-
1
-
-
84898486782
-
Detecting meaning in RSVP at 13 ms per picture
-
Feb.
-
E. C. Potter, B. Wyble, C. E. Hagmann, E. S. McCourt, "Detecting meaning in RSVP at 13 ms per picture," Attention, Perception, Psychophys., vol. 76, no. 2, pp. 270-279, Feb. 2014.
-
(2014)
Attention, Perception, Psychophys.
, vol.76
, Issue.2
, pp. 270-279
-
-
Potter, E.C.1
Wyble, B.2
Hagmann, C.E.3
McCourt, E.S.4
-
2
-
-
84937554438
-
Semantics-based image retrieval by region saliency
-
London, U.K Jul.
-
W. Wang, Y. Song, A. Zhang, "Semantics-based image retrieval by region saliency," in Proc. Int. Conf. Content-Based Image Video Retr., London, U.K., Jul. 2002, pp. 29-37.
-
(2002)
Proc. Int. Conf. Content-Based Image Video Retr.
, pp. 29-37
-
-
Wang, W.1
Song, Y.2
Zhang, A.3
-
3
-
-
84878475233
-
Effective transfer tagging from image to video
-
May
-
Y. Yang, Y. Yang, H. T. Shen, "Effective transfer tagging from image to video," ACM Trans. Multimedia Comput., Commun., Appl., vol. 9, no. 2, p. 14, May 2013.
-
(2013)
ACM Trans. Multimedia Comput., Commun., Appl.
, vol.9
, Issue.2
, pp. 14
-
-
Yang, Y.1
Yang, Y.2
Shen, H.T.3
-
4
-
-
77957941533
-
Saliency cuts: An automatic approach to object segmentation
-
Tampa, FL, USA, Dec.
-
F. Yu, J. Cheng, Z. Li, H. Lu, "Saliency cuts: An automatic approach to object segmentation," in Proc. 19th Int. Conf. Pattern Recognit., Tampa, FL, USA, Dec. 2008, pp. 1-4.
-
(2008)
Proc. 19th Int. Conf. Pattern Recognit.
, pp. 1-4
-
-
Yu, F.1
Cheng, J.2
Li, Z.3
Lu, H.4
-
5
-
-
80052948224
-
Global contrast based salient region detection
-
Colorado Springs, CO, USA, Jun.
-
M.-M. Cheng, G.-X. Zhang, N. J. Mitra, X. Huang, S.-M. Hu, "Global contrast based salient region detection," in Proc. 24th IEEE Conf. Comput. Vis. Pattern Recognit., Colorado Springs, CO, USA, Jun. 2011, pp. 409-416.
-
(2011)
Proc. 24th IEEE Conf. Comput. Vis. Pattern Recognit.
, pp. 409-416
-
-
Cheng, M.-M.1
Zhang, G.-X.2
Mitra, N.J.3
Huang, X.4
Hu, S.-M.5
-
6
-
-
44349149416
-
Fast-learning adaptive-subspace self-organizing map: An application to saliency-based invariant image feature construction
-
May
-
H. Zheng, G. Lefebvre, C. Laurent, "Fast-learning adaptive-subspace self-organizing map: An application to saliency-based invariant image feature construction," IEEE Trans. Neural Netw., vol. 19, no. 5, pp. 746-757, May 2008.
-
(2008)
IEEE Trans. Neural Netw.
, vol.19
, Issue.5
, pp. 746-757
-
-
Zheng, H.1
Lefebvre, G.2
Laurent, C.3
-
7
-
-
84866677469
-
Discriminative spatial saliency for image classification
-
Providence, RI, USA, Jun.
-
G. Sharma, F. Jurie, C. Schmid, "Discriminative spatial saliency for image classification," in Proc. 24th IEEE Conf. Comput. Vis. Pattern Recognit., Providence, RI, USA, Jun. 2012, pp. 3506-3513.
-
(2012)
Proc. 24th IEEE Conf. Comput. Vis. Pattern Recognit.
, pp. 3506-3513
-
-
Sharma, G.1
Jurie, F.2
Schmid, C.3
-
8
-
-
84893846216
-
Learning and recognition of on-premise signs from weakly labeled street view images
-
Mar.
-
T.-H. Tsai, W.-H. Cheng, C.-W. You, M.-C. Hu, A. W. Tsui, H.-Y. Chi, "Learning and recognition of on-premise signs from weakly labeled street view images," IEEE Trans. Image Process., vol. 23, no. 3, pp. 1047-1059, Mar. 2014.
-
(2014)
IEEE Trans. Image Process.
, vol.23
, Issue.3
, pp. 1047-1059
-
-
Tsai, T.-H.1
Cheng, W.-H.2
You, C.-W.3
Hu, M.-C.4
Tsui, A.W.5
Chi, H.-Y.6
-
9
-
-
84907158054
-
Object recognition with hierarchical discriminant saliency networks
-
Sep.
-
S. Han and N. Vasconcelos, "Object recognition with hierarchical discriminant saliency networks," Frontiers Comput. Neurosci., vol. 8, p. 109, Sep. 2014.
-
(2014)
Frontiers Comput. Neurosci.
, vol.8
, pp. 109
-
-
Han, S.1
Vasconcelos, N.2
-
10
-
-
50649108122
-
Bottom-up saliency is a discriminant process
-
Rio de Janeiro, Brazil, Oct.
-
D. Gao and N. Vasconcelos, "Bottom-up saliency is a discriminant process," in Proc. 11th IEEE Int. Conf. Comput. Vis., Rio de Janeiro, Brazil, Oct. 2007, pp. 1-6.
-
(2007)
Proc. 11th IEEE Int. Conf. Comput. Vis.
, pp. 1-6
-
-
Gao, D.1
Vasconcelos, N.2
-
11
-
-
84864039864
-
Saliency based on information maximization
-
Montreal, QC, Canada, Dec.
