The Shape Boltzmann Machine: A strong model of object shape

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2012, Pages 406-413

  Eslami, S M Ali ^a   Heess, Nicolas ^b   Winn, John ^c  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

^c MICROSOFT RESEARCH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BACKGROUND CLUTTER; BOLTZMANN MACHINES; GLOBAL CONSTRAINTS; INPAINTING; LOCAL CONSTRAINTS; OBJECT BOUNDARIES; OBJECT DETECTION; OBJECT SHAPE; TRAINING EXAMPLE;

OBJECT RECOGNITION;

COMPUTER VISION;

EID: 84866707640     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2012.6247702     Document Type: Conference Paper

References (24)

1. B. Alexe, T. Deselaers, and V. Ferrari. ClassCut for unsupervised segmentation. In ECCV, pages 380-393, 2010. 1
2. D. Anguelov, P. Srinivasan, D. Koller, S. Thrun, J. Rodgers, and J. Davis. SCAPE: shape completion and animation of people. SIGGRAPH, 24(3):408-416, 2005. 1
3. E. Borenstein, E. Sharon, and S. Ullman. Combining Top-Down and Bottom-Up Segmentation. In CVPR Workshop on Perceptual Organization in Computer Vision, 2004. 1, 2, 4
4. Y. Boykov and M.-P. Jolly. Interactive Graph Cuts for Optimal Boundary & Region Segmentation of Objects in N-D images. In ICCV, pages 105-112, 2001. 1
5. T. Cemgil, W. Zajdel, and B. Krose. A Hybrid Graphical Model for Robust Feature Extraction from Video. In CVPR, pages 1158-1165, 2005. 1, 2, 4
6. T. F. Chan and J. Shen. Nontexture Inpainting by Curvature-Driven Diffusions. JVCI, 12(4):436-449, 2001. 1
7. T. Cootes, C. Taylor, D. H. Cooper, and J. Graham. Active shape models-their training and application. Computer Vision and Image Understanding, 61:38-59, 1995. 2
8. S. M. A. Eslami and C. K. I. Williams. Factored Shapes and Appearances for Parts-based Object Understanding. In BMVC, pages 18.1-18.12, 2011. 1, 2
9. L. Fei-Fei, R. Fergus, and P. Perona. Learning generative visual models from few training examples. In CVPR Workshop on Generative-Model Based Vision, 2004. 6, 7
10. Y. Freund and D. Haussler. Unsupervised learning of distributions on binary vectors using two layer networks. Technical Report UCSC-CRL-94-25, UCSC, 1994. 2, 3
11. J. Friedman, T. Hastie, and R. Tibshirani. Regularization Paths for Generalized Linear Models via Coordinate Descent. JSS, 33(1):1-22, 2010. 7
12. D. Gavrila. An Exemplar-Based Approach to Hierarchical Shape Matching. PAMI, 29:1408-1421, 2007. 1, 2
13. N. Jojic and Y. Caspi. Capturing Image Structure with Probabilistic Index Maps. In CVPR, pages 212-219, 2004. 1
14. N. Jojic, A. Perina, M. Cristani, V. Murino, and B. Frey. Stel component analysis: Modeling spatial correlations in image class structure. In CVPR, pages 2044-2051, 2009. 1
15. P. Kumar, P. Torr, and A. Zisserman. OBJ CUT. In CVPR, pages 18-25, 2005. 2
16. H. Lee, R. Grosse, R. Ranganath, and A. Y. Ng. Convolutional DBNs for Scalable Unsupervised Learning of Hierarchical Representations. In ICML, pages 609-616, 2009. 3
17. S. Nowozin and C. Lampert. Global connectivity potentials for random field models. In CVPR, pages 818-825, 2009. 1
18. M. Ranzato, V. Mnih, and G. E. Hinton. How to Generate Realistic Images Using Gated MRFs. In NIPS, 2010. 3
19. C. Rother, P. Kohli, W. Feng, and J. Jia. Minimizing sparse higher order energy functions of discrete variables. In CVPR, pages 1382-1389, 2009. 1, 2
20. C. Rother, V. Kolmogorov, and A. Blake. "GrabCut": interactive foreground extraction using iterated graph cuts. SIGGRAPH, 23:309-314, 2004. 1
21. N. L. Roux, N. Heess, J. Shotton, and J. Winn. Learning a Generative Model of Images by Factoring Appearance and Shape. Neural Computation, 23(3):593-650, 2011. 1, 8
22. R. Salakhutdinov and G. Hinton. Deep Boltzmann Machines. In AISTATS, volume 5, pages 448-455, 2009. 1, 2, 3, 4
23. T. Tieleman. Training restricted Boltzmann machines using approximations to the likelihood gradient. In ICML, pages 1064-1071, 2008. 3, 4
24. J. Winn and N. Jojic. LOCUS: Learning object classes with unsupervised segmentation. In ICCV, 2005. 1