-
1
-
-
56749170364
-
Automatic image colorization via multimodal predictions
-
Springer, 2, 6, 7
-
G. Charpiat, M. Hofmann, and B. Schölkopf. Automatic image colorization via multimodal predictions. In ECCV, pages 126-139. Springer, 2008. 1, 2, 6, 7
-
(2008)
ECCV
, vol.1
, pp. 126-139
-
-
Charpiat, G.1
Hofmann, M.2
Schölkopf, B.3
-
2
-
-
82455188161
-
Semantic colorization with internet images
-
ACM, 1, 2, 5, 6
-
A. Y.-S. Chia, S. Zhuo, R. K. Gupta, Y.-W. Tai, S.-Y. Cho, P. Tan, and S. Lin. Semantic colorization with internet images. In TOG, volume 30, page 156. ACM, 2011. 1, 2, 5, 6
-
(2011)
TOG
, vol.30
, pp. 156
-
-
Chia, A.Y.-S.1
Zhuo, S.2
Gupta, R.K.3
Tai, Y.-W.4
Cho, S.-Y.5
Tan, P.6
Lin, S.7
-
3
-
-
0036565814
-
Mean shift: A robust approach toward feature space analysis
-
7
-
D. Comaniciu and P. Meer. Mean shift: A robust approach toward feature space analysis. PAMI, 24 (5): 603-619, 2002. 7
-
(2002)
PAMI
, vol.24
, Issue.5
, pp. 603-619
-
-
Comaniciu, D.1
Meer, P.2
-
4
-
-
84906484697
-
Learning a deep convolutional network for image superresolution
-
Springer
-
C. Dong, C. C. Loy, K. He, and X. Tang. Learning a deep convolutional network for image superresolution. In ECCV, pages 184-199. Springer, 2014. 1
-
(2014)
ECCV
, vol.1
, pp. 184-199
-
-
Dong, C.1
Loy, C.C.2
He, K.3
Tang, X.4
-
5
-
-
80051902233
-
Domain transform for edge-aware image and video processing
-
ACM, 5
-
E. S. Gastal and M. M. Oliveira. Domain transform for edge-aware image and video processing. In TOG, volume 30, page 69. ACM, 2011. 5
-
(2011)
TOG
, vol.30
, pp. 69
-
-
Gastal, E.S.1
Oliveira, M.M.2
-
6
-
-
84871391765
-
Image colorization using similar images
-
ACM, 2, 5, 6, 7, 8
-
R. K. Gupta, A. Y.-S. Chia, D. Rajan, E. S. Ng, and H. Zhiyong. Image colorization using similar images. In ACM international conference on Multimedia, pages 369-378. ACM, 2012. 1, 2, 5, 6, 7, 8
-
(2012)
ACM International Conference on Multimedia
, vol.1
, pp. 369-378
-
-
Gupta, R.K.1
Chia, A.Y.-S.2
Rajan, D.3
Ng, E.S.4
Zhiyong, H.5
-
8
-
-
0035148669
-
Image analogies
-
A. Hertzmann, C. E. Jacobs, N. Oliver, B. Curless, and D. H. Salesin. Image analogies. In Proceedings of the 28th Annual Conference on Computer Graphics and Interactive Techniques, SIGGRAPH '01, pages 327-340, 2001. 2
-
(2001)
Proceedings of the 28th Annual Conference on Computer Graphics and Interactive Techniques, SIGGRAPH '01
, vol.2
, pp. 327-340
-
-
Hertzmann, A.1
Jacobs, C.E.2
Oliver, N.3
Curless, B.4
Salesin, D.H.5
-
9
-
-
0024880831
-
Multilayer feedforward networks are universal approximators
-
K. Hornik, M. Stinchcombe, and H. White. Multilayer feedforward networks are universal approximators. Neural networks, 2 (5): 359-366, 1989. 3
-
(1989)
Neural Networks
, vol.2-3
, Issue.5
, pp. 359-366
-
-
Hornik, K.1
Stinchcombe, M.2
White, H.3
-
10
-
-
84871397409
-
An adaptive edge detection based colorization algorithm and its applications
-
Y.-C. Huang, Y.-S. Tung, J.-C. Chen, S.-W. Wang, and J.-L. Wu. An adaptive edge detection based colorization algorithm and its applications. In Proceedings of the 13th Annual ACM International Conference on Multimedia, MULTIMEDIA '05, pages 351-354, 2005. 1, 2
-
(2005)
Proceedings of the 13th Annual ACM International Conference on Multimedia, MULTIMEDIA '05
, vol.1
