Learning object segmentation from video data
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[1] Alan L. Yuille,et al. Fundamental bounds on edge detection: an information theoretic evaluation of different edge cues , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).
[2] S. Palmer. Vision Science : Photons to Phenomenology , 1999 .
[3] Jan-Olof Eklundh,et al. Probabilistic and Voting Approaches to Cue Integration for Figure-Ground Segmentation , 2002, ECCV.
[4] Shimon Ullman,et al. Structural Saliency: The Detection Of Globally Salient Structures using A Locally Connected Network , 1988, [1988 Proceedings] Second International Conference on Computer Vision.
[5] John F. Canny,et al. A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[6] Alan L. Yuille,et al. Statistical Edge Detection: Learning and Evaluating Edge Cues , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[7] Martin J. Wainwright,et al. Tree-reweighted belief propagation algorithms and approximate ML estimation by pseudo-moment matching , 2003, AISTATS.
[8] W. Eric L. Grimson,et al. Adaptive background mixture models for real-time tracking , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).
[9] Pietro Perona,et al. Unsupervised Learning of Models for Recognition , 2000, ECCV.
[10] Yair Weiss,et al. Interpreting Images by Propagating Bayesian Beliefs , 1996, NIPS.
[11] Pedro F. Felzenszwalb,et al. Efficiently computing a good segmentation , 1998 .
[12] Alan L. Yuille,et al. Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation , 1996, IEEE Trans. Pattern Anal. Mach. Intell..
[13] Christopher K. I. Williams,et al. Combining Belief Networks and Neural Networks for Scene Segmentation , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[14] 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.
[15] Shimon Ullman,et al. Class-Specific, Top-Down Segmentation , 2002, ECCV.
[16] E. Spelke,et al. Object perception, object-directed action, and physical knowledge in infancy , 1995 .
[17] Martin J. Wainwright,et al. Tree-based reparameterization for approximate inference on loopy graphs , 2001, NIPS.
[18] Donald Geman,et al. Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images , 1984 .
[19] William T. Freeman,et al. Learning low-level vision , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[20] Takeo Kanade,et al. A statistical method for 3D object detection applied to faces and cars , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[21] Jitendra Malik,et al. A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[22] Paul M. Fitzpatrick,et al. Developmentally deep perceptual system for a humanoid robot , 2003 .
[23] Stig K. Andersen,et al. Probabilistic reasoning in intelligent systems: Networks of plausible inference , 1991 .
[24] Edward H. Adelson,et al. Belief Propagation and Revision in Networks with Loops , 1997 .
[25] T Poggio,et al. Parallel integration of vision modules. , 1988, Science.
[26] P. F. Felzenzwalb. Efficiently computing a good segmentation , 1998 .
[27] Jitendra Malik,et al. Normalized cuts and image segmentation , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.