-
1
-
-
70450186191
-
Frequency-tuned salient region detection
-
IEEE
-
R. Achanta, S. Hemami, F. Estrada, and S. Susstrunk. Frequency-tuned salient region detection. In IEEE Confer-ence on Computer Vision and Pattern Recognition, pages 1597-1604. IEEE, 2009.
-
(2009)
IEEE Confer-ence on Computer Vision and Pattern Recognition
, pp. 1597-1604
-
-
Achanta, R.1
Hemami, S.2
Estrada, F.3
Susstrunk, S.4
-
2
-
-
34948898079
-
Image segmentation by probabilistic bottom-up aggregation and cue integration
-
S. Alpert, M. Galun, R. Basri, and A. Brandt. Image segmentation by probabilistic bottom-up aggregation and cue integration. In IEEE Conference on Computer Vision and Pattern Recognition, pages 1-8, 2007.
-
(2007)
IEEE Conference on Computer Vision and Pattern Recognition
, pp. 1-8
-
-
Alpert, S.1
Galun, M.2
Basri, R.3
Brandt, A.4
-
4
-
-
84957798522
-
Salient object detection: A benchmark
-
A. Borji, M. Cheng, H. Jiang, and J. Li. Salient object detection: A benchmark. IEEE Transactions on Image Processing, 24(12):5706-5722, 2015.
-
(2015)
IEEE Transactions on Image Processing
, vol.24
, Issue.12
, pp. 5706-5722
-
-
Borji, A.1
Cheng, M.2
Jiang, H.3
Li, J.4
-
5
-
-
84865030317
-
Adaptive object tracking by learning background context
-
IEEE
-
A. Borji, S. Frintrop, D. N. Sihite, and L. Itti. Adaptive object tracking by learning background context. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pages 23-30. IEEE, 2012.
-
(2012)
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
, pp. 23-30
-
-
Borji, A.1
Frintrop, S.2
Sihite, D.N.3
Itti, L.4
-
7
-
-
77749271171
-
Sketch2photo: Internet image montage
-
T. Chen, M.-M. Cheng, P. Tan, A. Shamir, and S.-M. Hu. Sketch2photo: internet image montage. ACM Transactions on Graphics, 28(5):124, 2009.
-
(2009)
ACM Transactions on Graphics
, vol.28
, Issue.5
, pp. 124
-
-
Chen, T.1
Cheng, M.-M.2
Tan, P.3
Shamir, A.4
Hu, S.-M.5
-
8
-
-
84898597694
-
Salientshape: Group saliency in image collections
-
M.-M. Cheng, N. Mitra, X. Huang, and S.-M. Hu. Salientshape: group saliency in image collections. The Visual Computer, 30(4):443-453, 2014.
-
(2014)
The Visual Computer
, vol.30
, Issue.4
, pp. 443-453
-
-
Cheng, M.-M.1
Mitra, N.2
Huang, X.3
Hu, S.-M.4
-
9
-
-
84923094805
-
Global contrast based salient region detection
-
M.-M. Cheng, N. J. Mitra, X. Huang, P. H. S. Torr, and S.-M. Hu. Global contrast based salient region detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37(3):569-582, 2015.
-
(2015)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.37
, Issue.3
, pp. 569-582
-
-
Cheng, M.-M.1
Mitra, N.J.2
Huang, X.3
Torr, P.H.S.4
Hu, S.-M.5
-
11
-
-
26444565569
-
Finding structure in time
-
J. L. Elman. Finding structure in time. Cognitive science, 14(2):179-211, 1990.
-
(1990)
Cognitive Science
, vol.14
, Issue.2
, pp. 179-211
-
-
Elman, J.L.1
-
13
-
-
84938233189
-
Saliency-based object discovery on rgbd data with a late-fusion approach
-
G. Garcia, E. Potapova, T. Werner, M. Zillich, M. Vincze, and S. Frintrop. Saliency-based object discovery on rgbd data with a late-fusion approach. In IEEE International Conference on Robotics and Automation, pages 1866-1873, 2015.
-
(2015)
IEEE International Conference on Robotics and Automation
, pp. 1866-1873
-
-
Garcia, G.1
Potapova, E.2
Werner, T.3
Zillich, M.4
Vincze, M.5
Frintrop, S.6
-
14
-
-
84983208884
-
Draw: A recurrent neural network for image generation
-
K. Gregor, I. Danihelka, A. Graves, D. Rezende, and D. Wierstra. Draw: A recurrent neural network for image generation. In International Conference on Machine Learning. JMLR Workshop and Conference Proceedings, 2015.
