Difference between revisions of "Yeonjin Chang"

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−	Hojun Lee*, Donghwan Yun, '''Jayeon Yoo*''', Kiyoon Yoo*, Yong Chul Kim, Dong Ki Kim, Kook-Hwan Oh, Kwon Wook Joo, Yon Su Kim, Nojun Kwak*, Seung Seok Han, "[https://cjasn.asnjournals.org/content/16/3/396 Deep Learning Model for Real-Time Prediction of Intradialytic Hypotension]", Clinical Journal of the American Society of Nephrology, March 2021, accepted	+	Seunghyeon Seo, '''Yeonjin Chang''', Nojun Kwak, "FlipNeRF: Flipped Reflection Rays for Few-shot Novel View Synthesis", '''ICCV 2023'''. ([https://shawn615.github.io/flipnerf/ Project Page])
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Revision as of 11:16, 11 December 2023

Yeonjin Chang (장연진) 서울대학교 지능정보융합학과 석박사통합과정 (2022.03 ~ ) 서울대학교 지능정보융합학과 인턴 (2021.07 ~ 2022.02) 서울대학교 물리천문학부/산업공학과 학사 졸업 (2017.03 ~ 2022.02) e-mail : yjean8315@snu.ac.kr Research Page Google Scholar LinkedIn Github

Research Interests

3D Computer Vision, Neural Rendering

Education

• Sep. 2019 ~ Present:

  M.S./Ph.D. Student in Graduate School of Convergence Science and Technology, Seoul National University, Korea.

• Jan. 2020 ~ May. 2020:

  Visiting Student in Language Technologies Institute School of Computer Science, Carnegie Mellon University, U.S.

• Mar. 2011 ~ Aug. 2016:

  B.S. in Industrial Management Engineering, POSTECH(Pohang University of Science and Technology), Korea.

Publications

International Conferences

• Yeonjin Chang, Yearim Kim, Seunghyeon Seo, Jung Yi, Nojun Kwak, "Fast Sun-aligned Outdoor Scene Relighting based on TensoRF", IEEE/CVF Winter Conference on Applications of Computer Vision 2024 (WACV 2024), Jan. 2024 (accepted, arXiv)
• Seunghyeon Seo, Yeonjin Chang, Nojun Kwak, "FlipNeRF: Flipped Reflection Rays for Few-shot Novel View Synthesis", ICCV 2023. (Project Page)

Work Experience

• Aug 2016 ~ Jul 2019:

  Data Scientist for Recommender System at RECOBELL, Korea.