Conference articles

2023

• Elliot Chane-Sane, Cordelia Schmid, and Ivan Laptev. Learning Video-Conditioned Policies for Unseen Manipulation Tasks. In ICRA, 2023.



• Antoine Yang, Arsha Nagrani, Ivan Laptev, Josef Sivic, and Cordelia Schmid. VidChapters-7M: Video Chapters at Scale. In NeurIPS, 2023.



• Antoine Yang, Arsha Nagrani, Paul Hongsuck Seo, Antoine Miech, Jordi Pont-Tuset, Ivan Laptev, Josef Sivic, and Cordelia Schmid. Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning. In CVPR, 2023.

2022

• S. Chen, P.-L. Guhur, M. Tapaswi, C. Schmid, and I. Laptev. Think Global, Act Local: Dual-scale Graph Transformer for Vision-and-Language Navigation. In IEEE Conference on Computer Vision and Pattern Recognition, 2022.



• L. Montaut, Q. Le Lidec, V. Petrik, J. Sivic, and J. Carpentier. Collision Detection Accelerated: An Optimization Perspective. In RSS, 2022.



• T. Soucek, J.-B. Alayrac, A. Miech, I. Laptev, and J. Sivic. Look for the Change: Learning Object States and State-Modifying Actions From Untrimmed Web Videos. In IEEE Conference on Computer Vision and Pattern Recognition, 2022.



• A. Yang, A. Miech, J. Sivic, I. Laptev, and C. Schmid. TubeDETR: Spatio-Temporal Video Grounding with Transformers. In IEEE Conference on Computer Vision and Pattern Recognition, 2022.



• A. Yang, A. Miech, J. Sivic, I. Laptev, and C. Schmid. Zero-Shot Video Question Answering via Frozen Bidirectional Language Models. In NeurIPS, 2022.

2021

• E. Chane-Sane, C. Schmid, and I. Laptev. Goal-Conditioned Reinforcement Learning with Imagined Subgoals. In ICML, 2021.



• S. Chen, P.-L. Guhur, C. Schmid, and I. Laptev. History Aware Multimodal Transformer for Vision-and-Language Navigation. In NeurIPS, 2021.



• T. Chu, X. Li, H. V. Vo, R. M. Summers, and E. Sizikova. Improving Weakly Supervised Lesion Segmentation Using Multi-Task Learning. In MIDL, 2021.



• Y. Labbé, J. Carpentier, M. Aubry, and J. Sivic. Single-view robot pose and joint angle estimation via render & compare. In IEEE Conference on Computer Vision and Pattern Recognition, 2021.



• Q. Le Lidec, I. Laptev, C. Schmid, and J. Carpentier. Differentiable rendering with perturbed optimizers. In NeurIPS, 2021.



• 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.



• A. Yang, A. Miech, J. Sivic, I. Laptev, and C. Schmid. Just Ask: Learning to Answer Questions from Millions of Narrated Videos. In International Conference on Computer Vision, 2021.

2020

• Achal Dave, Tarasha Khurana, Pavel Tokmakov, Cordelia Schmid, and Deva Ramanan. TAO: A Large-Scale Benchmark for Tracking Any Object. In European Conference on Computer Vision, 2020.



• 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.



• Hazel Doughty, Ivan Laptev, Walterio Mayol-Cuevas, and Dima Damen. Action Modifiers: Learning from Adverbs in Instructional Videos. In IEEE Conference on Computer Vision and Pattern Recognition, 2020.



• Nikita Dvornik, Cordelia Schmid, and Julien Mairal. Selecting Relevant Features from a Multi-domain Representation for Few-shot Classification. In European Conference on Computer Vision (ECCV), 2020.



• Yana Hasson, Bugra Tekin, Federica Bogo, Ivan Laptev, Marc Pollefeys, and Cordelia Schmid. Leveraging Photometric Consistency over Time for Sparsely Supervised Hand-Object Reconstruction. In IEEE Conference on Computer Vision and Pattern Recognition, 2020.



