Song Park

Song Park

Research Scientist

NAVER AI Lab.

I am interested in interpreting and understanding visual concepts with multiple view points (e.g., mood, emotion, style, texture) to extract better visual representations for real-world downstream tasks.

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Interests
  • Representation Learning
  • Image to Image Translation
  • Style Transfer
Experiences

  • Research Scientist

    NAVER AI Lab

    Jan 2022 - Current

  • Visiting Researcher

    NAVER AI Lab

    Oct 2020 - Sep 2021

  • Research Intern

    NAVER CLOVA

    Mar 2020 - Sep 2020

Education

  • M.S. and Ph.D

    Integrated Technology, Yonsei University

    Mar 2016 - Feb 2022

  • B.S.

    Integrated Technology, Yonsei University

    Mar 2013 - Feb 2016

Publications

Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim (2021). Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts. in ICCV 2021.

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Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim (2021). Few-shot Font Generation with Localized Style Representations and Factorization. in AAAI 2021.

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Joo Hyun Park, Song Park, Hyunjung Shim (2019). Semantic-aware Neural Style Transfer. IMAVIS 2019.

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Junsuk Choe, Song Park, Kyungmin Kim, Joo Hyun Park, Dongseob Kim, Hyunjung Shim (2017). Face generation for low-shot learning using generative adversarial networks. in ICCVW 2017.

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