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NTIS 바로가기IEEE transactions on pattern analysis and machine intelligence, v.37 no.10, 2015년, pp.2057 - 2070
Yan Luo (Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, Singapore) , Ming Jiang (Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, Singapore) , Yongkang Wong (Interactive & Digital Media Inst., Nat. Univ. of Singapore, Singapore, Singapore) , Qi Zhao (Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, Singapore)
A significant body of literature on saliency modeling predicts where humans look in a single image or video. Besides the scientific goal of understanding how information is fused from multiple visual sources to identify regions of interest in a holistic manner, there are tremendous engineering appli...
Proc IEEE Int Workshop Perform Eval Track Surveill Overview of the pets2006 challenge thirde 0 47
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Proc Int Conf Pattern Recognit A framework for evaluating the effect of view angle, clothing and carrying condition on gait recognition yu 0 441
Proc Adv Neural Inform Process Syst Graph-based visual saliency harel 0 545
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Proc Adv Neural Inform Process Syst Sparse deep belief net model for visual area V2 lee 0 873
Proc Adv Neural Inform Process Syst Saliency based on information maximization bruce 0 155
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Proc Adv Neural Inform Process Syst Dynamic visual attention: Searching for coding length increments hou 0 681
Proc Adv Neural Inform Process Syst Dynamic visual attention: Searching for coding length increments hou 0 681
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Itti, L., Koch, C., Niebur, E.. A model of saliency-based visual attention for rapid scene analysis. IEEE transactions on pattern analysis and machine intelligence, vol.20, no.11, 1254-1259.
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IEEE Trans Pattern Anal Mach Intell Image signature: Highlighting sparse salient regions hou 2012 10.1109/TPAMI.2011.146 34 194
Proc IEEE Conf Comput Vis Pattern Recognit A unified approach to salient object detection via low rank matrix recovery shen 0 853
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Torralba, Antonio. Modeling global scene factors in attention. Journal of the Optical Society of America. A, Optics, image science, and vision, vol.20, no.7, 1407-.
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Proc 16th Int Conf Adv Multimedia Model Stereoscopic visual attention model for 3D video zhang 0 314
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Avraham, T., Lindenbaum, M.. Esaliency (Extended Saliency): Meaningful Attention Using Stochastic Image Modeling. IEEE transactions on pattern analysis and machine intelligence, vol.32, no.4, 693-708.
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Ye Luo, Junsong Yuan, Ping Xue, Qi Tian. Saliency Density Maximization for Efficient Visual Objects Discovery. IEEE transactions on circuits and systems for video technology : a publication of the Circuits and Systems Society, vol.21, no.12, 1822-1834.
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Proc 13th Eur Conf Comput Vis Saliency in crowd jiang 0 8695 17
Xu, Juan, Jiang, Ming, Wang, Shuo, Kankanhalli, Mohan S., Zhao, Qi. Predicting human gaze beyond pixels. Journal of vision, vol.14, no.1, 28-28.
Frintrop, Simone, Rome, Erich, Nüchter, Andreas, Surmann, Hartmut. A Bimodal Laser-Based Attention System. Computer vision and image understanding : CVIU, vol.100, no.1, 124-151.
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Jian Li, Levine, M. D., Xiangjing An, Xin Xu, Hangen He. Visual Saliency Based on Scale-Space Analysis in the Frequency Domain. IEEE transactions on pattern analysis and machine intelligence, vol.35, no.4, 996-1010.
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Einh?user, Wolfgang, Spain, Merrielle, Perona, Pietro. Objects predict fixations better than early saliency.. Journal of vision, vol.8, no.14,
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