26 citations · 53 across the 4 of their papers we have counts for
4 papers
Federated CycleGAN for Privacy-Preserving Image-to-Image Translation
Joonyoung Song, Jong Chul Ye
Unsupervised image-to-image translation methods such as CycleGAN learn to convert images from one domain to another using unpaired training data sets from different domains. Unfort…
PyNET-CA: Enhanced PyNET with Channel Attention for End-to-End Mobile Image Signal Processing
Byung-Hoon Kim, Joonyoung Song, Jong Chul Ye +1
Reconstructing RGB image from RAW data obtained with a mobile device is related to a number of image signal processing (ISP) tasks, such as demosaicing, denoising, etc. Deep neural…
AIM 2020 Challenge on Learned Image Signal Processing Pipeline
Andrey Ignatov, Radu Timofte, Zhilu Zhang +36
This paper reviews the second AIM learned ISP challenge and provides the description of the proposed solutions and results. The participating teams were solving a real-world RAW-to…
Unsupervised Denoising for Satellite Imagery using Wavelet Subband CycleGAN
Joonyoung Song, Jae-Heon Jeong, Dae-Soon Park +3
Multi-spectral satellite imaging sensors acquire various spectral band images such as red (R), green (G), blue (B), near-infrared (N), etc. Thanks to the unique spectroscopic prope…