+Biomedical Image Analysis
+Surfaces and Segmentation
-4D Deformable Models with Temporal Constraints: Application to 4D Cardiac Image Segmentation, J. Montagnat and H. Delingette, 2005
-A Genetic Algorithm for the Topology Correction of Cortical Surfaces, Florent S├ęgonne, Eric Grimson, and Bruce Fischl, 2005
-Segmenting and Tracking the Left Ventricle by Learning the Dynamics in Cardiac Images, Walter Sun et al., 2005
-Topology Preserving Tissue Classification with Fast Marching and Topology Templates, Pierre-Louis Bazin and Dzung L. Pham, 2005
+Tensor Computing
-A Riemannian Framework for Tensor Computing, Xavier Pennec, Pierre Fillard, and Nicholas Ayache, 2005
-Extrapolation of Sparse Tensor Fields: Application to the Modeling of Brain Variability, Pierre Fillard, Vincent Arsigny, Xavier Pennec, Paul Thompson, and Nicholas Ayache., 2005
+Computer Vision and Machine Learning
+Graphical Models and Bayesian Networks
-Convergent Tree-reweighted Message Passing for Energy Minimization, Vladimir Kolmogorov, 2005
-Digital Tapestry, Carsten Rother et al., 2005
-On the Optimality of Tree-reweighted Max-product Message Passing, Vladimir Kolmogorov et al., 2005
-Nonparametric Belief Propagation, Erik B. Sudderth et al., 2003
-A Brief Introduction to Graphical Models and Bayesian Networks, Kevin Murphy, 1998
-Markov Random Fields with Efficient Approximations, Yuri Boykov et al., 1998
-Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images, S. Geman and D. Geman, 1984
-Nonparametric Belief Propagation, Erik Sudderth et al.
-Sequential Monte Carlo Methods Particle Filtering, Nando de Freitas et al.
+Learning Algorithms
-Bayesian image super-resolution, Michael E. Tipping et al., 2003
-Fast Marginal Likelihood Maximisation for Sparse Bayesian Models, Michael E. Tipping, 2003
-Information Theory, Inference, and Learning Algorithms, David J.C. MacKay, 2003
-Sparse Bayesian Learning and the Relevance Vector Machine, Michael E. Tipping, 2001
-Bayesian Methods for Neural Networks: Theory and Applications, David J.C. MacKay, 2000
+Object Detection and Tracking
-Pictorial Structures for Object Recognition, Daniel Huttenlocher et al., 2005
-Sparse Bayesian Learning for Efficient Visual Tracking, Oliver Williams et al., 2005
-Feature-Centric Evaluation for Efficient Cascaded Object Detection, Henry W. Schneiderman, 2004
-Gibbs Likelihoods for Bayesian Tracking, Stefan Roth et al., 2004
-Learning a Restricted Bayesian Network for Object Detection, Henry W. Schneiderman, 2004
-Tracking Loose-limbed People, Leonid Sigal et al., 2004
-Fast and Robust Face Finding via Local Context, Hannes Kruppa et al., 2003
-Object Detection Using the Statistics of Parts, Henry W. Schneiderman et al., 2002
-Robust Real-time Object Detection, Paul Viola et al., 2001
-Multi-view Stereo via Volumetric Graph-cuts, George Vogiatzis et al., 2004
-Reconstructing Relief Surfaces, George Vogiatzis et al., 2004
+Lectures, Speeches and Talks
-Richard Hamming: You and Your Research, 1986
-Basic use of the 4Suite Python XSLT API
-Floatutorial (Simple Tutorials on CSS Floats)
-Matrix Identities
+Signal and Image Processing
+Correlation Filtering
-Advanced In-Plane Rotation-Invariant Correlation Filters, Gopalan Ravichandran et al., 2000
-Optimal Tradeoff Circular Harmonic Function Correlation Filter Methods Providing Controlled In-Plane Rotation Response, B. V. K. Vijaya Kumar et al., 2000
-Automated Detection of Macromolecules from Electron Micrographs Using Advanced Filter Techniques, A. Stoschek and R. Hegerl, 1997
+Shape Fitting
-Ellipse Fitting, CVonline, 2002
-Direct Least-Squares Fitting of Ellipses, Andrew Fitzgibbon et al., 1999
+Steerable Filters
-Design of Steerable Filters for Feature Detection Using Canny-Like Criteria, M. Jacob and M. Unser, 2004
-Steerable Wedge Filters for Local Orientation Analysis, Eero P. Simoncelli et al., 1996
-The Design and Use of Steerable Filters, William T. Freeman, 1991