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Youngjung Kim
Tytuł
Cytowane przez
Cytowane przez
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Ntire 2020 challenge on spectral reconstruction from an rgb image
B Arad, R Timofte, O Ben-Shahar, YT Lin, GD Finlayson
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
2102020
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
1282020
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
1122018
Ntire 2020 challenge on real image denoising: Dataset, methods and results
A Abdelhamed, M Afifi, R Timofte, MS Brown
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
772020
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
602015
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
522016
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
432018
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
432017
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
422021
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
412019
Guideformer: Transformers for image guided depth completion
K Rho, J Ha, Y Kim
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
332022
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
332017
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
312021
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
282017
Diml/cvl rgb-d dataset: 2m rgb-d images of natural indoor and outdoor scenes
J Cho, D Min, Y Kim, K Sohn
arXiv preprint arXiv:2110.11590, 2021
262021
Deep Network for Simultaneous Stereo Matching and Dehazing.
T Song, Y Kim, C Oh, K Sohn
BMVC, 5, 2018
212018
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
172018
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, 799-817, 2020
152020
Hierarchical multi-label object detection framework for remote sensing images
SJ Shin, S Kim, Y Kim, S Kim
Remote Sensing 12 (17), 2734, 2020
112020
Enriching SAR ship detection via multistage domain alignment
S Jeong, Y Kim, S Kim, K Sohn
IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021
102021
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