Nam Tuan Ly

Nam Tuan Ly

Assistant Professor at Tokyo University of Agriculture and Technology

Welcome to Nam Tuan Ly’s academic website

About me

I’m an assistant professor of Computer Science at Tokyo University of Agriculture and Technology (Japan). Previously, I was a postdoc at National Institute of Informatics (Japan) and a visiting scholar at Centre for Pattern Recognition and Machine Intelligence, Concordia University (Canada). I obtained my Ph.D. from the Department of Computer and Information Sciences, Tokyo University of Agriculture and Technology, in Sep. 2021, under the supervision of Prof. Masaki Nakagawa. My research mainly focuses on the topic of Document and Pattern Recognition, including: Document Layout Analysis, Table Recognition, Mathematical Expression Recognition and Text Recognition.

Research Interests

Machine Learning, Deep Learning, Computer Vision, Pattern Recognition, Document Analysis and Recognition, Table Detection and Recognition, Text Detection and Recognition, Mathematical Expression Recognition.

Education

  • Ph.D. Candidate, Tokyo University of Agriculture and Technology, Japan, Oct. 2018 ~ Sep. 2021.

  • M.Sc, Tokyo University of Agriculture and Technology, Japan, Oct. 2016 ~ Sep. 2018.

  • BSc, Hanoi University of Science and Technology, Vietnam, Aug. 2013.

Experience

  • Assistant Professor, Tokyo University of Agriculture and Technology, Japan, Apr. 2023 ~ Present.

  • Postdoctoral Researcher, National Institute of Informatics, Japan, Now. 2021 ~ Mar. 2023.

  • Visiting Researcher, Concordia University, Canada, Oct. 2019 ~ Nov. 2019.

Grants

  • Apr. 2024 ~ Mar. 2027: JSPS KAKENHI Grant number 24K20789, Grant-in-Aid for Early-Career Scientists (Principal Investigator). Link

  • Jul. 2023 ~ Mar. 2024: National Institute of Informatics, ROIS NII Open Collaborative Research 2023 (Principal Investigator).

Selected Publications

  1. Nam-Tuan Ly, Atsuhiro Takasu, “An End-to-End Local Attention Based Model for Table Recognition”, To appear in Proceedings of the 17th IAPR International Conference on Document Analysis and Recognition - ICDAR2023 (CORE rank A), California, USA, 2023.
  2. Nam-Tuan Ly, Hung-Tuan Nguyen, Masaki Nakagawa, “2D Self-attention Convolutional Recurrent Network for Offline Handwritten Text Recognition”, Proceedings of the 16th IAPR International Conference on Document Analysis and Recognition - ICDAR2021 (CORE rank A), Lausanne, Switzerland, 2021 [Link].
  3. Nam-Tuan Ly, Cuong-Tuan Nguyen, Masaki Nakagawa, “An attention-based row-column encoder-decoder model for text recognition in Japanese historical documents”, Pattern Recognition Letters (Q1, IF 4.757), Volume 136, Pages 134-141, August 2020 [Link].
  4. Nam-Tuan Ly, Cuong-Tuan Nguyen, Masaki Nakagawa, “An Attention-Based End-to-End Model for Multiple Text Lines Recognition in Japanese Historical Documents”, Proceedings of the 15th IAPR International Conference on Document Analysis and Recognition - ICDAR2019 (CORE rank A), Sydney, Australia, 2019 [Link].
  5. Nam-Tuan Ly, Cuong-Tuan Nguyen, Kha-Cong Nguyen, Masaki Nakagawa, “Recognition of Anomalously Deformed Kana Sequences in Japanese Historical Documents”, IEICE TRANSACTIONS on Information and Systems, Vol.E102-D, No.8, pp.1554-1564, August 2019 [Link].
  6. Nam-Tuan Ly, Cuong-Tuan Nguyen, Kha-Cong Nguyen, Masaki Nakagawa, “Deep Convolutional Recurrent Network for Segmentation-Free Offline Handwritten Japanese Text Recognition”, Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition - ICDAR2017, Kyoto, Japan, 2017 [Link].

My full publications can be found at the publications page or my Google Scholar.

Awards and Honors

Awards

  • Runner-up, Competition on Visual Question Answering on Business Document Images (VQAonBD2023), ICDAR2023, Apr. 2023.
  • Nominees for best student paper award, The 16th International Conference on Frontiers in Handwriting Recognition, Aug. 2018.
  • President’s Award for Students, Tokyo University of Agriculture and Technology, Apr. 2018.
  • PRMU CH Award, “Recognizing anomalously deformed Kana by Deep Convolutional Recurrent Network”, The Special Interest Group of Computers and the Humanities (Information Processing Society of Japan), Feb. 2018.
  • Best Algorithm Award, The 21st PRMU Algorithm Contest, The Special Interest Group of Pattern Recognition and Media Understanding (IEICE Japan), Dec. 2017.
  • The IAPR Best Paper Award, The 4th International Workshop on Historical Document Imaging and Processing (HIP2017), Nov. 2017.

Scholarship

  • JIRITSU, Apr. 2016 ~ Mar. 2017.
  • Hirose International Scholarship Foundation, Apr. 2017 ~ Sep. 2021.

Travel grants

  • ROIS-DS Center for Open Data in the Humanities (CODH), Sydney, Australia, Sep. 2019.
  • ROIS-DS Center for Open Data in the Humanities (CODH), Hakodate, Hokkaido, Jan. 2018.

Academic Services

  • Program Committee Member:
    • The International Conference on Document Analysis and Recognition (ICDAR), Mar. 2023 - Present.
    • The 4th workshop on Intelligent Cross-Data Analysis and Retrieval, ACM ICMR 2023.
    • Special Session on Deep Learning and Applications for Industry 4.0, ICCCI 2020.
  • Reviewer:
    • Expert Systems with Applications (Journal).
    • Pattern Recognition (Journal).
    • ACM Computing Surveys (Journal).
    • International Journal on Document Analysis and Recognition (IJDAR).
  • Sub-reviewer:
    • IEEE Transactions on Pattern Analysis and Machine Intelligence (Journal).
    • Pattern Recognition Letter(Journal).
    • The International Joint Conference on Artificial Intelligence.
    • The International Conference on Document Analysis and Recognition.
    • The International Conference on Frontiers of Handwriting Recognition.
    • The International Workshop on Historical Document Imaging and Processing.

My completed resume can be found at the CV page.