Kim, Kwang In

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James TompkinBrown UniversityVerified email at brown.edu
Christian TheobaltProfessor, Max Planck Institute for Informatics, Saarland Informatics Campus, Saarland UniversityVerified email at mpi-inf.mpg.de
Younghee KwonGoogleVerified email at google.com
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH Zürich, and DistinguishedVerified email at tuebingen.mpg.de
Jan KautzVice President of Research, NVIDIA ResearchVerified email at nvidia.com
Tae-Kyun (T-K) KimKAIST, Imperial College LondonVerified email at imperial.ac.uk
Hans-Peter SeidelProfessor of Computer Science, Max Planck Institute for Informatics, Saarland Informatics CampusVerified email at mpi-inf.mpg.de
Youssef Alami MejjatiUniversity of BathVerified email at bath.ac.uk
Christian RichardtAssociate Professor, University of BathVerified email at bath.ac.uk
Hanspeter PfisterAn Wang Professor of Computer Science, Harvard UniversityVerified email at seas.harvard.edu
Ahmed ElhayekUniversity of Prince MugrinVerified email at dfki.de
Helge RhodinAssistant Professor at UBCVerified email at cs.ubc.ca
Carsten StollEpic GamesVerified email at motionin.space
Florian SteinkeProfessor, Energy Information Networks & Systems, TU DarmstadtVerified email at eins.tu-darmstadt.de
Matthias HeinProfessor of Computer Science, University of TübingenVerified email at uni-tuebingen.de
Kiran VaranasiHTWK LeipzigVerified email at htwk-leipzig.de
Nils HaslerThe CapturyVerified email at mpi-inf.mpg.de
Christian WalderCSIRO DATA61Verified email at data61.csiro.au
Volker BlanzProfessor of Computer Science, Universitaet SiegenVerified email at informatik.uni-siegen.de
Edilson de AguiarComputer Vision ResearcherVerified email at vicarious.com

Kim, Kwang In

Graduate School of Artificial Intelligence & Dept. Computer Science and Engineering, UNIST

Verified email at unist.ac.kr - Homepage

Machine Learning Computer Vision Computer Graphics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Text information extraction in images and video: a survey K Jung, KI Kim, AK Jain Pattern recognition 37 (5), 977-997, 2004	1180	2004
Face recognition using kernel principal component analysis KI Kim, K Jung, HJ Kim IEEE Signal Processing Letters 9 (2), 40-42, 2002	957	2002
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	915	2010
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	614	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	505	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	355	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	305	2000
Locating car license plates using neural networks SH Park, KI Kim, K Jung, HJ Kim Electronics Letters 35 (17), 1475-1477, 1999	236	1999
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	200	2018
Example-based learning for single-image super-resolution KI Kim, Y Kwon Joint Pattern Recognition Symposium (DAGM), 456-465, 2008	175	2008
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	173	2002
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	109	2009
Supplementary material of "Semi-supervised regression using Hessian energy with an application to semi-supervised dimensionality reduction" KI Kim, F Steinke, M Hein	109*
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	105	2012
Pushing the envelope for RGB-based dense 3D hand pose estimation via neural rendering S Baek, KI Kim, TK Kim IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1067-1076, 2019	92	2019
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	76	2012
Sparse multiscale Gaussian process regression C Walder, KI Kim, B Schölkopf International Conference on Machine Learning (ICML), 1112-1119, 2008	76	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	74	2015
Automatic noise modeling for ghost-free HDR reconstruction M Granados, KI Kim, J Tompkin, C Theobalt ACM Transactions on Graphics (TOG) 32 (6), 1-10, 2013	61	2013
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	61	2008

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