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!
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.
Deep Semantics-Aware Photo Adjustment
Seonghyeon Nam, Seon Joo Kim
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]
Please contact me if you have any questions about my publication or anything.