Spring Lattice Counting Grids: Scene Recognition Using Deformable Positional Constraints
暂无分享,去创建一个
[1] Nebojsa Jojic,et al. Structural epitome: a way to summarize one's visual experience , 2010, NIPS.
[2] G LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .
[3] Nebojsa Jojic,et al. Free energy score space , 2009, NIPS.
[4] Michael Isard,et al. Nonparametric belief propagation , 2010, Commun. ACM.
[5] Michael I. Mandel,et al. Visual Hand Tracking Using Nonparametric Belief Propagation , 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.
[6] Antonio Torralba,et al. Context-based vision system for place and object recognition , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[7] Nebojsa Jojic,et al. Multidimensional counting grids: Inferring word order from disordered bags of words , 2011, UAI.
[8] Vladlen Koltun,et al. Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials , 2011, NIPS.
[9] Svetlana Lazebnik,et al. Scene recognition and weakly supervised object localization with deformable part-based models , 2011, 2011 International Conference on Computer Vision.
[10] Antti Oulasvirta,et al. Computer Vision – ECCV 2006 , 2006, Lecture Notes in Computer Science.
[11] Cordelia Schmid,et al. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[12] David G. Lowe,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004, International Journal of Computer Vision.
[13] Antonio Torralba,et al. Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope , 2001, International Journal of Computer Vision.
[14] Pietro Perona,et al. Object class recognition by unsupervised scale-invariant learning , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[15] Pedro F. Felzenszwalb,et al. Reconfigurable models for scene recognition , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[16] Pietro Perona,et al. A Bayesian hierarchical model for learning natural scene categories , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[17] Fei-Fei Li,et al. Large Margin Learning of Upstream Scene Understanding Models , 2010, NIPS.
[18] Andrew Zisserman,et al. Scene Classification Via pLSA , 2006, ECCV.
[19] Antonio Torralba,et al. Recognizing indoor scenes , 2009, CVPR.
[20] Nebojsa Jojic,et al. Image analysis by counting on a grid , 2011, CVPR 2011.
[21] Brendan J. Frey,et al. Epitomic analysis of appearance and shape , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[22] Michael Isard,et al. PAMPAS: real-valued graphical models for computer vision , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[23] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..