Browse > Article

Deep Learning for Low-Level Computer Vision  

O, Seung-Uk (연세대학교)
Jo, Yeong-Hyeon (연세대학교)
Kim, Seon-Ju (연세대학교)
Publication Information
Broadcasting and Media Magazine / v.22, no.1, 2017 , pp. 67-79 More about this Journal
Keywords
Citations & Related Records
연도 인용수 순위
  • Reference
1 Krizhevsky, Alex, Ilya Sutskever, and Geoffrey E. Hinton. "Imagenet classification with deep convolutional neural networks." Advances in neural information processing systems. 2012.
2 Russakovsky, Olga, et al. "Imagenet large scale visual recognition challenge." International Journal of Computer Vision 115.3 (2015): 211-252.   DOI
3 Simonyan, Karen, and Andrew Zisserman. "Very deep convolutional networks for large-scale image recognition." arXiv preprint arXiv:1409.1556 (2014).
4 Szegedy, Christian, et al. "Going deeper with convolutions." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2015.
5 He, Kaiming, et al. "Deep residual learning for image recognition." arXiv preprint arXiv:1512.03385 (2015).
6 Karpathy, Andrej, and Li Fei-Fei. "Deep visual-semantic alignments for generating image descriptions." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2015.
7 Antol, Stanislaw, et al. "Vqa: Visual question answering." Proceedings of the IEEE International Conference on Computer Vision. 2015.
8 Dong, Chao, et al. "Image super-resolution using deep convolutional networks." IEEE transactions on pattern analysis and machine intelligence 38.2 (2016): 295-307.   DOI
9 Xu, Li, et al. "Deep convolutional neural network for image deconvolution." Advances in Neural Information Processing Systems. 2014.
10 Jiwon Kim, Jung Kwon Lee and Kyoung Mu Lee. "Accurate image super-resolution using very deep convolutional networks." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2016.
11 Seoung Wug Oh and Seon Joo Kim. "Approaching the Computational Color Constancy as a Classification Problem through Deep Learning." Pattern Recognition, Volume 61, January 2017.
12 Jiwon Kim, Jung Kwon Lee and Kyoung Mu Lee. "Deeply-Recursive Convolutional Network for Image Super- Resolution." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2016.
13 Ledig, Christian, et al. "Photo-realistic single image super-resolution using a generative adversarial network." arXiv preprint arXiv:1609.04802 (2016).
14 Yang, Chih-Yuan, Chao Ma, and Ming-Hsuan Yang. "Single-image super-resolution: a benchmark." European Conference on Computer Vision. Springer International Publishing, 2014.
15 Ayan Chakrabarti. "A Neural Approach to Blind Motion Deblurring" European Conference on Computer Vision. Springer International Publishing, 2016.
16 Nah, Seungjun, Tae Hyun Kim, and Kyoung Mu Lee. "Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring." arXiv preprint arXiv:1612.02177 (2016).