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ORCIDYounghee Kwon
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Journal Articles
- 2015
[j3]Younghee Kwon, Kwang In Kim, James Tompkin
, Jin Hyung Kim, Christian Theobalt:
Efficient Learning of Image Super-Resolution and Compression Artifact Removal with Semi-Local Gaussian Processes. IEEE Trans. Pattern Anal. Mach. Intell. 37(9): 1792-1805 (2015)- 2011
- [j2]Biswapesh Chattopadhyay, Liang Lin, Weiran Liu, Sagar Mittal, Prathyusha Aragonda, Vera Lychagina, Younghee Kwon, Michael Wong:
Tenzing A SQL Implementation On The MapReduce Framework. Proc. VLDB Endow. 4(12): 1318-1327 (2011) - 2010
- [j1]Kwang In Kim, Younghee Kwon:
Single-Image Super-Resolution Using Sparse Regression and Natural Image Prior. IEEE Trans. Pattern Anal. Mach. Intell. 32(6): 1127-1133 (2010)
Conference and Workshop Papers
- 2012
- [c6]Younghee Kwon, Kwang In Kim, Jin Kim, Christian Theobalt:
Efficient Learning-based Image Enhancement: Application to Super-resolution and Compression Artifact Removal. BMVC 2012: 1-12 - 2008
- [c5]Kwang In Kim, Younghee Kwon:
Example-Based Learning for Single-Image Super-Resolution. DAGM-Symposium 2008: 456-465 - [c4]Battulga Bayarsaikhan, Younghee Kwon, Jin Hyung Kim:
Anisotropic Total Variation Method for Text Image Super-Resolution. Document Analysis Systems 2008: 473-479 - 2006
- [c3]Jinsik Kim, Seonghun Lee, Younghee Kwon, Jin Hyung Kim:
Stroke Verification with Gray-level Image for Hangul Video Text Recognition. ICPR (2) 2006: 1074-1077 - 2005
- [c2]Jangkyun Park, Younghee Kwon, Jin Hyung Kim:
An Example-based Prior Model for Text Image Super-resolution. ICDAR 2005: 374-378 - 2004
- [c1]Matthias O. Franz, Younghee Kwon, Carl Edward Rasmussen, Bernhard Schölkopf:
Semi-supervised Kernel Regression Using Whitened Function Classes. DAGM-Symposium 2004: 18-26
Coauthor Index
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