Ly Tuan Nam
准教授
LY Tuan Nam リー トゥアン ナム りー とぅあん なむ
プロフィール
最終学歴・学位
東京農工大学
博士（工学）
Tokyo University of Agriculture and Technology
PhD (Engineering)
専門・研究分野
データサイエンス・AI、機械学習、深層学習
Data Science, AI, Machine Learning, Deep Learning
研究
研究テーマ
[日本語]
1) コンピュータビジョンによる観光地画像認識、人流・混雑の把握、案内表示やメニューの文書解析.
2) 移動履歴・気象・祝日・検索動向・SNS情報などを用いた観光需要予測.
3) マルチモーダルデータによる観光行動や感情の分析.
4) 文書画像解析・認識.
5) 文書画像に対する質問応答.
6) 自動採点・採点支援.
[English]
1) Computer vision for tourism image recognition, human mobility and crowd analysis, and document analysis of signage and menus.
2) Tourism demand forecasting using mobility data, weather, holidays, search trends, and social media data.
3) Analysis of tourist behavior and emotions using multimodal data.
4) Document Analysis and Recognition.
5) Document Visual Question Answering.
6) Automatic/Semi-automatic Scoring.
研究キーワード
[日本語]
データサイエンス、人工知能、機械学習、深層学習
コンピュータビジョン、大規模言語モデル、文書解析・認識
観光情報学、観光データ分析、時系列予測
[English]
Data Science, AI, Machine Learning, Deep Learning
Computer Vision, Large Language Model, Document Analysis and Recognition
Tourism Informatics, Tourism Data Analysis, Time Series Forecasting
詳細情報
近年の主要なものは以下の通り。
（詳細は researchmap を参照のこと）
[Papers]
- Siamese Network-Based Handwritten Pattern Similarity for Few-Shot Automatic Scoring of Very Short Answers, Nam Tuan Ly, Hung Tuan Nguyen, Masaki Nakagawa, Proceedings of the 15th International Conference on Pattern Recognition Applications and Methods, pp. 197-206, 2026年3月.
- Automatic Scoring System for Digitized Handwritten Answers, Tomo Asakura, Hung T. Nguyen, Thanh-Nghia Truong, Yoichi Tsuchida, Takahiro Yamamoto, Hiroshi Miyazawa, Nam T. Ly, Masato Nemoto, Masamitsu Ito, Toshihiko Horie, Keiichi Kaneko, Masaki Nakagawa, IEEE Access, vol. 14, pp. 25949-25967, 2026年2月11日.
- Automated Recognition and Scoring of Handwritten Short Answer: Insights from Japanese Elementary and Junior High Schools, Hung Tuan Nguyen, Thanh-Nghia Truong, Nam Tuan Ly, Masaki Nakagawa, Toshihiko Horie, Lecture Notes in Computer Science (LNCS), Springer, pp. 281-293, 2025年9月16日.
- TRH2TQA: Table Recognition with Hierarchical Relationships to Table Question-Answering on Business Table Images, Pongsakorn Jirachanchaisiri, Nam Tuan Ly, Atsuhiro Takasu, 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 8844-8852, 2025年2月26日.
- Two Experiments for Automatic Scoring of Handwritten Descriptive Answers, Masaki Nakagawa, Hung Tuan Nguyen, Nghia Thanh Truong, Nam Tuan Ly, Cuong Tuan Nguyen, Haruki Oka, Tsunenori Ishioka, Tomo Asakura, Hiroshi Miyazawa, Takahiro Yamamoto, Toshihiko Horie, Fumiko Yasuno, Lecture Notes in Computer Science (LNCS), Springer, pp. 3-19, 2024年9月11日.
- Content-Based Similarity for Automatic Scoring of Handwritten Descriptive Answers, Nghia Thanh Truong, Hung Tuan Nguyen, Nam Tuan Ly, Toshihiko Horie, Masaki Nakagawa, Lecture Notes in Computer Science (LNCS), Springer, pp. 268-281, 2024年9月3日.
- An End-to-End Local Attention Based Model for Table Recognition, Nam Tuan Ly, Atsuhiro Takasu, Lecture Notes in Computer Science (LNCS), Springer, pp. 20-36, 2023年8月19日.
- An End-to-End Multi-Task Learning Model for Image-based Table Recognition, Nam Ly, Atsuhiro Takasu, Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, vol. 5, pp. 626-634, 2023年2月.
