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Youngjung Kim
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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
542018
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
532020
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
512015
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
322016
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
302017
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
272017
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
262019
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
232018
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
192017
Deep Network for Simultaneous Stereo Matching and Dehazing.
T Song, Y Kim, C Oh, K Sohn
BMVC, 5, 2018
152018
Deep monocular depth estimation leveraging a large-scale outdoor stereo dataset
J Cho, D Min, Y Kim, K Sohn
Expert Systems with Applications 178, 114877, 2021
92021
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 128 (4), 799-817, 2020
92020
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
Memory-guided unsupervised image-to-image translation
S Jeong, Y Kim, E Lee, K Sohn
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
82021
Hierarchical multi-label object detection framework for remote sensing images
SJ Shin, S Kim, Y Kim, S Kim
Remote Sensing 12 (17), 2734, 2020
62020
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
62018
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
62017
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
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
42015
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