Publications

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Publications of year 2007

Books and proceedings

  • J. Ponce, M. Hebert, C. Schmid, and A. Zisserman. Toward Category-Level Object Recognition, volume 4170. Springer-Verlag Lecture Notes in Computer Science, 2007.


Articles in journal or book chapters

  • J.-Y Audibert and O. Bousquet. Combining PAC-Bayesian and generic chaining bounds. Journal of Machine Learning Research, 8:863-889, 2007.


  • J.-Y. Audibert and A. Tsybakov. Fast learning rates for plug-in classifiers. Annals of Statistics, 35(2):608-633, 2007.


  • G. Charpiat, P. Maurel, J.-P. Pons, R. Keriven, and O. Faugeras. Generalized gradients: Priors on minimization flows. The International Journal of Computer Vision, 73(3):325-344, July 2007.


  • J. Erickson, S. Thite, F. Rothganger, and J. Ponce. Capturing a Convex Object with Three Discs. IEEE Trans. Robotics and Automation, 6(23):1133-1140, 2007.


  • S. Har-Peled and A. Kushal. Smaller Coresets for k-Median and k-Means Clustering. Discrete and Computational Geometry, 37(1):3-19, 2007.


  • M. Hein, J.-Y. Audibert, and U. Von Luxburg. Graph laplacians and their convergence on random neighborhood graphs. Journal of Machine Learning Research, 8:1325-1368, 2007.


  • S. Lazebnik, Y. Furukawa, and J. Ponce. Projective Visual Hulls. International Journal of Computer Vision, 74(2):137-165, 2007.


  • J.-P. Pons and J.-D. Boissonnat. A Lagrangian approach to dynamic interfaces through kinetic triangulation of the ambient space. Computer Graphics Forum, 26(2):227-239, 2007.


  • J.-P. Pons, R. Keriven, and O. Faugeras. Multi-view stereo reconstruction and scene flow estimation with a global image-based matching score. The International Journal of Computer Vision, 72(2):179-193, April 2007.


  • F. Rothganger, S. Lazebnik, C. Schmid, and J. Ponce. Segmenting, Modeling, and Matching Video Clips Containing Multiple Moving Objects. IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(3):477-491, 2007.


  • F. Segonne, J. Pacheco, and B. Fischl. Geometrically-Accurate Topology Simplification of Triangulated Cortical Surfaces Using Non-Separating Loops. IEEE Transaction on Medical Imaging, 26(4):518-529, April 2007.


  • F. Ségonne. Active Contours Under Topology Control - Genus Preserving Level Sets. International Journal of Computer Vision, 2007. Note: To appear.


  • P. Yu, P. Ellen Grant, Y. Qi, X. Han, F. Ségonne, R. Pienaar, E. Busa, J. Pacheco, N. Makris, R.-L Buckner, P. Golland, and B. Fischl. Cortical surface shape analysis based on spherical wavelets. IEEE Transaction on Medical Imaging, 26(4):582-597, April 2007.


Conference articles

  • E. Aganj, J.-P. Pons, F. Ségonne, and R. Keriven. Spatio-temporal shape from silhouette using four-dimensional Delaunay meshing. In IEEE International Conference on Computer Vision, Rio de Janeiro, Brazil, October 2007.


  • C. Allene, J.-Y. Audibert, J. Couprie, M.and Cousty, and R. Keriven. Some links between min-cuts, optimal spanning forests and watersheds. In Proc. 8th International Symposium on Mathematical Morphology, Rio de Janeiro, Brazil, October 2007.


  • J.-Y. Audibert. Progressive mixture rules are deviation suboptimal. In Advances in Neural Information Processing Systems, volume 20, December 2007.


  • J.-Y. Audibert, R. Munos, and C. Szepesvari. Tuning bandit algorithms in stochastic environments. In 18th International Conference on Algorithmic Learning Theory, Japon, October 2007.


  • F. Bach and Z. Harchaoui. DIFFRAC: a discriminative and flexible framework for clustering. In Advances in Neural Information Processing Systems, volume 20, 2007.


  • I. Eckstein, J.-P. Pons, Y. Tong, C.C. Jay Kuo, and M. Desbrun. Generalized surface flows for mesh processing. In Symposium on Geometry Processing, Barcelona, Spain, pages 183-192, July 2007.


  • P. Etyngier, R. Keriven, and J.-P. Pons. Towards segmentation based on a shape prior manifold. In 1st International Conference on Scale Space and Variational Methods in Computer Vision, Ishia, Italy, May 2007.


  • P. Etyngier, R. Keriven, and F Ségonne. Projection Onto a Shape Manifold for Image Segmentation with Prior. In 14th IEEE International Conference on Image Processing, San Antonio, Texas, US, September 2007.


  • P. Etyngier, F. Ségonne, and R. Keriven. Active-Contour-Based Image Segmentation using Machine Learning Techniques. In 10th IEEE International Conference on Medical Image Computing and Computer Assisted Intervention, Brisbane, Australia, October 2007.


  • P. Etyngier, F. Ségonne, and R. Keriven. Shape priors using Manifold Learning Techniques. In ICCV, Rio de Janeiro, Brazil, October 2007.


  • A. Farahmand, C. Szepesvári, and J.-Y. Audibert. Manifold-adaptive dimension estimation. In Proceedings of the 24th International conference on Machine Learning, Oregon , USA, June 2007.


  • A. Farahmand, C. Szepesvári, and J.-Y. Audibert. Toward Manifold-Adaptive Learning. In NIPS Workshop on Topology learning, December 2007.


  • Y. Furukawa and J. Ponce. Accurate, Dense, and Robust Multi-View Stereopsis.. In IEEE Conference on Computer Vision and Pattern Recognition, 2007.


  • Z. Harchaoui, F. Bach, and E. Moulines. Testing for Homogeneity with Kernel Fisher Discriminant Analysis. In Advances in Neural Information Processing Systems, volume 20, 2007. Note: In Press.


  • A. Kushal, C. Schmid, and J. Ponce. Flexible Object Models for Category-Level 3D Object Recognition.. In IEEE Conference on Computer Vision and Pattern Recognition, 2007.


  • P. Labatut, J.-P. Pons, and R. Keriven. Efficient multi-view reconstruction of large-scale scenes using interest points, Delaunay triangulation and graph cuts. In IEEE International Conference on Computer Vision, Rio de Janeiro, Brazil, October 2007.


  • J.-P. Pons and J.-D. Boissonnat. Delaunay deformable models: Topology-adaptive meshes based on the restricted Delaunay triangulation. In IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, USA, June 2007.


  • J.-P. Pons, F. Ségonne, J.-D. Boissonnat, L. Rineau, M. Yvinec, and R. Keriven. High-quality consistent meshing of multi-label datasets. In Information Processing in Medical Imaging, pages 198-210, July 2007.


  • M.'A. Ranzato, Y-L. Boureau, and Y. LeCun. Sparse feature learning for deep belief networks. In Advances in Neural Information Processing Systems, 2007.


  • H. Sahbi, J.-Y. Audibert, and R. Keriven. Graph-cut transducers for relevance feedback in content based image retrieval. In ICCV, Rio de Janeiro, Brazil, October 2007.


Internal reports

  • P. Sahbi, H., Etyngier, J.-Y. Audibert, and R Keriven. Graph Laplacian for Interactive Image Retrieval. Technical report 07-32, CERTIS, April 2007.



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