- Rethinking Image-Based Table Recognition Using Weakly Supervised Methods, Nam Tuan Ly, Atsuhiro Takasu, Phuc Nguyen, Hideaki Takeda, Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, pp. 872-880, 2023年2月.
- Digitalizing educational workbooks and collecting handwritten answers for automatic scoring., 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, iTextbooks@AIED, pp. 78-87, 2023年.
- A Self-attention Based Model for Offline Handwritten Text Recognition., Nam Tuan Ly, Trung Tan Ngo, Masaki Nakagawa, Lecture Notes in Computer Science (LNCS), Springer, pp. 356-369, 2021年.
- 2D Self-attention Convolutional Recurrent Network for Offline Handwritten Text Recognition, Nam Tuan Ly, Hung Tuan Nguyen, Masaki Nakagawa, Lecture Notes in Computer Science (LNCS), Springer, vol. 12821 LNCS, pp. 191-204, 2021年.
- Recurrent Neural Network Transducer for Japanese and Chinese Offline Handwritten Text Recognition, Trung Tan Ngo, Hung Tuan Nguyen, Nam Tuan Ly, Masaki Nakagawa, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12917 LNCS, pp. 364-376, 2021年.
- Attention Augmented Convolutional Recurrent Network for Handwritten Japanese Text Recognition, Nam Tuan Ly, Cuong Tuan Nguyen, Masaki Nakagawa, Proceedings of International Conference on Frontiers in Handwriting Recognition, ICFHR, vol. 2020-September, pp. 163-168, 2020年9月.
- An attention-based row-column encoder-decoder model for text recognition in Japanese historical documents, Nam Tuan Ly, Cuong Tuan Nguyen, Masaki Nakagawa, Pattern Recognition Letters, vol. 136, pp. 134-141, 2020年8月.
- Hand-Drawn Object Detection for Scoring Wartegg Zeichen Test, Nam Tuan Ly, Lili Liu, Ching Y. Suen, Masaki Nakagawa, Pattern Recognition and Artificial Intelligence - International Conference(ICPRAI), pp. 109-114, 2020年.
- Hand-Drawn Object Detection for Scoring Wartegg Zeichen Test, Nam Tuan Ly, Lili Liu, Ching Y. Suen, Masaki Nakagawa, Lecture Notes in Computer Science (LNCS), Springer, vol. 12068 LNCS, pp. 109-114, 2020年.
- An attention-based end-to-end model for multiple text lines recognition in japanese historical documents, Nam Tuan Ly, Cuong Tuan Nguyen, Masaki Nakagawa, Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, pp. 629-634, 2019年9月.
- 階層化された情報システムのためのくずし字解読機能の試作—A prototype of historical Kuzushi-ji decoding function for information systems with multi-layered structure design, 耒代 誠仁, リー トゥアン・ナム, グエン コング・カー, 中川 正樹, 山本 和明, 日本情報考古学会講演論文集 = Papers and proceedings of Japan Society for Archaeological Information / 日本情報考古学会 編, vol. 22, pp. 11-15, 2019年.
- Recognition of Japanese historical text lines by an attention-based encoder-decoder and text line generation, Anh Duc Le, Daichi Mochihashi, Katsuya Masuda, Hideki Mima, Nam Tuan Ly, HIP '19: Proceedings of the 5th International Workshop on Historical Document Imaging and Processing, pp. 37-41, 2019年.
- Recognition of anomalously deformed kana sequences in Japanese historical documents, Ly, N.T., Nguyen, K.C., Nguyen, C.T., Nakagawa, M., IEICE Transactions on Information and Systems, vol. E102D, 8, pp. 1554-1564, 2019年.
- Training an End-to-End Model for Offline Handwritten Japanese Text Recognition by Generated Synthetic Patterns, Nam Tuan Ly, Cuong Tuan Nguyen, Masaki Nakagawa, PROCEEDINGS 2018 16TH INTERNATIONAL CONFERENCE ON FRONTIERS IN HANDWRITING RECOGNITION (ICFHR), vol. 2018-August, pp. 74-79, 2018年.
- Multi-column CNNs for skeleton based human gesture recognition, Dai Hai Nguyen, Tuan Nam Ly, Thi Huong Truong, Duc Dung Nguyen, Proceedings - 2017 9th International Conference on Knowledge and Systems Engineering, KSE 2017, vol. 2017-January, pp. 179-184, 2017年11月22日.
