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Understanding and predicting the human visual attentional mechanism is an active area of research in the fields of neuroscience and computer vision.
A. M. Treisman and G. Gelade, “A feature-integration theory of attention,” Cognitive psychology , vol. 12, no. 1, pp. 97–136, 1980
1980
Earlier work this paper cites.
C. Koch and S. Ullman, “Shifts in selective visual attention: towards the underlying neural circuitry.” Human neurobiology , vol. 4, no. 4, pp. 219–227, 1985
1985
Earlier work this paper cites.
L. Itti, C. Koch, and E. Niebur, “A model of saliency-based visual attention for rapid scene analysis,” Pattern Analysis and Machine Intelligence, IEEE Transactions on , vol. 20, no. 11, pp. 1254–1259, Nov 1998
1998
Earlier work this paper cites.
D. Walther, L. Itti, M. Riesenhuber, T. Poggio, and C. Koch, “Attentional selection for object recognition—a gentle way,” in Biologically Motivated Computer Vision . Springer, 2002, pp. 472–479
2002
Earlier work this paper cites.
L.-Q. Chen, X. Xie, X. Fan, W.-Y. Ma, H.-J. Zhang, and H.-Q. Zhou, “A visual attention model for adapting images on small displays,” Multimedia systems , vol. 9, no. 4, pp. 353–364, 2003
2003
Earlier work this paper cites.
A. Oliva, A. Torralba, M. S. Castelhano, and J. M. Henderson, “Top-down control of visual attention in object detection,” in Image processing, 2003. icip 2003. proceedings. 2003 international conference on , vol. 1. IEEE, 2003, pp. I–253
2003
Earlier work this paper cites.
C. E. Connor, H. E. Egeth, and S. Yantis, “Visual attention: bottom-up versus top-down,” Current Biology , vol. 14, no. 19, pp. R850–R852, 2004
2004
Earlier work this paper cites.
N. Bruce and J. Tsotsos, “Saliency based on information maximization,” in Advances in neural information processing systems , 2005, pp. 155–162
2005
Earlier work this paper cites.
R. J. Peters, A. Iyer, L. Itti, and C. Koch, “Components of bottom-up gaze allocation in natural images,” Vision research , vol. 45, no. 18, pp. 2397–2416, 2005
2005
Earlier work this paper cites.
E. Awh, E. Vogel, and S.-H. Oh, “Interactions between attention and working memory,” Neuroscience , vol. 139, no. 1, pp. 201–208, 2006
2006
Earlier work this paper cites.
J. Harel, C. Koch, and P. Perona, “Graph-based visual saliency,” in Advances in neural information processing systems , 2006, pp. 545–552
2006
Earlier work this paper cites.
F. Porikli, O. Tuzel, and P. Meer, “Covariance tracking using model update based on lie algebra,” in Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on , vol. 1. IEEE, 2006, pp. 728–735
2006
Earlier work this paper cites.
E. Niebur, “Saliency map,” Scholarpedia , vol. 2, no. 8, 2007
2007
Earlier work this paper cites.
L. Itti, “Visual salience,” Scholarpedia , vol. 2, no. 9, p. 3327, 2007
2007
Earlier work this paper cites.
B. W. Tatler, “The central fixation bias in scene viewing: Selecting an optimal viewing position independently of motor biases and image feature distributions,” Journal of Vision , vol. 7, no. 14, p. 4, 2007
2007
Earlier work this paper cites.
R. Collobert and J. Weston, “A unified architecture for natural language processing: Deep neural networks with multitask learning,” in Proceedings of the 25th international conference on Machine learning . ACM, 2008, pp. 160–167
2008
Earlier work this paper cites.
R. J. Peters and L. Itti, “Applying computational tools to predict gaze direction in interactive visual environments,” ACM Transactions on Applied Perception (TAP) , vol. 5, no. 2, p. 9, 2008
2008
Earlier work this paper cites.
K. Rapantzikos, Y. Avrithis, and S. Kollias, “Dense saliency-based spatiotemporal feature points for action recognition,” in Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on . IEEE, 2009, pp. 1454–1461
2009
Earlier work this paper cites.
R. Valenti, N. Sebe, and T. Gevers, “Image saliency by isocentric curvedness and color,” in Computer Vision, 2009 IEEE 12th International Conference on , Sept 2009, pp. 2185–2192
2009
Cited alongside, same era.
P.-H. Tseng, R. Carmi, I. G. Cameron, D. P. Munoz, and L. Itti, “Quantifying center bias of observers in free viewing of dynamic natural scenes,” Journal of vision , vol. 9, no. 7, p. 4, 2009
2009
Cited alongside, same era.
