-
1
-
-
84906484697
-
Learning a deep convolutional network for image super-resolution
-
Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.), Springer, Heidelberg
-
Dong, C., Loy, C.C., He, K., Tang, X.: Learning a deep convolutional network for image super-resolution. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014, Part IV. LNCS, vol. 8692, pp. 184-199. Springer, Heidelberg (2014)
-
(2014)
ECCV 2014, Part IV. LNCS
, vol.8692
, pp. 184-199
-
-
Dong, C.1
Loy, C.C.2
He, K.3
Tang, X.4
-
2
-
-
84962128851
-
Image super-resolution using deep convolutional networks
-
Dong, C., Loy, C.C., He, K., Tang, X.: Image super-resolution using deep convolutional networks. TPAMI 38(2), 295-307 (2015)
-
(2015)
TPAMI
, vol.38
, Issue.2
, pp. 295-307
-
-
Dong, C.1
Loy, C.C.2
He, K.3
Tang, X.4
-
3
-
-
84898787395
-
Fast direct super-resolution by simple functions
-
Yang, C.Y., Yang, M.H.: Fast direct super-resolution by simple functions. In: ICCV, pp. 561-568 (2013)
-
(2013)
ICCV
, pp. 561-568
-
-
Yang, C.Y.1
Yang, M.H.2
-
4
-
-
84898792173
-
Anchored neighborhood regression for fast example-based super-resolution
-
Timofte, R., De Smet, V., Van Gool, L.: Anchored neighborhood regression for fast example-based super-resolution. In: ICCV, pp. 1920-1927 (2013)
-
(2013)
ICCV
, pp. 1920-1927
-
-
Timofte, R.1
De Smet, V.2
Van Gool, L.3
-
5
-
-
84983684720
-
A+: Adjusted anchored neighborhood regression for fast super-resolution
-
Cremers, D., Reid, I., Saito, H., Yang, M.-H. (eds.), Springer, Heidelberg
-
Timofte, R., De Smet, V., Van Gool, L.: A+: adjusted anchored neighborhood regression for fast super-resolution. In: Cremers, D., Reid, I., Saito, H., Yang, M.-H. (eds.) ACCV 2014. LNCS, vol. 9006, pp. 111-126. Springer, Heidelberg (2015)
-
(2015)
ACCV 2014. LNCS
, vol.9006
, pp. 111-126
-
-
Timofte, R.1
De Smet, V.2
Van Gool, L.3
-
6
-
-
84906509108
-
Deep network cascade for image super-resolution
-
Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.), Springer, Heidelberg
-
Cui, Z., Chang, H., Shan, S., Zhong, B., Chen, X.: Deep network cascade for image super-resolution. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014, Part V. LNCS, vol. 8693, pp. 49-64. Springer, Heidelberg (2014)
-
(2014)
ECCV 2014, Part V. LNCS
, vol.8693
, pp. 49-64
-
-
Cui, Z.1
Chang, H.2
Shan, S.3
Zhong, B.4
Chen, X.5
-
7
-
-
84959234116
-
Fast and accurate image upscaling with super-resolution forests
-
Schulter, S., Leistner, C., Bischof, H.: Fast and accurate image upscaling with super-resolution forests. In: CVPR, pp. 3791-3799 (2015)
-
(2015)
CVPR
, pp. 3791-3799
-
-
Schulter, S.1
Leistner, C.2
Bischof, H.3
-
8
-
-
84986251426
-
Deeply improved sparse coding for image super-resolution
-
Wang, Z., Liu, D., Yang, J., Han, W., Huang, T.: Deeply improved sparse coding for image super-resolution. In: ICCV, pp. 370-378 (2015)
-
(2015)
ICCV
, pp. 370-378
-
-
Wang, Z.1
Liu, D.2
Yang, J.3
Han, W.4
Huang, T.5
-
9
-
-
84855655878
-
On single image scale-up using sparserepresentations
-
Boissonnat, J.-D., Chenin, P., Cohen, A., Gout, C., Lyche, T., Mazure, M.-L., Schumaker, L. (eds.), Springer, Heidelberg
-
