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Publications of Author

1. Nebojsa Jojic, John M. Winn, Larry Zitnick
   Escaping local minima through hierarchical model selection: Automatic object discovery, segmentation, and tracking in video. [Citation Graph (0, 0)][DBLP]
   CVPR (1), 2006, pp:117-124 [Conf]
   
2. Silvio Savarese, John M. Winn, Antonio Criminisi
   Discriminative Object Class Models of Appearance and Shape by Correlatons. [Citation Graph (0, 0)][DBLP]
   CVPR (2), 2006, pp:2033-2040 [Conf]
   
3. John M. Winn, Jamie Shotton
   The Layout Consistent Random Field for Recognizing and Segmenting Partially Occluded Objects. [Citation Graph (0, 0)][DBLP]
   CVPR (1), 2006, pp:37-44 [Conf]
   
4. Christopher M. Bishop, John M. Winn
   Non-linear Bayesian Image Modelling. [Citation Graph (0, 0)][DBLP]
   ECCV (1), 2000, pp:3-17 [Conf]
   
5. Ashish Kapoor, John Winn
   Located Hidden Random Fields: Learning Discriminative Parts for Object Detection. [Citation Graph (0, 0)][DBLP]
   ECCV (3), 2006, pp:302-315 [Conf]
   
6. Jamie Shotton, John M. Winn, Carsten Rother, Antonio Criminisi
   TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation. [Citation Graph (0, 0)][DBLP]
   ECCV (1), 2006, pp:1-15 [Conf]
   
7. John M. Winn, Antonio Criminisi, Thomas P. Minka
   Object Categorization by Learned Universal Visual Dictionary. [Citation Graph (0, 0)][DBLP]
   ICCV, 2005, pp:1800-1807 [Conf]
   
8. John M. Winn, Nebojsa Jojic
   LOCUS: Learning Object Classes with Unsupervised Segmentation. [Citation Graph (0, 0)][DBLP]
   ICCV, 2005, pp:756-763 [Conf]
   
9. Christopher M. Bishop, David J. Spiegelhalter, John M. Winn
   VIBES: A Variational Inference Engine for Bayesian Networks. [Citation Graph (0, 0)][DBLP]
   NIPS, 2002, pp:777-784 [Conf]
   
10. John M. Winn, Andrew Blake
    Generative Affine Localisation and Tracking. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
    
11. John M. Winn, Christopher M. Bishop
    Variational Message Passing. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2005, v:6, n:, pp:661-694 [Journal]
    
12. Derek Hoiem, Carsten Rother, John M. Winn
    3D LayoutCRF for Multi-View Object Class Recognition and Segmentation. [Citation Graph (0, 0)][DBLP]
    CVPR, 2007, pp:- [Conf]
    
13. Thomas Deselaers, Antonio Criminisi, John M. Winn, Ankur Agarwal
    Incorporating On-demand Stereo for Real Time Recognition. [Citation Graph (0, 0)][DBLP]
    CVPR, 2007, pp:- [Conf]
    
14. Pei Yin, Antonio Criminisi, John M. Winn, Irfan A. Essa
    Tree-based Classifiers for Bilayer Video Segmentation. [Citation Graph (0, 0)][DBLP]
    CVPR, 2007, pp:- [Conf]
    
15. Julia A. Lasserre, Anitha Kannan, John M. Winn
    Hybrid learning of large jigsaws. [Citation Graph (0, 0)][DBLP]
    CVPR, 2007, pp:- [Conf]
    
16. Anitha Kannan, John M. Winn, Carsten Rother
    Clustering appearance and shape by learning jigsaws. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:657-664 [Conf]
    
17. Jean-François Lalonde, Derek Hoiem, Alexei A. Efros, Carsten Rother, John M. Winn, Antonio Criminisi
    Photo clip art. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Graph., 2007, v:26, n:3, pp:3- [Journal]
    
18. 
    Epitomic location recognition. [Citation Graph (, )][DBLP]
    
    
19. 
    Bayesian association of haplotypes and non-genetic factors to regulatory and phenotypic variation in human populations. [Citation Graph (, )][DBLP]
    
    
20. 
    Gates. [Citation Graph (, )][DBLP]
    
    
21. 
    Accounting for Non-genetic Factors Improves the Power of eQTL Studies. [Citation Graph (, )][DBLP]
    
    
22. 
    C-Slate: A Multi-Touch and Object Recognition System for Remote Collaboration using Horizontal Surfaces. [Citation Graph (, )][DBLP]