-
(2015)
International Conference on Machine Learning. JMLR Workshop and Conference Proceedings
-
-
Gregor, K.1
Danihelka, I.2
Graves, A.3
Rezende, D.4
Wierstra, D.5
-
15
-
-
84978483293
-
-
arXiv preprint arXiv:1512.07108
-
J. Gu, Z. Wang, J. Kuen, L. Ma, A. Shahroudy, B. Shuai, T. Liu, X. Wang, and G. Wang. Recent advances in convolutional neural networks. arXiv preprint arXiv:1512.07108, 2015.
-
(2015)
Recent Advances in Convolutional Neural Networks
-
-
Gu, J.1
Wang, Z.2
Kuen, J.3
Ma, L.4
Shahroudy, A.5
Shuai, B.6
Liu, T.7
Wang, X.8
Wang, G.9
-
16
-
-
84920253681
-
Imagenet autoannotation with segmentation propagation
-
M. Guillaumin, D. Küttel, and V. Ferrari. Imagenet autoannotation with segmentation propagation. International Journal of Computer Vision, 110(3):328-348, 2014.
-
(2014)
International Journal of Computer Vision
, vol.110
, Issue.3
, pp. 328-348
-
-
Guillaumin, M.1
Küttel, D.2
Ferrari, V.3
-
20
-
-
84976894417
-
Batch normalization: Accelerating deep network training by reducing internal covariate shift
-
S. Ioffe and C. Szegedy. Batch normalization: Accelerating deep network training by reducing internal covariate shift. Journal of Machine Learning Research, 2015.
-
(2015)
Journal of Machine Learning Research
-
-
Ioffe, S.1
Szegedy, C.2
-
23
-
-
84898794697
-
Saliency detection via absorbing markov chain
-
B. Jiang, L. Zhang, H. Lu, C. Yang, and M.-H. Yang. Saliency detection via absorbing markov chain. In IEEE International Conference on Computer Vision, ICCV '13, pages 1665-1672, 2013.
-
(2013)
IEEE International Conference on Computer Vision, ICCV '13
, pp. 1665-1672
-
-
Jiang, B.1
Zhang, L.2
Lu, H.3
Yang, C.4
Yang, M.-H.5
-
24
-
-
84887392014
-
Salient object detection: A discriminative regional feature integration approach
-
IEEE
-
H. Jiang, J. Wang, Z. Yuan, Y. Wu, N. Zheng, and S. Li. Salient object detection: A discriminative regional feature integration approach. In IEEE Conference on Computer Vision and Pattern Recognition, pages 2083-2090. IEEE, 2013.
-
(2013)
IEEE Conference on Computer Vision and Pattern Recognition
, pp. 2083-2090
-
-
Jiang, H.1
Wang, J.2
Yuan, Z.3
Wu, Y.4
Zheng, N.5
Li, S.6
-
25
-
-
84948577746
-
Depth-aware salient object detection using anisotropic center-surround difference
-
R. Ju, Y. Liu, T. Ren, L. Ge, and G. Wu. Depth-aware salient object detection using anisotropic center-surround difference. Signal Processing: Image Communication, 2015.
-
(2015)
Signal Processing: Image Communication
-
-
Ju, R.1
Liu, Y.2
Ren, T.3
Ge, L.4
Wu, G.5
-
26
-
-
77953205576
-
Learning to predict where humans look
-
IEEE
-
T. Judd, K. Ehinger, F. Durand, and A. Torralba. Learning to predict where humans look. In IEEE Conference on Computer Vision and Pattern Recognition, pages 2106-2113. IEEE, 2009.
-
(2009)
IEEE Conference on Computer Vision and Pattern Recognition
, pp. 2106-2113
-
-
Judd, T.1
Ehinger, K.2
Durand, F.3
Torralba, A.4
-
28
-
-
84959200568
-
Robust saliency detection via regularized random walks ranking
-
June
-
C. Li, Y. Yuan, W. Cai, Y. Xia, and D. Dagan Feng. Robust saliency detection via regularized random walks ranking. In IEEE Conference on Computer Vision and Pattern Recognition, June 2015.
-
(2015)
IEEE Conference on Computer Vision and Pattern Recognition
-
-
Li, C.1
Yuan, Y.2
Cai, W.3
Xia, Y.4
Dagan Feng, D.5
-
30
-
-
84898822478
-
Saliency detection via dense and sparse reconstruction
-
X. Li, H. Lu, L. Zhang, X. Ruan, and M.-H. Yang. Saliency detection via dense and sparse reconstruction. In IEEE International Conference on Computer Vision, ICCV '13, pages 2976-2983, 2013.
-
(2013)
IEEE International Conference on Computer Vision, ICCV '13
, pp. 2976-2983
-
-
Li, X.1
Lu, H.2
Zhang, L.3
Ruan, X.4
Yang, M.-H.5
-
31
-
-
84946554818
-
Predicting eye fixations using convolutional neural networks
-
N. Liu, J. Han, D. Zhang, S. Wen, and T. Liu. Predicting eye fixations using convolutional neural networks. In IEEE Conference on Computer Vision and Pattern Recognition, pages 362-370, 2015.
