-
4
-
-
84906484697
-
Learning a deep convolutional network for image super-resolution
-
Springer
-
C. Dong, C. C. Loy, K. He, and X. Tang. Learning a deep convolutional network for image super-resolution. In European Conference on Computer Vision, pages 184-199. Springer, 2014.
-
(2014)
European Conference on Computer Vision
, pp. 184-199
-
-
Dong, C.1
Loy, C.C.2
He, K.3
Tang, X.4
-
5
-
-
84962128851
-
Image super-resolution using deep convolutional networks
-
C. Dong, C. C. Loy, K. He, and X. Tang. Image super-resolution using deep convolutional networks. IEEE transactions on pattern analysis and machine intelligence, 38 (2):295-307, 2016.
-
(2016)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.38
, Issue.2
, pp. 295-307
-
-
Dong, C.1
Loy, C.C.2
He, K.3
Tang, X.4
-
6
-
-
0018506597
-
Lanczos filtering in one and two dimensions
-
C. E. Duchon. Lanczos filtering in one and two dimensions. Journal of Applied Meteorology, 18 (8):1016-1022, 1979.
-
(1979)
Journal of Applied Meteorology
, vol.18
, Issue.8
, pp. 1016-1022
-
-
Duchon, C.E.1
-
7
-
-
79955668981
-
Image and video upscaling from local self-examples
-
G. Freedman and R. Fattal. Image and video upscaling from local self-examples. ACM Transactions on Graphics (TOG), 30 (2):12, 2011.
-
(2011)
ACM Transactions on Graphics (TOG)
, vol.30
, Issue.2
, pp. 12
-
-
Freedman, G.1
Fattal, R.2
-
9
-
-
84911400494
-
Rich feature hierarchies for accurate object detection and semantic segmentation
-
R. Girshick, J. Donahue, T. Darrell, and J. Malik. Rich feature hierarchies for accurate object detection and semantic segmentation. In Proceedings of the IEEE conference on computer vision and pattern recognition, pages 580-587, 2014.
-
(2014)
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
, pp. 580-587
-
-
Girshick, R.1
Donahue, J.2
Darrell, T.3
Malik, J.4
-
10
-
-
84973862709
-
Convolutional sparse coding for image super-resolution
-
S. Gu, W. Zuo, Q. Xie, D. Meng, X. Feng, and L. Zhang. Convolutional sparse coding for image super-resolution. In Proceedings of the IEEE International Conference on Computer Vision, pages 1823-1831, 2015.
-
(2015)
Proceedings of the IEEE International Conference on Computer Vision
, pp. 1823-1831
-
-
Gu, S.1
Zuo, W.2
Xie, Q.3
Meng, D.4
Feng, X.5
Zhang, L.6
-
11
-
-
0037702894
-
Eigenface-domain super-resolution for face recognition
-
B. K. Gunturk, A. U. Batur, Y. Altunbasak, M. H. Hayes, and R. M. Mersereau. Eigenface-domain super-resolution for face recognition. IEEE transactions on image processing, 12 (5):597-606, 2003.
-
(2003)
IEEE Transactions on Image Processing
, vol.12
, Issue.5
, pp. 597-606
-
-
Gunturk, B.K.1
Batur, A.U.2
Altunbasak, Y.3
Hayes, M.H.4
Mersereau, R.M.5
-
12
-
-
84986274465
-
Deep residual learning for image recognition
-
K. He, X. Zhang, S. Ren, and J. Sun. Deep residual learning for image recognition. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 770-778, 2016.
-
(2016)
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
, pp. 770-778
-
-
He, K.1
Zhang, X.2
Ren, S.3
Sun, J.4
-
13
-
-
84990854047
-
Perceptual losses for real-time style transfer and super-resolution
-
Springer
-
J. Johnson, A. Alahi, and L. Fei-Fei. Perceptual losses for real-time style transfer and super-resolution. In European Conference on Computer Vision, pages 694-711. Springer, 2016.
-
(2016)
European Conference on Computer Vision
, pp. 694-711
-
-
Johnson, J.1
Alahi, A.2
Fei-Fei, L.3
-
16
-
-
77951623771
-
Single-image super-resolution using sparse regression and natural image prior
-
K. I. Kim and Y. Kwon. Single-image super-resolution using sparse regression and natural image prior. IEEE transactions on pattern analysis and machine intelligence, 32 (6):1127-1133, 2010.
-
(2010)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.32
, Issue.6
, pp. 1127-1133
-
-
Kim, K.I.1
Kwon, Y.2
-
18
-
-
85019017178
-
-
arXiv preprint arXiv:1609. 04802
-
C. Ledig, L. Theis, F. Huszár, J. Caballero, A. Cunningham, A. Acosta, A. Aitken, A. Tejani, J. Totz, Z. Wang, et al. Photo-realistic single image super-resolution using a generative adversarial network. arXiv preprint arXiv:1609. 04802, 2016.
-
(2016)
Photo-realistic Single Image Super-resolution Using A Generative Adversarial Network
-
-
Ledig, C.1
Theis, L.2
Huszár, F.3
Caballero, J.4
Cunningham, A.5
Acosta, A.6
Aitken, A.7
Tejani, A.8
Totz, J.9
Wang, Z.10
-
21
-
-
84948382785
-
Deepid-net: Deformable deep convolutional neural networks for object detection
-
W. Ouyang, X. Wang, X. Zeng, S. Qiu, P. Luo, Y. Tian, H. Li, S. Yang, Z. Wang, C.-C. Loy, et al. Deepid-net: Deformable deep convolutional neural networks for object detection. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 2403-2412, 2015.
