Relating Things and Stuff via ObjectProperty Interactions
暂无分享,去创建一个
[1] Thomas Hofmann,et al. Support vector machine learning for interdependent and structured output spaces , 2004, ICML.
[2] Silvio Savarese,et al. Estimating the aspect layout of object categories , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[3] Olga Veksler,et al. Fast approximate energy minimization via graph cuts , 2001, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[4] Silvio Savarese,et al. Toward coherent object detection and scene layout understanding , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[5] Alexei A. Efros,et al. Closing the loop in scene interpretation , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[6] B. Schiele,et al. Combined Object Categorization and Segmentation With an Implicit Shape Model , 2004 .
[7] Sanja Fidler,et al. Describing the scene as a whole: Joint object detection, scene classification and semantic segmentation , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[8] Joost van de Weijer,et al. Harmony potentials for joint classification and segmentation , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[9] Luc Van Gool,et al. The 2005 PASCAL Visual Object Classes Challenge , 2005, MLCW.
[10] Trevor Darrell,et al. The pyramid match kernel: discriminative classification with sets of image features , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[11] Silvio Savarese,et al. Semantic structure from motion , 2011, CVPR 2011.
[12] Silvio Savarese,et al. Object Detection with Geometrical Context Feedback Loop , 2010, BMVC.
[13] Jitendra Malik,et al. Object detection using a max-margin Hough transform , 2009, CVPR.
[14] Antonio Criminisi,et al. TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation , 2006, ECCV.
[15] Pushmeet Kohli,et al. Robust Higher Order Potentials for Enforcing Label Consistency , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[16] Silvio Savarese,et al. Depth-Encoded Hough Voting for Joint Object Detection and Shape Recovery , 2010, ECCV.
[17] Juergen Gall,et al. Class-specific Hough forests for object detection , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[18] Stephen Gould,et al. Region-based Segmentation and Object Detection , 2009, NIPS.
[19] Ashutosh Saxena,et al. Cascaded Classification Models: Combining Models for Holistic Scene Understanding , 2008, NIPS.
[20] Gert R. G. Lanckriet,et al. Multi-class object localization by combining local contextual interactions , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[21] Martial Hebert,et al. Stacked Hierarchical Labeling , 2010, ECCV.
[22] Svetlana Lazebnik,et al. Superparsing - Scalable Nonparametric Image Parsing with Superpixels , 2010, Int. J. Comput. Vis..
[23] Stephen Gould,et al. Decomposing a scene into geometric and semantically consistent regions , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[24] Vladimir Kolmogorov,et al. What energy functions can be minimized via graph cuts? , 2002, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[25] Tsuhan Chen,et al. Toward Holistic Scene Understanding: Feedback Enabled Cascaded Classification Models , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[26] Philip H. S. Torr,et al. What, Where and How Many? Combining Object Detectors and CRFs , 2010, ECCV.
[27] Pushmeet Kohli,et al. On Detection of Multiple Object Instances Using Hough Transforms , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[28] Yong Jae Lee,et al. Object-graphs for context-aware category discovery , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[29] Charless C. Fowlkes,et al. Discriminative Models for Multi-Class Object Layout , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[30] Li Fei-Fei,et al. Towards total scene understanding: Classification, annotation and segmentation in an automatic framework , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[31] Alexei A. Efros,et al. An empirical study of context in object detection , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[32] Daphne Koller,et al. Learning Spatial Context: Using Stuff to Find Things , 2008, ECCV.
[33] Vladimir Kolmogorov,et al. Optimizing Binary MRFs via Extended Roof Duality , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[34] Alexei A. Efros,et al. Putting Objects in Perspective , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[35] Jamie Shotton,et al. The Layout Consistent Random Field for Recognizing and Segmenting Partially Occluded Objects , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[36] Jianguo Zhang,et al. The PASCAL Visual Object Classes Challenge , 2006 .
[37] Miguel Á. Carreira-Perpiñán,et al. Multiscale conditional random fields for image labeling , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[38] David A. McAllester,et al. A discriminatively trained, multiscale, deformable part model , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[39] R. Zemel,et al. Multiscale conditional random fields for image labeling , 2004, CVPR 2004.
[40] Fei-Fei Li,et al. What, Where and Who? Telling the Story of an Image by Activity Classification, Scene Recognition and Object Categorization , 2010, Computer Vision: Detection, Recognition and Reconstruction.
[41] Pushmeet Kohli,et al. Graph Cut Based Inference with Co-occurrence Statistics , 2010, ECCV.
[42] Andrea Vedaldi,et al. Objects in Context , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[43] ZissermanAndrew,et al. The Pascal Visual Object Classes Challenge , 2015 .
[44] Silvio Savarese,et al. A multi-view probabilistic model for 3D object classes , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[45] Endre Boros,et al. Pseudo-Boolean optimization , 2002, Discret. Appl. Math..
[46] Daniel P. Huttenlocher,et al. Pictorial Structures for Object Recognition , 2004, International Journal of Computer Vision.
[47] Roberto Cipolla,et al. Semantic texton forests for image categorization and segmentation , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.