanh-Nghia Truong, Masaki Nakagawa:
A Transformer-Based Math Language Model for Handwritten Math Expression Recognition. ICDAR Workshops (2) 2021: 403-415 - [c21]Cuong Tuan Nguyen, Thanh-Nghia Truong, Hung Tuan Nguyen, Masaki Nakagawa:
Global Context for Improving Recognition of Online Handwritten Mathematical Expressions. ICDAR (2) 2021: 617-631 - [i6]Thanh-Nghia Truong, Hung Tuan Nguyen, Cuong Tuan Nguyen, Masaki Nakagawa:
Learning symbol relation tree for online mathematical expression recognition. CoRR abs/2105.06084 (2021) - [i5]Cuong Tuan Nguyen, Thanh-Nghia Truong, Hung Tuan Nguyen, Masaki Nakagawa:
Global Context for improving recognition of Online Handwritten Mathematical Expressions. CoRR abs/2105.10156 (2021) - [i4]Quang Huy Ung, Cuong Tuan Nguyen, Hung Tuan Nguyen, Masaki Nakagawa:
GSSF: A Generative Sequence Similarity Function based on a Seq2Seq model for clustering online handwritten mathematical answers. CoRR abs/2105.10159 (2021) - [i3]Quang Huy Ung, Cuong Tuan Nguyen, Hung Tuan Nguyen, Thanh-Nghia Truong, Masaki Nakagawa:
A Transformer-based Math Language Model for Handwritten Math Expression Recognition. CoRR abs/2108.05002 (2021) - 2020
- [j11]Cuong Tuan Nguyen, Bipin Indurkhya, Masaki Nakagawa:
A unified method for augmented incremental recognition of online handwritten Japanese and English text. Int. J. Document Anal. Recognit. 23(1): 53-72 (2020) - [j10]Cuong Tuan Nguyen, Vu Tran Minh Khuong, Hung Tuan Nguyen, Masaki Nakagawa:
CNN based spatial classification features for clustering offline handwritten mathematical expressions. Pattern Recognit. Lett. 131: 113-120 (2020) - [j9]Kha Cong Nguyen, Cuong Tuan Nguyen, Masaki Nakagawa:
Nom document digitalization by deep convolution neural networks. Pattern Recognit. Lett. 133: 8-16 (2020) - [j8]Nam Tuan Ly, Cuong Tuan Nguyen, Masaki Nakagawa:
An attention-based row-column encoder-decoder model for text recognition in Japanese historical documents. Pattern Recognit. Lett. 136: 134-141 (2020) - [c20]Kha Cong Nguyen, Cuong Tuan Nguyen, Masaki Nakagawa:
A Semantic Segmentation-based Method for Handwritten Japanese Text Recognition. ICFHR 2020: 127-132 - [c19]Nam Tuan Ly, Cuong Tuan Nguyen, Masaki Nakagawa:
Attention Augmented Convolutional Recurrent Network for Handwritten Japanese Text Recognition. ICFHR 2020: 163-168 - [c18]Thanh-Nghia Truong, Cuong Tuan Nguyen, Khanh Minh Phan, Masaki Nakagawa:
Improvement of End-to-End Offline Handwritten Mathematical Expression Recognition by Weakly Supervised Learning. ICFHR 2020: 181-186 - [c17]Trung Tan Ngo, Cuong Tuan Nguyen, Masaki Nakagawa:
A Siamese Network-based Approach For Matching Various Sizes Of Excavated Wooden Fragments. ICFHR 2020: 307-312 - [c16]Cuong Tuan Nguyen, Thanh-Nghia Truong, Quang Huy Ung, Masaki Nakagawa:
Online Handwritten Mathematical Symbol Segmentation and Recognition with Bidirectional Context. ICFHR 2020: 355-360 - [c15]Hung Tuan Nguyen, Tsubasa Nakamura, Cuong Tuan Nguyen, Masaki Nakawaga:
Online trajectory recovery from offline handwritten Japanese kanji characters of multiple strokes. ICPR 2020: 8320-8327 - [i2]Hung Tuan Nguyen, Tsubasa Nakamura, Cuong Tuan Nguyen, Masaki Nakagawa:
Online trajectory recovery from offline handwritten Japanese kanji characters. CoRR abs/2009.04284 (2020) - [i1]Hung Tuan Nguyen, Cuong Tuan Nguyen, Takeya Ino, Bipin Indurkhya, Masaki Nakagawa:
Text-independent writer identification using convolutional neural network. CoRR abs/2009.04877 (2020)
2010 – 2019
- 2019
- [j7]Nam Tuan Ly, Kha Cong Nguyen, Cuong Tuan Nguyen, Masaki Nakagawa:
Recognition of Anomalously Deformed Kana Sequences in Japanese Historical Documents. IEICE Trans. Inf. Syst. 102-D(8): 1554-1564 (2019) - [j6]Jianjuan Liang, Cuong Tuan Nguyen, Bilan Zhu, Masaki Nakagawa:
An online overlaid handwritten Japanese text recognition system for small tablet. Pattern Anal. Appl. 22(1): 233-241 (2019) - [j5]Hung Tuan Nguyen, Cuong Tuan Nguyen, Takeya Ino, Bipin Indurkhya, Masaki Nakagawa:
Text-independent writer identification using convolutional neural network. Pattern Recognit. Lett. 121: 104-112 (2019) - [j4]Cuong Tuan Nguyen, Hung Tuan Nguyen, Kazuhiro Mita, Masaki Nakagawa:
Robust and real-time stroke order evaluation using incremental stroke context for learners to write Kanji characters correctly. Pattern Recognit. Lett. 121: 140-149 (2019) - [c14]Kha Cong Nguyen, Cuong Tuan Nguyen, Seiji Hotta, Masaki Nakagawa:
A Character Attention Generative Adversarial Network for Degraded Historical Document Restoration. ICDAR 2019: 420-425 - [c13]Nam Tuan Ly, Cuong Tuan Nguyen, Masaki Nakagawa:
An Attention-Based End-to-End Model for Multiple Text Lines Recognition in Japanese Historical Documents. ICDAR 2019: 629-634 - 2018
- [j3]Hung Tuan Nguyen, Cuong Tuan Nguyen, Pham The Bao, Masaki Nakagawa:
A database of unconstrained Vietnamese online handwriting and recognition experiments by recurrent neural networks. Pattern Recognit. 78: 291-306 (2018) - [c12]Nam Tuan Ly, Cuong Tuan Nguyen, Masaki Nakagawa:
Training an End-to-End Model for Offline Handwritten Japanese Text Recognition by Generated Synthetic Patterns. ICFHR 2018: 74-79 - [c11]Hung Tuan Nguyen, Cuong Tuan Nguyen, Masaki Nakagawa:
Online Japanese Handwriting Recognizers using Recurrent Neural Networks. ICFHR 2018: 435-440 - [c10]Hung Tuan Nguyen, Cuong Tuan Nguyen, Masaki Nakagawa:
ICFHR 2018 - Competition on Vietnamese Online Handwritten Text Recognition using HANDS-VNOnDB (VOHTR2018). ICFHR 2018: 494-499 - 2017
- [j2]Kha Cong Nguyen, Cuong Tuan Nguyen, Masaki Nakagawa:
A Segmentation Method of Single- and Multiple-Touching Characters in Offline Handwritten Japanese Text Recognition. IEICE Trans. Inf. Syst. 100-D(12): 2962-2972 (2017) - [c9]Nam Tuan Ly, Cuong Tuan Nguyen, Kha Cong Nguyen, Masaki Nakagawa:
Deep Convolutional Recurrent Network for Segmentation-Free Offline Handwritten Japanese Text Recognition. MOCR@ICDAR 2017: 5-9 - [c8]Hung Tuan Nguyen, Nam Tuan Ly, Kha Cong Nguyen, Cuong Tuan Nguyen, Masaki Nakagawa:
Attempts to recognize anomalously deformed Kana in Japanese historical documents. HIP@ICDAR 2017: 31-36 - [c7]Kha Cong Nguyen, Cuong Tuan Nguyen, Masaki Nakagawa:
Tens of Thousands of Nom Character Recognition by Deep Convolution Neural Networks. HIP@ICDAR 2017: 37-41 - 2016
- [j1]Cuong Tuan Nguyen, Bilan Zhu, Masaki Nakagawa:
Semi-Incremental Recognition of On-Line Handwritten Japanese Text. IEICE Trans. Inf. Syst. 99-D(10): 2619-2628 (2016) - [c6]Hung Tuan Nguyen, Cuong Tuan Nguyen, Pham The Bao, Masaki Nakagawa:
Preparation of an Unconstrained Vietnamese Online Handwriting Database and Recognition Experiments by Recurrent Neural Networks. ICFHR 2016: 144-149 - [c5]Cuong Tuan Nguyen, Masaki Nakagawa:
Finite State Machine Based Decoding of Handwritten Text Using Recurrent Neural Networks. ICFHR 2016: 246-251 - 2015
- [c4]Khanh Minh Phan, Cuong Tuan Nguyen, Anh Duc Le, Masaki Nakagawa:
An incremental recognition method for online handwritten mathematical expressions. ACPR 2015: 171-175 - [c3]Cuong Tuan Nguyen, Masaki Nakagawa:
An improved segmentation of online English handwritten text using recurrent neural networks. ACPR 2015: 176-180 - 2014
- [c2]Cuong Tuan Nguyen, Bilan Zhu, Masaki Nakagawa:
A Semi-incremental Recognition Method for On-Line Handwritten English Text. ICFHR 2014: 234-239 - 2013
- [c1]Cuong Tuan Nguyen, Bilan Zhu, Masaki Nakagawa:
A Semi-incremental Recognition Method for On-Line Handwritten Japanese Text. ICDAR 2013: 84-88
Coauthor Index
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