Kim, Kwang In
Kim, Kwang In
School of Electrical and Computer Engineering, UNIST
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Cited by
Cited by
Text information extraction in images and video: a survey
K Jung, KI Kim, AK Jain
Pattern recognition 37 (5), 977-997, 2004
Single-image super-resolution using sparse regression and natural image prior
KI Kim, Y Kwon
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 32 (6 …, 2010
Face recognition using kernel principal component analysis
KI Kim, K Jung, HJ Kim
IEEE Signal Processing Letters 9 (2), 40-42, 2002
Texture-based approach for text detection in images using support vector machines and continuously adaptive mean shift algorithm
KI Kim, K Jung, JH Kim
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 25 …, 2003
Support vector machines for texture classification
KI Kim, K Jung, SH Park, HJ Kim
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 24 …, 2002
Iterative kernel principal component analysis for image modeling
KI Kim, MO Franz, B Scholkopf
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 27 (9 …, 2005
Learning-based approach for license plate recognition
KK Kim, KI Kim, JB Kim, HJ Kim
IEEE Signal Processing Society Workshop on Neural Networks for Signal …, 2000
Locating car license plates using neural networks
SH Park, KI Kim, K Jung, HJ Kim
Electronics Letters 35 (17), 1475-1477, 1999
Color texture-based object detection: an application to license plate localization
KI Kim, K Jung, JH Kim
International Workshop on Support Vector Machines, 293-309, 2002
Example-based learning for single-image super-resolution
KI Kim, Y Kwon
Joint Pattern Recognition Symposium (DAGM), 456-465, 2008
Semi-supervised regression using Hessian energy with an application to semi-supervised dimensionality reduction
KI Kim, F Steinke, M Hein
Neural Information Processing Systems (NIPS), 979-987, 2009
Background inpainting for videos with dynamic objects and a free-moving camera
M Granados, KI Kim, J Tompkin, J Kautz, C Theobalt
European Conference on Computer Vision (ECCV), 682-695, 2012
Sparse multiscale Gaussian process regression
C Walder, KI Kim, B Schölkopf
International Conference on Machine Learning (ICML), 1112-1119, 2008
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 (TPAMI) 37 (9 …, 2015
How not to be seen—object removal from videos of crowded scenes
M Granados, J Tompkin, KI Kim, O Grau, J Kautz, C Theobalt
Computer Graphics Forum 31 (2pt1), 219-228, 2012
Unsupervised attention-guided image to image translation
YA Mejjati, C Richardt, J Tompkin, D Cosker, KI Kim
Neural Information Processing Systems (NeurIPS), 3693-3703, 2018
Automatic 3D face reconstruction from single images or video
P Breuer, KI Kim, W Kienzle, B Scholkopf, V Blanz
IEEE International Conference on Automatic Face & Gesture Recognition, 1-8, 2008
NoRM: No‐reference image quality metric for realistic image synthesis
R Herzog, M Čadík, TO Aydčin, KI Kim, K Myszkowski, HP Seidel
Computer Graphics Forum 31 (2pt3), 545-554, 2012
Videoscapes: exploring sparse, unstructured video collections
J Tompkin, KI Kim, J Kautz, C Theobalt
ACM Transactions on Graphics (TOG) 31 (4), 1-12, 2012
Text scanner with text detection technology on image sequences
K Jung, KI Kim, T Kurata, M Kourogi, JH Han
IEEE International Conference on Pattern Recognition 3, 473-476, 2002
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