Guisik Kim
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Aim 2019 challenge on real-world image super-resolution: Methods and results
A Lugmayr, M Danelljan, R Timofte, M Fritsche, S Gu, K Purohit, ...
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW …, 2019
Effective visual tracking using multi-block and scale space based on kernelized correlation filters
S Jeong, G Kim, S Lee
Sensors 17 (3), 433, 2017
Low-lightgan: Low-light enhancement via advanced generative adversarial network with task-driven training
G Kim, D Kwon, J Kwon
2019 IEEE International Conference on Image Processing (ICIP), 2811-2815, 2019
Adaptive patch based convolutional neural network for robust dehazing
G Kim, S Ha, J Kwon
2018 25th IEEE International Conference on Image Processing (ICIP), 2845-2849, 2018
Robust Pixel-wise Dehazing Algorithm based on Advanced Haze-Relevant Features.
G Kim, J Kwon
BMVC 2, 4, 2017
DALE: Dark region-aware low-light image enhancement
D Kwon, G Kim, J Kwon
arXiv preprint arXiv:2008.12493, 2020
Bidirectional Deep Residual learning for Haze Removal.
G Kim, J Park, S Ha, J Kwon
CVPR Workshops, 46-54, 2019
Deep Illumination-Aware Dehazing With Low-Light and Detail Enhancement
G Kim, J Kwon
IEEE Transactions on Intelligent Transportation Systems, 2021
Robust person re-identification via graph convolution networks
G Kim, DW Shu, J Kwon
Multimedia Tools and Applications, 1-10, 2021
Pixel-wise Wasserstein Autoencoder for Highly Generative Dehazing
G Kim, SW Park, J Kwon
IEEE Transactions on Image Processing, 2021
Robust visual tracking with adaptive initial configuration and likelihood landscape analysis
G Kim, J Kwon
IET Computer Vision 13 (1), 1-7, 2019
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