-
1
-
-
85009879997
-
-
Google Images.accessed 1-March-2015]
-
Google Images. https://images.google.com/. [Online; accessed 1-March-2015].
-
-
-
-
2
-
-
77952844108
-
Fast high-dimensional filtering using the permutohedral lattice
-
Wiley Online Library
-
A. Adams, J. Baek, and M. A. Davis. Fast high-dimensional filtering using the permutohedral lattice. In Computer Graphics Forum, volume 29, pages 753-762. Wiley Online Library, 2010.
-
(2010)
Computer Graphics Forum
, vol.29
, pp. 753-762
-
-
Adams, A.1
Baek, J.2
Davis, M.A.3
-
3
-
-
70349653336
-
Gaussian kd-trees for fast high-dimensional filtering
-
ACM
-
A. Adams, N. Gelfand, J. Dolson, and M. Levoy. Gaussian kd-trees for fast high-dimensional filtering. In ACM Transactions on Graphics (TOG), volume 28, page 21. ACM, 2009.
-
(2009)
ACM Transactions on Graphics (TOG)
, vol.28
, pp. 21
-
-
Adams, A.1
Gelfand, N.2
Dolson, J.3
Levoy, M.4
-
4
-
-
0002705110
-
Non-linear Gaussian filters performing edge preserving diffusion
-
Springer
-
V. Aurich and J.Weule. Non-linear Gaussian filters performing edge preserving diffusion. In DAGM, pages 538-545. Springer, 1995.
-
(1995)
DAGM
, pp. 538-545
-
-
Aurich, V.1
Weule, J.2
-
5
-
-
24644460218
-
Higher-order image statistics for unsupervised, information-theoretic, adaptive, image filtering
-
S. P. Awate and R. T. Whitaker. Higher-order image statistics for unsupervised, information-theoretic, adaptive, image filtering. In Computer Vision and Pattern Recognition (CVPR), volume 2, pages 44-51, 2005.
-
(2005)
Computer Vision and Pattern Recognition (CVPR)
, vol.2
, pp. 44-51
-
-
Awate, S.P.1
Whitaker, R.T.2
-
7
-
-
0036603206
-
Fundamental relationship between bilateral filtering, adaptive smoothing, and the nonlinear diffusion equation
-
D. Barash. Fundamental relationship between bilateral filtering, adaptive smoothing, and the nonlinear diffusion equation. Pattern Analysis and Machine Intelligence (T-PAMI), 24(6):844-847, 2002.
-
(2002)
Pattern Analysis and Machine Intelligence (T-PAMI)
, vol.24
, Issue.6
, pp. 844-847
-
-
Barash, D.1
-
10
-
-
84905719758
-
Intrinsic images in the wild
-
S. Bell, K. Bala, and N. Snavely. Intrinsic images in the wild. ACM Transactions on Graphics (TOG), 33(4):159, 2014.
-
(2014)
ACM Transactions on Graphics (TOG)
, vol.33
, Issue.4
, pp. 159
-
-
Bell, S.1
Bala, K.2
Snavely, N.3
-
13
-
-
24644478715
-
A non-local algorithm for image denoising
-
A. Buades, B. Coll, and J.-M. Morel. A non-local algorithm for image denoising. In Computer Vision and Pattern Recognition (CVPR), volume 2, pages 60-65, 2005.
-
(2005)
Computer Vision and Pattern Recognition (CVPR)
, vol.2
, pp. 60-65
-
-
Buades, A.1
Coll, B.2
Morel, J.-M.3
-
15
-
-
85083954148
-
Semantic image segmentation with deep convolutional nets and fully connected CRFs
-
L.-C. Chen, G. Papandreou, I. Kokkinos, K. Murphy, and A. L. Yuille. Semantic image segmentation with deep convolutional nets and fully connected CRFs. In International Conference on Learning Representations (ICLR), 2015.
-
(2015)
International Conference on Learning Representations (ICLR)
-
-
Chen, L.-C.1
Papandreou, G.2
Kokkinos, I.3
Murphy, K.4
Yuille, A.L.5
-
17
-
-
84883162364
-
Learning graphical model parameters with approximate marginal inference
-
J. Domke. Learning graphical model parameters with approximate marginal inference. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 35(10):2454-2467, 2013.
-
(2013)
Pattern Analysis and Machine Intelligence, IEEE Transactions on
, vol.35
, Issue.10
, pp. 2454-2467
-
-
Domke, J.1
-
21
-
-
84870206883
-
Adaptive manifolds for real-time high-dimensional filtering
-
E. S. Gastal and M. M. Oliveira. Adaptive manifolds for real-time high-dimensional filtering. ACM Transactions on Graphics (TOG), 31(4):33, 2012.
-
(2012)
ACM Transactions on Graphics (TOG)
, vol.31
, Issue.4
, pp. 33
-
-
Gastal, E.S.1
Oliveira, M.M.2
-
24
-
-
84882376954
-
Guided image filtering
-
K. He, J. Sun, and X. Tang. Guided image filtering. Pattern Analysis and Machine Intelligence (T-PAMI), 35(6):1397-1409, 2013.
-
(2013)
Pattern Analysis and Machine Intelligence (T-PAMI)
, vol.35
, Issue.6
, pp. 1397-1409
-
-
He, K.1
Sun, J.2
Tang, X.3
-
28
-
-
84913580146
-
Caffe: Convolutional architecture for fast feature embedding
-
ACM
-
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell. Caffe: Convolutional architecture for fast feature embedding. In Proceedings of the ACM International Conference on Multimedia, pages 675-678. ACM, 2014.