-
N. D. B. Bruce and J. K. Tsotsos, "Saliency based on information maximization," in Proc. 19th Annu. Conf. Neural Inf. Process. Syst., Montreal, QC, Canada, Dec. 2005, pp. 155-162.
-
(2005)
Proc. 19th Annu. Conf. Neural Inf. Process. Syst.
, pp. 155-162
-
-
Bruce, N.D.B.1
Tsotsos, J.K.2
-
12
-
-
26044466214
-
A visual attention based region-of-interest determination framework for video sequences
-
W.-H. Cheng, W.-T. Chu, J.-L. Wu, "A visual attention based region-of-interest determination framework for video sequences," IEICE Trans. Inf. Syst., vol. E88-D, no. 7, pp. 1578-1586, 2005.
-
(2005)
IEICE Trans. Inf. Syst.
, Issue.7 E88-D
, pp. 1578-1586
-
-
Cheng, W.-H.1
Chu, W.-T.2
Wu, J.-L.3
-
13
-
-
84863359424
-
Dynamic visual attention: Searching for coding length increments
-
Vancouver, BC, Canada, Dec.
-
X. Hou and L. Zhang, "Dynamic visual attention: Searching for coding length increments," in Proc. 22nd Annu. Conf. Neural Inf. Process. Syst., Vancouver, BC, Canada, Dec. 2008, pp. 681-688.
-
(2008)
Proc. 22nd Annu. Conf. Neural Inf. Process. Syst.
, pp. 681-688
-
-
Hou, X.1
Zhang, L.2
-
14
-
-
0032204063
-
A model of saliency-based visual attention for rapid scene analysis
-
Nov.
-
L. Itti, C. Koch, E. Niebur, "A model of saliency-based visual attention for rapid scene analysis," IEEE Trans. Pattern Anal. Mach. Intell., vol. 20, no. 11, pp. 1254-1259, Nov. 1998.
-
(1998)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.20
, Issue.11
, pp. 1254-1259
-
-
Itti, L.1
Koch, C.2
Niebur, E.3
-
15
-
-
85161993174
-
The discriminant centersurround hypothesis for bottom-up saliency
-
Vancouver, BC, Canada, Dec.
-
D. Gao, V. Mahadevan, N. Vasconcelos, "The discriminant centersurround hypothesis for bottom-up saliency," in Proc. 22nd Annu. Conf. Neural Inf. Process. Syst., Vancouver, BC, Canada, Dec. 2008, pp. 497-504.
-
(2008)
Proc. 22nd Annu. Conf. Neural Inf. Process. Syst.
, pp. 497-504
-
-
Gao, D.1
Mahadevan, V.2
Vasconcelos, N.3
-
16
-
-
33846321817
-
Video adaptation for small display based on content recomposition
-
Jan.
-
W.-H. Cheng, C.-W. Wang, J.-L. Wu, "Video adaptation for small display based on content recomposition," IEEE Trans. Circuits Syst. Video Technol., vol. 17, no. 1, pp. 43-58, Jan. 2007.
-
(2007)
IEEE Trans. Circuits Syst. Video Technol.
, vol.17
, Issue.1
, pp. 43-58
-
-
Cheng, W.-H.1
Wang, C.-W.2
Wu, J.-L.3
-
17
-
-
77949556856
-
Saliency of color image derivatives: A comparison between computational models and human perception
-
E. Vazquez, T. Gevers, M. Lucassen, J. van de Weijer, R. Baldrich, "Saliency of color image derivatives: A comparison between computational models and human perception," J. Opt. Soc. Amer. A, vol. 27, no. 3, pp. 613-621, 2010.
-
(2010)
J. Opt. Soc. Amer. A
, vol.27
, Issue.3
, pp. 613-621
-
-
Vazquez, E.1
Gevers, T.2
Lucassen, M.3
Van De Weijer, J.4
Baldrich, R.5
-
18
-
-
79957511932
-
Fast and efficient saliency detection using sparse sampling and kernel density estimation
-
Ystad, Sweden, May
-
H. R. Tavakoli, E. Rahtu, J. Heikkilä, "Fast and efficient saliency detection using sparse sampling and kernel density estimation," in Proc. 17th Scandin. Conf. Image Anal., Ystad, Sweden, May 2011, pp. 666-675.
-
(2011)
Proc. 17th Scandin. Conf. Image Anal.
, pp. 666-675
-
-
Tavakoli, H.R.1
Rahtu, E.2
Heikkilä, J.3
-
19
-
-
84878384522
-
Visual saliency estimation by nonlinearly integrating features using region covariances
-
Mar.
-
E. Erdem and A. Erdem, "Visual saliency estimation by nonlinearly integrating features using region covariances," J. Vis., vol. 13, no. 4, pp. 1-20, Mar. 2013.
-
(2013)
J. Vis.
, vol.13
, Issue.4
, pp. 1-20
-
-
Erdem, E.1
Erdem, A.2
-
20
-
-
35148814949
-
Saliency detection: A spectral residual approach
-
Minneapolis, MN, USA, Jun.
-
X. Hou and L. Zhang, "Saliency detection: A spectral residual approach," in Proc. 20th IEEE Conf. Comput. Vis. Pattern Recognit., Minneapolis, MN, USA, Jun. 2007, pp. 1-8.
-
(2007)
Proc. 20th IEEE Conf. Comput. Vis. Pattern Recognit.
, pp. 1-8
-
-
Hou, X.1
Zhang, L.2
-
21
-
-
70450186191
-
Frequency-tuned salient region detection
-
Miami, FL, USA, Jun.
-
R. Achanta, S. Hemami, F. Estrada, S. Susstrunk, "Frequency-tuned salient region detection," in Proc. 22nd IEEE Conf. Comput. Vis. Pattern Recognit., Miami, FL, USA, Jun. 2009, pp. 1597-1604.