, Issue.2
, pp. 351-354
-
-
Huang, Y.-C.1
Tung, Y.-S.2
Chen, J.-C.3
Wang, S.-W.4
Wu, J.-L.5
-
11
-
-
33749253271
-
Colorization by example
-
Citeseer, 1, 2, 5, 6, 7
-
R. Irony, D. Cohen-Or, and D. Lischinski. Colorization by example. In Eurographics Symp. on Rendering, volume 2. Citeseer, 2005. 1, 2, 5, 6, 7
-
(2005)
Eurographics Symp. on Rendering
, vol.2
-
-
Irony, R.1
Cohen-Or, D.2
Lischinski, D.3
-
12
-
-
84876231242
-
Imagenet classification with deep convolutional neural networks
-
A. Krizhevsky, I. Sutskever, and G. E. Hinton. Imagenet classification with deep convolutional neural networks. In Advances in neural information processing systems, pages 1097-1105, 2012. 1, 4
-
(2012)
Advances in Neural Information Processing Systems
, vol.1
, Issue.4
, pp. 1097-1105
-
-
Krizhevsky, A.1
Sutskever, I.2
Hinton, G.E.3
-
13
-
-
84872148084
-
Colorization using optimization
-
1, 2
-
A. Levin, D. Lischinski, and Y. Weiss. Colorization using optimization. In ACM SIGGRAPH 2004 Papers, pages 689-694, 2004. 1, 2
-
(2004)
ACM SIGGRAPH 2004 Papers
, pp. 689-694
-
-
Levin, A.1
Lischinski, D.2
Weiss, Y.3
-
14
-
-
84869203979
-
Intrinsic colorization
-
ACM, 1, 2, 5
-
X. Liu, L. Wan, Y. Qu, T.-T. Wong, S. Lin, C.-S. Leung, and P.-A. Heng. Intrinsic colorization. In TOG, volume 27, page 152. ACM, 2008. 1, 2, 5
-
(2008)
TOG
, vol.27
, pp. 152
-
-
Liu, X.1
Wan, L.2
Qu, Y.3
Wong, T.-T.4
Lin, S.5
Leung, C.-S.6
Heng, P.-A.7
-
16
-
-
51549116861
-
Natural image colorization
-
1, 2
-
Q. Luan, F. Wen, D. Cohen-Or, L. Liang, Y.-Q. Xu, and H.-Y. Shum. Natural image colorization. In Proceedings of the 18th Eurographics Conference on Rendering Techniques, EGSR'07, pages 309-320, 2007. 1, 2
-
(2007)
Proceedings of the 18th Eurographics Conference on Rendering Techniques, EGSR'07
, pp. 309-320
-
-
Luan, Q.1
Wen, F.2
Cohen-Or, D.3
Liang, L.4
Xu, Y.-Q.5
Shum, H.-Y.6
-
17
-
-
84898788725
-
Joint deep learning for pedestrian detection
-
IEEE
-
W. Ouyang and X. Wang. Joint deep learning for pedestrian detection. In ICCV, pages 2056-2063. IEEE, 2013. 1
-
(2013)
ICCV
, vol.1
, pp. 2056-2063
-
-
Ouyang, W.1
Wang, X.2
-
18
-
-
84866637964
-
Sun attribute database: Discovering, annotating, and recognizing scene attributes
-
IEEE
-
G. Patterson and J. Hays. Sun attribute database: Discovering, annotating, and recognizing scene attributes. In CVPR, pages 2751-2758. IEEE, 2012. 7
-
(2012)
CVPR
, vol.7
, pp. 2751-2758
-
-
Patterson, G.1
Hays, J.2
-
19
-
-
85031009921
-
Digital photography with flash and no-flash image pairs
-
G. Petschnigg, M. Agrawala, H. Hoppe, R. Szeliski, M. Cohen, and K. Toyama. Digital photography with flash and no-flash image pairs. ToG, 2004. 6
-
(2004)
ToG
, vol.6
-
-
Petschnigg, G.1
Agrawala, M.2
Hoppe, H.3
Szeliski, R.4
Cohen, M.5
Toyama, K.6
-
20
-
-
77953983427
-
Manga colorization
-
1, 2
-
Y. Qu, T.-T. Wong, and P.-A. Heng. Manga colorization. In ACM SIGGRAPH 2006 Papers, SIGGRAPH '06, pages 1214-1220, 2006. 1, 2
-
(2006)
ACM SIGGRAPH 2006 Papers, SIGGRAPH '06
, pp. 1214-1220
-
-
Qu, Y.1
Wong, T.-T.2
Heng, P.-A.3
-
21
-
-
0035449032
-
Color transfer between images
-
2
-
E. Reinhard, M. Ashikhmin, B. Gooch, and P. Shirley. Color transfer between images. IEEE Comput. Graph. Appl., 21 (5): 34-41, 2001. 2
-
(2001)
IEEE Comput. Graph. Appl.
