Publications of Jean Ponce

Books and proceedings

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



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



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

Articles in journal or book chapters

• J. Min, J. Lee, J. Ponce, and M. Cho. SPair-71k: A Large-scale Benchmark for Semantic Correspondence. arXiv e-prints, pp arXiv:1908.10543, August 2019.



• B. Ham, M. Cho, and J. Ponce. Robust Guided Image Filtering Using Nonconvex Potentials. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(1):192-207, 2018.



• B. Ham, M. Cho, C. Schmid, and J. Ponce. Proposal Flow: Semantic Correspondences from Object Proposals. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(7):1711-1725, 2018.



• Y. Zhang, S. Yingna, J. Yang, J. Ponce, and H. Kong. When Dijkstra meets vanishing point: a stereo vision approach for road detection. IEEE Transactions on Image Processing, 2018.



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



• 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.



• 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.



• 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.



• 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.



• 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.



• 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.



• 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.



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



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



• 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

• G. Le Moing, J. Ponce, and C. Schmid. CCVS: Context-aware Controllable Video Synthesis. In NeurIPS, 2021.



• T. Monnier, E. Vincent, J. Ponce, and M. Aubry. Unsupervised Layered Image Decomposition into Object Prototypes. In International Conference on Computer Vision, 2021.



• O. Siméoni, G. Puy, H. V. Vo, S. Roburin, S. Gidaris, A. Bursuc, P. Pérez, R. Marlet, and J. Ponce. Localizing Objects with Self-Supervised Transformers and no Labels. In , 2021.



• H. V. Vo, E. Sizikova, C. Schmid, P. Perez, and J. Ponce. Large-Scale Unsupervised Object Discovery. In NeurIPS, 2021.



• Y. Ding, J. Yang, J. Ponce, and H. Kong. Minimal Solutions to Relative Pose Estimation From Two Views Sharing aCommon Direction With Unknown Focal Length. In IEEE Conference on Computer Vision and Pattern Recognition, 2020.



• Bruno Lecouat, Jean Ponce, and Julien Mairal. Designing and Learning Trainable Priors with Non-Cooperative Games. In Advances in Neural Information Processing Systems, 2020.



• Bruno Lecouat, Jean Ponce, and Julien Mairal. Fully Trainable and Interpretable Non-Local Sparse Models for Image Restoration. In European Conference on Computer Vision, 2020.



• Huy V. Vo, Patrick Pérez, and Jean Ponce. Toward unsupervised, multi-object discovery in large-scale image collections. In European Conference on Computer Vision, 2020.



• Y. Ding, J. Yang, J. Ponce, and H. Kong. An Efficient Solution to the Homography-Based Relative Pose Problem With a Common Reference Direction. In International Conference on Computer Vision, 2019.



• J. Lee, D. Kim, J. Ponce, and B. Ham. SFNet: Learning Object-aware Semantic Correspondence. In IEEE Conference on Computer Vision and Pattern Recognition, 2019.



• J. Min, J. Lee, J. Ponce, and M. Cho. Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features. In International Conference on Computer Vision, 2019.



• M. Trager, M. Hebert, and J. Ponce. Coordinate-Free Carlsson-Weinshall Duality and Relative Multi-View Geometry. In IEEE Conference on Computer Vision and Pattern Recognition, 2019.



• H. V. Vo, F. Bach, M. Cho, K. Han, Y. LeCun, P. Pérez, and J. Ponce. Unsupervised Image Matching and Object Discovery as Optimization. In IEEE Conference on Computer Vision and Pattern Recognition, 2019.



• Y. Zhang, Y. Gao, S. Gu, Y. Guo, M. Liu, Z. Sun, Z. Hou, H. Yang, Y. Wang, J. Yang, J. Ponce, and H. Kong. Build your own hybrid thermal/EO camera for autonomous vehicle. In to appear in the Proc. of the IEEE International Conference on Robotics and Automation, 2019.



• M. Trager, B. Osserman, and J. Ponce. On the Solvability of Viewing Graphs. In European Conference on Computer Vision, 2018.



• K. Han, R. Rezende, B. Ham, K. K. Wong, M. Cho, C. Schmid, and J. Ponce. SCNet: Learning Semantic Correspondence. In International Conference on Computer Vision, 2017.



• R. Rezende, J. Zepeda, J. Ponce, F. Bach, and P. Pérez. Kernel Square-Loss Exemplar Machines for Image Retrieval. In IEEE Conference on Computer Vision and Pattern Recognition, 2017.



• M. Trager, B. Sturmfels, J. Canny, M. Hebert, and J. Ponce. General models for rational cameras and the case of two-slit projections. In IEEE Conference on Computer Vision and Pattern Recognition, 2017.



• B. Ham, M. Cho, Schmid. C, and J. Ponce. Proposal Flow. In IEEE Conference on Computer Vision and Pattern Recognition, 2016.



• M. Trager, M. Hebert, and J. Ponce. Consistency of Silhouettes and Their Duals. In IEEE Conference on Computer Vision and Pattern Recognition, 2016.



• P. Bojanowski, R. Lajugie, E. Grave, F. Bach, I. Laptev, J. Ponce, and C. Schmid. Weakly-Supervised Alignment of Video With Text. In International Conference on Computer Vision, 2015.



• M. Cho, S. Kwak, C. Schmid, and J. Ponce. Unsupervised Object Discovery and Localization in the Wild: Part-based Matching with Bottom-up Region Proposals. In IEEE Conference on Computer Vision and Pattern Recognition, 2015.



• B. Ham, M. Cho, and J. Ponce. Robust Image Filtering Using Joint Static and Dynamic Guidance. In IEEE Conference on Computer Vision and Pattern Recognition, 2015.



• S. Kwak, M. Cho, I. Laptev, J. Ponce, and C. Schmid. Unsupervised Object Discovery and Tracking in Video Collections. In International Conference on Computer Vision, 2015.



• J. Sun, W. Cao, Z. Xu, and J. Ponce. Learning a Convolutional Neural Network for Non-uniform Motion Blur Removal. In IEEE Conference on Computer Vision and Pattern Recognition, 2015.



• M. Trager, M. Hebert, and J. Ponce. The joint image handbook. In International Conference on Computer Vision, 2015.



• P. Bojanowski, R. Lajugie, F. Bach, I. Laptev, J. Ponce, C. Schmid, and J. Sivic. Weakly Supervised Action Labeling in Videos Under Ordering Constraints. In European Conference on Computer Vision, 2014.



• 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. On Image Contours of Projective Shapes. In European Conference on Computer Vision, 2014.



• J. Ponce and M. Hebert. Trinocular Geometry Revisited. In IEEE Conference on Computer Vision and Pattern Recognition, 2014.



• 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.



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



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



• 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.



• O. Duchenne, A. Joulin, and J. Ponce. A Graph-Matching Kernel for Object Categorization. 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.



• 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.



• 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.



• 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.



• 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.



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



• 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.



• 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, 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.



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



• 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.



• 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.

Internal reports

• T. Eboli, J. Sun, and J. Ponce. Neural Embedding of an Iterative Deconvolution Algorithm for Motion blur Estimation and Removal. Technical report, 2018.



• M. Trager and J. Ponce. In Defense of Relative Multi-View Geometry. Technical report, 2018.



• F. Couzinie, J. Mairal, F. Bach, and J. Ponce. Dictionary Learning for Deblurring and Digital Zoom. Technical report, 2011. Note: ArXiv:1110.0957.



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

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