-
(2015)
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
, pp. 2403-2412
-
-
Ouyang, W.1
Wang, X.2
Zeng, X.3
Qiu, S.4
Luo, P.5
Tian, Y.6
Li, H.7
Yang, S.8
Wang, Z.9
Loy, C.-C.10
-
23
-
-
84986308391
-
Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network
-
W. Shi, J. Caballero, F. Huszár, J. Totz, A. P. Aitken, R. Bishop, D. Rueckert, and Z. Wang. Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 1874-1883, 2016.
-
(2016)
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
, pp. 1874-1883
-
-
Shi, W.1
Caballero, J.2
Huszár, F.3
Totz, J.4
Aitken, A.P.5
Bishop, R.6
Rueckert, D.7
Wang, Z.8
-
24
-
-
84885896077
-
Cardiac image super-resolution with global correspondence using multi-atlas patchmatch
-
Springer
-
W. Shi, J. Caballero, C. Ledig, X. Zhuang, W. Bai, K. Bhatia, A. M. S. M. de Marvao, T. Dawes, D. ORegan, and D. Rueckert. Cardiac image super-resolution with global correspondence using multi-atlas patchmatch. In International Conference on Medical Image Computing and Computer-Assisted Intervention, pages 9-16. Springer, 2013.
-
(2013)
International Conference on Medical Image Computing and Computer-Assisted Intervention
, pp. 9-16
-
-
Shi, W.1
Caballero, J.2
Ledig, C.3
Zhuang, X.4
Bai, W.5
Bhatia, K.6
De Marvao, A.M.S.M.7
Dawes, T.8
O'Regan, D.9
Rueckert, D.10
-
25
-
-
79957490936
-
Gradient profile prior and its applications in image super-resolution and enhancement
-
J. Sun, Z. Xu, and H.-Y. Shum. Gradient profile prior and its applications in image super-resolution and enhancement. IEEE Transactions on Image Processing, 20 (6):1529-1542, 2011.
-
(2011)
IEEE Transactions on Image Processing
, vol.20
, Issue.6
, pp. 1529-1542
-
-
Sun, J.1
Xu, Z.2
Shum, H.-Y.3
-
26
-
-
84937852544
-
Deep learning face representation by joint identification-verification
-
Y. Sun, Y. Chen, X. Wang, and X. Tang. Deep learning face representation by joint identification-verification. In Advances in neural information processing systems, pages 1988-1996, 2014.
-
(2014)
Advances in Neural Information Processing Systems
, pp. 1988-1996
-
-
Sun, Y.1
Chen, Y.2
Wang, X.3
Tang, X.4
-
28
-
-
84937522268
-
Going deeper with convolutions
-
June
-
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich. Going deeper with convolutions. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2015.
-
(2015)
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
-
-
Szegedy, C.1
Liu, W.2
Jia, Y.3
Sermanet, P.4
Reed, S.5
Anguelov, D.6
Erhan, D.7
Vanhoucke, V.8
Rabinovich, A.9
-
30
-
-
84983684720
-
A+: Adjusted anchored neighborhood regression for fast super-resolution
-
Springer
-
R. Timofte, V. De Smet, and L. Van Gool. A+: Adjusted anchored neighborhood regression for fast super-resolution. In Asian Conference on Computer Vision, pages 111-126. Springer, 2014.
-
(2014)
Asian Conference on Computer Vision
, pp. 111-126
-
-
Timofte, R.1
De Smet, V.2
Van Gool, L.3
-
33
-
-
84864128043
-
Coupled dictionary training for image super-resolution
-
J. Yang, Z. Wang, Z. Lin, S. Cohen, and T. Huang. Coupled dictionary training for image super-resolution. IEEE Transactions on Image Processing, 21 (8):3467-3478, 2012.
-
(2012)
IEEE Transactions on Image Processing
, vol.21
, Issue.8
, pp. 3467-3478
-
-
Yang, J.1
Wang, Z.2
Lin, Z.3
Cohen, S.4
Huang, T.5
-
34
-
-
51949105499
-
Image superresolution as sparse representation of raw image patches
-
IEEE
-
J. Yang, J. Wright, T. Huang, and Y. Ma. Image superresolution as sparse representation of raw image patches. In Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on, pages 1-8. IEEE, 2008.
-
(2008)
Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on
, pp. 1-8
-
-
Yang, J.1
Wright, J.2
Huang, T.3
Ma, Y.4
-
35
-
-
78049312324
-
Image superresolution via sparse representation
-
J. Yang, J. Wright, T. S. Huang, and Y. Ma. Image superresolution via sparse representation. IEEE transactions on image processing, 19 (11):2861-2873, 2010.
-
(2010)
IEEE Transactions on Image Processing
, vol.19
, Issue.11
, pp. 2861-2873
-
-
Yang, J.1
Wright, J.2
Huang, T.S.3
Ma, Y.4
-
37
-
-
70350716279
-
A super-resolution reconstruction algorithm for surveillance images
-
L. Zhang, H. Zhang, H. Shen, and P. Li. A super-resolution reconstruction algorithm for surveillance images. Signal Processing, 90 (3):848-859, 2010.
-
(2010)
Signal Processing
, vol.90
, Issue.3
, pp. 848-859
-
-
Zhang, L.1
Zhang, H.2
Shen, H.3
Li, P.4
|