| 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 | 23567 | 2010 |
| 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 | 11344 | 2015 |
| 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 | 1611 | 2006 |
| 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 | 1414 | 2009 |
| 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 | 1171 | 2005 |
| 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 | 1009 | 2012 |
| Variational message passing. J Winn, CM Bishop, T Jaakkola Journal of Machine Learning Research 6 (4), 2005 | 948 | 2005 |
| Locus: Learning object classes with unsupervised segmentation J Winn, N Jojic Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 1 …, 2005 | 623 | 2005 |
| 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 | 543 | 2010 |
| 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 | 515 | 2010 |
| 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 | 375 | 2006 |
| 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 | 324 | 2007 |
| 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 | 282 | 2006 |
| 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 | 267 | 2014 |
| Probabilistic parsing JM Winn, T Minka US Patent 9,251,467, 2016 | 238 | 2016 |
| 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 | 197 | 2007 |
| 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 | 186 | 2013 |
| 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 | 183 | 2007 |
| 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 | 173 | 2011 |
| 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 | 168 | 2013 |
Chris WilliamsProfessor of Machine Learning, University of EdinburghVerified email at inf.ed.ac.uk
