| 2008 |
|---|
| 12 | EE | Kwang In Kim,
Younghee Kwon:
Example-Based Learning for Single-Image Super-Resolution.
DAGM-Symposium 2008: 456-465 |
| 11 | EE | Pia Breuer,
Kwang In Kim,
Wolf Kienzle,
Bernhard Schölkopf,
Volker Blanz:
Automatic 3D face reconstruction from single images or video.
FG 2008: 1-8 |
| 10 | EE | Christian Walder,
Kwang In Kim,
Bernhard Schölkopf:
Sparse multiscale gaussian process regression.
ICML 2008: 1112-1119 |
| 2005 |
|---|
| 9 | EE | Kwang In Kim,
Matthias O. Franz,
Bernhard Schölkopf:
Iterative Kernel Principal Component Analysis for Image Modeling.
IEEE Trans. Pattern Anal. Mach. Intell. 27(9): 1351-1366 (2005) |
| 2004 |
|---|
| 8 | EE | Keechul Jung,
Kwang In Kim,
Anil K. Jain:
Text information extraction in images and video: a survey.
Pattern Recognition 37(5): 977-997 (2004) |
| 2003 |
|---|
| 7 | EE | Kwang In Kim,
Keechul Jung,
Jin Hyung Kim:
Texture-Based Approach for Text Detection in Images Using Support Vector Machines and Continuously Adaptive Mean Shift Algorithm.
IEEE Trans. Pattern Anal. Mach. Intell. 25(12): 1631-1639 (2003) |
| 2002 |
|---|
| 6 | EE | Keechul Jung,
Kwang In Kim,
JungHyun Han:
Text Scanner with Text Detection Technology on Image Sequences.
ICPR (3) 2002: 473-476 |
| 5 | EE | Kwang In Kim,
Keechul Jung,
Jin Hyung Kim:
Color Texture-Based Object Detection: An Application to License Plate Localization.
SVM 2002: 293-309 |
| 4 | EE | Kwang In Kim,
Keechul Jung,
Se Hyun Park,
Hang Joon Kim:
Support Vector Machines for Texture Classification.
IEEE Trans. Pattern Anal. Mach. Intell. 24(11): 1542-1550 (2002) |
| 3 | EE | Kwang In Kim,
Jin Hyung Kim,
Keechul Jung:
Face Recognition using Support Vector Machines with Local Correlation Kernels.
IJPRAI 16(1): 97-111 (2002) |
| 2001 |
|---|
| 2 | EE | Kwang In Kim,
Keechul Jung,
Se Hyun Park,
Hang Joon Kim:
Support vector machine-based text detection in digital video.
Pattern Recognition 34(2): 527-529 (2001) |
| 1999 |
|---|
| 1 | EE | Jin Wook Kim,
Kwang In Kim,
Bong Joon Choi,
Hang Joon Kim:
Decomposition of Chinese character into strokes using mathematical morphology.
Pattern Recognition Letters 20(3): 285-292 (1999) |