- Attempts to recognize anomalously deformed Kana in Japanese historical documents, Hung Tuan Nguyen, Nam Tuan Ly, Kha Cong Nguyen, Cuong Tuan Nguyen, Masaki Nakagawa, ACM International Conference Proceeding Series, pp. 31-36, 2017年11月10日.
- Deep Convolutional Recurrent Network for Segmentation-free Offline Handwritten Japanese Text Recognition, Nam-Tuan Ly, Cuong-Tuan Nguyen, Kha-Cong Nguyen, Masaki Nakagawa, 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), vol. 7, pp. 5-9, 2017年.
[Misc.]
- Contrastive Learning Network for Zero-Shot Automatic Scoring of Very Short Answers, Nam Tuan Ly, Hung Tuan Nguyen, Thanh-Nghia Truong, Masaki Nakagawa, パターン認識・メディア理解研究会 (PRMU), vol. PRMU2025-58, pp. 90-95, 2026年3月25日.
- Automatic Scoring of Answers using a Digital Compass for Geometric Construction Problems, Thanh-Nghia Truong, Hung Tuan Nguyen, Nam Tuan Ly, Yoichi Tsuchida, Hiroshi Miyazawa, Tomo Asakura, Masamitsu Ito, Toshihiko Horie, Fumiko Yasuno, Masaki Nakagawa, パターン認識・メディア理解研究会 (PRMU), vol. PRMU2025-53, pp. 63-67, 2026年3月24日.
- 電子ペーパに筆記される手書き解答自動採点システムの目標と設計指針, 中川正樹, グエン トゥアンフーン, トルン タン ギア, リートゥアン ナム, グエントゥアンクーン, 朝倉 僚, 宮澤 寛, 堀江利彦, 教育工学研究会（ET）, 2025年3月.
- Automatic scoring for handwritten answers from elementary to junior high school grades in Japan, Hung Tuan Nguyen, Thanh-Nghia Truong, Nam Tuan Ly, Masaki Nakagawa, Toshihiko Horie, 教育工学研究会 (ET), 2025年3月.
- Siamese Network-based Answer Similarity for Automatically Scoring Handwritten Very Short Answers, Nam Tuan Ly, Hung Tuan Nguyen, Masaki Nakagawa, パターン認識・メディア理解研究会 (PRMU), 2025年3月.
- 手書き幾何図形解答の自動採点に向けた正答例の記述, 宮澤 寛, 朝倉 僚, グエントゥアン フーン, トルンタン ギア, リートゥアン ナム, 安野 史子, 堀江 利彦, 中川 正樹, 日本教育工学会 2024年春季全国大会, 2024年3月.
- TabIQA: Table Questions Answering on Business Document Images, Nam Tuan Ly, Phuc Nguyen, Hideaki Takeda, Atsuhiro Takasu, 2023年3月27日.
- 013 Ⅱ論考編 研究成果の活用と関連研究 変体仮名の認識, Hung Tuan Nguyen, Nam Tuan Ly, Kha Cong Nguyen, Cuong Tuan Nguyen, 中川,正樹, 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, pp. 199-202, 2019年3月25日.
- 日本古典籍くずし字文書の文字列認識, 佐藤 旭, 小林 心, Nam Tuan Ly, Nguyen Tuan Cuong, 北本 朝展, 中川 正樹, 人文科学とコンピュータ研究会, vol. 2019-CH-119, 4, pp. 1-4, 2019年2月.
- 古典籍のくずし字をAIが認識, Nam Tuan Ly, Kha Cong Nguyen, プレスリリース（東京農工大学）, 2017年12月.
（詳細は researchmap を参照のこと）
[Papers]
- Siamese Network-Based Handwritten Pattern Similarity for Few-Shot Automatic Scoring of Very Short Answers, Nam Tuan Ly, Hung Tuan Nguyen, Masaki Nakagawa, Proceedings of the 15th International Conference on Pattern Recognition Applications and Methods, pp. 197-206, 2026年3月.
- Automatic Scoring System for Digitized Handwritten Answers, Tomo Asakura, Hung T. Nguyen, Thanh-Nghia Truong, Yoichi Tsuchida, Takahiro Yamamoto, Hiroshi Miyazawa, Nam T. Ly, Masato Nemoto, Masamitsu Ito, Toshihiko Horie, Keiichi Kaneko, Masaki Nakagawa, IEEE Access, vol. 14, pp. 25949-25967, 2026年2月11日.
