Younghee Kwon
Younghee Kwon
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Title
Cited by
Cited by
Year
Single-image super-resolution using sparse regression and natural image prior
KI Kim, Y Kwon
IEEE transactions on pattern analysis and machine intelligence 32 (6), 1127-1133, 2010
7862010
Tenzing: A SQL Implementation On the MapReduce Framework
B Chattopadhyay, L Lin, W Liu, S Mittal, P Aragonda, V Lychagina, ...
Proceedings of the VLDB Endowment 4 (12), 1318-1327, 2011
1722011
Example-based learning for single-image super-resolution
KI Kim, Y Kwon
Pattern Recognition, 456-465, 2008
1672008
Efficient learning of image super-resolution and compression artifact removal with semi-local Gaussian processes
Y Kwon, KI Kim, J Tompkin, JH Kim, C Theobalt
IEEE transactions on pattern analysis and machine intelligence 37 (9), 1792-1805, 2015
652015
Example-based learning for single-image super-resolution and JPEG artifact removal
KI Kim, Y Kwon
Max Planck Institute for Biological Cybernetics, 2008
412008
An example-based prior model for text image super-resolution
J Park, Y Kwon, JH Kim
Eighth International Conference on Document Analysis and Recognition (ICDAR …, 2005
302005
Efficient learning-based image enhancement: application to super-resolution and compression artifact removal
Y Kwon, KI Kim, JH Kim, C Theobalt
42012
Efficient learning-based image enhancement: application to compression artifact removal and super-resolution
KI Kim, Y Kwon, JH Kim, C Theobalt
Max-Planck-Institut für Informatik, 2011
42011
Anisotropic total variation method for text image super-resolution
B Bayarsaikhan, Y Kwon, JH Kim
2008 The Eighth IAPR International Workshop on Document Analysis Systems …, 2008
22008
Suppressing artifacts in block DCT coded images based on re-encoding, regression, and image prior
Y Kwon, KI Kim, JH Kim
KAIST Department of Computer Science Technical Reports., CS-TR-2008 293, 2008
12008
Supplementary Material for “Efficient Learning-based Image Enhancement: Application to Super-resolution and Compression Artifact Removal”
Y Kwon, KI Kim, JH Kim, C Theobalt
Supplementary Material for” Single-Image Super-resolution Using Sparse Regression and Natural Image Prior”
KI Kim, Y Kwon
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Articles 1–12