• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to previous page

Yanagi Rintarou  柳 凜太郎

ORCIDConnect your ORCID iD *help
… Alternative Names

柳 凜太郎  ヤナギ リンタロウ

Less
Researcher Number 51004444
Affiliation (Current) 2026: 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 研究員
Affiliation (based on the past Project Information) *help 2024: 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 研究員
Review Section/Research Field
Except Principal Investigator
Medium-sized Section 61:Human informatics and related fields
Keywords
Except Principal Investigator
継続事前学習 / 少量実データ / AI基盤モデル / 人工生成データ
  • Research Projects

    (1 results)
  • Research Products

    (1 results)
  • Co-Researchers

    (2 People)
  •  人工生成データ及び少量実データの継続事前学習による限定資源下でのAI基盤モデル構築

    • Principal Investigator
      片岡 裕雄
    • Project Period (FY)
      2024 – 2027
    • Research Category
      Fund for the Promotion of Joint International Research (International Collaborative Research)
    • Review Section
      Medium-sized Section 61:Human informatics and related fields
    • Research Institution
      National Institute of Advanced Industrial Science and Technology

All 2025

All Presentation

  • [Presentation] GASR: Generated Artwork dataset for Image Super-Resolution2025

    • Author(s)
      Noritake Kodama, Go Ohtani, Yuto Matsuo, Rintaro Yanagi, Nakamasa Inoue, Yoshimitsu Aoki, Hirokatsu Kataoka
    • Organizer
      CVPR 2025 Workshop on Synthetic Data for Computer Vision
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-24KK0188
  • 1.  片岡 裕雄 (70784883)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 1 results
  • 2.  横田 理央 (20760573)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results

URL: 

Are you sure that you want to link your ORCID iD to your KAKEN Researcher profile?
* This action can be performed only by the researcher himself/herself who is listed on the KAKEN Researcher’s page. Are you sure that this KAKEN Researcher’s page is your page?

この研究者とORCID iDの連携を行いますか?
※ この処理は、研究者本人だけが実行できます。

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi