| 2015 | AISTATS | Consensus Message Passing for Layered Graphical Models. | Varun Jampani, S. M. Ali Eslami, Daniel Tarlow, Pushmeet Kohli, John M. Winn |
| 2013 | AISTATS | Structural Expectation Propagation (SEP): Bayesian structure learning for networks with latent variables. | Nevena Lazic, Christopher M. Bishop, John M. Winn |
| 2012 | CVPR | The Shape Boltzmann Machine: A strong model of object shape. | S. M. Ali Eslami, Nicolas Heess, John M. Winn |
| 2011 | ICANN | Weakly Supervised Learning of Foreground-Background Segmentation Using Masked RBMs. | Nicolas Heess, Nicolas Le Roux, John M. Winn |
| 2008 | CVPR | Epitomic location recognition. | Kai Ni, Anitha Kannan, Antonio Criminisi, John M. Winn |
| 2008 | RECOMB | Accounting for Non-genetic Factors Improves the Power of eQTL Studies. | Oliver Stegle, Anitha Kannan, Richard Durbin, John M. Winn |
| 2007 | CVPR | Incorporating On-demand Stereo for Real Time Recognition. | Thomas Deselaers, Antonio Criminisi, John M. Winn, Ankur Agarwal |
| 2007 | CVPR | 3D LayoutCRF for Multi-View Object Class Recognition and Segmentation. | Derek Hoiem, Carsten Rother, John M. Winn |
| 2007 | CVPR | Hybrid learning of large jigsaws. | Julia A. Lasserre, Anitha Kannan, John M. Winn |
| 2007 | CVPR | Tree-based Classifiers for Bilayer Video Segmentation. | Pei Yin, Antonio Criminisi, John M. Winn, Irfan A. Essa |
| 2007 | ISMB | Bayesian association of haplotypes and non-genetic factors to regulatory and phenotypic variation in human populations. | Jim C. Huang, Anitha Kannan, John M. Winn |
| 2006 | CVPR | Escaping local minima through hierarchical model selection: Automatic object discovery, segmentation, and tracking in video. | Nebojsa Jojic, John M. Winn, C. Lawrence Zitnick |
| 2006 | CVPR | Discriminative Object Class Models of Appearance and Shape by Correlatons. | Silvio Savarese, John M. Winn, Antonio Criminisi |
| 2006 | CVPR | The Layout Consistent Random Field for Recognizing and Segmenting Partially Occluded Objects. | John M. Winn, Jamie Shotton |
| 2006 | ECCV | Located Hidden Random Fields: Learning Discriminative Parts for Object Detection. | Ashish Kapoor, John M. Winn |
| 2006 | ECCV | Untitled record | Jamie Shotton, John M. Winn, Carsten Rother, Antonio Criminisi |
| 2005 | ICCV | Object Categorization by Learned Universal Visual Dictionary. | John M. Winn, Antonio Criminisi, Thomas P. Minka |
| 2005 | ICCV | LOCUS: Learning Object Classes with Unsupervised Segmentation. | John M. Winn, Nebojsa Jojic |
| 2003 | AISTATS | Structured Variational Distributions in VIBES. | Christopher M. Bishop, John M. Winn |
| 2000 | ECCV | Non-linear Bayesian Image Modelling. | Christopher M. Bishop, John M. Winn |