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