• Min J., Lee J., Ponce J., and Cho M.. Learning to Compose Hypercolumns for Visual Correspondence. In European Conference on Computer Vision, 2020.



• Anna Kukleva, Makarand Tapaswi, and Ivan Laptev. Learning Interactions and Relationships between Movie Characters. In IEEE Conference on Computer Vision and Pattern Recognition, 2020.



• Y. Labbé, J. Carpentier, M. Aubry, and J. Sivic. CosyPose: Consistent multi-view multi-object 6D pose estimation. In European Conference on Computer Vision, 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.



• Antoine Miech, Jean-Baptiste Alayrac, Lucas Smaira, Ivan Laptev, Josef Sivic, and Andrew Zisserman. End-to-end learning of visual representations from uncurated instructional videos. In IEEE Conference on Computer Vision and Pattern Recognition, 2020.



• Alexander Pashevich, Igor Kalevatykh, Ivan Laptev, and Cordelia Schmid. Learning visual policies for building 3D shape categories. In International Conference on Intelligent Robots and Systems, 2020.



• Ignacio Rocco, Relja Arandjelovic, and Josef Sivic. Efficient Neighbourhood Consensus Networks via Submanifold Sparse Convolutions. In European Conference on Computer Vision, 2020.



• Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, and Hervé Jégou. Radioactive data: tracing through training. In International Conference on Machine Learning, 2020.



• Vivek Sharma, Makarand Tapaswi, Saquib Sarfraz, and Rainer Stiefelhagen. Clustering based Contrastive Learning for Improving Face Representations. In IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2020.



• Robin Strudel, Alexander Pashevich, Igor Kalevatykh, Ivan Laptev, Josef Sivic, and Cordelia Schmid. Learning to combine primitive skills: A step towards versatile robotic manipulation. In International Conference on Robotics and Automation, 2020.



• Eboli T., Sun J., and Ponce J.. End-to-end Interpretable Learning of Non-blind Image Deblurring. 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.



• D. Zhukov, J.-B. Alayrac, I. Laptev, and J. Sivic. Learning Actionness via Long-range Temporal Order Verification. In European Conference on Computer Vision, 2020.

2019

• 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.



• M. Dusmanu, I. Rocco, T. Pajdla, M. Pollefeys, J. Sivic, A. Torii, and T. Sattler. D2-Net: A Trainable CNN for Joint Detection and Description of Local Features. In IEEE Conference on Computer Vision and Pattern Recognition, 2019.



• Y. Hasson, G. Varol, D. Tzionas, I. Kalevatykh, M. J. Black, I. Laptev, and C. Schmid. Learning joint reconstruction of hands and manipulated objects. In IEEE Conference on Computer Vision and Pattern Recognition, 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.



• Z. Li, J. Sedlar, J. Carpentier, I. Laptev, N. Mansard, and J. Sivic. Estimating 3D Motion and Forces of Person-Object Interactions from Monocular Video. In IEEE Conference on Computer Vision and Pattern Recognition, 2019.



• Antoine Miech, Dimitri Zhukov, Jean-Baptiste Alayrac, Makarand Tapaswi, Ivan Laptev, and Josef Sivic. HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips. In International Conference on Computer Vision, 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.



• Alexander Pashevich, Robin Strudel, Igor Kalevatykh, Ivan Laptev, and Cordelia Schmid. Learning to Augment Synthetic Images for Sim2Real Policy Transfer. In International Conference on Intelligent Robots and Systems, 2019.



• Makarand Tapaswi, Marc T. Law, and Sanja Fidler. Video Face Clustering with Unknown Number of Clusters. 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.



• D. Zhukov, J.-B. Alayrac, R.G. Cinbis, D. Fouhey, I. Laptev, and J. Sivic. Cross-task weakly supervised learning from instructional videos. In IEEE Conference on Computer Vision and Pattern Recognition, 2019.

2018

• L. Bottou, M. Arjovsky, D. Lopez-Paz, and M Oquab. Geometrical Insights for Implicit Generative Modeling. In Braverman Readings in Machine Learning. Key Ideas from Inception to Current State, 2018.