-
(2009)
Proc. 22nd IEEE Conf. Comput. Vis. Pattern Recognit.
, pp. 1597-1604
-
-
Achanta, R.1
Hemami, S.2
Estrada, F.3
Susstrunk, S.4
-
22
-
-
84890406335
-
Robust and efficient saliency modeling from image co-occurrence histograms
-
Jan.
-
S. Lu, C. Tan, J.-H. Lim, "Robust and efficient saliency modeling from image co-occurrence histograms," IEEE Trans. Pattern Anal. Mach. Intell., vol. 36, no. 1, pp. 195-201, Jan. 2014.
-
(2014)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.36
, Issue.1
, pp. 195-201
-
-
Lu, S.1
Tan, C.2
Lim, J.-H.3
-
23
-
-
84866667038
-
Saliency filters: Contrast based filtering for salient region detection
-
Providence, RI, USA, Jun.
-
F. Perazzi, P. Krähenbühl, Y. Pritch, A. Hornung, "Saliency filters: Contrast based filtering for salient region detection," in Proc. 25th IEEE Conf. Comput. Vis. Pattern Recognit., Providence, RI, USA, Jun. 2012, pp. 733-740.
-
(2012)
Proc. 25th IEEE Conf. Comput. Vis. Pattern Recognit.
, pp. 733-740
-
-
Perazzi, F.1
Krähenbühl, P.2
Pritch, Y.3
Hornung, A.4
-
24
-
-
84866672748
-
A unified approach to salient object detection via low rank matrix recovery
-
Providence, RI, USA, Jun.
-
X. Shen and Y. Wu, "A unified approach to salient object detection via low rank matrix recovery," in Proc. 25th IEEE Conf. Comput. Vis. Pattern Recognit., Providence, RI, USA, Jun. 2012, pp. 853-860.
-
(2012)
Proc. 25th IEEE Conf. Comput. Vis. Pattern Recognit.
, pp. 853-860
-
-
Shen, X.1
Wu, Y.2
-
25
-
-
84867849070
-
Geodesic saliency using background priors
-
Florence, Italy, Oct.
-
Y. Wei, F. Wen, W. Zhu, J. Sun, "Geodesic saliency using background priors," in Proc. 12th Eur. Conf. Comput. Vis., Florence, Italy, Oct. 2012, pp. 29-42.
-
(2012)
Proc. 12th Eur. Conf. Comput. Vis.
, pp. 29-42
-
-
Wei, Y.1
Wen, F.2
Zhu, W.3
Sun, J.4
-
26
-
-
58149506125
-
SUN: A Bayesian framework for saliency using natural statistics
-
Dec.
-
L. Zhang, M. H. Tong, T. K. Marks, H. Shan, G. W. Cottrell, "SUN: A Bayesian framework for saliency using natural statistics," J. Vis., vol. 8, no. 7, p. 32, Dec. 2008.
-
(2008)
J. Vis.
, vol.8
, Issue.7
, pp. 32
-
-
Zhang, L.1
Tong, M.H.2
Marks, T.K.3
Shan, H.4
Cottrell, G.W.5
-
27
-
-
84887369642
-
Statistical textural distinctiveness for salient region detection in natural images
-
Portland, OR, USA, Jun.
-
C. Scharfenberger, A. Wong, K. Fergani, D. A. Clausi, J. S. Zelek, "Statistical textural distinctiveness for salient region detection in natural images," in Proc. 26th IEEE Conf. Comput. Vis. Pattern Recognit., Portland, OR, USA, Jun. 2013, pp. 979-986.
-
(2013)
Proc. 26th IEEE Conf. Comput. Vis. Pattern Recognit.
, pp. 979-986
-
-
Scharfenberger, C.1
Wong, A.2
Fergani, K.3
Clausi, D.A.4
Zelek, J.S.5
-
28
-
-
84911390996
-
Saliency optimization from robust background detection
-
Columbus, OH, USA, Jun.
-
W. Zhu, S. Liang, Y. Wei, J. Sun, "Saliency optimization from robust background detection," in Proc. 27th IEEE Conf. Comput. Vis. Pattern Recognit., Columbus, OH, USA, Jun. 2014, pp. 2814-2821.
-
(2014)
Proc. 27th IEEE Conf. Comput. Vis. Pattern Recognit.
, pp. 2814-2821
-
-
Zhu, W.1
Liang, S.2
Wei, Y.3
Sun, J.4
-
29
-
-
84890999478
-
Interpolation-tuned salient region detection
-
Y. Liu, X. Li, L. Wang, Y. Niu, "Interpolation-tuned salient region detection," Sci. China Inf. Sci., vol. 57, no. 1, pp. 0121041-0121049, 2014.
-
(2014)
Sci. China Inf. Sci.
, vol.57
, Issue.1
, pp. 0121041-0121049
-
-
Liu, Y.1
Li, X.2
Wang, L.3
Niu, Y.4
-
30
-
-
84876950345
-
Scale-invariant amplitude spectrum modulation for visual saliency detection
-
Aug.
-
D. Chen and H. Chu, "Scale-invariant amplitude spectrum modulation for visual saliency detection," IEEE Trans. Neural Netw. Learn. Syst., vol. 23, no. 8, pp. 1206-1214, Aug. 2012.
-
(2012)
IEEE Trans. Neural Netw. Learn. Syst.
, vol.23
, Issue.8
, pp. 1206-1214
-
-
Chen, D.1
Chu, H.2
-
31
-
-
84865331032
-
Context-aware saliency detection
-
Oct.
-
S. Goferman, L. Zelnik-Manor, A. Tal, "Context-aware saliency detection," IEEE Trans. Pattern Anal. Mach. Intell., vol. 34, no. 10, pp. 1915-1926, Oct. 2012.
