-
4
-
-
84956677149
-
Dictionary-based multiple frame video super-resolution
-
Q. Dai, S. Yoo, A. Kappeler, and A. K. Katsaggelos. Dictionary-based multiple frame video super-resolution. IEEE International Conference on Image Processing (ICIP), pages 83-87, 2015.
-
(2015)
IEEE International Conference on Image Processing (ICIP)
, pp. 83-87
-
-
Dai, Q.1
Yoo, S.2
Kappeler, A.3
Katsaggelos, A.K.4
-
6
-
-
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 (TPAMI), 38(2):295-307, 2015.
-
(2015)
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
, vol.38
, Issue.2
, pp. 295-307
-
-
Dong, C.1
Loy, C.C.2
He, K.3
Tang, X.4
-
7
-
-
84990837045
-
Accelerating the super-resolution convolutional neural network
-
Springer International Publishing
-
C. Dong, C. C. Loy, and X. Tang. Accelerating the super-resolution convolutional neural network. In European Conference on Computer Vision (ECCV), pages 391-407. Springer International Publishing, 2016.
-
(2016)
European Conference on Computer Vision (ECCV)
, pp. 391-407
-
-
Dong, C.1
Loy, C.C.2
Tang, X.3
-
9
-
-
84973904859
-
FlowNet: Learning optical flow with convolutional networks
-
A. Dosovitskiy, P. Fischery, E. Ilg, C. Hazirbas, V. Golkov, P. van der Smagt, D. Cremers, and T. Brox. FlowNet: Learning optical flow with convolutional networks. International Conference on Computer Vision (ICCV), pages 2758-2766, 2015.
-
(2015)
International Conference on Computer Vision (ICCV)
, pp. 2758-2766
-
-
Dosovitskiy, A.1
Fischery, P.2
Ilg, E.3
Hazirbas, C.4
Golkov, V.5
Van der Smagt, P.6
Cremers, D.7
Brox, T.8
-
10
-
-
35248856569
-
Two-frame motion estimation based on polynomial expansion
-
G. Farneback. Two-frame motion estimation based on polynomial expansion. Scandinavian Conference on Image Analysis, pages 363-370, 2003.
-
(2003)
Scandinavian Conference on Image Analysis
, pp. 363-370
-
-
Farneback, G.1
-
11
-
-
84990855318
-
DeepWarp: Photorealistic Image Resynthesis for Gaze Manipulation
-
Y. Ganin, D. Kononenko, D. Sungatullina, and V. Lempitsky. DeepWarp: Photorealistic Image Resynthesis for Gaze Manipulation. European Conference on Computer Vision (ECCV), pages 311-326, 2016.
-
(2016)
European Conference on Computer Vision (ECCV)
, pp. 311-326
-
-
Ganin, Y.1
Kononenko, D.2
Sungatullina, D.3
Lempitsky, V.4
-
13
-
-
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
-
14
-
-
85040359536
-
Gvnn: Neural Network Library for Geometric Computer Vision
-
A. Handa, M. Bloesch, V. Patraucean, S. Stent, J. McCormac, and A. Davison. gvnn: Neural Network Library for Geometric Computer Vision. European Conference on Computer Vision (ECCV) Workshop on Deep Geometry, 2016.
-
(2016)
European Conference on Computer Vision (ECCV) Workshop on Deep Geometry
-
-
Handa, A.1
Bloesch, M.2
Patraucean, V.3
Stent, S.4
McCormac, J.5
Davison, A.6
-
16
-
-
84990050094
-
Identity mappings in deep residual networks
-
K. He, X. Zhang, S. Ren, and J. Sun. Identity mappings in deep residual networks. European Conference on Computer Vision, pages 630-645, 2016.
-
(2016)
European Conference on Computer Vision
, pp. 630-645
-
-
He, K.1
Zhang, X.2
Ren, S.3
Sun, J.4
-
19
-
-
84965096967
-
Spatial transformer networks
-
M. Jaderberg, K. Simonyan, A. Zisserman, and K. Kavukcuoglu. Spatial transformer networks. Advances in Neural Information Processing Systems (NIPS), pages 2017-2025, 2015.
-
(2015)
Advances in Neural Information Processing Systems (NIPS)
, pp. 2017-2025
-
-
Jaderberg, M.1
Simonyan, K.2
Zisserman, A.3
Kavukcuoglu, K.4
-
21
-
-
85046260289
-
Learning-based view synthesis for light field cameras
-
N. Kalantari, T.Wang, and R. Ramamoorthi. Learning-based view synthesis for light field cameras. ACM Transactions on Graphics (TOG), 35(6):193, 2016.
-
(2016)
ACM Transactions on Graphics (TOG)
, vol.35
, Issue.6
, pp. 193
-
-
Kalantari, N.1
Wang, T.2
Ramamoorthi, R.3
-
22
-
-
85140805648
-
Video super-resolution with convolutional neural networks
-
A. Kappeler, S. Yoo, Q. Dai, and A. K. Katsaggelos. Video super-resolution with convolutional neural networks. IEEE Transactions on Computational Imaging, 2(2):109- 122, 2016.
