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John Winn
John Winn
Principal Researcher, Machine Learning Group, Microsoft Research Cambridge
Подтвержден адрес электронной почты в домене microsoft.com - Главная страница
Название
Процитировано
Процитировано
Год
The Pascal Visual Object Classes (VOC) Challenge
M Everingham, L Van Gool, CKI Williams, J Winn, A Zisserman
International journal of computer vision 88, 303-338, 2010
240942010
The Pascal Visual Object Classes Challenge: A Retrospective
M Everingham, SMA Eslami, L Van Gool, CKI Williams, J Winn, ...
International journal of computer vision 111, 98-136, 2015
115722015
TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation
J Shotton, J Winn, C Rother, A Criminisi
Computer Vision–ECCV 2006: 9th European Conference on Computer Vision, Graz …, 2006
16182006
Textonboost for image understanding: Multi-class object recognition and segmentation by jointly modeling texture, layout, and context
J Shotton, J Winn, C Rother, A Criminisi
International journal of computer vision 81, 2-23, 2009
14192009
Object categorization by learned universal visual dictionary
J Winn, A Criminisi, T Minka
Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 2 …, 2005
11742005
Using probabilistic estimation of expression residuals (PEER) to obtain increased power and interpretability of gene expression analyses
O Stegle, L Parts, M Piipari, J Winn, R Durbin
Nature protocols 7 (3), 500-507, 2012
10282012
Variational message passing.
J Winn, CM Bishop, T Jaakkola
Journal of Machine Learning Research 6 (4), 2005
9572005
Locus: Learning object classes with unsupervised segmentation
J Winn, N Jojic
Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 1 …, 2005
6322005
A Bayesian framework to account for complex non-genetic factors in gene expression levels greatly increases power in eQTL studies
O Stegle, L Parts, R Durbin, J Winn
PLoS computational biology 6 (5), e1000770, 2010
5512010
Beyond atopy: multiple patterns of sensitization in relation to asthma in a birth cohort study
A Simpson, VYF Tan, J Winn, M Svensen, CM Bishop, DE Heckerman, ...
American journal of respiratory and critical care medicine 181 (11), 1200-1206, 2010
5182010
The layout consistent random field for recognizing and segmenting partially occluded objects
J Winn, J Shotton
2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006
3772006
Photo clip art
JF Lalonde, D Hoiem, AA Efros, C Rother, J Winn, A Criminisi
ACM transactions on graphics (TOG) 26 (3), 3-es, 2007
3282007
Discriminative object class models of appearance and shape by correlatons
S Savarese, J Winn, A Criminisi
2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006
2822006
The shape boltzmann machine: a strong model of object shape
SMA Eslami, N Heess, CKI Williams, J Winn
International journal of computer vision 107, 155-176, 2014
2672014
Probabilistic parsing
JM Winn, T Minka
US Patent 9,251,467, 2016
2292016
3d layoutcrf for multi-view object class recognition and segmentation
D Hoiem, C Rother, J Winn
2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007
1972007
Multiple atopy phenotypes and their associations with asthma: similar findings from two birth cohorts
N Lazic, G Roberts, A Custovic, D Belgrave, CM Bishop, J Winn, JA Curtin, ...
Allergy 68 (6), 764-770, 2013
1872013
Tree-based classifiers for bilayer video segmentation
P Yin, A Criminisi, J Winn, I Essa
2007 IEEE conference on computer vision and pattern recognition, 1-8, 2007
1832007
Entangled decision forests and their application for semantic segmentation of CT images
A Montillo, J Shotton, J Winn, JE Iglesias, D Metaxas, A Criminisi
Information Processing in Medical Imaging: 22nd International Conference …, 2011
1732011
Decision jungles: Compact and rich models for classification
J Shotton, T Sharp, P Kohli, S Nowozin, J Winn, A Criminisi
Advances in neural information processing systems 26, 2013
1692013
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