, vol.21
, Issue.5
, pp. 34-41
-
-
Reinhard, E.1
Ashikhmin, M.2
Gooch, B.3
Shirley, P.4
-
22
-
-
51949119638
-
A fast local descriptor for dense matching
-
IEEE
-
E. Tola, V. Lepetit, and P. Fua. A fast local descriptor for dense matching. In CVPR, pages 1-8. IEEE, 2008. 4, 7
-
(2008)
CVPR
, vol.4
, Issue.7
, pp. 1-8
-
-
Tola, E.1
Lepetit, V.2
Fua, P.3
-
23
-
-
77953849763
-
Transferring color to greyscale images
-
July, 1, 2, 6, 7
-
T. Welsh, M. Ashikhmin, and K. Mueller. Transferring color to greyscale images. ACM Trans. Graph., 21 (3): 277-280, July 2002. 1, 2, 6, 7
-
(2002)
ACM Trans. Graph.
, vol.21
, Issue.3
, pp. 277-280
-
-
Welsh, T.1
Ashikhmin, M.2
Mueller, K.3
-
24
-
-
84973904361
-
-
arXiv preprint arXiv: 1412. 7725. 1, 2, 5
-
Z. Yan, H. Zhang, B. Wang, S. Paris, and Y. Yu. Automatic photo adjustment using deep learning. ArXiv preprint arXiv: 1412. 7725, 2014. 1, 2, 5
-
(2014)
Automatic Photo Adjustment Using Deep Learning
-
-
Yan, Z.1
Zhang, H.2
Wang, B.3
Paris, S.4
Yu, Y.5
-
25
-
-
33645967773
-
Fast image and video colorization using chrominance blending
-
1, 2
-
L. Yatziv and G. Sapiro. Fast image and video colorization using chrominance blending. Trans. Img. Proc., 15 (5): 1120-1129, 2006. 1, 2
-
(2006)
Trans. Img. Proc.
, vol.15
, Issue.5
, pp. 1120-1129
-
-
Yatziv, L.1
Sapiro, G.2
-
26
-
-
84898828144
-
Multi-stage contextual deep learning for pedestrian detection
-
IEEE
-
X. Zeng, W. Ouyang, and X. Wang. Multi-stage contextual deep learning for pedestrian detection. In ICCV, pages 121-128. IEEE, 2013. 1
-
(2013)
ICCV
, vol.1
, pp. 121-128
-
-
Zeng, X.1
Ouyang, W.2
Wang, X.3
-
27
-
-
77956176074
-
Detecting object boundaries using low-, mid-, and high-level information
-
2, 5
-
S. Zheng, A. Yuille, and Z. Tu. Detecting object boundaries using low-, mid-, and high-level information. CVIU, 114 (10): 1055-1067, 2010. 2, 5
-
(2010)
CVIU
, vol.114
, Issue.10
, pp. 1055-1067
-
-
Zheng, S.1
Yuille, A.2
Tu, Z.3
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