Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Jaejun Yoo

Rethinking the Truly Unsupervised Image-to-Image Translation


Jun 11, 2020
Kyungjune Baek, Yunjey Choi, Youngjung Uh, Jaejun Yoo, Hyunjung Shim


  Access Paper or Ask Questions

NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results


May 05, 2020
Andreas Lugmayr, Martin Danelljan, Radu Timofte, Namhyuk Ahn, Dongwoon Bai, Jie Cai, Yun Cao, Junyang Chen, Kaihua Cheng, SeYoung Chun, Wei Deng, Mostafa El-Khamy, Chiu Man Ho, Xiaozhong Ji, Amin Kheradmand, Gwantae Kim, Hanseok Ko, Kanghyu Lee, Jungwon Lee, Hao Li, Ziluan Liu, Zhi-Song Liu, Shuai Liu, Yunhua Lu, Zibo Meng, Pablo Navarrete Michelini, Christian Micheloni, Kalpesh Prajapati, Haoyu Ren, Yong Hyeok Seo, Wan-Chi Siu, Kyung-Ah Sohn, Ying Tai, Rao Muhammad Umer, Shuangquan Wang, Huibing Wang, Timothy Haoning Wu, Haoning Wu, Biao Yang, Fuzhi Yang, Jaejun Yoo, Tongtong Zhao, Yuanbo Zhou, Haijie Zhuo, Ziyao Zong, Xueyi Zou


  Access Paper or Ask Questions

Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy


Apr 23, 2020
Jaejun Yoo, Namhyuk Ahn, Kyung-Ah Sohn


  Access Paper or Ask Questions

SimUSR: A Simple but Strong Baseline for Unsupervised Image Super-resolution


Apr 23, 2020
Namhyuk Ahn, Jaejun Yoo, Kyung-Ah Sohn


  Access Paper or Ask Questions

Reliable Fidelity and Diversity Metrics for Generative Models


Feb 23, 2020
Muhammad Ferjad Naeem, Seong Joon Oh, Youngjung Uh, Yunjey Choi, Jaejun Yoo

* First two authors have contributed equally 

  Access Paper or Ask Questions

StarGAN v2: Diverse Image Synthesis for Multiple Domains


Dec 04, 2019
Yunjey Choi, Youngjung Uh, Jaejun Yoo, Jung-Woo Ha


  Access Paper or Ask Questions

Neural Approximation of an Auto-Regressive Process through Confidence Guided Sampling


Oct 15, 2019
YoungJoon Yoo, Sanghyuk Chun, Sangdoo Yun, Jung-Woo Ha, Jaejun Yoo


  Access Paper or Ask Questions

Photorealistic Style Transfer via Wavelet Transforms


Mar 23, 2019
Jaejun Yoo, Youngjung Uh, Sanghyuk Chun, Byeongkyu Kang, Jung-Woo Ha

* Code and data: https://github.com/ClovaAI/WCT2 

  Access Paper or Ask Questions

Large-Scale Answerer in Questioner's Mind for Visual Dialog Question Generation


Feb 22, 2019
Sang-Woo Lee, Tong Gao, Sohee Yang, Jaejun Yoo, Jung-Woo Ha

* Accepted for ICLR 2019. Camera ready version. Our code is publically available: https://github.com/naver/aqm-plus 

  Access Paper or Ask Questions

A Mathematical Framework for Deep Learning in Elastic Source Imaging


May 25, 2018
Jaejun Yoo, Abdul Wahab, Jong Chul Ye

* 28 pages, 14 figures 

  Access Paper or Ask Questions

Deep Residual Learning for Accelerated MRI using Magnitude and Phase Networks


Apr 02, 2018
Dongwook Lee, Jaejun Yoo, Sungho Tak, Jong Chul Ye

* This paper will appear in IEEE Trans. Biomedical Engineering, Special Section on Deep Learning 

  Access Paper or Ask Questions

Deep Convolutional Framelet Denosing for Low-Dose CT via Wavelet Residual Network


Mar 28, 2018
Eunhee Kang, Jaejun Yoo, Jong Chul Ye

* This will appear in IEEE Transaction on Medical Imaging, a special issue of Machine Learning for Image Reconstruction 

  Access Paper or Ask Questions

Deep Learning with Domain Adaptation for Accelerated Projection-Reconstruction MR


Jan 09, 2018
Yo Seob Han, Jaejun Yoo, Jong Chul Ye

* This paper has been accepted and will soon appear in Magnetic Resonance in Medicine 

  Access Paper or Ask Questions

Deep Learning Can Reverse Photon Migration for Diffuse Optical Tomography


Dec 04, 2017
Jaejun Yoo, Sohail Sabir, Duchang Heo, Kee Hyun Kim, Abdul Wahab, Yoonseok Choi, Seul-I Lee, Eun Young Chae, Hak Hee Kim, Young Min Bae, Young-wook Choi, Seungryong Cho, Jong Chul Ye


  Access Paper or Ask Questions

Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification


Jun 08, 2017
Woong Bae, Jaejun Yoo, Jong Chul Ye

* Accepted at CVPRW 2017 source code : https://github.com/iorism/CNN.git 

  Access Paper or Ask Questions

Deep artifact learning for compressed sensing and parallel MRI


Mar 03, 2017
Dongwook Lee, Jaejun Yoo, Jong Chul Ye


  Access Paper or Ask Questions

Deep Residual Learning for Compressed Sensing CT Reconstruction via Persistent Homology Analysis


Nov 25, 2016
Yo Seob Han, Jaejun Yoo, Jong Chul Ye


  Access Paper or Ask Questions