-
(2012)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.34
, Issue.10
, pp. 1915-1926
-
-
Goferman, S.1
Zelnik-Manor, L.2
Tal, A.3
-
32
-
-
84875275420
-
Learning saliency-based visual attention: A review
-
Jun.
-
Q. Zhao and C. Koch, "Learning saliency-based visual attention: A review," Signal Process., vol. 93, no. 6, pp. 1401-1407, Jun. 2013.
-
(2013)
Signal Process.
, vol.93
, Issue.6
, pp. 1401-1407
-
-
Zhao, Q.1
Koch, C.2
-
33
-
-
84886598638
-
Saliency detection by multipleinstance learning
-
Apr.
-
Q. Wang, Y. Yuan, P. Yan, X. Li, "Saliency detection by multipleinstance learning," IEEE Trans. Cybern., vol. 43, no. 2, pp. 660-672, Apr. 2013.
-
(2013)
IEEE Trans. Cybern.
, vol.43
, Issue.2
, pp. 660-672
-
-
Wang, Q.1
Yuan, Y.2
Yan, P.3
Li, X.4
-
34
-
-
84920929329
-
Spatial-aware object-level saliency prediction by learning graphlet hierarchies
-
Feb.
-
L. Zhang, Y. Xia, R. Ji, X. Li, "Spatial-aware object-level saliency prediction by learning graphlet hierarchies," IEEE Trans. Ind. Electron, vol. 62, no. 2, pp. 1301-1308, Feb. 2015.
-
(2015)
IEEE Trans. Ind. Electron
, vol.62
, Issue.2
, pp. 1301-1308
-
-
Zhang, L.1
Xia, Y.2
Ji, R.3
Li, X.4
-
35
-
-
84902279254
-
Weakly-supervised cross-domain dictionary learning for visual recognition
-
Aug.
-
F. Zhu and L. Shao, "Weakly-supervised cross-domain dictionary learning for visual recognition," Int. J. Comput. Vis., vol. 109, nos. 1-2, pp. 42-59, Aug. 2014.
-
(2014)
Int. J. Comput. Vis.
, vol.109
, Issue.1-2
, pp. 42-59
-
-
Zhu, F.1
Shao, L.2
-
36
-
-
84897583648
-
An objectoriented visual saliency detection framework based on sparse coding representations
-
Dec.
-
J. Han, S. He, X. Qian, D. Wang, L. Guo, T. Liu, "An objectoriented visual saliency detection framework based on sparse coding representations," IEEE Trans. Circuits Syst. Video Technol., vol. 23, no. 12, pp. 2009-2021, Dec. 2013.
-
(2013)
IEEE Trans. Circuits Syst. Video Technol.
, vol.23
, Issue.12
, pp. 2009-2021
-
-
Han, J.1
He, S.2
Qian, X.3
Wang, D.4
Guo, L.5
Liu, T.6
-
37
-
-
84893418304
-
Efficient, simultaneous detection of multi-class geospatial targets based on visual saliency modeling and discriminative learning of sparse coding
-
Mar.
-
J. Han et al., "Efficient, simultaneous detection of multi-class geospatial targets based on visual saliency modeling and discriminative learning of sparse coding," ISPRS J. Photogramm. Remote Sens., vol. 89, pp. 37-48, Mar. 2014.
-
(2014)
ISPRS J. Photogramm. Remote Sens.
, vol.89
, pp. 37-48
-
-
Han, J.1
-
38
-
-
84898822478
-
Saliency detection via dense and sparse reconstruction
-
Sydney, NSW, Australia, Dec.
-
X. Li, H. Lu, L. Zhang, X. Ruan, M.-H. Yang, "Saliency detection via dense and sparse reconstruction," in Proc. 14th IEEE Int. Conf. Comput. Vis., Sydney, NSW, Australia, Dec. 2013, pp. 2976-2983.
-
(2013)
Proc. 14th IEEE Int. Conf. Comput. Vis.
, pp. 2976-2983
-
-
Li, X.1
Lu, H.2
Zhang, L.3
Ruan, X.4
Yang, M.-H.5
-
39
-
-
84899945571
-
Learning to predict eye fixations for semantic contents using multi-layer sparse network
-
Aug.
-
C. Shen and Q. Zhao, "Learning to predict eye fixations for semantic contents using multi-layer sparse network," Neurocomputing, vol. 138, pp. 61-68, Aug. 2014.
-
(2014)
Neurocomputing
, vol.138
, pp. 61-68
-
-
Shen, C.1
Zhao, Q.2
-
40
-
-
84923658437
-
Two-stage learning to predict human eye fixations via sdaes
-
Feb.
-
J. Han, D. Zhang, S. Wen, L. Guo, T. Liu, X. Li, "Two-stage learning to predict human eye fixations via sdaes," IEEE Trans. Syst., Man, Cybern., vol. PP, no. 99, Feb. 2015, doi: 10.1109/TCYB.2015.2404432.
-
(2015)
IEEE Trans. Syst., Man, Cybern.
, pp. 99
-
-
Han, J.1
Zhang, D.2
Wen, S.3
Guo, L.4
Liu, T.5
Li, X.6
-
41
-
-
84937468143
-
Saliency detection based on feature learning using deep Boltzmann machines
-
Chengdu, China, Jul.
-
S. Wen, J. Han, D. Zhang, L. Guo, "Saliency detection based on feature learning using deep Boltzmann machines," in Proc. IEEE Int. Conf. Multimedia Expo, Chengdu, China, Jul. 2014, pp. 1-6.
-
(2014)
Proc IEEE Int. Conf. Multimedia Expo
, pp. 1-6
-
-
Wen, S.1
Han, J.2
Zhang, D.3
Guo, L.4
-
42
-
-
84865657272
-
Learning visual saliency by combining feature maps in a nonlinear manner using AdaBoost
-
Jun.
