-
1
-
-
2642558848
-
What attributes guide the deployment of visual attention and how do they do it?
-
J. M. Wolfe and T. S. Horowitz, "What attributes guide the deployment of visual attention and how do they do it?," Nat. Rev. Neurosci. 5(6), 495-501 (2004
-
(2004)
Nat. Rev. Neurosci.
, vol.5
, Issue.6
, pp. 495-501
-
-
Wolfe, J.M.1
Horowitz, T.S.2
-
2
-
-
84870220894
-
State-Of-The-Art in visual attention modeling
-
A. Borji and L. Itti, "State-of-the-art in visual attention modeling," IEEE Trans. Pattern Anal. Mach. Intell. 35(1), 185-207 (2013
-
(2013)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.35
, Issue.1
, pp. 185-207
-
-
Borji, A.1
Itti, L.2
-
3
-
-
84866687480
-
Exploiting local and global patch rarities for saliency detection
-
IEEE, Providence
-
A. Borji and L. Itti, "Exploiting local and global patch rarities for saliency detection," in Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 478-485, IEEE, Providence (2012
-
(2012)
Proc. IEEE Conf. Computer Vision and Pattern Recognition
, pp. 478-485
-
-
Borji, A.1
Itti, L.2
-
4
-
-
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 Trans. Pattern Anal. Mach. Intell. 20(11), 1254-1259 (1998
-
(1998)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.20
, Issue.11
, pp. 1254-1259
-
-
Itti, L.1
Koch, C.2
Niebur, E.3
-
5
-
-
84890406335
-
Robust and efficient saliency modeling from image co-occurrence histograms
-
S. Lu, C. Tan, and J. Lim, "Robust and efficient saliency modeling from image co-occurrence histograms," IEEE Trans. Pattern Anal. Mach. Intell. 36(1), 195-201 (2014
-
(2014)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.36
, Issue.1
, pp. 195-201
-
-
Lu, S.1
Tan, C.2
Lim, J.3
-
6
-
-
84856473161
-
Saliency from hierarchical adaptation through decorrelation and variance normalization
-
A. Garcia-Diaz et al., "Saliency from hierarchical adaptation through decorrelation and variance normalization," Image Vision Comput. 30(1), 51-64 (2012
-
(2012)
Image Vision Comput.
, vol.30
, Issue.1
, pp. 51-64
-
-
Garcia-Diaz, A.1
-
7
-
-
84866667038
-
Saliency filters: Contrast based filtering for salient region detection
-
IEEE, Providence
-
F. Perazzi et al., "Saliency filters: contrast based filtering for salient region detection," in Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 733-740, IEEE, Providence (2012
-
(2012)
Proc. IEEE Conf. Computer Vision and Pattern Recognition
, pp. 733-740
-
-
Perazzi, F.1
-
9
-
-
84898823850
-
Salient region detection by UFO: Uniqueness, focusness and objectness
-
IEEE, Sydney
-
P. Jiang et al., "Salient region detection by UFO: uniqueness, focusness and objectness," in Proc. IEEE Int. Conf. Computer Vision, 1976-1983, IEEE, Sydney (2013
-
(2013)
Proc. IEEE Int. Conf. Computer Vision 1976-1983
-
-
Jiang, P.1
-
12
-
-
72949100573
-
A novel multiresolution spatiotemporal saliency detection model and its applications in image and video compression
-
C. Guo and L. Zhang, "A novel multiresolution spatiotemporal saliency detection model and its applications in image and video compression," IEEE Trans. Image Process. 19(1), 185-198 (2010
-
(2010)
IEEE Trans. Image Process.
, vol.19
, Issue.1
, pp. 185-198
-
-
Guo, C.1
Zhang, L.2
-
13
-
-
84874537215
-
Visual saliency based on scale-space analysis in the frequency domain
-
J. Li et al., "Visual saliency based on scale-space analysis in the frequency domain," IEEE Trans. Pattern Anal. Mach. Intell. 35(4), 996-1010 (2013
-
(2013)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.35
, Issue.4
, pp. 996-1010
-
-
Li, J.1
-
14
-
-
81855172211
-
Image signature: Highlighting sparse salient regions
-
X. Hou, J. Harel, and C. Koch, "Image signature: highlighting sparse salient regions," IEEE Trans. Pattern Anal. Mach. Intell. 34(1), 194-201 (2012
-
(2012)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.34
, Issue.1
, pp. 194-201
-
-
Hou, X.1
Harel, J.2
Koch, C.3
-
15
-
-
77953205576
-
Learning to predict where humans look
-
IEEE, Kyoto
-
T. Judd et al., "Learning to predict where humans look," in Proc. IEEE Int. Conf. Computer Vision, pp. 2106-2113, IEEE, Kyoto (2009
-
(2009)
Proc. IEEE Int. Conf. Computer Vision
, pp. 2106-2113
-
-
Judd, T.1
-
16
-
-
84864037603
-
Graph-based visual saliency
-
MIT Press, Vancouver
-
J. Harel, C. Koch, and P. Perona, "Graph-based visual saliency," in Proc. Advances in Neural Information Processing Systems, pp. 545-552, MIT Press, Vancouver (2006
-
(2006)
Proc. Advances in Neural Information Processing Systems
, pp. 545-552
-
-
Harel, J.1
Koch, C.2
Perona, P.3
-
17
-
-
0034133513
-
Distance-based outliers: Algorithms and applications
-
E. M. Knorr, R. T. Ng, and V. Tucakov, "Distance-based outliers: algorithms and applications," VLDB J. 8(3-4), 237-253 (2000
-
(2000)
VLDB J.
, vol.8
, Issue.3-4
, pp. 237-253
-
-
Knorr, E.M.1
Ng, R.T.2
Tucakov, V.3
-
19
-
-
79952814300
-
Predicting eye fixations on complex visual stimuli using local symmetry
-
G. Kootstra, B. de Boer, and L. R. B. Schomaker, "Predicting eye fixations on complex visual stimuli using local symmetry," Cognit. Comput. 3(1), 223-240 (2011
-
(2011)
Cognit. Comput.
, vol.3
, Issue.1
, pp. 223-240
-
-
Kootstra, G.1
De Boer, B.2
Schomaker, L.R.B.3
-
20
-
-
33749208103
-
Identification of outliers
-
Chapman and Hall
-
D. M. Hawkins, Identification of Outliers, Chapman and Hall, Landon (1980
-
(1980)
Landon
-
-
Hawkins, D.M.1
-
21
-
-
34547910075
-
A Boolean map theory of visual attention
-
L. Huang and H. Pashler, "A Boolean map theory of visual attention," Psychol. Rev. 114(3), 599-631 (2007).
-
(2007)
Psychol. Rev.
, vol.114
, Issue.3
, pp. 599-631
-
-
Huang, L.1
Pashler, H.2
|