-
1
-
-
70450186191
-
Frequency-tuned salient region detection
-
IEEE
-
R. Achanta, S. Hemami, F. Estrada, and S. Susstrunk. Frequency-tuned salient region detection. In Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on, pages 1597-1604. IEEE, 2009
-
(2009)
Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on
, pp. 1597-1604
-
-
Achanta, R.1
Hemami, S.2
Estrada, F.3
Susstrunk, S.4
-
2
-
-
79955664556
-
Slic superpixels
-
R. Achanta, A. Shaji, K. Smith, A. Lucchi, P. Fua, and S. Süsstrunk. Slic superpixels. Technical report, 2010
-
(2010)
Technical Report
-
-
Achanta, R.1
Shaji, A.2
Smith, K.3
Lucchi, A.4
Fua, P.5
Süsstrunk, S.6
-
3
-
-
77956004607
-
What is an object
-
IEEE
-
B. Alexe, T. Deselaers, and V. Ferrari. What is an object? In Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on, pages 73-80. IEEE, 2010
-
(2010)
Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on
, pp. 73-80
-
-
Alexe, B.1
Deselaers, T.2
Ferrari, V.3
-
5
-
-
84867866405
-
Salient object detection: A benchmark
-
Springer
-
A. Borji, D. N. Sihite, and L. Itti. Salient object detection: A benchmark. In Computer Vision-ECCV 2012, pages 414-429. Springer, 2012
-
(2012)
Computer Vision-ECCV
, vol.2012
, pp. 414-429
-
-
Borji, A.1
Sihite, D.N.2
Itti, L.3
-
6
-
-
84901477900
-
Salient object detection and segmentation
-
M.-M. Cheng, N. J. Mitra, X. Huang, P. H. Torr, and S.-M. Hu. Salient object detection and segmentation. Image, 2(3):9, 2011
-
(2011)
Image
, vol.2
, Issue.3
, pp. 9
-
-
Cheng, M.-M.1
Mitra, N.J.2
Huang, X.3
Torr, P.H.4
Hu, S.-M.5
-
7
-
-
84898797836
-
Efficient salient region detection with soft image abstraction
-
IEEE
-
M.-M. Cheng, J. Warrell, W.-Y. Lin, S. Zheng, V. Vineet, and N. Crook. Efficient salient region detection with soft image abstraction. In Computer Vision (ICCV), 2013 IEEE International Conference on, pages 1529-1536. IEEE, 2013
-
(2013)
Computer Vision (ICCV), 2013 IEEE International Conference on
, pp. 1529-1536
-
-
Cheng, M.-M.1
Warrell, J.2
Lin, W.-Y.3
Zheng, S.4
Vineet, V.5
Crook, N.6
-
8
-
-
80052948224
-
Global contrast based salient region detection
-
IEEE
-
M.-M. Cheng, G.-X. Zhang, N. J. Mitra, X. Huang, and S.-M. Hu. Global contrast based salient region detection. In Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on, pages 409-416. IEEE, 2011
-
(2011)
Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on
, pp. 409-416
-
-
Cheng, M.-M.1
Zhang, G.-X.2
Mitra, N.J.3
Huang, X.4
Hu, S.-M.5
-
10
-
-
0034712032
-
Room temperature magnetic quantum cellular automata
-
R. Cowburn and M. Welland. Room temperature magnetic quantum cellular automata. Science, 287(5457):1466-1468, 2000
-
(2000)
Science
, vol.287
, Issue.5457
, pp. 1466-1468
-
-
Cowburn, R.1
Welland, M.2
-
11
-
-
80052908132
-
Importance filtering for image retargeting
-
IEEE
-
Y. Ding, J. Xiao, and J. Yu. Importance filtering for image retargeting. In Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on, pages 89-96. IEEE, 2011
-
(2011)
Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on
, pp. 89-96
-
-
Ding, Y.1
Xiao, J.2
Yu, J.3
-
12
-
-
77951298115
-
The pascal visual object classes (voc) challenge
-
M. Everingham, L. Van Gool, C. K. Williams, J. Winn, and A. Zisserman. The pascal visual object classes (voc) challenge. International journal of computer vision, 88(2):303-338, 2010
-
(2010)
International Journal of Computer Vision
, vol.88
, Issue.2
, pp. 303-338
-
-
Everingham, M.1
Van Gool, L.2
