-
1
-
-
72949109075
-
From local kernel to nonlocal multiple-model image denoising
-
V. Katkovnik, A. Foi, K. Egiazarian, J. Astola, "From local kernel to nonlocal multiple-model image denoising, " Int. J. Comput. Vis., vol. 86, no. 1, pp. 1-32, 2010.
-
(2010)
Int. J. Comput. Vis
, vol.86
, Issue.1
, pp. 1-32
-
-
Katkovnik, V.1
Foi, A.2
Egiazarian, K.3
Astola, J.4
-
4
-
-
85032751363
-
Super-Resolution image Reconstruction: A technical overview
-
May
-
S. C. Park, M. K. Park, M. G. Kang, "Super-resolution image reconstruction: A technical overview, " IEEE Signal Process. Mag., vol. 20, no. 3, pp. 21-36, May 2003.
-
(2003)
IEEE Signal Process. Mag
, vol.20
, Issue.3
, pp. 21-36
-
-
Park, S.C.1
Park, M.K.2
Kang, M.G.3
-
5
-
-
85032752336
-
Image inpainting: Overview and recent advances
-
Jan.
-
C. Guillemot and O. L. Meur, "Image inpainting: Overview and recent advances, " IEEE Signal Process. Mag., vol. 31, no. 1, pp. 127-144, Jan. 2014.
-
(2014)
IEEE Signal Process. Mag
, vol.31
, Issue.1
, pp. 127-144
-
-
Guillemot, C.1
Meur, O.L.2
-
6
-
-
0041737619
-
Functional magnetic resonance imaging (fMRI) 'brain reading': Detecting and classifying distributed patterns of fMRI activity in human visual cortex
-
D. D. Cox and R. L. Savoy, "Functional magnetic resonance imaging (fMRI) 'brain reading': Detecting and classifying distributed patterns of fMRI activity in human visual cortex, " Neuroimage, vol. 19, no. 2, pp. 261-270, 2003.
-
(2003)
Neuroimage
, vol.19
, Issue.2
, pp. 261-270
-
-
Cox, D.D.1
Savoy, R.L.2
-
7
-
-
69349090197
-
Learning deep architectures for AI
-
Y. Bengio, "Learning deep architectures for AI, " Found. Trends Mach. Learn., vol. 2, no. 1, pp. 1-127, 2009.
-
(2009)
Found. Trends Mach. Learn
, vol.2
, Issue.1
, pp. 1-127
-
-
Bengio, Y.1
-
8
-
-
34948886211
-
A quantitative theory of immediate visual recognition
-
Oct.
-
T. Serre, G. Kreiman, M. Kouh, C. Cadieu, U. Knoblich, T. Poggio, "A quantitative theory of immediate visual recognition, " Progr. Brain Res., vol. 165, pp. 33-56, Oct. 2007.
-
(2007)
Progr. Brain Res
, vol.165
, pp. 33-56
-
-
Serre, T.1
Kreiman, G.2
Kouh, M.3
Cadieu, C.4
Knoblich, U.5
Poggio, T.6
-
9
-
-
78149296699
-
Natural image denoising with convolutional networks
-
V. Jain and S. Seung, "Natural image denoising with convolutional networks, " in Proc. NIPS, 2009, pp. 769-776.
-
(2009)
Proc. NIPS
, pp. 769-776
-
-
Jain, V.1
Seung, S.2
-
10
-
-
84877728447
-
Image denoising and inpainting with deep neural networks
-
J. Xie, L. Xu, E. Chen, "Image denoising and inpainting with deep neural networks, " in Proc. NIPS, 2012, pp. 341-349.
-
(2012)
Proc. NIPS
, pp. 341-349
-
-
Xie, J.1
Xu, L.2
Chen, E.3
-
11
-
-
84906484697
-
Learning a deep convolutional network for image super-resolution
-
C. Dong, C. C. Loy, K. He, X. Tang, "Learning a deep convolutional network for image super-resolution, " in Proc. ECCV, 2014, pp. 184-199.
-
(2014)
Proc. ECCV
, pp. 184-199
-
-
Dong, C.1
Loy, C.C.2
He, K.3
Tang, X.4
-
12
-
-
84866679588
-
Image denoising: Can plain neural networks compete with BM3D?
-
H. C. Burger, C. J. Schuler, S. Harmeling, "Image denoising: Can plain neural networks compete with BM3D?" in Proc. CVPR, 2012, pp. 2392-2399.
-
(2012)
Proc. CVPR
, pp. 2392-2399
-
-
Burger, H.C.1
Schuler, C.J.2
Harmeling, S.3
-
13
-
-
34547760736
-
Image denoising by sparse 3-D transform-domain collaborative filtering
-
Aug.
