Seungjun Nah
Seungjun Nah
Verified email at snu.ac.kr - Homepage
TitleCited byYear
Enhanced deep residual networks for single image super-resolution
B Lim, S Son, H Kim, S Nah, KM Lee
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
8912017
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring
S Nah, TH Kim, KM Lee
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017
3502017
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results
R Timofte, E Agustsson, L Van Gool, MH Yang, L Zhang
Proceedings of the IEEE conference on computer vision and pattern …, 2017
3262017
Dynamic video deblurring using a locally adaptive blur model
TH Kim, S Nah, KM Lee
IEEE transactions on pattern analysis and machine intelligence 40 (10), 2374 …, 2017
112017
Dynamic scene deblurring using a locally adaptive linear blur model
TH Kim, S Nah, KM Lee
arXiv preprint arXiv:1603.04265, 2016
112016
Clustering convolutional kernels to compress deep neural networks
S Son, S Nah, KM Lee
Proceedings of the European Conference on Computer Vision (ECCV), 216-232, 2018
102018
NTIRE 2019 Challenge on Video Deblurring and Super-Resolution: Dataset and Study
S Nah, S Baik, S Hong, G Moon, S Son, R Timofte, KM Lee
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
82019
NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results
S Nah, R Timofte, S Gu, S Baik, S Hong, G Moon, S Son, KM Lee
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
7*2019
NTIRE 2019 Challenge on Video Deblurring: Methods and Results
S Nah, R Timofte, S Baik, S Hong, G Moon, S Son, KM Lee
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
72019
Recurrent neural networks with intra-frame iterations for video deblurring
S Nah, S Son, KM Lee
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
52019
Random forest with data ensemble for saliency detection
S Nah, KM Lee
2015 Asia-Pacific Signal and Information Processing Association Annual …, 2015
12015
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Articles 1–11