Publications

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Articles in journal or book chapters

2017

  • B. Ham, M. Cho, and J. Ponce. Robust Guided Image Filtering Using Nonconvex Potentials. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017.


  • B. Ham, M. Cho, C. Schmid, and J. Ponce. Proposal Flow: Semantic Correspondences from Object Proposals. Accepted for publication IEEE Trans. on Pattern Analysis and Machine Intelligence, 2017.


  • H. Idrees, A. R. Zamir, Y.-G. Jiang, A. Gorban, I. Laptev, R. Sukthankar, and M. Shah. The THUMOS challenge on action recognition for videos ''in the wild''. Computer Vision and Image Understanding, 155:1-23, 2017.


  • K. Kohn, B. Sturmfels, and M. Trager. Changing Views on Curves and Surfaces. Submitted to Acta Mathematica Vietnamica, 2017.


  • J. Ponce, B. Sturmfels, and M. Trager. Congruences and Concurrent Lines in Multi-View Geometry. Advances in Applied Mathematics, 88:62-91, 2017.


  • G. Varol, I. Laptev, and C. Schmid. Long-term Temporal Convolutions for Action Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017.


2016

  • J. Sun and J. Ponce. Learning Dictionary of Discriminative Part Detectors for Image Categorization and Cosegmentation. International Journal of Computer Vision, 120(2):111-133, 2016.


  • M. Trager, M. Hebert, and J. Ponce. Trinocular Geometry Revisited. International Journal of Computer Vision, 120(2):134-152, 2016.


2015

  • M. Aubry, B. Russell, and J. Sivic. Visual Analysis and Geolocalization of Large-Scale Imagery, chapter Visual geo-localization of non-photographic depictions via 2D-3D alignment. Springer, 2015.


  • G. Seguin, K. Alahari, J. Sivic, and I. Laptev. Pose Estimation and Segmentation of Multiple People in Stereoscopic Movies. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37(8):1643-1655, 2015.


  • A. Torii, J. Sivic, T. Pajdla, and M. Okutomi. Visual place recognition with repetitive structures. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37(11):2346-2359, 2015.


2014

  • M. Aubry, S. Paris, S. Hasinoff, J. Kautz, and F. Durand. Fast Local Laplacian Filters: Theory and Applications. ACM Transactions on Graphics, 33(5):167:1-167:14, 2014.


  • M. Aubry, B. Russell, and J. Sivic. Painting-to-3D Model Alignment Via Discriminative Visual Elements. ACM Transactions on Graphics, 33(2):14:1-14:14, 2014.


  • J. Mairal, F. Bach, and J. Ponce. Sparse Modeling for Image and Vision Processing. Foundation and Trends in Computer Graphics and Vision, 8(2-3):85-283, 2014.


2012

  • M. Rodriguez, J. Sivic, and I. Laptev. Analysis of Crowded Scenes in Video. In 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):101:1-101:9, 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.


  • 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

  • Sylvain Arlot and Alain Celisse. Segmentation of the mean of heteroscedastic data via cross-validation. Statistics and Computing, 21(4):613-632, 2011.


  • 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(12):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.


  • 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, 33(1):172-185, 2011.


  • H. Sahbi, J.-Y. Audibert, and R. Keriven. Context-Dependent Kernels for Object Classification. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(4):699-708, 2011.


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.


  • Y. Furukawa and J. Ponce. Accurate, Dense, and Robust Multi-View Stereopsis. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(8):1362-1376, 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(5):2327-2351, 2010.


  • 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, 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.


  • J.-Y. Audibert. Fast learning rates in statistical inference through aggregation. Annals of Statistics, 37(4):1591-1646, 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(1):321-330, 2009.


  • M. Everingham, J. Sivic, and A. Zisserman. Taking the Bite out of Automated Naming of Characters in TV Video. Image and Video Computing, 27(5):545-559, 2009.


  • K. Fukumizu, F. Bach, and M. I. Jordan. Kernel dimension reduction in regression. Annals of Statistics, 37(4):1871-1905, 2009.


  • Y. Furukawa and J. Ponce. Accurate Camera Calibration from Multi-View Stereo and Bundle Adjustment. International Journal of Computer Vision, 84(3):257-268, 2009.


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


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


  • J. Sivic and A. Zisserman. Efficient visual search of videos cast as text retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(4):591-606, 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.


  • 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.


  • 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, 9:2491-2521, 2008.


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


  • 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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