Publications

2008	K. Ni, A. Kannan, A. Criminisi and J. Winn Epitomic location recognition To appear in Proc. IEEE Computer Vision and Pattern Recognition (CVPR) 2008, Anchorage (Oral presentation)
	O. Stegle, A. Kannan, R. Durbin and J. Winn Accounting for non-genetic factors improves the power of eQTL studies To appear in Proc. Twelfth Annual Inter. Conf. on Research in Computational Molecular Biology (RECOMB), 2008.

2007	J. Huang, A. Kannan, J. Winn Bayesian association of haplotypes and non-genetic factors to regulatory and phenotypic variation in human populations Proc. of Intelligent Systems for Molecular Biology (ISMB) 2007, Vienna
	S. Izadi, A. Agarwal, A. Criminisi, J. Winn, A. Blake, A. Fitzgibbon. C-Slate: Exploring Remote Collaboration on Horizontal Multi-touch Surfaces [pdf] [project page] Proc. IEEE Tabletop, 2007, Newport, RI, USA.
	J. F. Lalonde, D. Hoiem, A. Efros, J. Winn, C. Rother and A. Criminisi. Photo Clip Art [Project page with paper and video] ACM Transactions on Graphics (SIGGRAPH 2007), Vol 26. No. 3, 2007 San Diego, US.
	D. Hoiem, Carsten Rother, J. Winn 3D LayoutCRF for Multi-View Object Class Recognition and Segmentation [pdf] Proc. IEEE Computer Vision and Pattern Recognition (CVPR) 2007 Minneapolis, US.
	J. Lasserre, A. Kannan, J. Winn Hybrid Learning of Large Jigsaws [pdf] Proc. IEEE Computer Vision and Pattern Recognition (CVPR) 2007 Minneapolis, US.
	P. Yin, A. Criminisi, J. Winn, I. Essa Tree-based Classifiers for Bilayer Video Segmentation [pdf] Proc. IEEE Computer Vision and Pattern Recognition (CVPR) 2007 Minneapolis, US.
	T. Deselaers, A. Criminisi, J. Winn, A. Agarwal Incorporating On-demand Stereo for Real Time Recognition [pdf] Proc. IEEE Computer Vision and Pattern Recognition (CVPR) 2007 Minneapolis, US. View a video of this system in action.
	J. Shotton, J. Winn, C. Rother and A. Criminisi TextonBoost for Image Understanding: Multi-Class Object Recognition and Segmentation by Jointly Modeling Appearance, Shape and Context. Invited submission to appear in International Journal on Computer Vision (IJCV), special issue

2006	A. Kannan, J. Winn and C. Rother Clustering appearance and shape by learning jigsaws [pdf] In Advances in Neural Information Processing Systems, Volume 19, 2006. (Oral presentation)
	J. Winn and J. Shotton The Layout Consistent Random Field for Recognizing and Segmenting Partially Occluded Objects [pdf] Proc. IEEE Computer Vision and Pattern Recognition (CVPR), New York, 2006. (Oral presentation)
	S. Savarese, J. Winn and A. Criminisi Discriminative Object Class Models of Appearance and Shape by Correlatons [pdf] Proc. IEEE Computer Vision and Pattern Recognition (CVPR), New York, 2006.
	N. Jojic, J. Winn and L. Zitnick Escaping Local Minima through Hierarchical Model Selection: Automatic Object Discovery, Segmentation, and Tracking in Video [pdf] Proc. IEEE Computer Vision and Pattern Recognition (CVPR), New York, 2006.
	J. Winn and A. Criminisi Object Class Recognition at a Glance [pdf] Video track: [download video (wmv - 23MB)] Proc. IEEE Computer Vision and Pattern Recognition (CVPR), New York, 2006.
	J. Shotton, J. Winn, C. Rother and A. Criminisi TextonBoost: Joint Appearance, Shape and Context Modeling for Mulit-Class Object Recognition and Segmentation [pdf] European Conference on Computer Vision (ECCV) , Graz, Austria, 2006. (Oral presentation)
	A. Kapoor and J. Winn Located Hidden Random Fields: Learning Discriminative Parts for Object Detection [pdf] European Conference on Computer Vision (ECCV) , Graz, Austria, 2006.

2005	J. Winn and N. Joijic. LOCUS: Learning Object Classes with Unsupervised Segmentation [pdf] Proc. IEEE Intl. Conf. on Computer Vision (ICCV), Beijing 2005. View online summary of this paper.
	J. Winn, A. Criminisi and T. Minka. Object Categorization by Learned Universal Visual Dictionary [pdf] Proc. IEEE Intl. Conf. on Computer Vision (ICCV), Beijing 2005.
	J. Winn and C. Bishop Variational Message Passing [ps.gz] [pdf] Journal of Machine Learning Research , Volume 6, pp. 661-694, 2005.

2004	J. Winn and A. Blake Generative Affine Localisation and Tracking [ps] [pdf] Advances in Neural Information Processing Systems, Volume 17, pp. 1505-1512, 2004. View videos from this paper.

2003	J. Winn Variational Message Passing and its Applications [Thesis download] Ph.D. Thesis, Department of Physics, University of Cambridge, 2003.
	J. Winn and C. Bishop Structured Variational Distributions in VIBES [ps.gz] In C. M. Bishop and B. Frey (Eds.), Proceedings Artificial Intelligence and Statistics , Florida, 2003.

2002	J. Winn, D. Spiegelhalter and C. Bishop VIBES: A Variational Inference Engine for Bayesian Networks [ps.gz] In S. Becker, S. Thrun, and K. Obermeyer (Eds.), Advances in Neural Information Processing Systems , Volume 15, pp. 793�800, 2002.

2000	J. Winn and C. Bishop Non-linear Bayesian Image Modeling [ps.gz] [pdf] In Proceedings Sixth European Conference on Computer Vision, Dublin, Volume 1, pp. 3�17. Springer, 2000. (Recipient of the ECCV 2000 Best Paper Prize)