• B. Bukh, X. Goaoc, A. Hubard, and M. Trager. Consistent Sets of Lines with no Colorful Incidence. In SoCG 2018 - 34th International Symposium on Computational Geometry, 2018.



• G. Chéron, J.-B. Alayrac, I. Laptev, and C. Schmid. A Flexible Model for Training Action Localization with Varying Levels of Supervision. In Advances in Neural Information Processing Systems, 2018.



• E. Oyallon, E. Belilovsky, S. Zagoruyko, and M. Valko. Compressing the Input for CNNs with the First-Order Scattering Transform. In European Conference on Computer Vision, 2018.



• I. Rocco, R. Arandjelovic, and J. Sivic. End-to-end weakly-supervised semantic alignment. In IEEE Conference on Computer Vision and Pattern Recognition, 2018.



• I. Rocco, M. Cimpoi, R. Arandjelovic, A. Torii, T. Pajdla, and J. Sivic. Neighbourhood Consensus Networks. In Advances in Neural Information Processing Systems, 2018.



• T. Sattler, W. Maddern, C. Toft, A. Torii, L. Hammarstrand, E. Stenborg, D. Safari, M. Okutomi, M. Pollefeys, J. Sivic, F. Kahl, and T. Pajdla. Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions. In IEEE Conference on Computer Vision and Pattern Recognition, 2018.



• H. Taira, M. Okutomi, T. Sattler, M. Cimpoi, M. Pollefeys, J. Sivic, T. Pajdla, and A. Torii. InLoc: Indoor Visual Localization with Dense Matching and View Synthesis. In IEEE Conference on Computer Vision and Pattern Recognition, 2018.



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



• G. Varol, D. Ceylan, B. Russell, J. Yang, E. Yumer, I. Laptev, and C. Schmid. BodyNet: Volumetric Inference of 3D Human Body Shapes. In European Conference on Computer Vision, 2018.

2017

• J.-B. Alayrac, J. Sivic, I. Laptev, and S. Lacoste-Julien. Joint Discovery of Object States and Manipulation Actions. In International Conference on Computer Vision, 2017.



• 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.



• D. Lopez-Paz and M. Oquab. Revisiting Classifier Two-Sample Tests. In International Conference on Learning Representations, 2017.



• A. Miech, J.-B. Alayrac, P. Bojanowski, I. Laptev, and J. Sivic. Learning from Video and Text via Large-Scale Discriminative Clustering. In International Conference on Computer Vision, 2017.



• A. Osokin, A. Chessel, R. E. Carazo Salas, and F. Vaggi. GANs for Biological Image Synthesis. In International Conference on Computer Vision, 2017.



• J. Peyre, I. Laptev, C. Schmid, and J. Sivic. Weakly-supervised learning of visual relations. 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.



• I. Rocco, R. Arandjelovic, and J. Sivic. Convolutional neural network architecture for geometric matching. 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.



• G. Varol, J. Romero, X. Martin, N. Mahmood, M. J. Black, I. Laptev, and C. Schmid. Learning from Synthetic Humans. In IEEE Conference on Computer Vision and Pattern Recognition, 2017.

2016

• J.-B. Alayrac, P. Bojanowski, N. Agrawal, I. Laptev, J. Sivic, and S. Lacoste-Julien. Unsupervised Learning from Narrated Instruction Videos. In IEEE Conference on Computer Vision and Pattern Recognition, 2016.



• R. Arandjelovic, P. Gronat, A. Torii, T. Pajdla, and J. Sivic. NetVLAD: CNN architecture for weakly supervised place recognition. In IEEE Conference on Computer Vision and Pattern Recognition, 2016.



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



• V. Kantorov, M. Oquab, M. Cho, and I. Laptev. ContextLocNet: Context-aware Deep Network Models for Weakly Supervised Localization. In European Conference on Computer Vision, 2016.



• S. Kwak, M. Cho, and I. Laptev. