Visual Saliency: From Pixel-Level to Object-Level Analysis
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[1] Andrea Vedaldi,et al. Vlfeat: an open and portable library of computer vision algorithms , 2010, ACM Multimedia.
[2] Zhuowen Tu,et al. Unsupervised object class discovery via saliency-guided multiple class learning , 2012, CVPR.
[3] Stan Sclaroff,et al. Exploiting Surroundedness for Saliency Detection: A Boolean Map Approach , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[4] Kate Saenko,et al. From Virtual to Reality: Fast Adaptation of Virtual Object Detectors to Real Domains , 2014, BMVC.
[5] Pietro Perona,et al. Is bottom-up attention useful for object recognition? , 2004, CVPR 2004.
[6] Punam K. Saha,et al. Fuzzy Distance Transform: Theory, Algorithms, and Applications , 2002, Comput. Vis. Image Underst..
[7] Michael Goesele,et al. Back to the Future: Learning Shape Models from 3D CAD Data , 2010, BMVC.
[8] E. L. Kaufman,et al. The discrimination of visual number. , 1949, The American journal of psychology.
[9] Ronan Collobert,et al. Learning to Refine Object Segments , 2016, ECCV.
[10] C. Lawrence Zitnick,et al. Edge Boxes: Locating Object Proposals from Edges , 2014, ECCV.
[11] Panos Papasoglu,et al. Simply connected homogeneous continua are not separated by arcs , 2006, math/0611817.
[12] Shao-Wu Zhang,et al. Numerical Cognition in Bees and Other Insects , 2013, Front. Psychol..
[13] Jonathan T. Barron,et al. Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[14] Sabine Süsstrunk,et al. FASA: Fast, Accurate, and Size-Aware Salient Object Detection , 2014, ACCV.
[15] Vicente Ordonez,et al. ReferItGame: Referring to Objects in Photographs of Natural Scenes , 2014, EMNLP.
[16] Pekka J. Toivanen,et al. Erratum to "New geodesic distance transforms for gray-scale images" [Pattern Recognition Letters 17 (1996) 437-450] , 1996, Pattern Recognit. Lett..
[17] Tim K Marks,et al. SUN: A Bayesian framework for saliency using natural statistics. , 2008, Journal of vision.
[18] Feng Wu,et al. A Review of Co-saliency Detection Technique: Fundamentals, Applications, and Challenges , 2016, ArXiv.
[19] Huiling Wang,et al. Learning Optimal Seeds for Salient Object Detection , 2016, BICS.
[20] E Tulving,et al. Priming and human memory systems. , 1990, Science.
[21] Michael S. Bernstein,et al. ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.
[22] Martin D. Levine,et al. Visual Saliency Based on Scale-Space Analysis in the Frequency Domain , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[23] Radomír Mech,et al. Unconstrained Salient Object Detection via Proposal Subset Optimization , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[24] Vladimir Kolmogorov,et al. "GrabCut": interactive foreground extraction using iterated graph cuts , 2004, ACM Trans. Graph..
[25] R. Oppermann. Elements of the topology of plane sets of points: by M. H. A. Newman. 221 pages, illustrations, 15 × 23 cms. New York, The Macmillan Company, 1939. Price $3.50 , 1939 .
[26] Abe D. Hofman,et al. The role of pattern recognition in children's exact enumeration of small numbers. , 2014, The British journal of developmental psychology.
[27] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[28] Ariel Shamir,et al. Improved seam carving for video retargeting , 2008, SIGGRAPH 2008.
[29] Alberto Del Bimbo,et al. Socializing the Semantic Gap , 2015, ACM Comput. Surv..
[30] Radomír Mech,et al. Minimum Barrier Salient Object Detection at 80 FPS , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[31] Robert T. Collins,et al. Optimized Pedestrian Detection for Multiple and Occluded People , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[32] Ruth Kimchi,et al. Figure-Ground Segmentation Can Occur Without Attention , 2008, Psychological science.
[33] Matthias Bethge,et al. Deep Gaze I: Boosting Saliency Prediction with Feature Maps Trained on ImageNet , 2014, ICLR.
[34] Frédo Durand,et al. Learning to predict where humans look , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[35] James L. McClelland,et al. Progressive Development of the Number Sense in a Deep Neural Network , 2013, CogSci.
[36] Li Xu,et al. Hierarchical Saliency Detection , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[37] Kate Saenko,et al. Learning Deep Object Detectors from 3D Models , 2014, 2015 IEEE International Conference on Computer Vision (ICCV).
[38] Punam K. Saha,et al. The minimum barrier distance , 2013, Comput. Vis. Image Underst..
[39] Yusuke Sugano,et al. Self-Calibrating Head-Mounted Eye Trackers Using Egocentric Visual Saliency , 2015, UIST.
[40] Stan Sclaroff,et al. Saliency Detection: A Boolean Map Approach , 2013, 2013 IEEE International Conference on Computer Vision.
[41] R. Rosenholtz. Search asymmetries? What search asymmetries? , 2001, Perception & psychophysics.
[42] Huchuan Lu,et al. Saliency Detection via Graph-Based Manifold Ranking , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[43] Mingqiang Yang,et al. Ultra-Low Bit Rate Facial Coding Hybrid Model Based on Saliency Detection , 2015 .
[44] Nuno Vasconcelos,et al. Saliency-based discriminant tracking , 2009, CVPR.
[45] Andrew B. Whinston,et al. Content Complexity, Similarity, and Consistency in Social Media: A Deep Learning Approach , 2016 .
[46] Thierry Bouwmans,et al. Double-constrained RPCA based on saliency maps for foreground detection in automated maritime surveillance , 2015, 2015 12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).
[47] Fei-Fei Li,et al. Deep visual-semantic alignments for generating image descriptions , 2015, CVPR.
[48] Cristian Sminchisescu,et al. Dynamic Eye Movement Datasets and Learnt Saliency Models for Visual Action Recognition , 2012, ECCV.
[49] Adrien Descamps,et al. Counting People in the Crowd Using a Generic Head Detector , 2012, 2012 IEEE Ninth International Conference on Advanced Video and Signal-Based Surveillance.
[50] Frédo Durand,et al. A Benchmark of Computational Models of Saliency to Predict Human Fixations , 2012 .
[51] Stefan Carlsson,et al. CNN Features Off-the-Shelf: An Astounding Baseline for Recognition , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops.
[52] Matthieu Guillaumin,et al. Non-maximum Suppression for Object Detection by Passing Messages Between Windows , 2014, ACCV.
[53] Benjamin B. Bederson,et al. Automatic thumbnail cropping and its effectiveness , 2003, UIST '03.
[54] S. Dehaene,et al. FROM NUMBER NEURONS TO MENTAL ARITHMETIC : THE , 2003 .
[55] Margrit Betke,et al. Salient Object Subitizing , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[56] Yifan Peng,et al. Studying Relationships between Human Gaze, Description, and Computer Vision , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[57] H. Barlow. Vision Science: Photons to Phenomenology by Stephen E. Palmer , 2000, Trends in Cognitive Sciences.
[58] Jian Sun,et al. Saliency Optimization from Robust Background Detection , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[59] Philipp Aichinger,et al. Automatic Glottis Segmentation from Laryngeal High-Speed Videos Using 3D Active Contours , 2014, MIUA.
[60] Hongbin Zha,et al. Salient object detection for searched web images via global saliency , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[61] Tao Xiang,et al. Looking Beyond the Image: Unsupervised Learning for Object Saliency and Detection , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[62] Dumitru Erhan,et al. Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[63] S Ullman,et al. Shifts in selective visual attention: towards the underlying neural circuitry. , 1985, Human neurobiology.
[64] Antonio Torralba,et al. Context-based vision system for place and object recognition , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[65] Asha Iyer,et al. Components of bottom-up gaze allocation in natural images , 2005, Vision Research.
[66] Rainer Stiefelhagen,et al. Quaternion-Based Spectral Saliency Detection for Eye Fixation Prediction , 2012, ECCV.
[67] O. Reiser,et al. Principles Of Gestalt Psychology , 1936 .
[68] Shijian Lu,et al. Robust and Efficient Saliency Modeling from Image Co-Occurrence Histograms , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[69] J. Wolfe,et al. What attributes guide the deployment of visual attention and how do they do it? , 2004, Nature Reviews Neuroscience.
[70] Z Kourtzi,et al. Representation of Perceived Object Shape by the Human Lateral Occipital Complex , 2001, Science.
[71] Yao Lu,et al. Salient Object Detection using concavity context , 2011, 2011 International Conference on Computer Vision.
[72] Yong Jae Lee,et al. Discovering important people and objects for egocentric video summarization , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[73] Kannappan Palaniappan,et al. Cell Segmentation Using Coupled Level Sets and Graph-Vertex Coloring , 2006, MICCAI.
[74] Ohad Ben-Shahar,et al. A Closer Look at Context: From Coxels to the Contextual Emergence of Object Saliency , 2014, ECCV.
[75] Filip Malmberg,et al. The Boolean Map Distance: Theory and Efficient Computation , 2017, DGCI.
[76] Bernhard Schölkopf,et al. A Nonparametric Approach to Bottom-Up Visual Saliency , 2006, NIPS.
[77] Huchuan Lu,et al. Saliency Detection via Absorbing Markov Chain , 2013, 2013 IEEE International Conference on Computer Vision.
[78] Petros Maragos,et al. Threshold Superposition in Morphological Image Analysis Systems , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[79] Zhenjiang Miao,et al. Saliency Weighted Spatial Pyramid Representation for Object Recognition , 2015 .