-
Q. Zhao and C. Koch, "Learning visual saliency by combining feature maps in a nonlinear manner using AdaBoost," J. Vis., vol. 12, no. 6, p. 22, Jun. 2012.
-
(2012)
J. Vis.
, vol.12
, Issue.6
, pp. 22
-
-
Zhao, Q.1
Koch, C.2
-
43
-
-
84926497888
-
Background prior-based salient object detection via deep reconstruction residual
-
Aug.
-
J. Han, D. Zhang, X. Hu, L. Guo, J. Ren, F. Wu, "Background prior-based salient object detection via deep reconstruction residual," IEEE Trans. Circuits Syst. Video Technol., vol. 25, no. 8, pp. 1309-1321, Aug. 2015.
-
(2015)
IEEE Trans. Circuits Syst. Video Technol.
, vol.25
, Issue.8
, pp. 1309-1321
-
-
Han, J.1
Zhang, D.2
Hu, X.3
Guo, L.4
Ren, J.5
Wu, F.6
-
44
-
-
31644442650
-
Unsupervised extraction of visual attention objects in color images
-
Jan.
-
J. Han, K. N. Ngan, M. Li, H.-J. Zhang, "Unsupervised extraction of visual attention objects in color images," IEEE Trans. Circuits Syst. Video Technol., vol. 16, no. 1, pp. 141-145, Jan. 2006.
-
(2006)
IEEE Trans. Circuits Syst. Video Technol.
, vol.16
, Issue.1
, pp. 141-145
-
-
Han, J.1
Ngan, K.N.2
Li, M.3
Zhang, H.-J.4
-
45
-
-
78650512633
-
Learning to detect a salient object
-
Feb.
-
T. Liu et al., "Learning to detect a salient object," IEEE Trans. Pattern Anal. Mach. Intell., vol. 33, no. 2, pp. 353-367, Feb. 2011.
-
(2011)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.33
, Issue.2
, pp. 353-367
-
-
Liu, T.1
-
46
-
-
84904504536
-
Exploring feature sets for two-phase biomedical named entity recognition using semi-CRFs
-
L. Yang and Y. Zhou, "Exploring feature sets for two-phase biomedical named entity recognition using semi-CRFs," Knowl. Inf. Syst., vol. 40, no. 2, pp. 439-453, 2014.
-
(2014)
Knowl. Inf. Syst.
, vol.40
, Issue.2
, pp. 439-453
-
-
Yang, L.1
Zhou, Y.2
-
47
-
-
84894671825
-
Scalable sequential alternating proximal methods for sparse structural SVMs and CRFs
-
Mar.
-
P. Balamurugan, S. Shevade, T. R. Babu, "Scalable sequential alternating proximal methods for sparse structural SVMs and CRFs," Knowl. Inf. Syst., vol. 38, no. 3, pp. 599-621, Mar. 2014.
-
(2014)
Knowl. Inf. Syst.
, vol.38
, Issue.3
, pp. 599-621
-
-
Balamurugan, P.1
Shevade, S.2
Babu, T.R.3
-
48
-
-
80052904929
-
Tag localization with spatial correlations and joint group sparsity
-
Providence, RI, USA, Jun.
-
Y. Yang, Y. Yang, Z. Huang, H. T. Shen, F. Nie, "Tag localization with spatial correlations and joint group sparsity," in Proc. 25th IEEE Conf. Comput. Vis. Pattern Recognit., Providence, RI, USA, Jun. 2011, pp. 881-888.
-
(2011)
Proc. 25th IEEE Conf. Comput. Vis. Pattern Recognit.
, pp. 881-888
-
-
Yang, Y.1
Yang, Y.2
Huang, Z.3
Shen, H.T.4
Nie, F.5
-
49
-
-
84923215602
-
Image aesthetics enhancement using composition-based saliency detection
-
Mar.
-
H. Zhao, J. Chen, Y. Han, X. Cao, "Image aesthetics enhancement using composition-based saliency detection," Multimedia Syst., vol. 21, no. 2, pp. 159-168, Mar. 2015.
-
(2015)
Multimedia Syst.
, vol.21
, Issue.2
, pp. 159-168
-
-
Zhao, H.1
Chen, J.2
Han, Y.3
Cao, X.4
-
50
-
-
77955426203
-
Evaluating color descriptors for object and scene recognition
-
Sep.
-
K. E. A. van de Sande, T. Gevers, C. G. M. Snoek, "Evaluating color descriptors for object and scene recognition," IEEE Trans. Pattern Anal. Mach. Intell., vol. 32, no. 9, pp. 1582-1596, Sep. 2010.
-
(2010)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.32
, Issue.9
, pp. 1582-1596
-
-
Sande De Van, A.K.E.1
Gevers, T.2
Snoek, C.G.M.3
-
51
-
-
84866609797
-
Sparse tensor discriminant color space for face verification
-
Jun.
-
S.-J. Wang, J. Yang, M.-F. Sun, X.-J. Peng, M.-M. Sun, C.-G. Zhou, "Sparse tensor discriminant color space for face verification," IEEE Trans. Neural Netw. Learn. Syst., vol. 23, no. 6, pp. 876-888, Jun. 2012.
-
(2012)
IEEE Trans. Neural Netw. Learn. Syst.
, vol.23
, Issue.6
, pp. 876-888
-
-
Wang, S.-J.1
Yang, J.2
Sun, M.-F.3
Peng, X.-J.4
Sun, M.-M.5
Zhou, C.-G.6
-
52
-
-
84902262205
-
Video color conceptualization using optimization
-
X. Cao, Y. Zhang, X. Guo, Y.-M. Cheung, "Video color conceptualization using optimization," Sci. China Inf. Sci., vol. 57, no. 7, pp. 0721141-07211411, 2014.
-
(2014)
Sci. China Inf. Sci.