T. Judd, K. Ehinger, F. Durand, and A. Torralba, “Learning to predict where humans look,” in Computer Vision, 2009 IEEE 12th international conference on . IEEE, 2009, pp. 2106–2113
2009
Cited alongside, same era.
S. Frintrop, E. Rome, and H. I. Christensen, “Computational visual attention systems and their cognitive foundations: A survey,” ACM Transactions on Applied Perception (TAP) , vol. 7, no. 1, p. 6, 2010
2010
Cited alongside, same era.
A. Borji, H. R. Tavakoli, D. N. Sihite, and L. Itti, “Analysis of scores, datasets, and models in visual saliency prediction,” in Computer Vision (ICCV), 2013 IEEE International Conference on . IEEE, 2013, pp. 921–928
2013
Later among the works it cites.
H. Hadizadeh and I. V. Bajic, “Saliency-aware video compression,” Image Processing, IEEE Transactions on , vol. 23, no. 1, pp. 19–33, 2014
2014
Later among the works it cites.
B. Zhou, A. Lapedriza, J. Xiao, A. Torralba, and A. Oliva, “Learning deep features for scene recognition using places database,” in Advances in Neural Information Processing Systems , 2014, pp. 487–495
2014
Later among the works it cites.
2014
Later among the works it cites.
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L. Bottou, “Large-scale machine learning with stochastic gradient descent,” in Proceedings of COMPSTAT’2010 . Springer, 2010, pp. 177–186
2010
Cited alongside, same era.
Y. Yang, M. Song, N. Li, J. Bu, and C. Chen, “What is the chance of happening: a new way to predict where people look,” in Computer Vision–ECCV 2010 . Springer, 2010, pp. 631–643
2010
Cited alongside, same era.
T. Yubing, F. A. Cheikh, F. F. E. Guraya, H. Konik, and A. Trémeau, “A spatiotemporal saliency model for video surveillance,” Cognitive Computation , vol. 3, no. 1, pp. 241–263, 2011
2011
Cited alongside, same era.
2011
Cited alongside, same era.
T. Judd, F. Durand, and A. Torralba, “A benchmark of computational models of saliency to predict human fixations,” in MIT Technical Report , 2012
2012
Cited alongside, same era.
G. Hinton, L. Deng, D. Yu, G. E. Dahl, A.-r. Mohamed, N. Jaitly, A. Senior, V. Vanhoucke, P. Nguyen, T. N. Sainath et al. , “Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups,” Signal Processing Magazine, IEEE , vol. 29, no. 6, pp. 82–97, 2012
2012
Cited alongside, same era.
A. Krizhevsky, I. Sutskever, and G. E. Hinton, “Imagenet classification with deep convolutional neural networks,” in Advances in neural information processing systems , 2012, pp. 1097–1105
2012
Cited alongside, same era.
C. Lang, T. V. Nguyen, H. Katti, K. Yadati, M. Kankanhalli, and S. Yan, “Depth matters: Influence of depth cues on visual saliency,” in Computer Vision–ECCV 2012 . Springer, 2012, pp. 101–115
2012
Cited alongside, same era.
2014
Later among the works it cites.
2014
Later among the works it cites.
E. Vig, M. Dorr, and D. Cox, “Large-scale optimization of hierarchical features for saliency prediction in natural images,” in Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on . IEEE, 2014, pp. 2798–2805
2014
Later among the works it cites.
A. S. Razavian, H. Azizpour, J. Sullivan, and S. Carlsson, “Cnn features off-the-shelf: an astounding baseline for recognition,” in Computer Vision and Pattern Recognition Workshops (CVPRW), 2014 IEEE Conference on . IEEE, 2014, pp. 512–519
2014
Later among the works it cites.
2014
Later among the works it cites.
2014
Later among the works it cites.
2014
Later among the works it cites.
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick, “Microsoft coco: Common objects in context,” in Computer Vision–ECCV 2014 . Springer, 2014, pp. 740–755
2014
Later among the works it cites.
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, A. C. Berg, and L. Fei-Fei, “ImageNet Large Scale Visual Recognition Challenge,” International Journal of Computer Vision (IJCV) , pp. 1–42, April 2015
2015
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2015
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N. Liu, J. Han, D. Zhang, S. Wen, and T. Liu, “Predicting eye fixations using convolutional neural networks,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2015, pp. 362–370
2015
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2015
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M. Jiang, S. Huang, J. Duan, and Q. Zhao, “SALICON: Saliency in context,” in Proceedings of the IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) , 2015
2015
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M. Cheng, N. J. Mitra, X. Huang, P. H. Torr, and S. Hu, “Global contrast based salient region detection,” Pattern Analysis and Machine Intelligence, IEEE Transactions on , vol. 37, no. 3, pp. 569–582, 2015
2015
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