-
(2014)
Proceedings of the ACM International Conference on Multimedia
, pp. 675-678
-
-
Jia, Y.1
Shelhamer, E.2
Donahue, J.3
Karayev, S.4
Long, J.5
Girshick, R.6
Guadarrama, S.7
Darrell, T.8
-
30
-
-
34547661782
-
Joint bilateral upsampling
-
J. Kopf, M. F. Cohen, D. Lischinski, and M. Uyttendaele. Joint bilateral upsampling. ACM Transactions on Graphics (TOG), 26(3):96, 2007.
-
(2007)
ACM Transactions on Graphics (TOG)
, vol.26
, Issue.3
, pp. 96
-
-
Kopf, J.1
Cohen, M.F.2
Lischinski, D.3
Uyttendaele, M.4
-
33
-
-
0032203257
-
Gradientbased learning applied to document recognition
-
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner. Gradientbased learning applied to document recognition. Proceedings of the IEEE, 86(11):2278-2324, 1998.
-
(1998)
Proceedings of the IEEE
, vol.86
, Issue.11
, pp. 2278-2324
-
-
LeCun, Y.1
Bottou, L.2
Bengio, Y.3
Haffner, P.4
-
36
-
-
33745805811
-
A fast approximation of the bilateral filter using a signal processing approach
-
Springer
-
S. Paris and F. Durand. A fast approximation of the bilateral filter using a signal processing approach. In European Conference on Computer Vision (ECCV), pages 568-580. Springer, 2006.
-
(2006)
European Conference on Computer Vision (ECCV)
, pp. 568-580
-
-
Paris, S.1
Durand, F.2
-
40
-
-
84867713871
-
Indoor segmentation and support inference from rgbd images
-
Springer
-
N. Silberman, D. Hoiem, P. Kohli, and R. Fergus. Indoor segmentation and support inference from rgbd images. In European Conference on Computer Vision (ECCV), pages 746-760. Springer, 2012.
-
(2012)
European Conference on Computer Vision (ECCV)
, pp. 746-760
-
-
Silberman, N.1
Hoiem, D.2
Kohli, P.3
Fergus, R.4
-
41
-
-
84978755117
-
Very deep convolutional networks for large-scale image recognition
-
abs/1409.1556
-
K. Simonyan and A. Zisserman. Very deep convolutional networks for large-scale image recognition. CoRR, abs/1409.1556, 2014.
-
(2014)
CoRR
-
-
Simonyan, K.1
Zisserman, A.2
-
42
-
-
0031141035
-
Susan - A new approach to low level image processing
-
May
-
S. M. Smith and J. M. Brady. SUSAN - A new approach to low level image processing. Int. J. Comput. Vision, 23(1):45-78, May 1997.
-
(1997)
Int. J. Comput. Vision
, vol.23
, Issue.1
, pp. 45-78
-
-
Smith, S.M.1
Brady, J.M.2
-
43
-
-
84887353574
-
A fully-connected layered model of foreground and background flow
-
D. Sun, J. Wulff, E. B. Sudderth, H. Pfister, and M. J. Black. A fully-connected layered model of foreground and background flow. In Computer Vision and Pattern Recognition (CVPR), pages 2451-2458, 2013.
-
(2013)
Computer Vision and Pattern Recognition (CVPR)
, pp. 2451-2458
-
-
Sun, D.1
Wulff, J.2
Sudderth, E.B.3
Pfister, H.4
Black, M.J.5
-
44
-
-
33847712243
-
Kernel regression for image processing and reconstruction
-
H. Takeda, S. Farsiu, and P. Milanfar. Kernel regression for image processing and reconstruction. Image Processing, IEEE Transactions on, 16(2):349-366, 2007.
-
(2007)
Image Processing, IEEE Transactions on
, vol.16
, Issue.2
, pp. 349-366
-
-
Takeda, H.1
Farsiu, S.2
Milanfar, P.3
-
46
-
-
85009839563
-
Posefield: An efficient mean-field based method for joint estimation of human pose, segmentation and depth
-
V. Vineet, G. Sheasby, J. Warrell, and P. H. Torr. Posefield: An efficient mean-field based method for joint estimation of human pose, segmentation and depth. In EMMCVPR, 2013.
-
(2013)
EMMCVPR
-
-
Vineet, V.1
Sheasby, G.2
Warrell, J.3
Torr, P.H.4
-
47
-
-
84898435739
-
Filter-based mean-field inference for random fields with higher order terms and product label-spaces
-
V. Vineet, J. Warrell, and P. H. Torr. Filter-based mean-field inference for random fields with higher order terms and product label-spaces. In European Conference on Computer Vision (ECCV), 2012.
-
(2012)
European Conference on Computer Vision (ECCV)
-
-
Vineet, V.1
Warrell, J.2
Torr, P.H.3
-
48
-
-
77956001004
-
Deconvolutional networks
-
M. D. Zeiler, D. Krishnan, G. W. Taylor, and R. Fergus. Deconvolutional networks. In Computer Vision and Pattern Recognition (CVPR), pages 2528-2535, 2010.
-
(2010)
Computer Vision and Pattern Recognition (CVPR)
, pp. 2528-2535
-
-
Zeiler, M.D.1
Krishnan, D.2
Taylor, G.W.3
Fergus, R.4
-
49
-
-
84973861983
-
Conditional random fields as recurrent neural networks
-
S. Zheng, S. Jayasumana, B. Romera-Paredes, V. Vineet, Z. Su, D. Du, C. Huang, and P. H. Torr. Conditional random fields as recurrent neural networks. International Conference on Computer Vision (ICCV), 2015.
-
(2015)
International Conference on Computer Vision (ICCV)
-
-
Zheng, S.1
Jayasumana, S.2
Romera-Paredes, B.3
Vineet, V.4
Su, Z.5
Du, D.6
Huang, C.7
Torr, P.H.8
|