Williams, C.K.3
Winn, J.4
Zisserman, A.5
-
13
-
-
77956008283
-
Context-aware saliency detection
-
S. Goferman and A. L Tal. context-aware saliency detection. Computer, 2010
-
(2010)
Computer
-
-
Goferman, S.1
Tal, A.L.2
-
14
-
-
84865331032
-
Context-aware saliency detection
-
S. Goferman, L. Zelnik-Manor, and A. Tal. Context-aware saliency detection. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 34(10):1915-1926, 2012
-
(2012)
Pattern Analysis and Machine Intelligence, IEEE Transactions on
, vol.34
, Issue.10
, pp. 1915-1926
-
-
Goferman, S.1
Zelnik-Manor, L.2
Tal, A.3
-
16
-
-
0032204063
-
A model of saliency-based visual attention for rapid scene analysis
-
L. Itti, C. Koch, and E. Niebur. A model of saliency-based visual attention for rapid scene analysis. IEEE Transactions on pattern analysis and machine intelligence, 20(11):1254-1259, 1998
-
(1998)
IEEE Transactions on pattern analysis and machine intelligence
, vol.20
, Issue.11
, pp. 1254-1259
-
-
Itti, L.1
Koch, C.2
Niebur, E.3
-
17
-
-
84898794697
-
Saliency detection via absorbing markov chain
-
IEEE
-
B. Jiang, L. Zhang, H. Lu, C. Yang, and M.-H. Yang. Saliency detection via absorbing markov chain. In Computer Vision (ICCV), 2013 IEEE International Conference on, pages 1665-1672. IEEE, 2013
-
(2013)
Computer Vision (ICCV), 2013 IEEE International Conference on
, pp. 1665-1672
-
-
Jiang, B.1
Zhang, L.2
Lu, H.3
Yang, C.4
Yang, M.-H.5
-
18
-
-
84898491541
-
Automatic salient object segmentation based on context and shape prior
-
H. Jiang, J. Wang, Z. Yuan, T. Liu, N. Zheng, and S. Li. Automatic salient object segmentation based on context and shape prior. In BMVC, volume 3, page 7, 2011
-
(2011)
BMVC
, vol.3
, pp. 7
-
-
Jiang, H.1
Wang, J.2
Yuan, Z.3
Liu, T.4
Zheng, N.5
Li, S.6
-
19
-
-
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 Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on, pages 2083-2090. IEEE, 2013
-
(2013)
Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on
, pp. 2083-2090
-
-
Jiang, H.1
Wang, J.2
Yuan, Z.3
Wu, Y.4
Zheng, N.5
Li, S.6
-
20
-
-
84898823850
-
Salient region detection by ufo: Uniqueness, focusness and objectness
-
IEEE
-
P. Jiang, H. Ling, J. Yu, and J. Peng. Salient region detection by ufo: Uniqueness, focusness and objectness. In Computer Vision (ICCV), 2013 IEEE International Conference on, pages 1976-1983. IEEE, 2013
-
(2013)
Computer Vision (ICCV), 2013 IEEE International Conference on
, pp. 1976-1983
-
-
Jiang, P.1
Ling, H.2
Yu, J.3
Peng, J.4
-
23
-
-
84898822478
-
Saliency detection via dense and sparse reconstruction
-
IEEE
-
X. Li, H. Lu, L. Zhang, X. Ruan, and M.-H. Yang. Saliency detection via dense and sparse reconstruction. In Computer Vision (ICCV), 2013 IEEE International Conference on, pages 2976-2983. IEEE, 2013
-
(2013)
Computer Vision (ICCV), 2013 IEEE International Conference on
, pp. 2976-2983
-
-
Li, X.1
Lu, H.2
Zhang, L.3
Ruan, X.4
Yang, M.-H.5
-
24
-
-
84911400874
-
The secrets of salient object segmentation
-
Y. Li, X. Hou, C. Koch, J. Rehg, and A. Yuille. The secrets of salient object segmentation. CVPR, 2014
-
(2014)
CVPR
-
-
Li, Y.1
Hou, X.2
Koch, C.3
Rehg, J.4
Yuille, A.5
-
25
-
-
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. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 33(2):353-367, 2011
-
(2011)
Pattern Analysis and Machine Intelligence, IEEE Transactions on
, 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
-
27
-
-
77953210642
-
