“Lattice Cut” - Constructing superpixels using layer constraints
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[1] Alexei A. Efros,et al. Putting Objects in Perspective , 2006, CVPR.
[2] Dorin Comaniciu,et al. Mean Shift: A Robust Approach Toward Feature Space Analysis , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[3] Yuri Boykov,et al. Globally optimal segmentation of multi-region objects , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[4] D. Schlesinger,et al. TRANSFORMING AN ARBITRARY MINSUM PROBLEM INTO A BINARY ONE , 2006 .
[5] Vladimir Kolmogorov,et al. An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision , 2004, IEEE Trans. Pattern Anal. Mach. Intell..
[6] 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.
[7] Andrew Blake,et al. "GrabCut" , 2004, ACM Trans. Graph..
[8] Alexei A. Efros,et al. Improving Spatial Support for Objects via Multiple Segmentations , 2007, BMVC.
[9] Hiroshi Ishikawa,et al. Exact Optimization for Markov Random Fields with Convex Priors , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[10] Olga Veksler,et al. Order-Preserving Moves for Graph-Cut-Based Optimization , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[11] Xiaodong Wu,et al. Optimal Surface Segmentation in Volumetric Images-A Graph-Theoretic Approach , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[12] Umar Mohammed,et al. Scene shape priors for superpixel segmentation , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[13] E. Schwartz,et al. Space-variant computer vision: a graph-theoretic approach , 2004 .
[14] Greg Mori,et al. Guiding model search using segmentation , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[15] B. S. Manjunath,et al. Probabilistic occlusion boundary detection on spatio-temporal lattices , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[16] Daniel P. Huttenlocher,et al. Efficient Graph-Based Image Segmentation , 2004, International Journal of Computer Vision.
[17] Zhuowen Tu,et al. Supervised Learning of Edges and Object Boundaries , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[18] Jitendra Malik,et al. From contours to regions: An empirical evaluation , 2009, CVPR.
[19] Jitendra Malik,et al. Using contours to detect and localize junctions in natural images , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[20] Olga Veksler,et al. Fast Approximate Energy Minimization via Graph Cuts , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[21] Umar Mohammed,et al. Superpixel lattices , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[22] Tsuhan Chen,et al. Learning class-specific affinities for image labelling , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[23] Pushmeet Kohli,et al. Robust Higher Order Potentials for Enforcing Label Consistency , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[24] 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.
[25] Alexei A. Efros,et al. Recovering Occlusion Boundaries from a Single Image , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[26] Jitendra Malik,et al. Normalized cuts and image segmentation , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[27] Peter Carr,et al. Minimizing energy functions on 4-connected lattices using elimination , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[28] Marie-Pierre Jolly,et al. Interactive Graph Cuts for Optimal Boundary and Region Segmentation of Objects in N-D Images , 2001, ICCV.
[29] Alexei A. Efros,et al. Using Multiple Segmentations to Discover Objects and their Extent in Image Collections , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[30] John F. Canny,et al. A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[31] Kenneth Rose,et al. Iterative decoding of two-dimensional hidden Markov models , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..