, vol.57
, Issue.7
, pp. 0721141-07211411
-
-
Cao, X.1
Zhang, Y.2
Guo, X.3
Cheung, Y.-M.4
-
53
-
-
84867880053
-
A new biologically inspired color image descriptor
-
Florence, Italy, Oct.
-
J. Zhang, Y. Barhomi, T. Serre, "A new biologically inspired color image descriptor," in Proc. 12th Eur. Conf. Comput. Vis., Florence, Italy, Oct. 2012, pp. 312-324.
-
(2012)
Proc. 12th Eur. Conf. Comput. Vis.
, pp. 312-324
-
-
Zhang, J.1
Barhomi, Y.2
Serre, T.3
-
54
-
-
0021321890
-
Anatomy and physiology of a color system in the primate visual cortex
-
M. S. Livingstone and D. H. Hubel, "Anatomy and physiology of a color system in the primate visual cortex," J. Neurosci., vol. 4, no. 1, pp. 309-356, 1984.
-
(1984)
J. Neurosci.
, vol.4
, Issue.1
, pp. 309-356
-
-
Livingstone, M.S.1
Hubel, D.H.2
-
55
-
-
0022388528
-
Shifts in selective visual attention: Towards the underlying neural circuitry
-
C. Koch and S. Ullman, "Shifts in selective visual attention: Towards the underlying neural circuitry," Human Neurobiol., vol. 4, no. 4, pp. 219-227, 1985.
-
(1985)
Human Neurobiol.
, vol.4
, Issue.4
, pp. 219-227
-
-
Koch, C.1
Ullman, S.2
-
56
-
-
0035286497
-
Computational modelling of visual attention
-
L. Itti and C. Koch, "Computational modelling of visual attention," Nature Rev. Neurosci., vol. 2, no. 3, pp. 194-203, 2001.
-
(2001)
Nature Rev. Neurosci.
, vol.2
, Issue.3
, pp. 194-203
-
-
Itti, L.1
Koch, C.2
-
57
-
-
0036148711
-
A saliency map in primary visual cortex
-
Jan.
-
Z. Li, "A saliency map in primary visual cortex," Trends Cognit. Sci., vol. 6, no. 1, pp. 9-16, Jan. 2002.
-
(2002)
Trends Cognit. Sci.
, vol.6
, Issue.1
, pp. 9-16
-
-
Li, Z.1
-
58
-
-
84862225694
-
Properties of V1 neurons tuned to conjunctions of visual features: Application of the V1 saliency hypothesis to visual search behavior
-
L. Zhaoping and L. Zhe, "Properties of V1 neurons tuned to conjunctions of visual features: Application of the V1 saliency hypothesis to visual search behavior," PLoS ONE, vol. 7, no. 6, p. e36223, 2012.
-
(2012)
PLoS ONE
, vol.7
, Issue.6
, pp. e36223
-
-
Zhaoping, L.1
Zhe, L.2
-
59
-
-
34249277812
-
Feature-specific interactions in salience from combined feature contrasts: Evidence for a bottom-up saliency map in V1
-
May
-
A. R. Koene and L. Zhaoping, "Feature-specific interactions in salience from combined feature contrasts: Evidence for a bottom-up saliency map in V1," J. Vis., vol. 7, no. 7, pp. 1-14, May 2007.
-
(2007)
J. Vis.
, vol.7
, Issue.7
, pp. 1-14
-
-
Koene, A.R.1
Zhaoping, L.2
-
60
-
-
33749535434
-
Origins of cross-orientation suppression in the visual cortex
-
B. Li, J. K. Thompson, T. Duong, M. R. Peterson, R. D. Freeman, "Origins of cross-orientation suppression in the visual cortex," J. Neurophysiol., vol. 96, no. 4, pp. 1755-1764, 2006.
-
(2006)
J. Neurophysiol.
, vol.96
, Issue.4
, pp. 1755-1764
-
-
Li, B.1
Thompson, J.K.2
Duong, T.3
Peterson, M.R.4
Freeman, R.D.5
-
61
-
-
79953765040
-
Color in the cortex: Single-and doubleopponent cells
-
Apr.
-
R. Shapley and M. J. Hawken, "Color in the cortex: Single-and doubleopponent cells," Vis. Res., vol. 51, no. 7, pp. 701-717, Apr. 2011.
-
(2011)
Vis. Res.
, vol.51
, Issue.7
, pp. 701-717
-
-
Shapley, R.1
Hawken, M.J.2
-
62
-
-
0018878142
-
A feature-integration theory of attention
-
Jan.
-
A. M. Treisman and G. Gelade, "A feature-integration theory of attention," Cognit. Psychol., vol. 12, no. 1, pp. 97-136, Jan. 1980.
-
(1980)
Cognit. Psychol.
, vol.12
, Issue.1
, pp. 97-136
-
-
Treisman, A.M.1
Gelade, G.2
-
63
-
-
0026904517
-
Normalization of cell responses in cat striate cortex
-
D. J. Heeger, "Normalization of cell responses in cat striate cortex," J. Neurosci., vol. 9, no. 2, pp. 181-197, 1992.
-
(1992)
J. Neurosci.
, vol.9
, Issue.2
, pp. 181-197
-
-
Heeger, D.J.1
-
64
-
-
77953205576
-
Learning to predict where humans look
-
Kyoto, Japan, Sep./Oct.
-
T. Judd, K. Ehinger, F. Durand, A. Torralba, "Learning to predict where humans look," in Proc. 12th IEEE Int. Conf. Comput. Vis., Kyoto, Japan, Sep./Oct. 2009, pp. 2106-2113.
-
(2009)
Proc. 12th IEEE Int. Conf. Comput. Vis.
, pp. 2106-2113
-
-
Judd, T.1
Ehinger, K.2
Durand, F.3
Torralba, A.4
-
65
-
-
33750963127
-
Spatial and temporal properties of cone signals in alert macaque primary visual cortex
-
B. R. Conway and M. S. Livingstone, "Spatial and temporal properties of cone signals in alert macaque primary visual cortex," J. Neurosci., vol. 26, no. 42, pp. 10826-10846, 2006.
-
(2006)
J. Neurosci.
, vol.26
, Issue.42
, pp. 10826-10846
-
-
Conway, B.R.1
Livingstone, M.S.2
-
66
-
-
80755188054
-
Cross-orientation suppression in human visual cortex
-
G. J. Brouwer and D. J. Heeger, "Cross-orientation suppression in human visual cortex," J. Neurophysiol., vol. 106, no. 5, pp. 2108-2119, 2011.
-
(2011)
J. Neurophysiol.
, vol.106
, Issue.5
, pp. 2108-2119
-
-
Brouwer, G.J.1
Heeger, D.J.2
-
67
-
-
58549119195
-
The normalization model of attention
-
Jan.
-
J. H. Reynolds and D. J. Heeger, "The normalization model of attention," Neuron, vol. 61, no. 2, pp. 168-185, Jan. 2009.
-
(2009)
Neuron
, vol.61
, Issue.2
, pp. 168-185
-
-
Reynolds, J.H.1
Heeger, D.J.2
-
68
-
-
84155167791
-
Normalization as a canonical neural computation
-
Jan.
-
M. Carandini and D. J. Heeger, "Normalization as a canonical neural computation," Nature Rev. Neurosci., vol. 13, pp. 51-62, Jan. 2012.
-
(2012)
Nature Rev. Neurosci.
, vol.13
, pp. 51-62
-
-
Carandini, M.1
Heeger, D.J.2
-
69
-
-
3042535216
-
Distinctive image features from scale-invariant keypoints
-
Nov.
-
D. G. Lowe, "Distinctive image features from scale-invariant keypoints," Int. J. Comput. Vis., vol. 60, no. 2, pp. 91-110, Nov. 2004.
-
(2004)
Int. J. Comput. Vis.
, vol.60
, Issue.2
, pp. 91-110
-
-
Lowe, D.G.1
-
70
-
-
84944266371
-
Local scale selection for Gaussian based description techniques
-
Dublin, Ireland. Jun.
-
O. Chomat, V. C. de Verdière, D. Hall, J. L. Crowley, "Local scale selection for Gaussian based description techniques," in Proc. 6th Eur. Conf. Comput. Vis., Dublin, Ireland, Jun. 2000, pp. 117-134.
-
(2000)
Proc. 6th Eur. Conf. Comput. Vis.
, pp. 117-134
-
-
Chomat, O.1
De Verdière, V.C.2
Hall, D.3
Crowley, J.L.4
-
71
-
-
0022014331
-
Spatiotemporal energy models for the perception of motion
-
E. H. Adelson and J. R. Bergen, "Spatiotemporal energy models for the perception of motion," J. Opt. Soc. Amer. A, vol. 2, no. 2, pp. 284-299, 1985.
-
(1985)
J. Opt. Soc. Amer. A
, vol.2
, Issue.2
, pp. 284-299
-
-
Adelson, E.H.1
Bergen, J.R.2
-
72
-
-
0028278438
-
Summation and division by neurons in primate visual cortex
-
M. Carandini and D. J. Heeger, "Summation and division by neurons in primate visual cortex," Science, vol. 264, no. 5163, pp. 1333-1336, 1994.
-
(1994)
Science
, vol.264
, Issue.5163
, pp. 1333-1336
-
-
Carandini, M.1
Heeger, D.J.2
-
73
-
-
81855172211
-
Image signature: Highlighting sparse salient regions
-
Jan.
-
X. Hou, J. Harel, C. Koch, "Image signature: Highlighting sparse salient regions," IEEE Trans. Pattern Anal. Mach. Intell., vol. 34, no. 1, pp. 194-201, Jan. 2012.
-
(2012)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.34
, Issue.1
, pp. 194-201
-
-
Hou, X.1
Harel, J.2
Koch, C.3
-
74
-
-
84921353380
-
Analysis of disparity maps for detecting saliency in stereoscopic video
-
Univ. Mannheim, Mannheim, Germany, Tech. Rep. TR-2013-003
-
S. Kopf, B. Guthier, P. Schaber, T. Dittrich, W. Effelsberg, "Analysis of disparity maps for detecting saliency in stereoscopic video," Dept. Comput. Sci., Univ. Mannheim, Mannheim, Germany, Tech. Rep. TR-2013-003, 2013.
-
(2013)
Dept. Comput. Sci.
-
-
Kopf, S.1
Guthier, B.2
Schaber, P.3
Dittrich, T.4
Effelsberg, W.5
-
75
-
-
84898819857
-
Saliency detection: A Boolean map approach
-
Sydney, NSW, Australia, Dec.
-
J. Zhang and S. Sclaroff, "Saliency detection: A Boolean map approach," in Proc. 14th IEEE Int. Conf. Comput. Vis., Sydney, NSW, Australia, Dec. 2013, pp. 153-160.
-
(2013)
Proc. 14th IEEE Int. Conf. Comput. Vis.
, pp. 153-160
-
-
Zhang, J.1
Sclaroff, S.2
-
76
-
-
79952814300
-
Predicting eye fixations on complex visual stimuli using local symmetry
-
Mar.
-
G. Kootstra, B. de Boer, L. R. B. Schomaker, "Predicting eye fixations on complex visual stimuli using local symmetry," Cognit. Comput., vol. 3, no. 1, pp. 223-240, Mar. 2011.
-
(2011)
Cognit. Comput.
, vol.3
, Issue.1
, pp. 223-240
-
-
Kootstra, G.1
De Boer, B.2
Schomaker, L.R.B.3
-
77
-
-
84864037603
-
Graph-based visual saliency
-
Vancouver, BC, Canada, Dec.
