Keyword [RDN] [RDB]
Zhang Y, Tian Y, Kong Y, et al. Residual dense network for image super-resolution[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2018: 2472-2481.
Keyword [RDN] [RDB]
Zhang Y, Tian Y, Kong Y, et al. Residual dense network for image super-resolution[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2018: 2472-2481.
Shen L, Yue Z, Chen Q, et al. Deep joint rain and haze removal from a single image[C]//2018 24th International Conference on Pattern Recognition (ICPR). IEEE, 2018: 2821-2826.
Shocher A, Cohen N, Irani M. “Zero-Shot” Super-Resolution using Deep Internal Learning[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2018: 3118-3126.
Ulyanov D, Vedaldi A, Lempitsky V. Deep image prior[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2018: 9446-9454.
Wang C, Zheng H, Yu Z, et al. Discriminative region proposal adversarial networks for high-quality image-to-image translation[C]//Proceedings of the European Conference on Computer Vision (ECCV). 2018: 770-785.
Keyword [xUnit] [Activation Unit] [GCN]
Kligvasser I, Rott Shaham T, Michaeli T. xUnit: learning a spatial activation function for efficient image restoration[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2018: 2433-2442.
Li J, Skinner K A, Eustice R M, et al. WaterGAN: unsupervised generative network to enable real-time color correction of monocular underwater images[J]. IEEE Robotics and Automation Letters, 2018, 3(1): 387-394.
Yang X, Xu Z, Luo J. Towards perceptual image dehazing by physics-based disentanglement and adversarial training[C]//Thirty-second AAAI conference on artificial intelligence. 2018.
Li R, Cheong L F, Tan R T. Single Image Deraining using Scale-Aware Multi-Stage Recurrent Network[J]. arXiv preprint arXiv:1712.06830, 2017.
Zhang H, Sindagi V, Patel V M. Joint transmission map estimation and dehazing using deep networks[J]. arXiv preprint arXiv:1708.00581, 2017.