Articles in journal or book chapters

2012

• M. Rodriguez, J. Sivic, and I. Laptev. Analysis of Crowded Scenes in Video. In J. Y. Doufour, editor, Intelligent Video Surveillance Systems, pages 251-272. Wiley, 2012.



• Carl Doersch, Saurabh Singh, Abhinav Gupta, Josef Sivic, and Alexei A. Efros. What Makes Paris Look like Paris?. ACM Transactions on Graphics (SIGGRAPH), 31(4), 2012.



• J. Mairal, F. Bach, and J. Ponce. Task-Driven Dictionary Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(4):791-804, 2012. Note: 2010 technical report: http://arxiv.org/abs/1009.5358.



• O. Whyte, J. Sivic, A. Zisserman, and J. Ponce. Non-uniform Deblurring for Shaken Images. International Journal of Computer Vision, 98(2):168-186, 2012.

2011

• F. Couzinie, J. Mairal, F. Bach, and J. Ponce. Dictionary Learning for Deblurring and Digital Zoom. 2011. Note: Submitted to IJCV, pre-print ArXiv.



• O. Duchenne, F. Bach, I.-S. Kweon, and J. Ponce. A tensor-based algorithm for high-order graph matching.. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33:2383 - 2395, 2011.



• R. Jenatton, J. Mairal, G. Obozinski, and F. Bach. Proximal Methods for Hierachichal Sparse Coding. Journal of Machine Learning Research, 12:2297-2334, 2011.



• J. Mairal, F. Bach, and J. Ponce. Task-Driven Dictionary Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011. Note: To appear. preprint ArXiv:1009.5358.

2010

• S. Arlot. Choosing a penalty for model selection in heteroscedastic regression. June 2010. Note: ArXiv:0812.3141.



• S. Arlot, G. Blanchard, and E. Roquain. Some nonasymptotic results on resampling in high dimension, I: Confidence regions. Ann. Statist., 38(1):51-82, 2010.



• S. Arlot, G. Blanchard, and E. Roquain. Some nonasymptotic results on resampling in high dimension, II: multiple tests. Ann. Statist., 38(1):83-99, 2010.



• S. Arlot and A. Celisse. A survey of cross-validation procedures for model selection. Statist. Surv., 4:40-79, 2010.



• S. Arlot and A. Celisse. Segmentation in the mean of heteroscedastic data via cross-validation. Statistics and Computing, 2010. Note: Accepted. arXiv:0902.3977v2.



• Y. Furukawa and J. Ponce. Accurate, Dense, and Robust Multi-View Stereopsis. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(8), 2010.



• M. Journee, F. Bach, P.-A. Absil, and R. Sepulchre. Low-Rank Optimization on the Cone of Positive Semidefinite Matrices. SIAM Journal on Optimization, 20:2327, 2010.



• I. Junejo, E. Dexter, I. Laptev, and P. Pérez. View-Independent Action Recognition from Temporal Self-Similarities. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010. Note: In press.



• B. Kaneva, J. Sivic, A. Torralba, S. Avidan, and W. T. Freeman. Infinite Images: Creating and Exploring a Large Photorealistic Virtual Space. Proceedings of the IEEE, 98(8):1391-1407, 2010.



• H. Kong, J.-Y. Audibert, and J. Ponce. Detecting abandoned objects with a moving camera. IEEE Transactions on Image Processing, 9(18):2201-2210, 2010.



• H. Kong, J.-Y. Audibert, and J. Ponce. General road detection from a single image. IEEE Transactions on Image Processing, 9(18):2211-2220, 2010.



• J. Mairal, F. Bach, J. Ponce, and G. Sapiro. Online Learning for Matrix Factorization and Sparse Coding. Journal of Machine Learning Research, 11:19-60, January 2010.



• H. Sahbi, J.-Y. Audibert, and R. Keriven. Context-Dependent Kernels for Object Classification. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010.

2009

• S. Arlot. Model selection by resampling penalization. Electron. J. Statist., 3:557-624, 2009.



• S. Arlot and P. Massart. Data-driven calibration of penalties for least-squares regression. Journal of Machine Learning Research, 10:245-279, 2009.



