Difference between revisions of "Yeonjin Chang"

Revision as of 11:14, 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

3D Computer Vision, Neural Rendering

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.

International Conferences

Yeonjin Chang, Yearim Kim, Seunghyeon Seo, Jung Yi, Nojun Kwak, "Fast Sun-aligned Outdoor Scene Relighting based on TensoRF", WACV 2024.
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, "Deep Learning Model for Real-Time Prediction of Intradialytic Hypotension", Clinical Journal of the American Society of Nephrology, March 2021, accepted

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-Yeonjin Chang, Yearim Kim, '''Seunghyeon Seo''', Jung Yi, Nojun Kwak, "[https://arxiv.org/abs/2311.03965 Fast Sun-aligned Outdoor Scene Relighting based on TensoRF]", '''WACV 2024'''.
+Yeonjin Chang, Yearim Kim, '''Seunghyeon Seo, Jung Yi, Nojun Kwak, "[https://arxiv.org/abs/2311.03965 Fast Sun-aligned Outdoor Scene Relighting based on TensoRF]", '''WACV 2024'''.
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