- Automated Recognition and Scoring of Handwritten Short Answer: Insights from Japanese Elementary and Junior High Schools, Hung Tuan Nguyen, Thanh-Nghia Truong, Nam Tuan Ly, Masaki Nakagawa, Toshihiko Horie, Lecture Notes in Computer Science (LNCS), Springer, pp. 281-293, 2025年9月16日.
- TRH2TQA: Table Recognition with Hierarchical Relationships to Table Question-Answering on Business Table Images, Pongsakorn Jirachanchaisiri, Nam Tuan Ly, Atsuhiro Takasu, 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 8844-8852, 2025年2月26日.
- Two Experiments for Automatic Scoring of Handwritten Descriptive Answers, Masaki Nakagawa, Hung Tuan Nguyen, Nghia Thanh Truong, Nam Tuan Ly, Cuong Tuan Nguyen, Haruki Oka, Tsunenori Ishioka, Tomo Asakura, Hiroshi Miyazawa, Takahiro Yamamoto, Toshihiko Horie, Fumiko Yasuno, Lecture Notes in Computer Science (LNCS), Springer, pp. 3-19, 2024年9月11日.
- Content-Based Similarity for Automatic Scoring of Handwritten Descriptive Answers, Nghia Thanh Truong, Hung Tuan Nguyen, Nam Tuan Ly, Toshihiko Horie, Masaki Nakagawa, Lecture Notes in Computer Science (LNCS), Springer, pp. 268-281, 2024年9月3日.
- An End-to-End Local Attention Based Model for Table Recognition, Nam Tuan Ly, Atsuhiro Takasu, Lecture Notes in Computer Science (LNCS), Springer, pp. 20-36, 2023年8月19日.
- An End-to-End Multi-Task Learning Model for Image-based Table Recognition, Nam Ly, Atsuhiro Takasu, Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, vol. 5, pp. 626-634, 2023年2月.
- Rethinking Image-Based Table Recognition Using Weakly Supervised Methods, Nam Tuan Ly, Atsuhiro Takasu, Phuc Nguyen, Hideaki Takeda, Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, pp. 872-880, 2023年2月.
- Digitalizing educational workbooks and collecting handwritten answers for automatic scoring., 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, iTextbooks@AIED, pp. 78-87, 2023年.
- A Self-attention Based Model for Offline Handwritten Text Recognition., Nam Tuan Ly, Trung Tan Ngo, Masaki Nakagawa, Lecture Notes in Computer Science (LNCS), Springer, pp. 356-369, 2021年.
- 2D Self-attention Convolutional Recurrent Network for Offline Handwritten Text Recognition, Nam Tuan Ly, Hung Tuan Nguyen, Masaki Nakagawa, Lecture Notes in Computer Science (LNCS), Springer, vol. 12821 LNCS, pp. 191-204, 2021年.
- Recurrent Neural Network Transducer for Japanese and Chinese Offline Handwritten Text Recognition, Trung Tan Ngo, Hung Tuan Nguyen, Nam Tuan Ly, Masaki Nakagawa, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12917 LNCS, pp. 364-376, 2021年.
- Attention Augmented Convolutional Recurrent Network for Handwritten Japanese Text Recognition, Nam Tuan Ly, Cuong Tuan Nguyen, Masaki Nakagawa, Proceedings of International Conference on Frontiers in Handwriting Recognition, ICFHR, vol. 2020-September, pp. 163-168, 2020年9月.
- An attention-based row-column encoder-decoder model for text recognition in Japanese historical documents, Nam Tuan Ly, Cuong Tuan Nguyen, Masaki Nakagawa, Pattern Recognition Letters, vol. 136, pp. 134-141, 2020年8月.
- Hand-Drawn Object Detection for Scoring Wartegg Zeichen Test, Nam Tuan Ly, Lili Liu, Ching Y. Suen, Masaki Nakagawa, Pattern Recognition and Artificial Intelligence - International Conference(ICPRAI), pp. 109-114, 2020年.
- Hand-Drawn Object Detection for Scoring Wartegg Zeichen Test, Nam Tuan Ly, Lili Liu, Ching Y. Suen, Masaki Nakagawa, Lecture Notes in Computer Science (LNCS), Springer, vol. 12068 LNCS, pp. 109-114, 2020年.
