Author Info
Name
Affiliation
Papers
JAE JUN YOO
Korea Adv Inst Sci & Technol, Bio Imaging Signal Proc Lab, 291 Daehak Ro, Daejeon 34141, South Korea
19
Collaborators
Citations 
PageRank 
160
157
9.48
Referers 
Referees 
References 
681
406
142
Search Limit
100681
Title
Citations
PageRank
Year
Time-Dependent Deep Image Prior for Dynamic MRI40.412021
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results20.372020
Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy00.342020
SimUSR: A Simple but Strong Baseline for Unsupervised Image Super-resolution00.342020
Deep Learning Diffuse Optical Tomography.10.342020
Reliable Fidelity and Diversity Metrics for Generative Models00.342020
StarGAN v2: Diverse Image Synthesis for Multiple Domains80.462020
Large-Scale Answerer in Questioner's Mind for Visual Dialog Question Generation.00.342019
Multi-Domain Processing via Hybrid Denoising Networks for Speech Enhancement.00.342018
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results.771.712018
Deep Residual Learning for Accelerated MRI using Magnitude and Phase Networks.150.602018
Deep Convolutional Framelet Denosing for Low-Dose CT via Wavelet Residual Network.160.642018
A Mathematical Framework for Deep Learning in Elastic Source Imaging10.382018
A Joint Sparse Recovery Framework for Accurate Reconstruction of Inclusions in Elastic Media.10.412017
Deep residual learning for compressed sensing MRI220.802017
Wavelet Residual Network for Low-Dose CT via Deep Convolutional Framelets.00.342017
Deep artifact learning for compressed sensing and parallel MRI.40.562017
Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification.50.432017
Deep Residual Learning for Compressed Sensing CT Reconstruction via Persistent Homology Analysis.10.362016