-
K. Dabov, A. Foi, V. Katkovnik, K. Egiazarian, "Image denoising by sparse 3-D transform-domain collaborative filtering, " IEEE Trans. Image Process., vol. 16, no. 8, pp. 2080-2095, Aug. 2007.
-
(2007)
IEEE Trans. Image Process
, vol.16
, Issue.8
, pp. 2080-2095
-
-
Dabov, K.1
Foi, A.2
Katkovnik, V.3
Egiazarian, K.4
-
14
-
-
84886419765
-
Learning how to combine internal and external denoising methods
-
H. C. Burger, C. Schuler, S. Harmeling, "Learning how to combine internal and external denoising methods, " in Proc. GCPR, vol. 8142. 2013, pp. 121-130.
-
(2013)
Proc. GCPR
, vol.8142
, pp. 121-130
-
-
Burger, H.C.1
Schuler, C.2
Harmeling, S.3
-
15
-
-
84856650948
-
From learning models of natural image patches to whole image restoration
-
D. Zoran and Y. Weiss, "From learning models of natural image patches to whole image restoration, " in Proc. ICCV, 2011, pp. 479-486.
-
(2011)
Proc ICCV
, pp. 479-486
-
-
Zoran, D.1
Weiss, Y.2
-
16
-
-
84887391162
-
A machine learning approach for non-blind image deconvolution
-
C. J. Schuler, H. C. Burger, S. Harmeling, B. Scholkopf, "A machine learning approach for non-blind image deconvolution, " in Proc. CVPR, 2013, pp. 1067-1074.
-
(2013)
Proc. CVPR
, pp. 1067-1074
-
-
Schuler, C.J.1
Burger, H.C.2
Harmeling, S.3
Scholkopf, B.4
-
17
-
-
84908674237
-
Maskspecific inpainting with deep neural networks
-
R. Köhler, C. Schuler, B. Schölkopf, S. Harmeling, "Maskspecific inpainting with deep neural networks, " in Proc. GCPR, 2014, pp. 523-534.
-
(2014)
Proc. GCPR
, pp. 523-534
-
-
Köhler, R.1
Schuler, C.2
Schölkopf, B.3
Harmeling, S.4
-
18
-
-
84899024949
-
Adaptive multi-column deep neural networks with application to robust image denoising
-
F. Agostinelli, M. R., erson, H. Lee, "Adaptive multi-column deep neural networks with application to robust image denoising, " in Proc. NIPS, 2013, pp. 1493-1501.
-
(2013)
Proc. NIPS
, pp. 1493-1501
-
-
Agostinelli, F.1
Erson, M.R.2
Lee, H.3
-
19
-
-
84937878882
-
Deep convolutional neural network for image deconvolution
-
L. Xu, J. S. J. Ren, C. Liu, J. Jia, "Deep convolutional neural network for image deconvolution, " in Proc. NIPS, 2014, pp. 1790-1798.
-
(2014)
Proc. NIPS
, pp. 1790-1798
-
-
Xu, L.1
Ren, J.S.J.2
Liu, C.3
Jia, J.4
-
20
-
-
84906509108
-
Deep network cascade for image super-resolution
-
Z. Cui, H. Chang, S. Shan, B. Zhong, X. Chen, "Deep network cascade for image super-resolution, " in Proc. ECCV, 2014, pp. 49-64.
-
(2014)
Proc. ECCV
, pp. 49-64
-
-
Cui, Z.1
Chang, H.2
Shan, S.3
Zhong, B.4
Chen, X.5
-
21
-
-
33746600649
-
Reducing the dimensionality of data with neural networks
-
G. E. Hinton and R. R. Salakhutdinov, "Reducing the dimensionality of data with neural networks, " Science, vol. 313, no. 5786, pp. 504-507, 2006.
-
(2006)
Science
, vol.313
, Issue.5786
, pp. 504-507
-
-
Hinton, G.E.1
Salakhutdinov, R.R.2
-
22
-
-
85161966246
-
Sparse feature learning for deep belief networks
-
M. Ranzato, Y.-L. Boureau, Y. LeCun, "Sparse feature learning for deep belief networks, " in Proc. NIPS, 2008, pp. 1185-1192.
-
(2008)
Proc. NIPS
, pp. 1185-1192
-
-
Ranzato, M.1
Boureau, Y.-L.2
LeCun, Y.3
-
23
-
-
84923658744
-
Block-row sparse multiview multilabel learning for image classification
-
Feb.