[80] R. Rafal,et al. A systematic study of visual extinction. Between- and within-field deficits of attention in hemispatial neglect. , 2000, Brain : a journal of neurology.
[81] Jingdong Wang,et al. Salient Object Detection: A Discriminative Regional Feature Integration Approach , 2013, International Journal of Computer Vision.
[82] Carlo Umiltà,et al. Foreground–background segmentation and attention: A change blindness study , 2005, Psychological research.
[83] Toby Sharp,et al. Image segmentation with a bounding box prior , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[84] James M. Rehg,et al. The Secrets of Salient Object Segmentation , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[85] Nicu Sebe,et al. Image saliency by isocentric curvedness and color , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[86] Ying Wu,et al. A unified approach to salient object detection via low rank matrix recovery , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[87] Esa Rahtu,et al. Fast and Efficient Saliency Detection Using Sparse Sampling and Kernel Density Estimation , 2011, SCIA.
[88] Yoshua Bengio,et al. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention , 2015, ICML.
[89] Yoichi Sato,et al. Appearance-Based Gaze Estimation Using Visual Saliency , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[90] A. ROSENFELD,et al. Distance functions on digital pictures , 1968, Pattern Recognit..
[91] Vladlen Koltun,et al. Geodesic Object Proposals , 2014, ECCV.
[92] Trevor Darrell,et al. Caffe: Convolutional Architecture for Fast Feature Embedding , 2014, ACM Multimedia.
[93] Xiaogang Wang,et al. Saliency detection by multi-context deep learning , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[94] Michael Dorr,et al. Large-Scale Optimization of Hierarchical Features for Saliency Prediction in Natural Images , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[95] Andrew Zisserman,et al. Learning To Count Objects in Images , 2010, NIPS.
[96] Lihi Zelnik-Manor,et al. How to Evaluate Foreground Maps , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[97] Gabriela Csurka,et al. A framework for visual saliency detection with applications to image thumbnailing , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[98] Hans-Peter Seidel,et al. GazeStereo3D: seamless disparity manipulations , 2016, ACM Trans. Graph..
[99] Marco Zorzi,et al. Emergence of a 'visual number sense' in hierarchical generative models , 2012, Nature Neuroscience.
[100] Iain D. Gilchrist,et al. Visual correlates of fixation selection: effects of scale and time , 2005, Vision Research.
[101] Huchuan Lu,et al. Saliency Detection via Dense and Sparse Reconstruction , 2013, 2013 IEEE International Conference on Computer Vision.
[102] Patrick Le Callet,et al. Does where you Gaze on an Image Affect your Perception of Quality? Applying Visual Attention to Image Quality Metric , 2007, 2007 IEEE International Conference on Image Processing.
[103] Peyman Milanfar,et al. Static and space-time visual saliency detection by self-resemblance. , 2009, Journal of vision.
[104] Tao Xiang,et al. Weakly supervised object detector learning with model drift detection , 2011, 2011 International Conference on Computer Vision.
[105] David A. Clausi,et al. Existence Detection of Objects in Images for Robot Vision Using Saliency Histogram Features , 2013, 2013 International Conference on Computer and Robot Vision.
[106] Alex Graves,et al. Recurrent Models of Visual Attention , 2014, NIPS.
[107] Luc Vincent,et al. Morphological grayscale reconstruction in image analysis: applications and efficient algorithms , 1993, IEEE Trans. Image Process..
[108] Koen E. A. van de Sande,et al. Selective Search for Object Recognition , 2013, International Journal of Computer Vision.
[109] Alexander Schrijver,et al. Combinatorial optimization. Polyhedra and efficiency. , 2003 .
[110] Nanning Zheng,et al. Learning to Detect a Salient Object , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[111] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[112] Qi Tian,et al. Saliency Density Maximization for Object Detection and Localization , 2010, ACCV.
[113] Kristen Grauman,et al. Intentional Photos from an Unintentional Photographer: Detecting Snap Points in Egocentric Video with a Web Photo Prior , 2014, Mobile Cloud Visual Media Computing.
[114] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[115] Xiang Zhang,et al. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks , 2013, ICLR.
[116] Z. Pylyshyn,et al. Why are small and large numbers enumerated differently? A limited-capacity preattentive stage in vision. , 1994, Psychological review.
[117] Steven Le Moan,et al. Exploiting Change Blindness for Image Compression , 2015, 2015 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS).
[118] Dumitru Erhan,et al. Scalable, High-Quality Object Detection , 2014, ArXiv.
[119] Gert Kootstra,et al. Paying Attention to Symmetry , 2008, BMVC.
[120] Jian Sun,et al. Geodesic Saliency Using Background Priors , 2012, ECCV.
[121] G. Mandler,et al. Subitizing: an analysis of its component processes. , 1982, Journal of experimental psychology. General.