Difference between revisions of "Chaerin Kong"

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<li> '''Chaerin Kong''', Jeesoo Kim, Donghoon Han, Nojun Kwak, "Few-shot Image Generation with Mixup-based Distance Learning", '''ECCV, Oct. 2022.''' </li>
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<li> '''Chaerin Kong''', Jeesoo Kim, Donghoon Han, Nojun Kwak, [https://arxiv.org/abs/2111.11672 "Few-shot Image Generation with Mixup-based Distance Learning"], '''ECCV, Oct. 2022.''' </li>
  
 
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Revision as of 09:16, 8 July 2022

Chaerin.jpeg Chaerin Kong (공채린)

서울대학교 지능정보융합학과 석사과정 (2021.09.01 ~)
서울대학교 융합과학부 인턴 (2021.1.1 ~ 2021.2.26)
서울대학교 경영학과/통계학과 졸업 (2015.3 ~ 2021.8)
e-mail : rin4616@gmail.com
LinkedIn, GitHub

Research Interest: Generative Models, Vision-Language, Few-shot Learning

Work Experience

  • Research Intern at Language and Vision Team, NAVER Corp. 2022.04 ~
  • Research Intern at AIIS, 2020.07 ~ 2020.08
  • Intern at Bemypet, 2020.01 ~ 2020.02
  • Intern at Woowa Brothers Corp. 2019.08 ~ 2019.12

    Publication

    International Conferences


    Under Review
    • Chaerin Kong, Nojun Kwak, "Conservative Generator, Progressive Discriminator: Coordination of Adversaries in Incremental Few-shot Image Synthesis", June, 2022
    • Yeji Song, Chaerin Kong, Seo Young Lee, Joonseok Lee, Nojun Kwak, "Towards Efficient Neural Scene Graphs by Learning Consistency Fields", March, 2022
    • Jiho Jang, Seonhoon Kim, KiYoon Yoo, Chaerin Kong, Jangho Kim, Nojun Kwak, "Self-Distilled Self-Supervised Representation Learning", Nov, 2021