-
X. Zhu, X. Li, S. Zhang, "Block-row sparse multiview multilabel learning for image classification, " IEEE Trans. Cybern., vol. 46, no. 2, pp. 450-461, Feb. 2015.
-
(2015)
IEEE Trans. Cybern
, vol.46
, Issue.2
, pp. 450-461
-
-
Zhu, X.1
Li, X.2
Zhang, S.3
-
24
-
-
84905046755
-
A sparse embedding and least variance encoding approach to hashing
-
Sep.
-
X. Zhu, L. Zhang, Z. Huang, "A sparse embedding and least variance encoding approach to hashing, " IEEE Trans. Image Process., vol. 23, no. 9, pp. 3737-3750, Sep. 2014.
-
(2014)
IEEE Trans. Image Process
, vol.23
, Issue.9
, pp. 3737-3750
-
-
Zhu, X.1
Zhang, L.2
Huang, Z.3
-
25
-
-
79551480483
-
Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion
-
Dec.
-
P. Vincent, H. Larochelle, I. Lajoie, Y. Bengio, P.-A. Manzagol, "Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion, " J. Mach. Learn. Res., vol. 11, no. 12, pp. 3371-3408, Dec. 2010.
-
(2010)
J. Mach. Learn. Res
, vol.11
, Issue.12
, pp. 3371-3408
-
-
Vincent, P.1
Larochelle, H.2
Lajoie, I.3
Bengio, Y.4
Manzagol, P.-A.5
-
26
-
-
24644478715
-
A non-local algorithm for image denoising
-
A. Buades, B. Coll, J.-M. Morel, "A non-local algorithm for image denoising, " in Proc. IEEE CVPR, vol. 2. 2005, pp. 60-65.
-
(2005)
Proc IEEE CVPR
, vol.2
, pp. 60-65
-
-
Buades, A.1
Coll, B.2
Morel, J.-M.3
-
27
-
-
77952739016
-
Nonlocal sparse models for image restoration
-
Sep./Oct.
-
J. Mairal, F. Bach, J. Ponce, G. Sapiro, A. Zisserman, "Nonlocal sparse models for image restoration, " in Proc. IEEE 12th ICCV, Sep./Oct. 2009, pp. 2272-2279.
-
(2009)
Proc IEEE 12th ICCV
, pp. 2272-2279
-
-
Mairal, J.1
Bach, F.2
Ponce, J.3
Sapiro, G.4
Zisserman, A.5
-
28
-
-
84873906242
-
Nonlocally centralized sparse representation for image restoration
-
Apr.
-
W. Dong, L. Zhang, G. Shi, X. Li, "Nonlocally centralized sparse representation for image restoration, " IEEE Trans. Image Process., vol. 22, no. 4, pp. 1620-1630, Apr. 2013.
-
(2013)
IEEE Trans. Image Process
, vol.22
, Issue.4
, pp. 1620-1630
-
-
Dong, W.1
Zhang, L.2
Shi, G.3
Li, X.4
-
29
-
-
84893847895
-
Insights into analysis operator learning: From patch-based sparse models to higher order MRFs
-
Mar.
-
Y. Chen, R. Ranftl, T. Pock, "Insights into analysis operator learning: From patch-based sparse models to higher order MRFs, " IEEE Trans. Image Process., vol. 23, no. 3, pp. 1060-1072, Mar. 2014.
-
(2014)
IEEE Trans. Image Process
, vol.23
, Issue.3
, pp. 1060-1072
-
-
Chen, Y.1
Ranftl, R.2
Pock, T.3
-
30
-
-
84911360659
-
Weighted nuclear norm minimization with application to image denoising
-
S. Gu, L. Zhang, W. Zuo, X. Feng, "Weighted nuclear norm minimization with application to image denoising, " in Proc. CVPR, 2014, pp. 2862-2869.
-
(2014)
Proc. CVPR
, pp. 2862-2869
-
-
Gu, S.1
Zhang, L.2
Zuo, W.3
Feng, X.4
-
31
-
-
84911451024
-
Shrinkage fields for effective image restoration
-
U. Schmidt and S. Roth, "Shrinkage fields for effective image restoration, " in Proc. CVPR, 2014, pp. 2774-2781.
-
(2014)
Proc. CVPR
, pp. 2774-2781
-
-
Schmidt, U.1
Roth, S.2
-
32
-
-
84955309048
-
Image Super-Resolution by supervised adaption of patchwise self-similarity from high-resolution image
-
Munich, Germany: Springer International Publishing
-
G. Wu, X. Zhu, Q. Wang, D. Shen, "Image super-resolution by supervised adaption of patchwise self-similarity from high-resolution image, " in Patch-Based Techniques in Medical Imaging. Munich, Germany: Springer International Publishing, 2015, pp. 10-18.
