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Jiwon Kim
Jiwon Kim
SK Telecom
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Title
Cited by
Cited by
Year
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
76612016
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
31482016
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
25482017
Continual learning with deep generative replay
H Shin, JK Lee, J Kim, J Kim
Advances in neural information processing systems 30, 2017
20162017
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
1102011
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
882020
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
402013
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
332018
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
312015
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
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
Restore from restored: Video restoration with pseudo clean video
S Lee, D Cho, J Kim, TH Kim
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern ¡¦, 2021
152021
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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Articles 1–20