-
(2016)
IEEE Transactions on Computational Imaging
, vol.2
, Issue.2
, pp. 109-122
-
-
Kappeler, A.1
Yoo, S.2
Dai, Q.3
Katsaggelos, A.K.4
-
23
-
-
84911364368
-
Large-scale video classification with convolutional neural networks. in
-
A. Karpathy, G. Toderici, S. Shetty, T. Leung, R. Sukthankar, and L. Fei-Fei. Large-scale video classification with convolutional neural networks. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 1725-1732, 2014.
-
(2014)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
, pp. 1725-1732
-
-
Karpathy, A.1
Toderici, G.2
Shetty, S.3
Leung, T.4
Sukthankar, R.5
Fei-Fei, L.6
-
26
-
-
85019017178
-
-
arXiv preprint arXiv: 1609.04802
-
C. Ledig, L. Theis, F. Huszar, J. Caballero, A. Aitken, A. Tejani, J. Totz, Z. Wang, and W. Shi. 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
Huszar, F.3
Caballero, J.4
Aitken, A.5
Tejani, A.6
Totz, J.7
Wang, Z.8
Shi, W.9
-
28
-
-
85032751363
-
Super-resolution image reconstruction: A technical overview
-
S. C. Park, M. K. Park, and M. G. Kang. Super-resolution image reconstruction: A technical overview. IEEE Signal Processing Magazine, 20(3):21-36, 2003.
-
(2003)
IEEE Signal Processing Magazine
, vol.20
, Issue.3
, pp. 21-36
-
-
Park, S.C.1
Park, M.K.2
Kang, M.G.3
-
31
-
-
76849101279
-
Motion tuned spatio-temporal quality assessment of natural videos motion tuned spatio-temporal quality assessment of natural videos
-
K. Seshadrinathan, S. Member, and A. C. Bovik. Motion tuned spatio-temporal quality assessment of natural videos motion tuned spatio-temporal quality assessment of natural videos. IEEE Transactions on Image Processing, 19(2):335- 350, 2010.
-
(2010)
IEEE Transactions on Image Processing
, vol.19
, Issue.2
, pp. 335-350
-
-
Seshadrinathan, K.1
Member, S.2
Bovik, A.C.3
-
33
-
-
84986308391
-
Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network
-
W. Shi, J. Caballero, H. Ferenc, T. Johannes, A. P. Aitken, R. Bishop, R. Daniel, and Z. Wang. Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 1874- 1883, 2016.
-
(2016)
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
, pp. 1874-1883
-
-
Shi, W.1
Caballero, J.2
Ferenc, H.3
Johannes, T.4
Aitken, A.P.5
Bishop, R.6
Daniel, R.7
Wang, Z.8
-
34
-
-
84885896077
-
Cardiac image super-resolution with global correspondence using multi-atlas PatchMatch
-
W. Shi, J. Caballero, C. Ledig, X. Zhuang, W. Bai, K. Bhatia, A. M. S. M. De Marvao, T. Dawes, D. O'Regan, 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 (MICCAI), pages 9-16, 2013.
-
(2013)
International Conference on Medical Image Computing and Computer- Assisted Intervention (MICCAI)
, 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
-
35
-
-
33847712243
-
Kernel regression for image processing and reconstruction
-
H. Takeda, S. Farsiu, and P. Milanfar. Kernel regression for image processing and reconstruction. IEEE Transactions on Image Processing, 16(2):349-366, 2007.
-
(2007)
IEEE Transactions on Image Processing
, vol.16
, Issue.2
, pp. 349-366
-
-
Takeda, H.1
Farsiu, S.2
Milanfar, P.3
-
36
-
-
69349102108
-
Superresolution without explicit subpixel motion estimation
-
H. Takeda, P. Milanfar, M. Protter, and M. Elad. Superresolution without explicit subpixel motion estimation. IEEE Transactions on Image Processing, 18(9):1958-1975, 2009.
-
(2009)
IEEE Transactions on Image Processing
, vol.18
, Issue.9
, pp. 1958-1975
-
-
Takeda, H.1
Milanfar, P.2
Protter, M.3
Elad, M.4
-
37
-
-
84973865953
-
Learning spatiotemporal features with 3D convolutional networks
-
D. Tran, L. Bourdev, R. Fergus, L. Torresani, and M. Paluri. Learning spatiotemporal features with 3D convolutional networks. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 4489-4497, 2015.
-
(2015)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
, pp. 4489-4497
-
-
Tran, D.1
Bourdev, L.2
Fergus, R.3
Torresani, L.4
Paluri, M.5
-
38
-
-
84864128043
-
Coupled dictionary training for image super-resolution
-
J. Yang, S. Member, and Z. Wang. 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
Member, S.2
Wang, Z.3
-
39
-
-
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
-
40
-
-
1942436689
-
Image quality assessment: Form error visibility to structural similarity
-
W. Zhou, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli. Image quality assessment: form error visibility to structural similarity. IEEE Transactions on Image Processing, 13(4):600-612, 2004.
-
(2004)
IEEE Transactions on Image Processing
, vol.13
, Issue.4
, pp. 600-612
-
-
Zhou, W.1
Bovik, A.C.2
Sheikh, H.R.3
Simoncelli, E.P.4
|