Search results for "John M. Winn"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
1	Theofanis Karaletsos, Oliver Stegle, Christine Dreyer, John M. Winn, Karsten M. Borgwardt	ShapePheno: unsupervised extraction of shape phenotypes from biological image collections.	Bioinformatics	2012	DBLP DOI BibTeX RDF
1	Pei Yin, Antonio Criminisi, John M. Winn, Irfan A. Essa	Bilayer Segmentation of Webcam Videos Using Tree-Based Classifiers.	IEEE Trans. Pattern Anal. Mach. Intell.	2011	DBLP DOI BibTeX RDF
1	Nicolas Heess, Nicolas Le Roux, John M. Winn	Weakly Supervised Learning of Foreground-Background Segmentation using Masked RBMs	CoRR	2011	DBLP BibTeX RDF
1	Nicolas Le Roux, Nicolas Heess, Jamie Shotton, John M. Winn	Learning a Generative Model of Images by Factoring Appearance and Shape.	Neural Computation	2011	DBLP DOI BibTeX RDF
1	Nicolas Heess, Nicolas Le Roux, John M. Winn	Weakly Supervised Learning of Foreground-Background Segmentation Using Masked RBMs.	ICANN	2011	DBLP DOI BibTeX RDF
1	Albert Montillo, Jamie Shotton, John M. Winn, Juan Eugenio Iglesias, Dimitris N. Metaxas, Antonio Criminisi	Entangled Decision Forests and Their Application for Semantic Segmentation of CT Images.	IPMI	2011	DBLP DOI BibTeX RDF
1	Oliver Stegle, Leopold Parts, Richard Durbin, John M. Winn	A Bayesian Framework to Account for Complex Non-Genetic Factors in Gene Expression Levels Greatly Increases Power in eQTL Studies.	PLoS Computational Biology	2010	DBLP DOI BibTeX RDF
1	Mark Everingham, Luc J. Van Gool, Christopher K. I. Williams, John M. Winn, Andrew Zisserman	The Pascal Visual Object Classes (VOC) Challenge.	International Journal of Computer Vision	2010	DBLP DOI BibTeX RDF
1	Kai Ni, Anitha Kannan, Antonio Criminisi, John M. Winn	Epitomic Location Recognition.	IEEE Trans. Pattern Anal. Mach. Intell.	2009	DBLP DOI BibTeX RDF
1	Jamie Shotton, John M. Winn, Carsten Rother, Antonio Criminisi	TextonBoost for Image Understanding: Multi-Class Object Recognition and Segmentation by Jointly Modeling Texture, Layout, and Context.	International Journal of Computer Vision	2009	DBLP DOI BibTeX RDF	Semantic image segmentation, Piecewise training, Segmentation, Context, Object recognition, Texture, Boosting, Layout, Conditional random field, Image understanding, Textons
1	Iain E. Buchan, John M. Winn, Christopher M. Bishop	A unified modeling approach to data-intensive healthcare.	The Fourth Paradigm	2009	DBLP BibTeX RDF
1	Kai Ni, Anitha Kannan, Antonio Criminisi, John M. Winn	Epitomic location recognition.	CVPR	2008	DBLP DOI BibTeX RDF
1	Oliver Stegle, Anitha Kannan, Richard Durbin, John M. Winn	Accounting for Non-genetic Factors Improves the Power of eQTL Studies.	RECOMB	2008	DBLP DOI BibTeX RDF
1	Tom Minka, John M. Winn	Gates.	NIPS	2008	DBLP BibTeX RDF
1	Jean-François Lalonde, Derek Hoiem, Alexei A. Efros, Carsten Rother, John M. Winn, Antonio Criminisi	Photo clip art.	ACM Trans. Graph.	2007	DBLP DOI BibTeX RDF	3D scene reasoning, blending and compositing, object insertion, image databases, computational photography
1	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	DBLP DOI BibTeX RDF
1	Pei Yin, Antonio Criminisi, John M. Winn, Irfan A. Essa	Tree-based Classifiers for Bilayer Video Segmentation.	CVPR	2007	DBLP DOI BibTeX RDF
1	Thomas Deselaers, Antonio Criminisi, John M. Winn, Ankur Agarwal	Incorporating On-demand Stereo for Real Time Recognition.	CVPR	2007	DBLP DOI BibTeX RDF
1	Derek Hoiem, Carsten Rother, John M. Winn	3D LayoutCRF for Multi-View Object Class Recognition and Segmentation.	CVPR	2007	DBLP DOI BibTeX RDF
1	Julia A. Lasserre, Anitha Kannan, John M. Winn	Hybrid learning of large jigsaws.	CVPR	2007	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	Ashish Kapoor, John M. Winn	Located Hidden Random Fields: Learning Discriminative Parts for Object Detection.	ECCV	2006	DBLP DOI BibTeX RDF
1	Jamie Shotton, John M. Winn, Carsten Rother, Antonio Criminisi	TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation.	ECCV	2006	DBLP DOI BibTeX RDF
1	Silvio Savarese, John M. Winn, Antonio Criminisi	Discriminative Object Class Models of Appearance and Shape by Correlatons.	CVPR	2006	DBLP DOI BibTeX RDF
1	Nebojsa Jojic, John M. Winn, C. Lawrence Zitnick	Escaping local minima through hierarchical model selection: Automatic object discovery, segmentation, and tracking in video.	CVPR	2006	DBLP DOI BibTeX RDF
1	John M. Winn, Jamie Shotton	The Layout Consistent Random Field for Recognizing and Segmenting Partially Occluded Objects.	CVPR	2006	DBLP DOI BibTeX RDF
1	Anitha Kannan, John M. Winn, Carsten Rother	Clustering appearance and shape by learning jigsaws.	NIPS	2006	DBLP BibTeX RDF
1	John M. Winn, Christopher M. Bishop	Variational Message Passing.	Journal of Machine Learning Research	2005	DBLP BibTeX RDF
1	John M. Winn, Antonio Criminisi, Thomas P. Minka	Object Categorization by Learned Universal Visual Dictionary.	ICCV	2005	DBLP DOI BibTeX RDF
1	John M. Winn, Nebojsa Jojic	LOCUS: Learning Object Classes with Unsupervised Segmentation.	ICCV	2005	DBLP DOI BibTeX RDF
1	John M. Winn, Andrew Blake	Generative Affine Localisation and Tracking.	NIPS	2004	DBLP BibTeX RDF
1	Christopher M. Bishop, David J. Spiegelhalter, John M. Winn	VIBES: A Variational Inference Engine for Bayesian Networks.	NIPS	2002	DBLP BibTeX RDF
1	Christopher M. Bishop, John M. Winn	Non-linear Bayesian Image Modelling.	ECCV	2000	DBLP DOI BibTeX RDF

Publications of "John M. Winn" ( http://dblp.L3S.de/Authors/John_M._Winn )