News

Jul 17, 2017

Our paper “Modelling the Scene Dependent Imaging in Cameras with a Deep Neural Network” has been accepted to ICCV 2017.

Jun 26, 2017

Our paper “Deep Semantics-Aware Photo Adjustment” is now available at arXiv.

Jun 3, 2016

I was awarded an excellent paper award by Dept. of Computer Science, Yonsei University.

Bio

I'm a Computer Science Ph.D. (M.S./Ph.D. integrated course) student at Yonsei University, advised by Prof. Seon Joo Kim. My research interests focus on Computational Photography and Deep Learning. Particularly, I'm interested in Deep Learning based Image Enhancement and Editing.
I received the B.S. degree in Computer Science at Yonsei University, in 2014. Also, I have three years of work experience developing android/server-side applications at two startup companies.
For more information, please refer to my CV.

  • Excellent Paper Award
    Dept. of CS, Yonsei University
    2016
  • Bronze Prize
    22nd Samsung HumanTech Paper Award
    2016
  • Global Ph.D. Fellowship
    National Research Foundation of Korea
    2015-Current

Publication

Modelling the Scene Dependent Imaging in Cameras with a Deep Neural Network

Seonghyeon Nam, Seon Joo Kim
Proc. of International Conference on Computer Vision (ICCV) 2017
[pdf] [supplementary_material]

Deep Semantics-Aware Photo Adjustment

Seonghyeon Nam, Seon Joo Kim
arXiv
[pdf]

A Holistic Approach to Cross-Channel Image Noise Modeling and its Application to Image Denoising

Seonghyeon Nam*, Youngbae Hwang*, Yasuyuki Matsushita, Seon Joo Kim
Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2016
[Spotlight (acceptance rate 9.7%)]
[pdf]  [project page]  [bibtex]

Contact Me

Please contact me if you have any questions about my publication or anything.