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We propose a principled convolutional neural pyramid (CNP) framework for general low-level vision and image processing tasks.
Normalized and differential convolution
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Bilateral filtering for gray and color images
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A taxonomy and evaluation of dense two-frame stereo correspondence algorithms
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Image denoising by sparse 3d transform-domain collaborative ltering
K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian · 2007
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Edge-preserving decompositions for multi-scale tone and detail manipulation
Z. Farbman, R. Fattal, D. Lischinski, and R. Szeliski · 2008
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Guided image filtering
K. He, J. Sun, and X. Tang · 2010
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Convolution pyramids
Z. Farbman, R. Fattal, and D. Lischinski · 2011
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Coherency sensitive hashing
S. Korman and S. Avidan · 2011
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Image smoothing via
L. Xu, C. Lu, Y. Xu, and J. Jia · 2011
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A naturalistic open source movie for optical flow evaluation
D. J. Butler, J. Wulff, G. B. Stanley, and M. J. Black · 2012
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Indoor segmentation and support inference from RGBD images
N. Silberman, D. Hoiem, P. Kohli, and R. Fergus · 2012
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Image denoising and inpainting with deep neural networks
J. Xie, L. Xu, and E. Chen · 2012
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Structure extraction from texture via relative total variation
L. Xu, Q. Yan, Y. Xia, and J. Jia · 2012
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Restoring an image taken through a window covered with dirt or rain
D. Eigen, D. Krishnan, and R. Fergus · 2013
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Caffe: Convolutional architecture for fast feature embedding
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. B. Girshick, S. Guadarrama, and T. Darrell · 2014
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Mask-specific inpainting with deep neural networks
R. Köhler, C. J. Schuler, B. Schölkopf, and S. Harmeling · 2014
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Depth enhancement via low-rank matrix completion
S. Lu, X. Ren, and F. Liu · 2014
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
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Deep convolutional neural network for image deconvolution
L. Xu, J. S. J. Ren, C. Liu, and J. Jia · 2014
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Visualizing and understanding convolutional networks
M. D. Zeiler and R. Fergus · 2014
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Rolling guidance filter
Q. Zhang, X. Shen, L. Xu, and J. Jia · 2014
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100+ times faster weighted median filter (WMF)
Q. Zhang, L. Xu, and J. Jia · 2014
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Segnet: A deep convolutional encoder-decoder architecture for robust semantic pixel-wise labelling
Mutual-structure for joint filtering
X. Shen, C. Zhou, L. Xu, and J. Jia · 2015
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Going deeper with convolutions
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. E. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 2015
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Deep edge-aware filters
L. Xu, J. S. J. Ren, Q. Yan, R. Liao, and J. Jia · 2015
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Multi-scale context aggregation by dilated convolutions
F. Yu and V. Koltun · 2015
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L. Chen, G. Papandreou, I. Kokkinos, K. Murphy, and A. L. Yuille · 2016
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Image super-resolution using deep convolutional networks
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V. Badrinarayanan, A. Handa, and R. Cipolla · 2015
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Compression artifacts reduction by a deep convolutional network
C. Dong, Y. Deng, C. C. Loy, and X. Tang · 2015
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Fast R-CNN
R. B. Girshick · 2015
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2015
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Accurate image super-resolution using very deep convolutional networks
J. Kim, J. K. Lee, and K. M. Lee · 2015
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Deeply-recursive convolutional network for image super-resolution
J. Kim, J. K. Lee, and K. M. Lee · 2015
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Video super-resolution via deep draft-ensemble learning
R. Liao, X. Tao, R. Li, Z. Ma, and J. Jia · 2015
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C. Dong, C. C. Loy, K. He, and X. Tang · 2016
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Accelerating the super-resolution convolutional neural network
C. Dong, C. C. Loy, and X. Tang · 2016
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Laplacian pyramid reconstruction and refinement for semantic segmentation
G. Ghiasi and C. C. Fowlkes · 2016
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Depth map super-resolution by deep multi-scale guidance
T. Hui, C. C. Loy, and X. Tang · 2016
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Deep joint image filtering
Y. Li, J. Huang, N. Ahuja, and M. Yang · 2016
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Refinenet: Multi-path refinement networks for high-resolution semantic segmentation
G. Lin, A. Milan, C. Shen, and I. D. Reid · 2016
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Learning recursive filters for low-level vision via a hybrid neural network
S. Liu, J. Pan, and M. Yang · 2016
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Image restoration using convolutional auto-encoders with symmetric skip connections
X. Mao, C. Shen, and Y. Yang · 2016
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Full-resolution residual networks for semantic segmentation in street scenes
T. Pohlen, A. Hermans, M. Mathias, and B. Leibe · 2016
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Deep automatic portrait matting
X. Shen, X. Tao, H. Gao, C. Zhou, and J. Jia · 2016
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Semantic image inpainting with perceptual and contextual losses
R. Yeh, C. Chen, T. Lim, M. Hasegawa-Johnson, and M. N. Do · 2016
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