-
J. Harel, C. Koch, P. Perona, "Graph-based visual saliency," in Proc. 21th Annu. Conf. Neural Inf. Process. Syst., Vancouver, BC, Canada, Dec. 2007, pp. 545-552.
-
(2007)
Proc. 21th Annu. Conf. Neural Inf. Process. Syst.
, pp. 545-552
-
-
Harel, J.1
Koch, C.2
Perona, P.3
-
78
-
-
33745812085
-
A theory of a saliency map in primary visual cortex (V1) tested by psychophysics of colour-orientation interference in texture segmentation
-
L. Zhaoping and R. J. Snowden, "A theory of a saliency map in primary visual cortex (V1) tested by psychophysics of colour-orientation interference in texture segmentation," Vis. Cognit., vol. 14, nos. 4-8, pp. 911-933, 2006.
-
(2006)
Vis. Cognit.
, vol.14
, Issue.4-8
, pp. 911-933
-
-
Zhaoping, L.1
Snowden, R.J.2
-
79
-
-
79957836414
-
Learning a saliency map using fixated locations in natural scenes
-
Q. Zhao and C. Koch, "Learning a saliency map using fixated locations in natural scenes," J. Vis., vol. 11, no. 3, pp. 1-15, 2011.
-
(2011)
J. Vis.
, vol.11
, Issue.3
, pp. 1-15
-
-
Zhao, Q.1
Koch, C.2
-
80
-
-
7044257117
-
A biologically inspired algorithm for the recovery of shading and reflectance images
-
A. Olmos and F. A. Kingdom, "A biologically inspired algorithm for the recovery of shading and reflectance images," Perception, vol. 33, no. 12, pp. 1463-1473, 2004.
-
(2004)
Perception
, vol.33
, Issue.12
, pp. 1463-1473
-
-
Olmos, A.1
Kingdom, F.A.2
-
81
-
-
84897056830
-
Analysis of scores, datasets, models in visual saliency prediction
-
Sydney, NSW, Australia, Dec.
-
A. Borji, H. R. Tavakoli, D. N. Sihite, L. Itti, "Analysis of scores, datasets, models in visual saliency prediction," in Proc. 14th IEEE Int. Conf. Comput. Vis., Sydney, NSW, Australia, Dec. 2013, pp. 921-928.
-
(2013)
Proc. 14th IEEE Int. Conf. Comput. Vis.
, pp. 921-928
-
-
Borji, A.1
Tavakoli, H.R.2
Sihite, D.N.3
Itti, L.4
-
82
-
-
84921650810
-
-
Jan. [Online] Available
-
Z. Bylinskii, T. Judd, A. Borji, L. Itti, F. Durand, A. Oliva, A. Torralba. (Jan. 2012). MIT Saliency Benchmark. [Online]. Available: http://saliency.mit.edu/
-
(2012)
MIT Saliency Benchmark
-
-
Bylinskii, Z.1
Judd, T.2
Borji, A.3
Itti, L.4
Durand, F.5
Oliva, A.6
Torralba, A.7
-
83
-
-
84878629490
-
A benchmark of computational models of saliency to predict human fixations
-
Cambridge, MA, USA, Tech. Rep. MIT-CSAIL-TR-2012-001
-
T. Judd, F. Durand, A. Torralba, "A benchmark of computational models of saliency to predict human fixations," Dept. Comput. Graph., Massachusetts Inst. Technol., Cambridge, MA, USA, Tech. Rep. MIT-CSAIL-TR-2012-001, 2012.
-
(2012)
Dept. Comput. Graph., Massachusetts Inst. Technol.
-
-
Judd, T.1
Durand, F.2
Torralba, A.3
-
84
-
-
84896128428
-
Contextual hypergraph modeling for salient object detection
-
Sydney, NSW, Australia, Dec.
-
X. Li, Y. Li, C. Shen, A. Dick, A. van den Hengel, "Contextual hypergraph modeling for salient object detection," in Proc. 14th IEEE Int. Conf. Comput. Vis., Sydney, NSW, Australia, Dec. 2013, pp. 3328-3335.
-
(2013)
Proc. 14th IEEE Int. Conf. Comput. Vis.
, pp. 3328-3335
-
-
Li, X.1
Li, Y.2
Shen, C.3
Dick, A.4
Van Der Hengel, A.5
-
85
-
-
49649092814
-
Neural basis for unique hues
-
Aug.
-
C. M. Stoughton and B. R. Conway, "Neural basis for unique hues," Current Biol., vol. 18, no. 6, pp. R698-R699, Aug. 2008.
-
(2008)
Current Biol.
, vol.18
, Issue.6
, pp. R698-R699
-
-
Stoughton, C.M.1
Conway, B.R.2
-
86
-
-
84931578352
-
Light field saliency vs. 2D saliency: A comparative study
-
Oct.
-
X. Zhang, Y. Wang, J. Zhang, L. Hu, M. Wang, "Light field saliency vs. 2D saliency: A comparative study," Neurocomputing, vol. 166, pp. 389-396, Oct. 2015.
-
(2015)
Neurocomputing
, vol.166
, pp. 389-396
-
-
Zhang, X.1
Wang, Y.2
Zhang, J.3
Hu, L.4
Wang, M.5
-
87
-
-
84949772203
-
Saliency detection with a deeper investigation of light field
-
Jul.
-
J. Zhang, M. Wang, J. Gao, Y. Wang, X. Zhang, X. Wu, "Saliency detection with a deeper investigation of light field," in Proc. 24th Int. Joint Conf. Artif. Intell., Buenos Aires, Argentina, Jul. 2015, pp. 2212-2218.
-
(2015)
Proc. 24th Int. Joint Conf. Artif. Intell., Buenos Aires, Argentina
, pp. 2212-2218
-
-
Zhang, J.1
Wang, M.2
Gao, J.3
Wang, Y.4
Zhang, X.5
Wu, X.6
|