- An attention-based end-to-end model for multiple text lines recognition in japanese historical documents, Nam Tuan Ly, Cuong Tuan Nguyen, Masaki Nakagawa, Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, pp. 629-634, 2019年9月.
- 階層化された情報システムのためのくずし字解読機能の試作—A prototype of historical Kuzushi-ji decoding function for information systems with multi-layered structure design, 耒代 誠仁, リー トゥアン・ナム, グエン コング・カー, 中川 正樹, 山本 和明, 日本情報考古学会講演論文集 = Papers and proceedings of Japan Society for Archaeological Information / 日本情報考古学会 編, vol. 22, pp. 11-15, 2019年.
- Recognition of Japanese historical text lines by an attention-based encoder-decoder and text line generation, Anh Duc Le, Daichi Mochihashi, Katsuya Masuda, Hideki Mima, Nam Tuan Ly, HIP '19: Proceedings of the 5th International Workshop on Historical Document Imaging and Processing, pp. 37-41, 2019年.
- Recognition of anomalously deformed kana sequences in Japanese historical documents, Ly, N.T., Nguyen, K.C., Nguyen, C.T., Nakagawa, M., IEICE Transactions on Information and Systems, vol. E102D, 8, pp. 1554-1564, 2019年.
- Training an End-to-End Model for Offline Handwritten Japanese Text Recognition by Generated Synthetic Patterns, Nam Tuan Ly, Cuong Tuan Nguyen, Masaki Nakagawa, PROCEEDINGS 2018 16TH INTERNATIONAL CONFERENCE ON FRONTIERS IN HANDWRITING RECOGNITION (ICFHR), vol. 2018-August, pp. 74-79, 2018年.
- Multi-column CNNs for skeleton based human gesture recognition, Dai Hai Nguyen, Tuan Nam Ly, Thi Huong Truong, Duc Dung Nguyen, Proceedings - 2017 9th International Conference on Knowledge and Systems Engineering, KSE 2017, vol. 2017-January, pp. 179-184, 2017年11月22日.
- Attempts to recognize anomalously deformed Kana in Japanese historical documents, Hung Tuan Nguyen, Nam Tuan Ly, Kha Cong Nguyen, Cuong Tuan Nguyen, Masaki Nakagawa, ACM International Conference Proceeding Series, pp. 31-36, 2017年11月10日.
- Deep Convolutional Recurrent Network for Segmentation-free Offline Handwritten Japanese Text Recognition, Nam-Tuan Ly, Cuong-Tuan Nguyen, Kha-Cong Nguyen, Masaki Nakagawa, 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), vol. 7, pp. 5-9, 2017年.
[Misc.]
- Contrastive Learning Network for Zero-Shot Automatic Scoring of Very Short Answers, Nam Tuan Ly, Hung Tuan Nguyen, Thanh-Nghia Truong, Masaki Nakagawa, パターン認識・メディア理解研究会 (PRMU), vol. PRMU2025-58, pp. 90-95, 2026年3月25日.
- Automatic Scoring of Answers using a Digital Compass for Geometric Construction Problems, Thanh-Nghia Truong, Hung Tuan Nguyen, Nam Tuan Ly, Yoichi Tsuchida, Hiroshi Miyazawa, Tomo Asakura, Masamitsu Ito, Toshihiko Horie, Fumiko Yasuno, Masaki Nakagawa, パターン認識・メディア理解研究会 (PRMU), vol. PRMU2025-53, pp. 63-67, 2026年3月24日.
- 電子ペーパに筆記される手書き解答自動採点システムの目標と設計指針, 中川正樹, グエン トゥアンフーン, トルン タン ギア, リートゥアン ナム, グエントゥアンクーン, 朝倉 僚, 宮澤 寛, 堀江利彦, 教育工学研究会（ET）, 2025年3月.
- Automatic scoring for handwritten answers from elementary to junior high school grades in Japan, Hung Tuan Nguyen, Thanh-Nghia Truong, Nam Tuan Ly, Masaki Nakagawa, Toshihiko Horie, 教育工学研究会 (ET), 2025年3月.
- Siamese Network-based Answer Similarity for Automatically Scoring Handwritten Very Short Answers, Nam Tuan Ly, Hung Tuan Nguyen, Masaki Nakagawa, パターン認識・メディア理解研究会 (PRMU), 2025年3月.
