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Jiwon Kim
Jiwon Kim
SK Telecom
Geverifieerd e-mailadres voor sk.com
Titel
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Jaar
Accurate image super-resolution using very deep convolutional networks
J Kim, JK Lee, KM Lee
Proceedings of the IEEE conference on computer vision and pattern …, 2016
74782016
Deeply-recursive convolutional network for image super-resolution
J Kim, JK Lee, KM Lee
Proceedings of the IEEE conference on computer vision and pattern …, 2016
30682016
Learning to discover cross-domain relations with generative adversarial networks
T Kim, M Cha, H Kim, JK Lee, J Kim
International conference on machine learning, 1857-1865, 2017
25032017
Continual learning with deep generative replay
H Shin, JK Lee, J Kim, J Kim
Advances in neural information processing systems 30, 2017
19342017
Three dimensional image generating system and method accomodating multi-view imaging
YJ Jung, H Wang, JW Kim, G Ma, X Mei, DS Park
US Patent App. 13/100,905, 2011
1082011
A novel 2D-to-3D conversion technique based on relative height-depth cue
YJ Jung, A Baik, J Kim, D Park
Stereoscopic Displays and Applications XX 7237, 589-596, 2009
1082009
Fast adaptation to super-resolution networks via meta-learning
S Park, J Yoo, D Cho, J Kim, TH Kim
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
822020
Auto-meta: Automated gradient based meta learner search
J Kim, S Lee, S Kim, M Cha, JK Lee, Y Choi, Y Choi, DY Cho, J Kim
arXiv preprint arXiv:1806.06927, 2018
492018
Unsupervised visual attribute transfer with reconfigurable generative adversarial networks
T Kim, B Kim, M Cha, J Kim
arXiv preprint arXiv:1707.09798, 2017
462017
Apparatus, method and computer-readable medium generating depth map
JW Kim, G Ma, H Wang, W Xiying, JY Kim, YJ Jung
US Patent 8,553,972, 2013
392013
2D-to-3D conversion by using visual attention analysis
J Kim, A Baik, YJ Jung, D Park
Stereoscopic Displays and Applications XXI 7524, 368-379, 2010
342010
Meta continual learning
R Vuorio, DY Cho, D Kim, J Kim
arXiv preprint arXiv:1806.06928, 2018
312018
Method and apparatus for estimating depth, and method and apparatus for converting 2D video to 3D video
A Baik, YJ Jung, JW Kim, D Park
US Patent 9,137,512, 2015
302015
Consistent depth maps recovery from a trinocular video sequence
W Yang, G Zhang, H Bao, J Kim, HY Lee
2012 IEEE Conference on Computer Vision and Pattern Recognition, 1466-1473, 2012
262012
Learning to discover cross-domain relations with generative adversarial networks. arXiv 2017
T Kim, M Cha, H Kim, JK Lee, J Kim
arXiv preprint arXiv:1703.05192, 0
22
Method and apparatus for recovering depth information of image
J Kim, G Zhang, DS Park, HY Lee, H Bao, W Yang
US Patent 8,855,408, 2014
212014
Conversion device and method converting a two dimensional image to a three dimensional image
JW Kim, YJ Jung, D Park, A Baik, YJ Jeong
US Patent App. 12/801,514, 2010
172010
Conversion device and method converting a two dimensional image to a three dimensional image
JW Kim, YJ Jung, D Park, A Baik, YJ Jeong
US Patent App. 12/801,514, 2010
172010
Three-dimensional image generation apparatus and method using region extension of object in depth map
YJ Jeong, YJ Jung, DS Park, AR Baik, JW Kim
US Patent 10,163,246, 2018
162018
2D-to-3D image/video conversion by using visual attention analysis
J Kim, A Baik, Y Jung, D Park
Int’Conf. on Image Processing (ICIP), 2009
152009
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Artikelen 1–20