-
(2015)
IEEE Conference on Computer Vision and Pattern Recognition
, pp. 362-370
-
-
Liu, N.1
Han, J.2
Zhang, D.3
Wen, S.4
Liu, T.5
-
32
-
-
78650512633
-
Learning to detect a salient object
-
T. Liu, Z. Yuan, J. Sun, J. Wang, N. Zheng, X. Tang, and H.-Y. Shum. Learning to detect a salient object. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(2):353-367, 2011.
-
(2011)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.33
, Issue.2
, pp. 353-367
-
-
Liu, T.1
Yuan, Z.2
Sun, J.3
Wang, J.4
Zheng, N.5
Tang, X.6
Shum, H.-Y.7
-
37
-
-
84906484161
-
Rgbd salient object detection: A benchmark and algorithms
-
H. Peng, B. Li, W. Xiong, W. Hu, and R. Ji. Rgbd salient object detection: a benchmark and algorithms. In European Conference on Computer Vision, pages 92-109, 2014.
-
(2014)
European Conference on Computer Vision
, pp. 92-109
-
-
Peng, H.1
Li, B.2
Xiong, W.3
Hu, W.4
Ji, R.5
-
40
-
-
84900544075
-
Regionbased saliency detection and its application in object recognition
-
Z. Ren, S. Gao, L.-T. Chia, and I. W.-H. Tsang. Regionbased saliency detection and its application in object recognition. IEEE Transactions Circuits and Systems for Video Technology, 24(5):769-779, 2014.
-
(2014)
IEEE Transactions Circuits and Systems for Video Technology
, vol.24
, Issue.5
, pp. 769-779
-
-
Ren, Z.1
Gao, S.2
Chia, L.-T.3
Tsang, I.W.-H.4
-
41
-
-
84986277112
-
Hierarchical image saliency detection on extended cssd
-
J. Shi, Q. Yan, L. Xu, and J. Jia. Hierarchical image saliency detection on extended cssd. IEEE Transactions on Pattern Analysis and Machine Intelligence, PP(99):1-1, 2015.
-
(2015)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.PP
, Issue.99
, pp. 1
-
-
Shi, J.1
Yan, Q.2
Xu, L.3
Jia, J.4
-
43
-
-
84911369162
-
Large-scale optimization of hierarchical features for saliency prediction in natural images
-
IEEE
-
E. Vig, M. Dorr, and D. Cox. Large-scale optimization of hierarchical features for saliency prediction in natural images. In IEEE Conference on Computer Vision and Pattern Recognition, pages 2798-2805. IEEE, 2014.
-
(2014)
IEEE Conference on Computer Vision and Pattern Recognition
, pp. 2798-2805
-
-
Vig, E.1
Dorr, M.2
Cox, D.3
-
45
-
-
84887357058
-
Saliency detection via graph-based manifold ranking
-
IEEE
-
C. Yang, L. Zhang, H. Lu, X. Ruan, and M.-H. Yang. Saliency detection via graph-based manifold ranking. In IEEE Conference on Computer Vision and Pattern Recognition, pages 3166-3173. IEEE, 2013.
-
(2013)
IEEE Conference on Computer Vision and Pattern Recognition
, pp. 3166-3173
-
-
Yang, C.1
Zhang, L.2
Lu, H.3
Ruan, X.4
Yang, M.-H.5
-
48
-
-
58149506125
-
Sun: A Bayesian framework for saliency using natural statistics
-
L. Zhang, M. H. Tong, T. K. Marks, H. Shan, and G.W. Cottrell. Sun: A Bayesian framework for saliency using natural statistics. Journal of vision, 8(7):32, 2008.
-
(2008)
Journal of Vision
, vol.8
, Issue.7
, pp. 32
-
-
Zhang, L.1
Tong, M.H.2
Marks, T.K.3
Shan, H.4
Cottrell, G.W.5
-
49
-
-
84959212183
-
Saliency detection by multi-context deep learning
-
R. Zhao, W. Ouyang, H. Li, and X. Wang. Saliency detection by multi-context deep learning. In IEEE Conference on Computer Vision and Pattern Recognition, pages 1265-1274, 2015.
-
(2015)
IEEE Conference on Computer Vision and Pattern Recognition
, pp. 1265-1274
-
-
Zhao, R.1
Ouyang, W.2
Li, H.3
Wang, X.4
-
50
-
-
84911390996
-
Saliency optimization from robust background detection
-
W. Zhu, S. Liang, Y. Wei, and J. Sun. Saliency optimization from robust background detection. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR '14, pages 2814-2821, 2014.
-
(2014)
IEEE Conference on Computer Vision and Pattern Recognition, CVPR '14
, pp. 2814-2821
-
-
Zhu, W.1
Liang, S.2
Wei, Y.3
Sun, J.4
|