Zeyde, R., Elad, M., Protter, M.: On single image scale-up using sparserepresentations. In: Boissonnat, J.-D., Chenin, P., Cohen, A., Gout, C., Lyche, T., Mazure, M.-L., Schumaker, L. (eds.) Curves and Surfaces 2011. LNCS, vol. 6920, pp. 711-730. Springer, Heidelberg (2012)
-
(2012)
Curves and Surfaces 2011. LNCS
, vol.6920
, pp. 711-730
-
-
Zeyde, R.1
Elad, M.2
Protter, M.3
-
10
-
-
78049312324
-
Image super-resolution via sparse representation
-
Yang, J., Wright, J., Huang, T.S., Ma, Y.: Image super-resolution via sparse representation. TIP 19(11), 2861-2873 (2010)
-
(2010)
TIP
, vol.19
, Issue.11
, pp. 2861-2873
-
-
Yang, J.1
Wright, J.2
Huang, T.S.3
Ma, Y.4
-
11
-
-
84906489074
-
Visualizing and understanding convolutional networks
-
Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.), Springer, Heidelberg
-
Zeiler, M.D., Fergus, R.: Visualizing and understanding convolutional networks. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014, Part I. LNCS, vol. 8689, pp. 818-833. Springer, Heidelberg (2014)
-
(2014)
ECCV 2014, Part I. LNCS
, vol.8689
, pp. 818-833
-
-
Zeiler, M.D.1
Fergus, R.2
-
12
-
-
84937878882
-
Deep convolutional neural network for image deconvolution
-
Xu, L., Ren, J.S., Liu, C., Jia, J.: Deep convolutional neural network for image deconvolution. In: NIPS, pp. 1790-1798 (2014)
-
(2014)
NIPS
, pp. 1790-1798
-
-
Xu, L.1
Ren, J.S.2
Liu, C.3
Jia, J.4
-
13
-
-
84945230598
-
Fully convolutional networks for semantic segmentation
-
Long, J., Shelhamer, E., Darrell, T.: Fully convolutional networks for semantic segmentation. In: CVPR, pp. 3431-3440 (2015)
-
(2015)
CVPR
, pp. 3431-3440
-
-
Long, J.1
Shelhamer, E.2
Darrell, T.3
-
14
-
-
84959184995
-
Learning to generate chairs with convolutional neural networks
-
Dosovitskiy, A., Tobias Springenberg, J., Brox, T.: Learning to generate chairs with convolutional neural networks. In: CVPR, pp. 1538-1546 (2015)
-
(2015)
CVPR
, pp. 1538-1546
-
-
Dosovitskiy, A.1
Tobias Springenberg, J.2
Brox, T.3
-
15
-
-
84898409537
-
Low-complexity singleimage super-resolution based on nonnegative neighbor embedding
-
Bevilacqua, M., Roumy, A., Guillemot, C., Morel, M.L.A.: Low-complexity singleimage super-resolution based on nonnegative neighbor embedding. In: BMVC (2012)
-
(2012)
BMVC
-
-
Bevilacqua, M.1
Roumy, A.2
Guillemot, C.3
Morel, M.L.A.4
-
16
-
-
85023766712
-
Deep cascaded bi-network for face hallucination
-
Zhu, S., Liu, S., Loy, C.C., Tang, X.: Deep cascaded bi-network for face hallucination. In: ECCV (2016)
-
(2016)
ECCV
-
-
Zhu, S.1
Liu, S.2
Loy, C.C.3
Tang, X.4
-
17
-
-
84990033963
-
Depth map super resolution by deep multi-scale guidance
-
Hui, T.W., Loy, C.C., Tang, X.: Depth map super resolution by deep multi-scale guidance. In: ECCV (2016)
-
(2016)
ECCV
-
-
Hui, T.W.1
Loy, C.C.2
Tang, X.3
-
18
-
-
84986325587
-
Accurate image super-resolution using very deep convolutional networks
-
Kim, J., Lee, J.K., Lee, K.M.: Accurate image super-resolution using very deep convolutional networks. In: CVPR (2016)
-
(2016)
CVPR
-
-
Kim, J.1
Lee, J.K.2
Lee, K.M.3
-
19
-
-
84986253618
-
Deeply-recursive convolutional network for image super-resolution
-
Kim, J., Lee, J.K., Lee, K.M.: Deeply-recursive convolutional network for image super-resolution. In: CVPR (2016)