A framework for visual saliency detection with applications to image thumbnailing
-
IEEE
-
L. Marchesotti, C. Cifarelli, and G. Csurka. A framework for visual saliency detection with applications to image thumbnailing. In Computer Vision, 2009 IEEE 12th International Conference on, pages 2232-2239. IEEE, 2009
-
(2009)
Computer Vision, 2009 IEEE 12th International Conference on
, pp. 2232-2239
-
-
Marchesotti, L.1
Cifarelli, C.2
Csurka, G.3
-
28
-
-
0042697099
-
Stochastic cellular automata modeling of urban land use dynamics: Empirical development and estimation
-
C. Maria de Almeida, M. Batty, A. M. Vieira Monteiro, G. Camara, B. S. Soares-Filho, G. C. Cerqueira, and C. L. Pennachin. Stochastic cellular automata modeling of urban land use dynamics: empirical development and estimation. Computers, Environment and Urban Systems, 27(5):481-509, 2003
-
(2003)
Computers, Environment and Urban Systems
, vol.27
, Issue.5
, pp. 481-509
-
-
Almeida De C.Maria1
Batty, M.2
Vieira Monteiro, A.M.3
Camara, G.4
Soares-Filho, B.S.5
Cerqueira, G.C.6
Pennachin, C.L.7
-
29
-
-
44949097186
-
Continuous opinions and discrete actions in opinion dynamics problems
-
A. C. Martins. Continuous opinions and discrete actions in opinion dynamics problems. International Journal of Modern Physics C, 19(04):617-624, 2008
-
(2008)
International Journal of Modern Physics C
, vol.19
, Issue.4
, pp. 617-624
-
-
Martins, A.C.1
-
31
-
-
84899013108
-
On spectral clustering: Analysis and an algorithm
-
A. Y. Ng, M. I. Jordan, Y. Weiss, et al. On spectral clustering: Analysis and an algorithm. Advances in neural information processing systems, 2:849-856, 2002
-
(2002)
Advances in Neural Information Processing Systems
, vol.2
, pp. 849-856
-
-
Ng, A.Y.1
Jordan, M.I.2
Weiss, Y.3
-
32
-
-
49349108623
-
A threshold selection method from gray-level histograms
-
N. Otsu. A threshold selection method from gray-level histograms. Automatica, 11(285-296):23-27, 1975
-
(1975)
Automatica
, vol.11
, Issue.285-296
, pp. 23-27
-
-
Otsu, N.1
-
33
-
-
84866667038
-
Saliency filters: Contrast based filtering for salient region detection
-
IEEE
-
F. Perazzi, P. Krahenbuhl, Y. Pritch, and A. Hornung. Saliency filters: Contrast based filtering for salient region detection. In Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, pages 733-740. IEEE, 2012
-
(2012)
Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on
, pp. 733-740
-
-
Perazzi, F.1
Krahenbuhl, P.2
Pritch, Y.3
Hornung, A.4
-
34
-
-
78149316189
-
Segmenting salient objects from images and videos
-
Springer
-
E. Rahtu, J. Kannala, M. Salo, and J. Heikkilä. Segmenting salient objects from images and videos. In Computer Vision-ECCV 2010, pages 366-379. Springer, 2010
-
(2010)
Computer Vision-ECCV
, vol.2010
, pp. 366-379
-
-
Rahtu, E.1
Kannala, J.2
Salo, M.3
Heikkilä, J.4
-
35
-
-
84877632511
-
Grabcut: Interactive foreground extraction using iterated graph cuts
-
ACM
-
C. Rother, V. Kolmogorov, and A. Blake. Grabcut: Interactive foreground extraction using iterated graph cuts. In ACM Transactions on Graphics (TOG), volume 23, pages 309-314. ACM, 2004
-
(2004)
ACM Transactions on Graphics (TOG)
, vol.23
, pp. 309-314
-
-
Rother, C.1
Kolmogorov, V.2
Blake, A.3
-
37
-
-
33947236748
-
Rapid biologically-inspired scene classification using features shared with visual attention
-
C. Siagian and L. Itti. Rapid biologically-inspired scene classification using features shared with visual attention. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 29(2):300-312, 2007
