References
- Krizhevsky, Alex, Ilya Sutskever, and Geoffrey E. Hinton. "Imagenet classification with deep convolutional neural networks." Advances in neural information processing systems. 2012.
- Russakovsky, Olga, et al. "Imagenet large scale visual recognition challenge." International Journal of Computer Vision 115.3 (2015): 211-252. https://doi.org/10.1007/s11263-015-0816-y
- Simonyan, Karen, and Andrew Zisserman. "Very deep convolutional networks for large-scale image recognition." arXiv preprint arXiv:1409.1556 (2014).
- Szegedy, Christian, et al. "Going deeper with convolutions." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2015.
- He, Kaiming, et al. "Deep residual learning for image recognition." arXiv preprint arXiv:1512.03385 (2015).
- 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.
- Antol, Stanislaw, et al. "Vqa: Visual question answering." Proceedings of the IEEE International Conference on Computer Vision. 2015.
- Dong, Chao, et al. "Image super-resolution using deep convolutional networks." IEEE transactions on pattern analysis and machine intelligence 38.2 (2016): 295-307. https://doi.org/10.1109/TPAMI.2015.2439281
- Xu, Li, et al. "Deep convolutional neural network for image deconvolution." Advances in Neural Information Processing Systems. 2014.
- 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.
- 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.
- Ledig, Christian, et al. "Photo-realistic single image super-resolution using a generative adversarial network." arXiv preprint arXiv:1609.04802 (2016).
- Yang, Chih-Yuan, Chao Ma, and Ming-Hsuan Yang. "Single-image super-resolution: a benchmark." European Conference on Computer Vision. Springer International Publishing, 2014.
- 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.
- Ayan Chakrabarti. "A Neural Approach to Blind Motion Deblurring" European Conference on Computer Vision. Springer International Publishing, 2016.
- 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).