News

Sep 4, 2019

Our paper “Unsupervised Keypoint Learning for Guiding Class-Conditional Video Prediction” has been accepted to NeurIPS 2019!

Jun 1, 2019

I started working with Adobe Research through a university collaboration program of Adobe Research.

Feb 25, 2019

Our paper “End-to-End Time-Lapse Video Synthesis from a Single Outdoor Image” has been accepted to CVPR 2019!

Bio

I'm a Computer Science Ph.D. candidate 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 as a software engineer.
In the summer of 2018, I worked at Snap Research as a research intern.
For more information, please refer to my CV.

  • NAVER Ph.D. Fellowship
    NAVER Corporation
    2017
  • 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

Unsupervised Keypoint Learning for Guiding Class-Conditional Video Prediction

Yunji Kim, Seonghyeon Nam, In Cho, Seon Joo Kim
Proc. Advances in Neural Information Processing Systems (NeurIPS) 2019
[pdf]  [github]

End-to-End Time-Lapse Video Synthesis from a Single Outdoor Image

Seonghyeon Nam, Chongyang Ma, Menglei Chai, William Brendel, Ning Xu, Seon Joo Kim
Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019
[pdf] [supp]

Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language

Seonghyeon Nam, Yunji Kim, Seon Joo Kim
Proc. Advances in Neural Information Processing Systems 32 (NeurIPS) 2018
[Spotlight (168/4856, acceptance rate 3.5%)]
[pdf] [supp]  [github]  [bibtex]

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] [supp]  [bibtex]

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.