Sanghyeon Lee
Ph.D. Student
Kim Jaechul School of Artificial Intelligence, KAIST
E-mail: [email protected]
Github: https://github.com/niceDuckgu
Youtube: https://www.youtube.com/channel/UCWr7ESW-7w3W4X3Vwwz18eA
Hello! I am a Ph.D. student at DAVIAN Lab advised by Prof. Jagel Choo at Korea Advanced Institute of Science and Technology (KAIST). I received a B.A. in Economics from Seoul National University in Feb. 2018.
Publications
(C: Conferences, W: Workshops, *: Equal contribution)
Jooyeol Yun*, Sanghyeon Lee*, Minho Park*, and Jaegul Choo
IEEE Winter Conference on Applications of Computer Vision(WACV), 2023, Round 1 Accept (22% acceptance rate).
[C2]: Deep Edge-Aware Interactive Colorization against Color Bleeding Effects
Eungyeup Kim*, Sanghyeon Lee*, Jeonghoon Park*, Somi Choi, Choonghyun Seo, and Jaegul Choo
IEEE International Conference on Computer Vision(ICCV), 2021, Accepted as Oral Presentation (3% acceptance rate).
[C1]: Efficient Adversarial Audio Synthesis via Progressive Upsampling
Youngwoo Cho*, MinwookChang*, Sanghyeon Lee, Hyoungwoo Lee, Gerard Jounghyun Kim and Jaegul Choo
IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP), 2020 (48.0% acceptance rate).
Under Review
Recalibrating Color-Collapse in Point-Interactive Colorization by Localizing Hint Regions
Sanghyeon Lee, Jooyeol Yun, and Jaegul Choo
Education
Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea, Sep. 2021- Present
Ph.D. in Artificial Intelligence
Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea, Sep. 2019 - Oct. 2021
M.S. in Artificial Intelligence
Seoul National University, Seoul, Korea, Mar. 2011 - Feb. 2018
B.A. in Economics
Award
Best Poster Award, KAIST AI Workshop, 2022
Silver medalist at Korean Chemistry Olympiad (KCHO), 2006 & 2007
Research Interest
Personalized deep learning
Computational photography
Human in the loop AI
Image & Sketch colorization