-
(2015)
Patch-Based Techniques in Medical Imaging
, pp. 10-18
-
-
Wu, G.1
Zhu, X.2
Wang, Q.3
Shen, D.4
-
33
-
-
78149306047
-
3d object recognition with deep belief nets
-
V. Nair and G. E. Hinton, "3d object recognition with deep belief nets, " in Proc. NIPS, 2009, pp. 1339-1347.
-
(2009)
Proc. NIPS
, pp. 1339-1347
-
-
Nair, V.1
Hinton, G.E.2
-
34
-
-
33745805403
-
A fast learning algorithm for deep belief nets
-
G. E. Hinton, S. Osindero, Y.-W. Teh, "A fast learning algorithm for deep belief nets, " Neural Comput., vol. 18, no. 7, pp. 1527-1554, 2006.
-
(2006)
Neural Comput
, vol.18
, Issue.7
, pp. 1527-1554
-
-
Hinton, G.E.1
Osindero, S.2
Teh, Y.-W.3
-
35
-
-
84864073449
-
Greedy layer-wise training of deep networks
-
Y. Bengio, P. Lamblin, D. Popovici, H. Larochelle, "Greedy layer-wise training of deep networks, " in Proc. NIPS, vol. 19. 2007, p. 153.
-
(2007)
Proc. NIPS
, vol.19
, pp. 153
-
-
Bengio, Y.1
Lamblin, P.2
Popovici, D.3
Larochelle, H.4
-
36
-
-
77949522811
-
Why does unsupervised pre-training help deep learning?
-
Feb.
-
D. Erhan, Y. Bengio, A. Courville, P.-A. Manzagol, P. Vincent, S. Bengio, "Why does unsupervised pre-training help deep learning?" J. Mach. Learn. Res., vol. 11, pp. 625-660, Feb. 2010.
-
(2010)
J. Mach. Learn. Res
, vol.11
, pp. 625-660
-
-
Erhan, D.1
Bengio, Y.2
Courville, A.3
Manzagol, P.-A.4
Vincent, P.5
Bengio, S.6
-
37
-
-
33749252873
-
-
Cambridge MA USA: MIT Press
-
O. Chapelle, B. Schölkopf, A. Zien, Eds., Semi-Supervised Learning. Cambridge, MA, USA: MIT Press, 2010.
-
(2010)
Semi-Supervised Learning
-
-
Chapelle, O.1
Schölkopf, B.2
Zien, A.3
-
38
-
-
0022029165
-
Adaptive noise smoothing filter for images with signal-dependent noise
-
Mar.
-
D. T. Kuan, A. A. Sawchuk, T. C. Strand, P. Chavel, "Adaptive noise smoothing filter for images with signal-dependent noise, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 7, no. 2, pp. 165-177, Mar. 1985.
-
(1985)
IEEE Trans. Pattern Anal. Mach. Intell
, vol.7
, Issue.2
, pp. 165-177
-
-
Kuan, D.T.1
Sawchuk, A.A.2
Strand, T.C.3
Chavel, P.4
-
39
-
-
0002834189
-
Autoencoders, minimum description length and Helmholtz free energy
-
G. E. Hinton and R. S. Zemel, "Autoencoders, minimum description length and Helmholtz free energy, " in Proc. NIPS, 1994, pp. 3-10.
-
(1994)
Proc. NIPS
, pp. 3-10
-
-
Hinton, G.E.1
Zemel, R.S.2
-
40
-
-
0024880831
-
Multilayer feedforward networks are universal approximators
-
K. Hornik, M. Stinchcombe, H. White, "Multilayer feedforward networks are universal approximators, " Neural Netw., vol. 2, no. 5, pp. 359-366, 1989.
-
(1989)
Neural Netw
, vol.2
, Issue.5
, pp. 359-366
-
-
Hornik, K.1
Stinchcombe, M.2
White, H.3
-
41
-
-
80053460450
-
Contractive auto-encoders: Explicit invariance during feature extraction
-
S. Rifai, P. Vincent, X. Muller, X. Glorot, Y. Bengio, "Contractive auto-encoders: Explicit invariance during feature extraction, " in Proc. ICML, 2011, pp. 833-840.
-
(2011)
Proc ICML
, pp. 833-840
-
-
Rifai, S.1
Vincent, P.2
Muller, X.3
Glorot, X.4
Bengio, Y.5
-
43
-
-
84973862709
-
Convolutional sparse coding for image super-resolution
-
S. Gu, W. Zuo, Q. Xie, D. Meng, X. Feng, L. Zhang, "Convolutional sparse coding for image super-resolution, " in Proc. ICCV, 2015, pp. 1823-1831.