• F. Bach. High-dimensional non-linear variable selection through hierarchical kernel learning. Arxiv preprint arXiv:0909.0844, 2009.



• J. Desmars, S. Arlot, J.-E. Arlot, V. Lainey, and A. Vienne. Estimating the accuracy of satellite ephemerides using the bootstrap method. Astronomy and Astrophysics, 499:321-330, May 2009.



• Y. Furukawa and J. Ponce. Accurate Camera Calibration from Multi-View Stereo and Bundle Adjustment. International Journal of Computer Vision, 84(3), september 2009.



• Y. Furukawa and J. Ponce. Carved Visual Hulls for Image-Based Modeling. International Journal of Computer Vision, 81(1):53-67, January 2009.



• J. Ponce. Comment donner un sens à l'image numérique. La Recherche, November 2009.



• M. Zaslavskiy, F. Bach, and J.-P. Vert. A path following algorithm for the graph matching problem. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(12):2227-2242, 2009.

2008

• S. Lazebnik, C. Schmid, and J. Ponce. Object Categorization: Computer and Human Vision Perspectives, chapter Spatial Pyramid Matching. Cambridge University Press, 2008. Note: In press.



• J.-Y. Audibert. Fast learning rates in statistical inference through aggregation. Annals of Statistics, 2008.



• F. Bach. Consistency of the group Lasso and multiple kernel learning. Journal of Machine Learning Research, 9:1179-1225, 2008.



• F. Bach. Consistency of trace norm minimization. Journal of Machine Learning Research, 9:1019-1048, 2008.



• M. Everingham, J. Sivic, and A. Zisserman. Taking the Bite out of Automated Naming of Characters in TV Video. Image and Video Computing, 2008. Note: To appear.



• K. Fukumizu, F. Bach, and M. I. Jordan. Kernel dimension reduction in regression. Annals of Statistics, 2008.



• J. Mairal, G. Sapiro, and Michael Elad. Learning multiscale sparse representations for image and video restoration. SIAM Multiscale Modeling and Simulation, 7(1):214-241, April 2008.



• A. Rakotomamonjy, F. Bach, S. Canu, and Y. Grandvalet. SimpleMKL. Journal of Machine Learning Research, 2008. Note: To appear.



• J. Sivic and A. Zisserman. Efficient Visual Search for Objects in Videos. Proceedings of the IEEE, 96(4):548-566, 2008.



• J. Sivic and A. Zisserman. Efficient visual search of videos cast as text retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008. Note: To appear.



• A. d'Aspremont, F. Bach, and L. El Ghaoui. Optimal solutions for sparse principal component analysis. Journal of Machine Learning Research, 9:1269-1294, 2008.

2007

• 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.

2006

• Y. Furukawa, A. Sethi, J. Ponce, and D. Kriegman. Robust Structure and Motion from Outlines of Smooth Curved Surfaces. IEEE Transactions on Pattern Analysis and Machine Intelligence, 28(2):302-315, 2006.



• S. Lazebnik, C. Schmid, and J. Ponce. A Discriminative Framework for Texture and Object Recognition Using Local Image Features. Toward Category-Level Object Recognition, Springer-Verlag Lecture Notes in Computer Science, 2006.



• J. Ponce, T. Berg, M. Everingham, D. Forsyth, M. Hebert, S. Lazebnik, M. Marszalek, C. Schmid, B. Russell, A. Torralba, C. Williams, J. Zhang, and A. Zisserman. Dataset Issues in Object Recognition. Toward Category-Level Object Recognition, Springer-Verlag Lecture Notes in Computer Science, 2006.



• F. Rothganger, S. Lazebnik, C. Schmid, and J. Ponce. 3D Object Modeling and Recognition Using Local Affine-Invariant Image Descriptors and Multi-View Spatial Constraints. International Journal of Computer Vision, 66(3):231-259, 2006.



• F. Rothganger, S. Lazebnik, C. Schmid, and J. Ponce. 3D Object Modeling and Recognition from Photographs and Image Sequences. Toward Category-Level Object Recognition, Springer-Verlag Lecture Notes in Computer Science, 2006.

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