Youngjung Kim
Title
Cited by
Cited by
Year
Depth analogy: Data-driven approach for single image depth estimation using gradient samples
S Choi, D Min, B Ham, Y Kim, C Oh, K Sohn
IEEE Transactions on Image Processing 24 (12), 5953-5966, 2015
432015
Deep monocular depth estimation via integration of global and local predictions
Y Kim, H Jung, D Min, K Sohn
IEEE transactions on Image Processing 27 (8), 4131-4144, 2018
322018
Deeply aggregated alternating minimization for image restoration
Y Kim, H Jung, D Min, K Sohn
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
262017
Structure selective depth superresolution for RGB-D cameras
Y Kim, B Ham, C Oh, K Sohn
IEEE Transactions on Image Processing 25 (11), 5227-5238, 2016
232016
Unsupervised deep image fusion with structure tensor representations
H Jung, Y Kim, H Jang, N Ha, K Sohn
IEEE Transactions on Image Processing 29, 3845-3858, 2020
182020
Depth prediction from a single image with conditional adversarial networks
H Jung, Y Kim, D Min, C Oh, K Sohn
2017 IEEE International Conference on Image Processing (ICIP), 1717-1721, 2017
172017
Fast domain decomposition for global image smoothing
Y Kim, D Min, B Ham, K Sohn
IEEE Transactions on Image Processing 26 (8), 4079-4091, 2017
152017
A large RGB-D dataset for semi-supervised monocular depth estimation
J Cho, D Min, Y Kim, K Sohn
arXiv preprint arXiv:1904.10230, 2019
122019
Structure-texture image decomposition using deep variational priors
Y Kim, B Ham, MN Do, K Sohn
IEEE Transactions on Image Processing 28 (6), 2692-2704, 2018
122018
Deep Network for Simultaneous Stereo Matching and Dehazing.
T Song, Y Kim, C Oh, K Sohn
BMVC, 5, 2018
122018
Data-driven single image depth estimation using weighted median statistics
Y Kim, S Choi, K Sohn
2014 IEEE International Conference on Image Processing (ICIP), 3808-3812, 2014
92014
Multi-task self-supervised visual representation learning for monocular road segmentation
J Cho, Y Kim, H Jung, C Oh, J Youn, K Sohn
2018 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2018
52018
Automatic 2d-to-3d conversion using multi-scale deep neural network
J Lee, H Jung, Y Kim, K Sohn
2017 IEEE International Conference on Image Processing (ICIP), 730-734, 2017
52017
Edge-aware image smoothing using commute time distances
Y Kim, C Oh, K Sohn
2016 IEEE International Conference on Image Processing (ICIP), 3304-3308, 2016
52016
A majorize-minimize approach for high-quality depth upsampling
Y Kim, S Choi, C Oh, K Sohn
2015 IEEE International Conference on Image Processing (ICIP), 392-396, 2015
52015
Hierarchical multi-label object detection framework for remote sensing images
SJ Shin, S Kim, Y Kim, S Kim
Remote Sensing 12 (17), 2734, 2020
32020
Sparse edit propagation for high resolution image using support vector machines
C Oh, S Ryu, Y Kim, J Kim, T Park, K Sohn
2015 IEEE International Conference on Image Processing (ICIP), 4042-4046, 2015
32015
Simultaneous Deep Stereo Matching and Dehazing with Feature Attention
T Song, Y Kim, C Oh, H Jang, N Ha, K Sohn
International Journal of Computer Vision, 1-19, 2020
22020
Stacked lossless deconvolutional network for remote sensing image super-resolution
C Shin, M Kim, S Kim, Y Kim
Image and Signal Processing for Remote Sensing XXV 11155, 1115509, 2019
22019
Normalized tone-mapping operators for color quality improvement in 3DTV
D Kim, K Jung, B Ham, Y Kim, K Sohn
2014 9th IEEE Conference on Industrial Electronics and Applications, 430-435, 2014
22014
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