-
(2015)
Proc ICCV
, pp. 1823-1831
-
-
Gu, S.1
Zuo, W.2
Xie, Q.3
Meng, D.4
Feng, X.5
Zhang, L.6
-
44
-
-
0034850577
-
A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
-
Jul.
-
D. Martin, C. Fowlkes, D. Tal, J. Malik, "A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics, " in Proc. 8th IEEE ICCV, vol. 2. Jul. 2001, pp. 416-423.
-
(2001)
Proc. 8th IEEE ICCV
, vol.2
, pp. 416-423
-
-
Martin, D.1
Fowlkes, C.2
Tal, D.3
Malik, J.4
-
45
-
-
0016557674
-
Multidimensional binary search trees used for associative searching
-
J. L. Bentley, "Multidimensional binary search trees used for associative searching, " Commun. ACM, vol. 18, no. 9, pp. 509-517, 1975.
-
(1975)
Commun ACM
, vol.18
, Issue.9
, pp. 509-517
-
-
Bentley, J.L.1
-
48
-
-
80052250414
-
Adaptive subgradient methods for online learning and stochastic optimization
-
Feb.
-
J. Duchi, E. Hazan, Y. Singer, "Adaptive subgradient methods for online learning and stochastic optimization, " J. Mach. Learn. Res., vol. 12, pp. 2121-2159, Feb. 2011.
-
(2011)
J. Mach. Learn. Res
, vol.12
, pp. 2121-2159
-
-
Duchi, J.1
Hazan, E.2
Singer, Y.3
-
49
-
-
33751379736
-
Image denoising via sparse and redundant representations over learned dictionaries
-
Dec.
-
M. Elad and M. Aharon, "Image denoising via sparse and redundant representations over learned dictionaries, " IEEE Trans. Image Process., vol. 15, no. 12, pp. 3736-3745, Dec. 2006.
-
(2006)
IEEE Trans. Image Process
, vol.15
, Issue.12
, pp. 3736-3745
-
-
Elad, M.1
Aharon, M.2
-
50
-
-
84903381835
-
Regions of mid-level human visual cortex sensitive to the global coherence of local image patches
-
D. J. Mannion, D. J. Kersten, C. A. Olman, "Regions of mid-level human visual cortex sensitive to the global coherence of local image patches, " J. Cognit. Neurosci., vol. 26, no. 8, pp. 1764-1774, 2014.
-
(2014)
J. Cognit. Neurosci
, vol.26
, Issue.8
, pp. 1764-1774
-
-
Mannion, D.J.1
Kersten, D.J.2
Olman, C.A.3
-
51
-
-
78049312324
-
Image super-resolution via sparse representation
-
Nov.
-
J. Yang, J. Wright, T. S. Huang, Y. Ma, "Image super-resolution via sparse representation, " IEEE Trans. Image Process., vol. 19, no. 11, pp. 2861-2873, Nov. 2010.
-
(2010)
IEEE Trans. Image Process
, vol.19
, Issue.11
, pp. 2861-2873
-
-
Yang, J.1
Wright, J.2
Huang, T.S.3
Ma, Y.4
-
52
-
-
84898792173
-
Anchored neighborhood regression for fast example-based super-resolution
-
R. Timofte, V. De, L. Van Gool, "Anchored neighborhood regression for fast example-based super-resolution, " in Proc. ICCV, 2013, pp. 1920-1927.
-
(2013)
Proc ICCV
, pp. 1920-1927
-
-
Timofte, R.1
De, V.2
Van Gool, L.3
-
53
-
-
84898409537
-
Lowcomplexity single-image super-resolution based on nonnegative neighbor embedding
-
M. Bevilacqua, A. Roumy, C. Guillemot, M. L. Alberi-Morel, "Lowcomplexity single-image super-resolution based on nonnegative neighbor embedding, " in Proc. BMVC, 2012, pp. 1351-13510.
-
(2012)
Proc. BMVC
, pp. 1351-13510
-
-
Bevilacqua, M.1
Roumy, A.2
Guillemot, C.3
Alberi-Morel, M.L.4
-
54
-
-
84855655878
-
On single image scale-up using sparse-representations
-
Avignon, France: Springer
-
R. Zeyde, M. Elad, M. Protter, "On single image scale-up using sparse-representations, " in Curves and Surfaces. Avignon, France: Springer, 2012, pp. 711-730.
-
(2012)
Curves and Surfaces
, pp. 711-730
-
-
Zeyde, R.1
Elad, M.2
Protter, M.3
|