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Stefanos Zafeiriou | Matteo Maggioni | Gregory Slabaugh | Filippos Kokkinos | Ioannis Marras | S. Zafeiriou | G. Slabaugh | Filippos Kokkinos | Matteo Maggioni | Ioannis Marras
[1] Hang Su,et al. Pixel-Adaptive Convolutional Neural Networks , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[2] Antonio Criminisi,et al. Filter Forests for Learning Data-Dependent Convolutional Kernels , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[3] Jiajun Wu,et al. Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks , 2016, NIPS.
[4] Alessandro Foi,et al. Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering , 2007, IEEE Transactions on Image Processing.
[5] Xiaogang Wang,et al. Pyramid Scene Parsing Network , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[6] Andrew Lavin,et al. Fast Algorithms for Convolutional Neural Networks , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[7] Ben Poole,et al. Categorical Reparameterization with Gumbel-Softmax , 2016, ICLR.
[8] Mark Meyer,et al. Kernel-predicting convolutional networks for denoising Monte Carlo renderings , 2017, ACM Trans. Graph..
[9] Serge J. Belongie,et al. Convolutional Networks with Adaptive Inference Graphs , 2017, International Journal of Computer Vision.
[10] Peyman Milanfar,et al. RAISR: Rapid and Accurate Image Super Resolution , 2016, IEEE Transactions on Computational Imaging.
[11] Yee Whye Teh,et al. The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables , 2016, ICLR.
[12] E. Gumbel. Statistical Theory of Extreme Values and Some Practical Applications : A Series of Lectures , 1954 .
[13] Stefanos D. Kollias,et al. Piecewise Wiener filter model based on fuzzy partition of local wavelet features for image restoration , 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).
[14] Frédo Durand,et al. A Fast Approximation of the Bilateral Filter Using a Signal Processing Approach , 2006, ECCV.
[15] Kilian Q. Weinberger,et al. Deep Networks with Stochastic Depth , 2016, ECCV.
[16] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[17] Daniel Rueckert,et al. Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[18] Yu-Chiang Frank Wang,et al. Propagated image filtering , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[19] Stamatios Lefkimmiatis,et al. Deep Image Demosaicking using a Cascade of Convolutional Residual Denoising Networks , 2018, ECCV.
[20] Jian Sun,et al. Guided Image Filtering , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[21] Stamatios Lefkimmiatis,et al. Iterative Joint Image Demosaicking and Denoising Using a Residual Denoising Network , 2018, IEEE Transactions on Image Processing.
[22] Eirikur Agustsson,et al. NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[23] Luc Van Gool,et al. Dynamic Filter Networks , 2016, NIPS.
[24] Xiaoou Tang,et al. Learning a Deep Convolutional Network for Image Super-Resolution , 2014, ECCV.
[25] Bolei Zhou,et al. Scene Parsing through ADE20K Dataset , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[26] Iasonas Kokkinos,et al. Segmentation-Aware Convolutional Networks Using Local Attention Masks , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[27] Jian Sun,et al. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[28] Kyoung Mu Lee,et al. Enhanced Deep Residual Networks for Single Image Super-Resolution , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[29] George Papandreou,et al. Perturb-and-MAP random fields: Using discrete optimization to learn and sample from energy models , 2011, 2011 International Conference on Computer Vision.
[30] Peter V. Gehler,et al. Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[31] Karen O. Egiazarian,et al. Video Denoising, Deblocking, and Enhancement Through Separable 4-D Nonlocal Spatiotemporal Transforms , 2012, IEEE Transactions on Image Processing.
[32] Peyman Milanfar,et al. BLADE: Filter learning for general purpose computational photography , 2017, 2018 IEEE International Conference on Computational Photography (ICCP).
[33] Jonathan T. Barron,et al. Burst Denoising with Kernel Prediction Networks , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[34] Luc Van Gool,et al. A+: Adjusted Anchored Neighborhood Regression for Fast Super-Resolution , 2014, ACCV.
[35] Jean-Michel Morel,et al. A non-local algorithm for image denoising , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[36] Lei Zhang,et al. Color demosaicking by local directional interpolation and nonlocal adaptive thresholding , 2011, J. Electronic Imaging.
[37] Andrew W. Fitzgibbon,et al. Joint Demosaicing and Denoising via Learned Nonparametric Random Fields , 2014, IEEE Transactions on Image Processing.
[38] Roberto Manduchi,et al. Bilateral filtering for gray and color images , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).
[39] Li Fei-Fei,et al. ImageNet: A large-scale hierarchical image database , 2009, CVPR.
[40] Frédo Durand,et al. Deep joint demosaicking and denoising , 2016, ACM Trans. Graph..
[41] Lei Zhang,et al. Color demosaicking via directional linear minimum mean square-error estimation , 2005, IEEE Transactions on Image Processing.
[42] Stefan Roth,et al. Neural Nearest Neighbors Networks , 2018, NeurIPS.