-
(2016)
CVPR
-
-
Kim, J.1
Lee, J.K.2
Lee, K.M.3
-
20
-
-
84937896655
-
Exploiting linear structure within convolutional networks for efficient evaluation
-
Denton, E.L., Zaremba, W., Bruna, J., LeCun, Y., Fergus, R.: Exploiting linear structure within convolutional networks for efficient evaluation. In: NIPS, pp. 1269-1277 (2014)
-
(2014)
NIPS
, pp. 1269-1277
-
-
Denton, E.L.1
Zaremba, W.2
Bruna, J.3
LeCun, Y.4
Fergus, R.5
-
21
-
-
84994604648
-
Accelerating very deep convolutional networks for classification and detection
-
Zhang, X., Zou, J., He, K., Sun, J.: Accelerating very deep convolutional networks for classification and detection. In: TPAMI (2015)
-
(2015)
TPAMI
-
-
Zhang, X.1
Zou, J.2
He, K.3
Sun, J.4
-
23
-
-
84973911419
-
Delving deep into rectifiers: Surpassing humanlevel performance on imagenet classification
-
He, K., Zhang, X., Ren, S., Sun, J.: Delving deep into rectifiers: surpassing humanlevel performance on imagenet classification. In: ICCV, pp. 1026-1034 (2015)
-
(2015)
ICCV
, pp. 1026-1034
-
-
He, K.1
Zhang, X.2
Ren, S.3
Sun, J.4
-
24
-
-
84906495121
-
Single-Image super-resolution: A benchmark
-
Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.), Springer, Heidelberg
-
Yang, C.-Y., Ma, C., Yang, M.-H.: Single-Image super-resolution: a benchmark. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014, Part IV. LNCS, vol. 8692, pp. 372-386. Springer, Heidelberg (2014)
-
(2014)
ECCV 2014, Part IV. LNCS
, vol.8692
, pp. 372-386
-
-
Yang, C.-Y.1
Ma, C.2
Yang, M.-H.3
-
25
-
-
0034850577
-
A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
-
Martin, D., Fowlkes, C., Tal, D., Malik, J.: A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics. In: ICCV, vol. 2, pp. 416-423 (2001)
-
(2001)
ICCV, vol. 2
, pp. 416-423
-
-
Martin, D.1
Fowlkes, C.2
Tal, D.3
Malik, J.4
-
26
-
-
84959188745
-
Single image super-resolution from transformed self-exemplars
-
Huang, J.B., Singh, A., Ahuja, N.: Single image super-resolution from transformed self-exemplars. In: CVPR, pp. 5197-5206 (2015)
-
(2015)
CVPR
, pp. 5197-5206
-
-
Huang, J.B.1
Singh, A.2
Ahuja, N.3
-
27
-
-
84913580146
-
Caffe: Convolutional architecture for fast feature embedding
-
Jia, Y., Shelhamer, E., Donahue, J., Karayev, S., Long, J., Girshick, R., Guadarrama, S., Darrell, T.: Caffe: convolutional architecture for fast feature embedding. In: ACM MM, pp. 675-678 (2014)
-
(2014)
ACM MM
, 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
-
28
-
-
77951623771
-
Single-image super-resolution using sparse regression and natural image prior
-
Kim, K.I., Kwon, Y.: Single-image super-resolution using sparse regression and natural image prior. TPAMI 32(6), 1127-1133 (2010)
-
(2010)
TPAMI
, vol.32
, Issue.6
, pp. 1127-1133
-
-
Kim, K.I.1
Kwon, Y.2
-
29
-
-
28844464788
-
An information fidelity criterion for image quality assessment using natural scene statistics
-
Sheikh, H.R., Bovik, A.C., De Veciana, G.: An information fidelity criterion for image quality assessment using natural scene statistics. TIP 14(12), 2117-2128 (2005)
-
(2005)
TIP
, vol.14
, Issue.12
, pp. 2117-2128
-
-
Sheikh, H.R.1
Bovik, A.C.2
De Veciana, G.3
|