- 手書き幾何図形解答の自動採点に向けた正答例の記述, 宮澤 寛, 朝倉 僚, グエントゥアン フーン, トルンタン ギア, リートゥアン ナム, 安野 史子, 堀江 利彦, 中川 正樹, 日本教育工学会 2024年春季全国大会, 2024年3月.
- TabIQA: Table Questions Answering on Business Document Images, Nam Tuan Ly, Phuc Nguyen, Hideaki Takeda, Atsuhiro Takasu, 2023年3月27日.
- 013 Ⅱ論考編 研究成果の活用と関連研究 変体仮名の認識, Hung Tuan Nguyen, Nam Tuan Ly, Kha Cong Nguyen, Cuong Tuan Nguyen, 中川,正樹, 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, pp. 199-202, 2019年3月25日.
- 日本古典籍くずし字文書の文字列認識, 佐藤 旭, 小林 心, Nam Tuan Ly, Nguyen Tuan Cuong, 北本 朝展, 中川 正樹, 人文科学とコンピュータ研究会, vol. 2019-CH-119, 4, pp. 1-4, 2019年2月.
- 古典籍のくずし字をAIが認識, Nam Tuan Ly, Kha Cong Nguyen, プレスリリース（東京農工大学）, 2017年12月.
- Runner-up Award, Competition on Visual Question Answering on Business Document Images, ICDAR2023, 2023.
- Student Award, Tokyo University of Agriculture and Technology, 2018.
- PRMU CH賞、くずし字認識、第116回 人文科学とコンピュータ研究会 - 情報処理学会, 2018.
- 最優秀賞、くずし字認識にチャレンジ！、第21回 PRMUアルゴリズムコンテスト、IEICE パターン認識・メディア理解研究会、2017.
- Best Paper Award (IAPR), The 4th International Workshop on Historical Document Imaging and Processing (HIP 2017), 2017.
- Student Award, Tokyo University of Agriculture and Technology, 2018.
- PRMU CH賞、くずし字認識、第116回 人文科学とコンピュータ研究会 - 情報処理学会, 2018.
- 最優秀賞、くずし字認識にチャレンジ！、第21回 PRMUアルゴリズムコンテスト、IEICE パターン認識・メディア理解研究会、2017.
- Best Paper Award (IAPR), The 4th International Workshop on Historical Document Imaging and Processing (HIP 2017), 2017.
[Program committee member]
- The Conference on Neural Information Processing Systems - NeurIPS, 2026~.
- The European Conference on Computer Vision - ECCV, 2026~.
- The IEEE/CVF Conference on Computer Vision and Pattern Recognition - CVPR, 2025~.
- The International Conference on Document Analysis and Recognition - ICDAR, 2023~.
- The Workshop on Intelligent Cross-Data Analysis and Retrieval, ICMR, 2023.
- The International Conference on Computational Collective Intelligence (ICCCI), 2020.
[Journal review member]
- Pattern Recognition, 2024~.
- Applied Soft Computing Journal, 2024~.
- ACM Computing Surveys, 2023~.
- Engineering Applications of Artificial Intelligence, 2023~.
- International Journal on Document Analysis and Recognition, 2022~.
- Expert Systems With Applications, 2022~.
[Professional Memberships]
- International Association for Pattern Recognition, 2023~.
- 電子情報通信学会, 2023~.
- The Conference on Neural Information Processing Systems - NeurIPS, 2026~.
- The European Conference on Computer Vision - ECCV, 2026~.
- The IEEE/CVF Conference on Computer Vision and Pattern Recognition - CVPR, 2025~.
- The International Conference on Document Analysis and Recognition - ICDAR, 2023~.
- The Workshop on Intelligent Cross-Data Analysis and Retrieval, ICMR, 2023.
- The International Conference on Computational Collective Intelligence (ICCCI), 2020.
[Journal review member]
- Pattern Recognition, 2024~.
- Applied Soft Computing Journal, 2024~.
- ACM Computing Surveys, 2023~.
- Engineering Applications of Artificial Intelligence, 2023~.
- International Journal on Document Analysis and Recognition, 2022~.
- Expert Systems With Applications, 2022~.
[Professional Memberships]
- International Association for Pattern Recognition, 2023~.
- 電子情報通信学会, 2023~.
連絡先
研究室
Room 9-432
オフィスアワー
By appointment
内線番号
内線4442
メールアドレス
namly●tmu.ac.jp
（メールを送信される場合は●を@に変換してください）
