[Univ of Cambridge] [Dept of Engineering]

Oliver Williams
Home
Publications
Thesis
Publications

2006
O.Williams: A Switched Gaussian Process for Estimating Disparity and Segmentation in Binocular Stereo. NIPS 2006 (to appear)

O.Williams and A.Fitzgibbon:
Gaussian Process Implicit Surfaces. Gaussian Processes in Practice, Bletchley Park, UK

O.Williams, A.Blake and R.Cipolla: Sparse and Semi-supervised Visual Mapping with the S3GP. Proc. CVPR 2006, New York
© 2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.


2005
O.Williams: Bayesian Learning for Efficient Visual Inference. Thesis, University of Cambridge

O.Williams, M.Isard and J.MacCormick: Estimating Disparity and Occlusions in Stereo Video Sequences. Proc CVPR 2005, San Diego
© 2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

O.Williams, A.Blake and R.Cipolla: Sparse Bayesian Regression for Efficient Visual Tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Pages 1292-1304 Volume 27, Number 8 August 2005
© 2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.


2004
O.Williams, A.Blake and R.Cipolla: The Variational Ising Classifier (VIC) algorithm for coherently contaminated data. Advances in Neural Information Processing Systems 17

2003
O.Williams: Statistical Methods for the Visual Estimation of State First year PhD report

O.Williams, A.Blake and R.Cipolla: A Sparse Probabilistic Learning Algorithm for Real-Time Tracking. Proc. Intl. Conf. Computer Vision, Pages 353-360, Nice, 2003
© 2003 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

2002
O.Williams: Guidence of a Mobile Robot using Computer Vision over a distributed system MEng Dissertation