Publications by John MacCormick

Book

• Stochastic Algorithms for Visual Tracking.
  J. MacCormick.
  Springer, 2002.

Peer-reviewed conference papers

• The Benefits of Pairing by Ability.
  Grant Braught, John MacCormick, and Tim Wahls.
  In Proc. ACM SIGCSE, 2010.

• Fast Superpixels for Video Analysis.
  Fabio Drucker and John MacCormick.
  In Proc. IEEE Workshop on Motion and Video Computing (WMVC), 2009.

• Continuously-adaptive discretization for message-passing algorithms.
  Kannan Achan, Michael Isard, John MacCormick.
  In Proc. Neural Information Processing Systems (NIPS), 2008.

• CT-NOR: Representing and Reasoning About Events in Continuous Time.
  Aleksandr Simma, Moises Goldszmidt, John MacCormick, Paul Barham, Richard Black, Rebecca Isaacs, Richard Mortier.
  In Proc. Uncertainty in Artificial Intelligence (UAI), 2008.

• Experiences with Formal Specification of Fault-Tolerant File Systems.
  Roxana Geambasu, Andrew Birrell, and John MacCormick.
  In Proc. Dependable Computing and Communications Symposium (DCCS), 2008.

• Discovering Dependencies for Network Management.
  Paramvir Bahl, Paul Barham, Richard Black, Ranveer Chandra, Moises Goldszmidt, Rebecca Isaacs, Srikanth Kandula, Lun Li, John MacCormick, David A. Maltz, Richard Mortier, Mike Wawrzoniak, Ming Zhang.
  In HotNets'06.

• Dense Motion and Disparity Estimation via Loopy Belief Propagation.
  Michael Isard and John MacCormick.
  In ACCV 2006, Hyderabad, India, January 2006.

• Estimating Disparity and Occlusions in Stereo Video Sequences.
  Oliver Williams, Michael Isard and John MacCormick.
  In CVPR 2005, San Diego, USA, June 2005.

• Boxwood: Abstractions as the Foundation for Storage Infrastructure.
  John MacCormick, Nick Murphy, Marc Najork, Chandramohan A. Thekkath, Lidong Zhou
  In OSDI 2004, pages 105-120.

• Computational and performance issues in Coliseum, an immersive videoconferencing system.
  H. Harlyn Baker, Nina Bhatti, Donald Tanguay, Irwin Sobel, Dan Gelb, Michael E. Goss, John MacCormick, W. Bruce Culbertson, and Thomas Malzbender.
  In Proc. 11th ACM Int. Conf. on Multimedia, 2003.

• Block-based security for network-attached disks.
  M. Ji, M. Lillibridge, J. MacCormick, E. Oertli, M. Aguilera, D. Andersen, M. Burrows, T. Mann, and C. Thekkath.
  In Proc. Usenix Conf. on File and Storage Technology (FAST'03), pages 159-174, 2003.

• Automatic camera calibration from a single Manhattan image.
  M. Isard and J. MacCormick.
  In European Conf. Computer Vision, 2002.

• Myriad: Cost-effective disaster tolerance.
  F. Chang, M. Ji, S. Leung, J. MacCormick, S. Perl, and L. Zhang.
  In Usenix Conf. on File and Storage Technology (FAST'02), pages 103-116, 2002.

• BraMBLe: A Bayesian Multiple-Blob Tracker.
  M. Isard and J. MacCormick.
  In Proc. 8th Int. Conf. Computer Vision, 2001.

• Learning switching linear models of human motion.
  V. Pavlovic, J. Rehg, and J. MacCormick.
  In Neural Information Processing Systems, 2000.

• Partitioned sampling, articulated objects, and interface-quality hand tracking.
  J. MacCormick and M. Isard.
  In Proc European Conf. Computer Vision, 2000.

• Impact of dynamic model learning on classification of human motion.
  V. Pavlovic, J. Rehg, and J. MacCormick.
  In IEEE Conf. Computer Vision and Pattern Recognition, 2000.

• A probabilistic exclusion principle for tracking multiple objects.
  J. MacCormick and A. Blake.
  In Proc. 7th Intl. Conf. Computer Vision, pages 572-587, 1999.

• Object localisation by Bayesian correlation.
  J. Sullivan, A. Blake, M. Isard, and J. MacCormick.
  In Proc. 7th Intl. Conf. Computer Vision, pages 1068-1075, 1999.

• Spatial dependence in the observation of visual contours.
  J. MacCormick and A. Blake.
  In Proc. 5th European Conf. Computer Vision, pages 765-81, 1998.

• A probabilistic contour discriminant for object localisation.
  J. MacCormick and A. Blake.
  In Proc. 6th Int. Conf. Computer Vision, pages 390-95, 1998

Book chapters

• Statistical models of shape and motion.
  A. Blake, M. Isard, and J. MacCormick.
  Sequential Monte Carlo methods in practice, ed. A. Doucet, J.F.G. de Freitas and N.J. Gordon. Springer, 2000.

• A geometrical approach to calculating determinants of Wiener-Hopf operators.
  J. MacCormick and B. Pavlov.
  In A. Bohm, H. Doebner, and P. Kielanowski, editors, Quantum Theory in Rigged Hilbert Spaces - Semigroups, Irreversibility and Causality, pages 333-42. Springer, 1998.

Journal articles

• Kinesis: A New Approach to Replica Placement in Distributed Storage Systems.
  John MacCormick, Nicholas Murphy, Venugopalan Ramasubramanian, Udi Wieder, Junfeng Yang, Lidong Zhou
  ACM Trans. Storage, 4(4), 2009, pages 1-28.

• Niobe: A Practical Replication Protocol.
  John MacCormick, Chandu Thekkath, Marcus Jager, Kristof Roomp, Lidong Zhou, Ryan Peterson.
  ACM Trans. Storage, 3(4), 2008, pages 1-43.

• Ad hoc Extensibility and Access Control.
  U. Erlingsson and J. MacCormick.
  ACM Operating Systems Review, July 2006.

• Bayesian object localisation in images.
  J. Sullivan, A. Blake, M. Isard, and J. MacCormick.
  Intl J. Computer Vision, 44(2):111-135, 2001.

• Probabilistic exclusion and partitioned sampling for multiple object tracking.
  J. MacCormick and A. Blake.
  Intl J. Computer Vision, 39(1):57-71, 2000.

• Statistical models of shape and motion.
  A. Blake, B. Bascle, M. Isard, and J. MacCormick.
  Phil. Trans. R. Soc. Lond. A, 356:1283-1302, 1998.

• Spectral theory of Wiener-Hopf operators and functional model.
  J. MacCormick and B. Pavlov.
  Operator Theory: Advances and Applications, 123:434-452, 2001.

• Rearranging the Davenport formula.
  J. MacCormick.
  N.Z. J. Math. 26(2), pages 101-11, 1997.

Other publications

• The efficiency of methods for storing capabilities and revocations in a secure SAN.
  J. MacCormick.
  Technical note 2002-005, HP Systems Research Center, Palo Alto, California, 2002.
• Hand tracking for vision-based drawing.
  M. Isard and J. MacCormick.
  Technical report, Visual Dynamics Group, Dept. Eng. Science, University of Oxford, 2000.

• Probabilistic modelling and stochastic algorithms for visual localisation and tracking.
  J. MacCormick.
  PhD thesis, University of Oxford, 2000.

• Learning switching linear models of human motion.
  V. Pavlovich, J. Rehg, J. MacCormick.
  Technical report 99-15, HP Cambridge Research Laboratory, 1999.

• A Bayesian theory of multi-scale cross-correlation in images.
  A. Blake, J. Sullivan, M. Isard and J. MacCormick.
  In K. Mardia, R. Aykroyd, and I. Dryden, editors, Spatial-temporal modelling and its applications, 18th LASR Workshop, Leeds University Press, 1999.

• Towards tracker initialisation by random sampling.
  J. MacCormick and A. Blake.
  In K. Mardia, C. Gill, and R. Aykroyd, editors, The Art and Science of Bayesian Image Analysis, pages 184-188, 17th LASR Workshop, Leeds University Press, 1997.