John M. Winn

2008
22	EE	Kai Ni, Anitha Kannan, Antonio Criminisi, John M. Winn: Epitomic location recognition. CVPR 2008
21	EE	Tom Minka, John M. Winn: Gates. NIPS 2008: 1073-1080
20	EE	Oliver Stegle, Anitha Kannan, Richard Durbin, John M. Winn: Accounting for Non-genetic Factors Improves the Power of eQTL Studies. RECOMB 2008: 411-422
2007
19	EE	Derek Hoiem, Carsten Rother, John M. Winn: 3D LayoutCRF for Multi-View Object Class Recognition and Segmentation. CVPR 2007
18	EE	Julia A. Lasserre, Anitha Kannan, John M. Winn: Hybrid learning of large jigsaws. CVPR 2007
17	EE	Thomas Deselaers, Antonio Criminisi, John M. Winn, Ankur Agarwal: Incorporating On-demand Stereo for Real Time Recognition. CVPR 2007
16	EE	Pei Yin, Antonio Criminisi, John M. Winn, Irfan A. Essa: Tree-based Classifiers for Bilayer Video Segmentation. CVPR 2007
15	EE	Jim C. Huang, Anitha Kannan, John M. Winn: Bayesian association of haplotypes and non-genetic factors to regulatory and phenotypic variation in human populations. ISMB/ECCB (Supplement of Bioinformatics) 2007: 212-221
14	EE	Shahram Izadi, Ankur Agarwal, Antonio Criminisi, John M. Winn, Andrew Blake, Andrew W. Fitzgibbon: C-Slate: A Multi-Touch and Object Recognition System for Remote Collaboration using Horizontal Surfaces. Tabletop 2007: 3-10
13	EE	Jean-François Lalonde, Derek Hoiem, Alexei A. Efros, Carsten Rother, John M. Winn, Antonio Criminisi: Photo clip art. ACM Trans. Graph. 26(3): 3 (2007)
2006
12	EE	Nebojsa Jojic, John M. Winn, Larry Zitnick: Escaping local minima through hierarchical model selection: Automatic object discovery, segmentation, and tracking in video. CVPR (1) 2006: 117-124
11	EE	John M. Winn, Jamie Shotton: The Layout Consistent Random Field for Recognizing and Segmenting Partially Occluded Objects. CVPR (1) 2006: 37-44
10	EE	Silvio Savarese, John M. Winn, Antonio Criminisi: Discriminative Object Class Models of Appearance and Shape by Correlatons. CVPR (2) 2006: 2033-2040
9	EE	Jamie Shotton, John M. Winn, Carsten Rother, Antonio Criminisi: TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation. ECCV (1) 2006: 1-15
8	EE	Ashish Kapoor, John M. Winn: Located Hidden Random Fields: Learning Discriminative Parts for Object Detection. ECCV (3) 2006: 302-315
7	EE	Anitha Kannan, John M. Winn, Carsten Rother: Clustering appearance and shape by learning jigsaws. NIPS 2006: 657-664
2005
6	EE	John M. Winn, Antonio Criminisi, Thomas P. Minka: Object Categorization by Learned Universal Visual Dictionary. ICCV 2005: 1800-1807
5	EE	John M. Winn, Nebojsa Jojic: LOCUS: Learning Object Classes with Unsupervised Segmentation. ICCV 2005: 756-763
4	EE	John M. Winn, Christopher M. Bishop: Variational Message Passing. Journal of Machine Learning Research 6: 661-694 (2005)
2004
3	EE	John M. Winn, Andrew Blake: Generative Affine Localisation and Tracking. NIPS 2004
2002
2	EE	Christopher M. Bishop, David J. Spiegelhalter, John M. Winn: VIBES: A Variational Inference Engine for Bayesian Networks. NIPS 2002: 777-784
2000
1	EE	Christopher M. Bishop, John M. Winn: Non-linear Bayesian Image Modelling. ECCV (1) 2000: 3-17

Coauthor Index

1	Ankur Agarwal	[14] [17]
2	Christopher M. Bishop	[1] [2] [4]
3	Andrew Blake	[3] [14]
4	Antonio Criminisi	[6] [9] [10] [13] [14] [16] [17] [22]
5	Thomas Deselaers	[17]
6	Richard Durbin	[20]
7	Alexei A. Efros	[13]
8	Irfan A. Essa	[16]
9	Andrew W. Fitzgibbon	[14]
10	Derek Hoiem	[13] [19]
11	Jim C. Huang	[15]
12	Shahram Izadi	[14]
13	Nebojsa Jojic	[5] [12]
14	Anitha Kannan	[7] [15] [18] [20] [22]
15	Ashish Kapoor	[8]
16	Jean-François Lalonde	[13]
17	Julia A. Lasserre	[18]
18	Thomas P. Minka (Tom Minka)	[6] [21]
19	Kai Ni	[22]
20	Carsten Rother	[7] [9] [13] [19]
21	Silvio Savarese	[10]
22	Jamie Shotton	[9] [11]
23	David J. Spiegelhalter	[2]
24	Oliver Stegle	[20]
25	Pei Yin	[16]
26	Larry Zitnick	[12]

Colors in the list of coauthors