Learning to Detect A Salient Object
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Nanning Zheng | Harry Shum | Jian Sun | Tie Liu | Xiaoou Tang | Jian Sun | Xiaoou Tang | H. Shum | Jingdong Wang | Tie Liu | Zejian Yuan | N. Zheng
[1] A. Treisman,et al. A feature-integration theory of attention , 1980, Cognitive Psychology.
[2] S Ullman,et al. Shifts in selective visual attention: towards the underlying neural circuitry. , 1985, Human neurobiology.
[3] John K. Tsotsos,et al. Modeling Visual Attention via Selective Tuning , 1995, Artif. Intell..
[4] C. Koch,et al. Models of bottom-up and top-down visual attention , 2000 .
[5] Marie-Pierre Jolly,et al. Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[6] C. Koch,et al. Computational modelling of visual attention , 2001, Nature Reviews Neuroscience.
[7] Andrew McCallum,et al. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data , 2001, ICML.
[8] Dorin Comaniciu,et al. Mean Shift: A Robust Approach Toward Feature Space Analysis , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[9] HongJiang Zhang,et al. A model of motion attention for video skimming , 2002, Proceedings. International Conference on Image Processing.
[10] Christof Koch,et al. Attentional Selection for Object Recognition - A Gentle Way , 2002, Biologically Motivated Computer Vision.
[11] Xavier Cufí,et al. Yet Another Survey on Image Segmentation: Region and Boundary Information Integration , 2002, ECCV.
[12] HongJiang Zhang,et al. Contrast-based image attention analysis by using fuzzy growing , 2003, MULTIMEDIA '03.
[13] Xing Xie,et al. A visual attention model for adapting images on small displays , 2003, Multimedia Systems.
[14] Shimon Ullman,et al. Combining Top-Down and Bottom-Up Segmentation , 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.
[15] Jitendra Malik,et al. Learning to detect natural image boundaries using local brightness, color, and texture cues , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[16] Pietro Perona,et al. Is bottom-up attention useful for object recognition? , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[17] Patrick Pérez,et al. Interactive Image Segmentation Using an Adaptive GMMRF Model , 2004, ECCV.
[18] Andrew Blake,et al. "GrabCut" , 2004, ACM Trans. Graph..
[19] Harry Shum,et al. Video object cut and paste , 2005, ACM Trans. Graph..
[20] Jitendra Malik,et al. Cue Integration for Figure/Ground Labeling , 2005, NIPS.
[21] John K. Tsotsos,et al. Saliency Based on Information Maximization , 2005, NIPS.
[22] Pierre Baldi,et al. A principled approach to detecting surprising events in video , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[23] Bill Triggs,et al. Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[24] Marc Parizeau,et al. Incremental discovery of object parts in video sequences , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[25] Fatih Murat Porikli,et al. Integral histogram: a fast way to extract histograms in Cartesian spaces , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[26] Mubarak Shah,et al. Visual attention detection in video sequences using spatiotemporal cues , 2006, MM '06.
[27] Michael Gleicher,et al. Region Enhanced Scale-Invariant Saliency Detection , 2006, 2006 IEEE International Conference on Multimedia and Expo.
[28] Nebojsa Jojic,et al. Escaping local minima through hierarchical model selection: Automatic object discovery, segmentation, and tracking in video , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[29] David Salesin,et al. Gaze-based interaction for semi-automatic photo cropping , 2006, CHI.
[30] Bernt Schiele,et al. Segmentation Based Multi-Cue Integration for Object Detection , 2006, BMVC.
[31] Laurent Itti,et al. An Integrated Model of Top-Down and Bottom-Up Attention for Optimizing Detection Speed , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[32] Michael Gleicher,et al. Video retargeting: automating pan and scan , 2006, MM '06.
[33] Vladimir Kolmogorov,et al. Convergent Tree-Reweighted Message Passing for Energy Minimization , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[34] L. Itti,et al. Visual causes versus correlates of attentional selection in dynamic scenes , 2006, Vision Research.
[35] Patrick Le Callet,et al. A coherent computational approach to model bottom-up visual attention , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[36] Pietro Perona,et al. Graph-Based Visual Saliency , 2006, NIPS.
[37] Antonio Criminisi,et al. TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation , 2006, ECCV.
[38] Tsuhan Chen,et al. A Topic-Motion Model for Unsupervised Video Object Discovery , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[39] Alexandre Bur,et al. Dynamic visual attention: competitive versus motion priority scheme , 2007, ICVS 2007.
[40] Anat Levin,et al. Learning to Combine Bottom-Up and Top-Down Segmentation , 2006, International Journal of Computer Vision.
[41] Christoph H. Lampert,et al. Beyond sliding windows: Object localization by efficient subwindow search , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[42] Laurent Itti,et al. Interesting objects are visually salient. , 2008, Journal of vision.
[43] Antonio Torralba,et al. SIFT Flow: Dense Correspondence across Different Scenes , 2008, ECCV.
[44] Christof Koch,et al. A Model of Saliency-Based Visual Attention for Rapid Scene Analysis , 2009 .
[45] Guillermo Sapiro,et al. Video SnapCut: robust video object cutout using localized classifiers , 2009, SIGGRAPH 2009.
[46] Pieter Peers,et al. SubEdit: a representation for editing measured heterogeneous subsurface scattering , 2009, SIGGRAPH 2009.
[47] Pierre Baldi,et al. Bayesian surprise attracts human attention , 2005, Vision Research.
[48] Frédo Durand,et al. Learning to predict where humans look , 2009, 2009 IEEE 12th International Conference on Computer Vision.