Tech Verse 2022
Day 1 - JST
Presentation language Ja Interpretation languages En, Ko

Computer Vision: Current Conditions and Possibilities for Service Handling

Data / AI
Download ICS file Add Google Calendar

Computer Vision (CV) is a technology which uses image data processing to achieve visual processing identical to humans. In recent years, it is used in combination with various other fields such as natural language processing and sound processing to expand its handling capabilities. At LINE, Yahoo! JAPAN, and ZOZO, the results of fundamental research are being utilized for purposes such as developing new service plans and implementing new functions, linking to the creation of new value.

At this panel discussion, three researchers promoting the utilization of CV technology at each of the companies will share the latest usage case studies and their visions for the future.

Speakers

  • Yamato Okamoto / LINE

    Computer Vision Lab Team

    AI Researcher

    • Twitter url

    Yamato Okamoto joined LINE Corporation in 2021 as a founding member of the newly-established Computer Vision Lab. Yamato studied image recognition at Kyoto University, and worked in new business creation before taking on dual roles in both technology and business. Yamato is in charge of R&D for CLOVA OCR, which recognizes text from document images. Yamato’s ,  motto is "if you want a different result, it’s crazy not to change your ways”. Yamato works hard every day, striving to make the research center a place people will aspire to work at. Yamato also enjoys playing rugby.

    Yamato Okamoto

  • Kenji Doi / Yahoo! JAPAN

    Science Group, Technology Group

    Machine Learning Engineer

    • Twitter url
    • GitHub url

    Kenji Doi is involved in the development of image recognition technology in collaboration with various in-house services such as similarity image search and OCR, as well as the application of new methods and technologies that are released on a daily basis.

    Kenji studies discriminative and generative modeling of Ramen Jiro as a personal project.

    Kenji Doi

  • Tomoya Kose / ZOZO

    ML / Data Department, Data Science Section 2

    Machine Learning Engineer

    Tomoya Kose completed a master’s course at the Nara Institute of Science and Technology in 2014, studying natural language processing. Tomoya joined ZOZO in 2018 as a result of a corporate merger, and has since worked in the computer vision field. Tomoya is involved in developing the models used in similar image searches on ZOZOTOWN, maintenance of development flows related to machine learning, and the management of the machine learning engineer team.

    Tomoya Kose