Publications
Detailed publication index

2014

Conference articles

  • M. Cho, J. Sun, O. Duchenne, and J. Ponce. Finding Matches in a Haystack: A Max-Pooling Strategy for Graph Matching in the Presence of Outliers. In IEEE Conference on Computer Vision and Pattern Recognition, 2014.


  • J. Ponce and M. Hebert. Trinocular Geometry Revisited. In IEEE Conference on Computer Vision and Pattern Recognition, 2014. Note: Preliminary version of the paper accepted for oral presentation at CVPR'14.


2013

Articles in journal or book chapters

  • M. Aubry, B. Russell, and J. Sivic. Painting-to-3D Model Alignment Via Discriminative Visual Elements. ACM Transactions on Graphics, 2013. Note: Pre-print, accepted for publication.


Conference articles

  • K. Alahari, G. Seguin, J. Sivic, and I. Laptev. Pose Estimation and Segmentation of People in 3D Movies. In International Conference on Computer Vision, 2013.


  • P. Bojanowski, F. Bach, I. and Laptev, J. Ponce, C. Schmid, and J. Sivic. Finding Actors and Actions in Movies. In International Conference on Computer Vision, 2013.


  • M. Cho, K. Alahari, and J. Ponce. Learning Graphs to Match. In International Conference on Computer Vision, 2013.


  • F. Couzinié-Devy, J. Sun, K. Alahari, and J. Ponce. Learning to Estimate and Remove Non-uniform Image Blur. In IEEE Conference on Computer Vision and Pattern Recognition, 2013.


  • A. Gandhi, K. Alahari, and C. V. Jawahar. Decomposing Bag of Words Histograms. In International Conference on Computer Vision, 2013.


  • P. Gronat, G. Obozinski, J. Sivic, and T Pajdla. Learning per-location classifiers for visual place recognition. In IEEE Conference on Computer Vision and Pattern Recognition, 2013.


  • A. Mishra, K. Alahari, and C. V. Jawahar. Image Retrieval using Textual Cues. In International Conference on Computer Vision, 2013.


  • J. Sun and J. Ponce. Learning Discriminative Part Detectors for Image Classification and Cosegmentation. In International Conference on Computer Vision, 2013.


  • T. Torii, A., Sivic, J., Pajdla and M. Okutomi. Visual Place Recognition with Repetitive Structures. In IEEE Conference on Computer Vision and Pattern Recognition, 2013.


2012

Thesis

  • Muhammad Muneeb Ullah. Supervised Statistical Representations for Human Action Recognition in Video. PhD thesis, Université de Rennes 1, 2012.


  • Oliver Whyte. Removing Camera Shake Blur and Unwanted Occluders from Photographs. PhD thesis, Ecole Normale Supérieure de Cachan, 2012.


Articles in journal or book chapters

  • 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.


Conference articles

  • H. Azizpour and I. Laptev. Object Detection Using Strongly-Supervised Deformable Part Models. In European Conference on Computer Vision, 2012.


  • V. Delaitre, D. Fouhey, I. Laptev, J. Sivic, A. Gupta, and A. Efros. Scene semantics from long-term observation of people. In European Conference on Computer Vision, 2012.


  • D. Fouhey, V. Delaitre, A. Gupta, A. Efros, I. Laptev, and J. Sivic. People Watching: Human Actions as a Cue for Single-View Geometry. In European Conference on Computer Vision, 2012.


  • A. Joulin and F. Bach. A convex relaxation for weakly supervised classifiers. In International Conference on Machine Learning, 2012.


  • A. Joulin, F. Bach, and J. Ponce. Multi-Class Cosegmentation. In IEEE Conference on Computer Vision and Pattern Recognition, 2012.


  • A. Mishra, K. Alahari, and C. V. Jawahar. Scene Text Recognition using Higher Order Language Priors. In British Machine Vision Conference, 2012.


  • A. Mishra, K. Alahari, and C. V. Jawahar. Top-Down and Bottom-Up Cues for Scene Text Recognition. In IEEE Conference on Computer Vision and Pattern Recognition, 2012.


  • M. Ullah and I. Laptev. Actlets: A novel local representation for human action recognition in video. In International Conference on Image Processing, 2012.


2011

Books and proceedings

  • D.A. Forsyth and J. Ponce. Computer Vision: A Modern Approach. (Second edition). Pearson Education Inc., 2011.


Articles in journal or book chapters

  • 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.


Conference articles

  • L. Benoît, J. Mairal, F. Bach, and J. Ponce. Sparse Image Representation with Epitomes. In IEEE Conference on Computer Vision and Pattern Recognition, 2011.


  • Y-L. Boureau, N. Le Roux, F. Bach, J. Ponce, and Y. LeCun. Ask the locals: Multi-way local pooling for image recognition. In International Conference on Computer Vision, 2011.


  • V. Delaitre, J. Sivic, and I. Laptev. Learning person-object interactions for action recognition in still images. In Advances in Neural Information Processing Systems, 2011.


  • O. Duchenne, A. Joulin, and J. Ponce. A Graph-Matching Kernel for Object Categorization. In International Conference on Computer Vision, 2011.


  • T.D. Hocking, A. Joulin, F. Bach, and J.P. Vert. Clusterpath An Algorithm for Clustering using Convex Fusion Penalties. In International Conference on Machine Learning, 2011.


  • J. Lezama, K. Alahari, J. Sivic, and I. Laptev. Track to the Future: Spatio-temporal Video Segmentation with Long-range Motion Cues. In IEEE Conference on Computer Vision and Pattern Recognition, 2011.


  • A. Mishra, K. Alahari, and C. V. Jawahar. An MRF Model for Binarization of Natural Scene Text. In Proceedings of International Conference on Document Analysis and Recognition, 2011.


  • K. Raja, I. Laptev, P. Perez, and L. Oisel. Joint pose estimation and action recognition in image graphs. In International Conference on Image Processing, 2011.


  • M. Rodriguez, I. Laptev, J. Sivic, and J.-Y. Audibert. Density-aware person detection and tracking in crowds. In International Conference on Computer Vision, 2011.


  • M. Rodriguez, J. Sivic, I. Laptev, and J.-Y. Audibert. Data-driven Crowd Analysis. In International Conference on Computer Vision, 2011.


  • B. C. Russell, J. Sivic, J. Ponce, and H. Dessales. Automatic Alignment of Paintings and Photographs Depicting a 3D Scene. In 3rd International IEEE Workshop on 3D Representation for Recognition (3dRR-11), with ICCV 2011, 2011.


  • M. Schmidt and K. Alahari. Generalized Fast Approximate Energy Minimization via Graph Cuts: Alpha-Expansion Beta-Shrink Moves. In Conference on Uncertainty in Artificial Intelligence, 2011.


  • A. Torii, J. Sivic, and T. Pajdla. Visual localization by linear combination of image descriptors. In Proceedings of the 2nd IEEE Workshop on Mobile Vision, with ICCV 2011, 2011.


  • O. Whyte, J. Sivic, and A. Zisserman. Deblurring Shaken and Partially Saturated Images. In Proceedings of the IEEE Workshop on Color and Photometry in Computer Vision, with ICCV 2011, 2011.


  • J. C. van Gemert. Exploiting Photographic Style for Category-Level Image Classification by Generalizing the Spatial Pyramid. In Intl. Conf. Multimedia Information Retrieval, 2011.


2010

Thesis

  • J.-Y. Audibert. PAC-Bayesian aggregation and multi-armed bandits. Habilitation a Diriger les Recherches (HDR), Universite Paris Est, France, October 2010.


  • J. Mairal. Sparse coding for machine learning, image processing and computer vision. PhD thesis, Ecole Normale Supérieure de Cachan, 2010.


Articles in journal or book chapters

  • 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.


Conference articles

  • G. Batog, X. Goaoc, and J. Ponce. Admissible Linear Map Models of Linear Cameras. In IEEE Conference on Computer Vision and Pattern Recognition, 2010.


  • Y-L. Boureau, F. Bach, LeCun Y., and J. Ponce. Learning Mid-Level Features For Recognition. In IEEE Conference on Computer Vision and Pattern Recognition, 2010.


  • Y-L. Boureau, J. Ponce, and LeCun Y.. A Theoretical Analysis of Feature Pooling in Visual Recognition. In International Conference on Machine Learning, 2010.


  • N. Cherniavsky, I. Laptev, J. Sivic, and A. Zisserman. Semi-supervised learning of facial attributes in video. In The first international workshop on parts and attributes (in conjunction with ECCV 2010), 2010.


  • V. Delaitre, I. Laptev, and J. Sivic. Recognizing human actions in still images: a study of bag-of-features and part-based representations. In British Machine Vision Conference, 2010. Note: Updated version, available at http://www.di.ens.fr/willow/research/stillactions/.


  • R. Jenatton, J. Mairal, G. Obozinski, and F. Bach. Proximal Methods for Sparse Hierachichal Dictionary Learning. In International Conference on Machine Learning, 2010.


  • R. Jenatton, G. Obozinski, and F. Bach. Structured sparse principal component analysis. In International Conference on Artificial Intelligence and Statistics (AISTATS), 2010.


  • A. Joulin, F. Bach, and J. Ponce. Discriminative clustering for image co-segmentation. In IEEE Conference on Computer Vision and Pattern Recognition, 2010.


  • A. Joulin, F. Bach, and J. Ponce. Efficient Optimization for Discriminative Latent Class Models. In Advances in Neural Information Processing Systems, 2010.


  • B. Kaneva, J. Sivic, A. Torralba, S. Avidan, and W. T. Freeman. Matching and Predicting Street Level Images. In ECCV 2010 Workshop on Vision for Cognitive Tasks, 2010.


  • J. Knopp, J. Sivic, and T. Pajdla. Avoiding confusing features in place recognition. In European Conference on Computer Vision, 2010.


  • P. Liang, F. Bach, G. Bouchard, and M.I. Jordan. Asymptotically optimal regularization in smooth parametric models. In Advances in Neural Information Processing Systems, 2010.


  • J. Mairal, R. Jenatton, G. Obozinski, and F. Bach. Network Flow Algorithms for Structured Sparsity. In Advances in Neural Information Processing Systems, 2010.


  • J. Philbin, M. Isard, J. Sivic, and A. Zisserman. Descriptor learning for efficient retrieval. In European Conference on Computer Vision, 2010.


  • M.M. Ullah, S.N. Parizi, and I. Laptev. Improving Bag-of-Features Action Recognition with Non-Local Cues. In British Machine Vision Conference, 2010.


  • O. Whyte, J. Sivic, A. Zisserman, and J. Ponce. Non-uniform Deblurring for Shaken Images. In IEEE Conference on Computer Vision and Pattern Recognition, 2010.


Internal reports

  • S. Arlot and P. L. Bartlett. Margin adaptive model selection in statistical learning. Technical report, 2010. Note: Accepted. arXiv:0804.2937.


2009

Thesis

  • F. Bach. Methodes parcimonieuses pour l'apprentissage statistique. Habilitation a Diriger les Recherches (HDR), Ecole Normale Superieure de Cachan (ENS), January 2009.


Articles in journal or book chapters

  • 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 ŕ 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.


Conference articles

  • S. Arlot and F. Bach. Data-driven calibration of linear estimators with minimal penalties. In Y. Bengio, D. Schuurmans, J. Lafferty, C. K. I. Williams, and A. Culotta, editors, Advances in Neural Information Processing Systems 22, pages 46-54, 2009. Note: Long version: arXiv:0909.1884.


  • J.-Y. Audibert and S. Bubeck. Minimax policies for adversarial and stochastic bandits. In Conference on Learning Theory, June 2009.


  • E. Dexter, P Pérez, and I. Laptev. Multi-View Synchronization of Human Actions and Dynamic Scenes. In British Machine Vision Conference, 2009.


  • O. Duchenne, F. Bach, I. Kweon, and J. Ponce. A Tensor-Based Algorithm for High-Order Graph Matching. In IEEE Conference on Computer Vision and Pattern Recognition, 2009.


  • O. Duchenne, I. Laptev, J. Sivic, F. Bach, and J. Ponce. Automatic Annotation of Human Actions in Video. In International Conference on Computer Vision, 2009.


  • Y. Furukawa and J. Ponce. Dense 3D Motion Capture for Human Faces. In IEEE Conference on Computer Vision and Pattern Recognition, 2009.


  • H. Kong, J.-Y. Audibert, and J. Ponce. Vanishing Point Detection for Road Detection. In IEEE Conference on Computer Vision and Pattern Recognition, 2009.


  • J. Mairal, F. Bach, J. Ponce, and G. Sapiro. Online Dictionary Learning for Sparse Coding. In International Conference on Machine Learning, 2009.


  • J. Mairal, F. Bach, J. Ponce, G. Sapiro, and A. Zisserman. Non-local Sparse Models for Image Restoration. In International Conference on Computer Vision, 2009.


  • M. Marsza\lek, I. Laptev, and C. Schmid. Actions in Context. In IEEE Conference on Computer Vision and Pattern Recognition, 2009.


  • J. Ponce. What is a camera?. In IEEE Conference on Computer Vision and Pattern Recognition, 2009.


  • B. Russel and A. Torralba. Building a database of 3D scenes from user annotations. In IEEE Conference on Computer Vision and Pattern Recognition, 2009.


  • B.C. Russell, A. Efros, J. Sivic, W.T. Freeman, and A. Zisserman. Segmenting Scenes by Matching Image Composites. In , 2009.


  • J. Sivic, M. Everingham, and A. Zisserman. ``Who are you?'': Learning person specific classifiers from video. In IEEE Conference on Computer Vision and Pattern Recognition, 2009.


  • H. Wang, M.M. Ullah, A. Kläser, I. Laptev, and C. Schmid. Evaluation of local spatio-temporal features for action recognition. In British Machine Vision Conference, 2009.


  • O. Whyte, J. Sivic, and A. Zisserman. Get Out of my Picture! Internet-based Inpainting. In British Machine Vision Conference, 2009.


2008

Thesis

  • Y. Furukawa. High-Fidelity Image-Based Modeling. Phd thesis, University of Illinois, Urbana-Champaign, 2008.


  • A. Kushal. Learning models for 3D object category recognition. Phd thesis, University of Illinois, Urbana-Champaign, 2008.


Articles in journal or book chapters

  • 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.


Conference articles

  • C. Archambeau and F. Bach. Sparse probabilistic projections. In Advances in Neural Information Processing Systems, 2008.


  • F. Bach. Bolasso: Model consistent Lasso estimation through the bootstrap. In International Conference on Machine Learning, 2008.


  • F. Bach. Graph kernels between point clouds. In International Conference on Machine Learning, 2008.


  • O. Duchenne, J.-Y. Audibert, R. Keriven, J. Ponce, and F. Segonne. Segmentation by transduction. In IEEE Conference on Computer Vision and Pattern Recognition, 2008.


  • Y. Furukawa and J. Ponce. Accurate camera calibration from multi-view stereo and bundle adjustment. In IEEE Conference on Computer Vision and Pattern Recognition, 2008.


  • Y. Furukawa and J. Ponce. Dense 3D motion capture from synchronized video streams.. In IEEE Conference on Computer Vision and Pattern Recognition, 2008.


  • Z. Harchaoui, F. Bach, and E. Moulines. Kernel change-point analysis. In Advances in Neural Information Processing Systems, 2008.


  • C. Liu, J. Yuen, A. Torralba, J. Sivic, and W. T. Freeman. SIFT Flow: Dense Correspondence across Different Scenes. In European Conference on Computer Vision, 2008.


  • J. Mairal, F. Bach, J. Ponce, G. Sapiro, and A. Zisserman. Discriminative Learned Dictionaries for Local Image Analysis. In IEEE Conference on Computer Vision and Pattern Recognition, 2008.


  • J. Mairal, F. Bach, J. Ponce, G. Sapiro, and A. Zisserman. Supervised Dictionary Learning. In Advances in Neural Information Processing Systems, 2008.


  • J. Mairal, Michael Elad, and G. Sapiro. Sparse Learned Representations for Image Restoration. In 4th World conference of the IASC (International Association for Statistical Computing), 2008. Note: Invited paper.


  • J. Mairal, Marius Leordeanu, F. Bach, Martial Hebert, and J. Ponce. Discriminative Sparse Image Models for Class-Specific Edge Detection and Image Interpretation. In European Conference on Computer Vision, 2008.


  • V. Mnih, Cs. Szepesvári, and J.-Y. Audibert. Empirical Bernstein stopping. In International Conference on Machine Learning, 2008.


  • James Philbin, Ondrej Chum, Michael Isard, J. Sivic, and A. Zisserman. Lost in Quantization: Improving Particular Object Retrieval in Large Scale Image Databases. In IEEE Conference on Computer Vision and Pattern Recognition, 2008.


  • James Philbin, J. Sivic, and A. Zisserman. Geometric LDA: A Generative Model for Particular Object Discovery. In British Machine Vision Conference, 2008.


  • H. Sahbi, J.-Y. Audibert, P. Etyngier, and R. Keriven. Context-Dependent Kernel Design for Object Matching and Recognition. In IEEE Conference on Computer Vision and Pattern Recognition, 2008.


  • H. Sahbi, P. Etyngier, J.-Y. Audibert, and R. Keriven. Manifold Learning using Robust Graph Laplacian for Interactive Image Retrieval. In IEEE Conference on Computer Vision and Pattern Recognition, 2008.


  • J. Sivic, Biliana Kaneva, A. Torralba, Shai Avidan, and William T. Freeman. Creating and Exploring a Large Photorealistic Virtual Space. In Proceedings of the First IEEE Workshop on Internet Vision, 2008.


  • J. Sivic, Bryan C. Russell, A. Zisserman, William T. Freeman, and Alyosha A. Efros. Unsupervised discovery of visual object class hierarchies. In IEEE Conference on Computer Vision and Pattern Recognition, 2008.


Internal reports

  • F. Bach, J. Mairal, and J. Ponce. Convex Sparse Matrix Factorizations. Technical report, December 2008. Note: ArXiv:0812.1869.


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.


2006

Articles in journal or book chapters

  • 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.


Conference articles

  • Y. Furukawa and J. Ponce. Carved Visual Hulls for Image-Based Modeling. In European Conference on Computer Vision, volume I, pages 564-577, 2006.


  • A. Kushal and J. Ponce. Modeling 3D Objects from Stereo Views and Recognizing them in Photographs. In European Conference on Computer Vision, volume II, pages 563-574, 2006.


  • A. Kushal, M. Rahurkar, L. Fei-Fei, J. Ponce, and T. Huang. Audio-Visual Speaker Localization Using Graphical Models. In International Conference on Pattern Recognition, 2006.


  • S. Lazebnik, C. Schmid, and J. Ponce. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories. In IEEE Conference on Computer Vision and Pattern Recognition, volume II, pages 2169-2178, 2006.


  • K. McHenry and J. Ponce. A Geodesic Active Contour Framework for Finding Glass. In IEEE Conference on Computer Vision and Pattern Recognition, volume I, pages 1038-1044, 2006.


2003

Books and proceedings

  • D.A. Forsyth and J. Ponce. Computer Vision: A Modern Approach. Prentice-Hall, 2003.