Putting Objects in Perspective
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[1] H. Barrow,et al. RECOVERING INTRINSIC SCENE CHARACTERISTICS FROM IMAGES , 1978 .
[2] Judea Pearl,et al. Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.
[3] David A. Forsyth,et al. Using global consistency to recognise Euclidean objects with an uncalibrated camera , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[4] Y. Ohta. Knowledge-based interpretation of outdoor natural color scenes , 1998 .
[5] John Platt,et al. Probabilistic Outputs for Support vector Machines and Comparisons to Regularized Likelihood Methods , 1999 .
[6] Kevin Murphy,et al. Bayes net toolbox for Matlab , 1999 .
[7] Heinrich Niemann,et al. Statistical modeling and performance characterization of a real-time dual camera surveillance system , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[8] Paul A. Viola,et al. Robust Real-Time Face Detection , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[9] Hideki Hashimoto,et al. Real-time lane detection for autonomous vehicle , 2001, ISIE 2001. 2001 IEEE International Symposium on Industrial Electronics Proceedings (Cat. No.01TH8570).
[10] Antonio Torralba,et al. Statistical Context Priming for Object Detection , 2001, ICCV.
[11] Antonio Torralba,et al. Depth Estimation from Image Structure , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[12] Wei Zhang,et al. Video Compass , 2002, ECCV.
[13] Antonio Torralba,et al. Graphical Model For Recognizing Scenes and Objects. , 2003, NIPS 2003.
[14] Zhuowen Tu,et al. Image Parsing: Unifying Segmentation, Detection, and Recognition , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[15] Martial Hebert,et al. Discriminative random fields: a discriminative framework for contextual interaction in classification , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[16] 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..
[17] Antonio Torralba,et al. Contextual Influences on Saliency , 2004 .
[18] Yoram Singer,et al. Logistic Regression, AdaBoost and Bregman Distances , 2000, Machine Learning.
[19] Henry Schneiderman,et al. Learning a restricted Bayesian network for object detection , 2004, CVPR 2004.
[20] Martial Hebert,et al. A hierarchical field framework for unified context-based classification , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[21] Antonio Torralba,et al. Learning hierarchical models of scenes, objects, and parts , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[22] Alexei A. Efros,et al. Geometric context from a single image , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[23] Paulo R. S. Mendonça,et al. Bayesian autocalibration for surveillance , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[24] 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).
[25] Antonio Torralba,et al. LabelMe: A Database and Web-Based Tool for Image Annotation , 2008, International Journal of Computer Vision.