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Rethinking the Truly Unsupervised Image-to-Image Translation

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

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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

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

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

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

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

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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 

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StarGAN v2: Diverse Image Synthesis for Multiple Domains

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

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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

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Photorealistic Style Transfer via Wavelet Transforms

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

* Code and data: 

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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: 

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A Mathematical Framework for Deep Learning in Elastic Source Imaging

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

* 28 pages, 14 figures 

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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 

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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 

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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 

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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

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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 : 

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Deep artifact learning for compressed sensing and parallel MRI

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

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

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

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