-
(2007)
Pattern Analysis and Machine Intelligence, IEEE Transactions on
, vol.29
, Issue.2
, pp. 300-312
-
-
Siagian, C.1
Itti, L.2
-
38
-
-
0015360148
-
Real-time language recognition by onedimensional cellular automata
-
A. R. Smith III. Real-time language recognition by onedimensional cellular automata. Journal of Computer and System Sciences, 6(3):233-253, 1972
-
(1972)
Journal of Computer and System Sciences
, vol.6
, Issue.3
, pp. 233-253
-
-
Smith, A.R.1
-
40
-
-
84875822755
-
Saliency detection based on integration of boundary and soft-segmentation
-
J. Sun, H. Lu, and S. Li. Saliency detection based on integration of boundary and soft-segmentation. In ICIP, 2012
-
(2012)
ICIP
-
-
Sun, J.1
Lu, H.2
Li, S.3
-
41
-
-
84931033983
-
Salient object detection via global and local cues
-
N. Tong, H. Lu, Y. Zhang, and X. Ruan. Salient object detection via global and local cues. Pattern Recognition, doi:10. 1016/j. patcog. 2014. 12. 005, 2014
-
(2014)
Pattern Recognition
-
-
Tong, N.1
Lu, H.2
Zhang, Y.3
Ruan, X.4
-
43
-
-
84863052350
-
Automatic salient object extraction with contextual cue
-
IEEE
-
L. Wang, J. Xue, N. Zheng, and G. Hua. Automatic salient object extraction with contextual cue. In Computer Vision (ICCV), 2011 IEEE International Conference on, pages 105-112. IEEE, 2011
-
(2011)
Computer Vision (ICCV), 2011 IEEE International Conference on
, pp. 105-112
-
-
Wang, L.1
Xue, J.2
Zheng, N.3
Hua, G.4
-
44
-
-
84867849070
-
Geodesic saliency using background priors
-
Springer
-
Y. Wei, F. Wen,W. Zhu, and J. Sun. Geodesic saliency using background priors. In Computer Vision-ECCV 2012, pages 29-42. Springer, 2012
-
(2012)
Computer Vision-ECCV
, vol.2012
, pp. 29-42
-
-
Wei, Y.1
Wen, F.2
Zhu, W.3
Sun, J.4
-
45
-
-
35949018560
-
Statistical mechanics of cellular automata
-
S. Wolfram. Statistical mechanics of cellular automata. Reviews of modern physics, 55(3):601, 1983
-
(1983)
Reviews of Modern Physics
, vol.55
, Issue.3
, pp. 601
-
-
Wolfram, S.1
-
47
-
-
84889245941
-
Bayesian saliency via low and mid level cues
-
Y. Xie, H. Lu, and M.-H. Yang. Bayesian saliency via low and mid level cues. Image Processing, IEEE Transactions on, 22(5):1689-1698, 2013
-
(2013)
Image Processing, IEEE Transactions on
, vol.22
, Issue.5
, pp. 1689-1698
-
-
Xie, Y.1
Lu, H.2
Yang, M.-H.3
-
48
-
-
84887322898
-
Hierarchical saliency detection
-
IEEE
-
Q. Yan, L. Xu, J. Shi, and J. Jia. Hierarchical saliency detection. In Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on, pages 1155-1162. IEEE, 2013
-
(2013)
Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on
, pp. 1155-1162
-
-
Yan, Q.1
Xu, L.2
Shi, J.3
Jia, J.4
-
49
-
-
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 Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on, pages 3166-3173. IEEE, 2013
-
(2013)
Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on
, pp. 3166-3173
-
-
Yang, C.1
Zhang, L.2
Lu, H.3
Ruan, X.4
Yang, M.-H.5
-
51
-
-
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
-
52
-
-
84911390996
-
Saliency optimization from robust background detection
-
IEEE
-
W. Zhu, S. Liang, Y. Wei, and J. Sun. Saliency optimization from robust background detection. In Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on, pages 2814-2821. IEEE, 2014.
-
(2014)
Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on
, pp. 2814-2821
-
-
Zhu, W.1
Liang, S.2
Wei, Y.3
Sun, J.4
|