College of Information and Communication Engineering
- College of Information and Communication Engineering
-
-
Assistant Professor
Machine Learning/Computer Vision
-
PARK, EUNBYUNG
-
-
-
Research Interest
Machine Learning, Computer Vision
Education
-
- 2014~2019:University of North Carolina at Chapel Hill, Computer Science, PhD
-
- 2009~2011: Seoul National University, M.S.
-
- 2002~2009: KyungHee University, B.S.
Experience
-
- 2021~ : Assistant Professor, SungKyunKwan University
-
- 2020~2021: Applied Scientist, Microsoft
-
- 2019~2020: Research Scientist, Nuro
-
- 2018: Research Intern, Google DeepMind
-
- 2017: Research Intern, Microsoft Research
-
- 2016: Research Intern, Adobe Research
-
- 2015: Research Intern, HP Labs
Journal Articles
-
(2022)
Chain Graph Explanation of Neural Network Based on Feature-Level Class Confusion.
APPLIED SCIENCES-BASEL.
12,
3
Conference Paper
-
(2023)
Mip-Grid: Anti-aliased Grid Representations for Neural Radiance Fields.
Conference on Neural Information Processing Systems.
UNITED STATES
-
(2023)
Separable Physics-Informed Neural Networks.
Conference on Neural Information Processing Systems.
UNITED STATES
-
(2023)
FFNeRV: Flow-Guided Frame-Wise Neural Representations for Videos.
ACM Multimedia Conference.
CANADA
-
(2023)
Masked Wavelet Representation for Compact Neural Radiance Fields.
Conference on Computer Vision and Pattern Recognition.
CANADA
-
(2023)
SMPConv: Self-moving Point Representations for Continuous Convolution.
Conference on Computer Vision and Pattern Recognition.
CANADA
-
(2023)
PIXEL: Physics-Informed Cell Representations for Fast and Accurate PDE Solvers.
AAAI Conference on Artificial Intelligence.
UNITED STATES
-
(2022)
Neural Residual Flow Fields for Efficient Video Representations.
Asian Conference on Computer Vision.
CHINA
-
(2022)
Streamable Neural Fields.
European Conference on Computer Vision.
ISRAEL
