Winn, John M.

17 publications

AISTATS 2015 Consensus Message Passing for Layered Graphical Models Varun Jampani, S. M. Ali Eslami, Daniel Tarlow, Pushmeet Kohli, John M. Winn

AISTATS 2013 Structural Expectation Propagation (SEP): Bayesian Structure Learning for Networks with Latent Variables Nevena Lazic, Christopher M. Bishop, John M. Winn

CVPR 2012 The Shape Boltzmann Machine: A Strong Model of Object Shape S. M. Ali Eslami, Nicolas Heess, John M. Winn

CVPR 2008 Epitomic Location Recognition Kai Ni, Anitha Kannan, Antonio Criminisi, John M. Winn

CVPR 2007 3D LayoutCRF for Multi-View Object Class Recognition and Segmentation Derek Hoiem, Carsten Rother, John M. Winn

CVPR 2007 Hybrid Learning of Large Jigsaws Julia A. Lasserre, Anitha Kannan, John M. Winn

CVPR 2007 Incorporating On-Demand Stereo for Real Time Recognition Thomas Deselaers, Antonio Criminisi, John M. Winn, Ankur Agarwal

CVPR 2007 Tree-Based Classifiers for Bilayer Video Segmentation Pei Yin, Antonio Criminisi, John M. Winn, Irfan A. Essa

CVPR 2006 Discriminative Object Class Models of Appearance and Shape by Correlatons Silvio Savarese, John M. Winn, Antonio Criminisi

CVPR 2006 Escaping Local Minima Through Hierarchical Model Selection: Automatic Object Discovery, Segmentation, and Tracking in Video Nebojsa Jojic, John M. Winn, C. Lawrence Zitnick

ECCV 2006 Located Hidden Random Fields: Learning Discriminative Parts for Object Detection Ashish Kapoor, John M. Winn

ECCV 2006 TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-Class Object Recognition and Segmentation Jamie Shotton, John M. Winn, Carsten Rother, Antonio Criminisi

CVPR 2006 The Layout Consistent Random Field for Recognizing and Segmenting Partially Occluded Objects John M. Winn, Jamie Shotton

ICCV 2005 LOCUS: Learning Object Classes with Unsupervised Segmentation John M. Winn, Nebojsa Jojic

ICCV 2005 Object Categorization by Learned Universal Visual Dictionary John M. Winn, Antonio Criminisi, Thomas P. Minka

AISTATS 2003 Structured Variational Distributions in VIBES Christopher M. Bishop, John M. Winn

ECCV 2000 Non-Linear Bayesian Image Modelling Christopher M. Bishop, John M. Winn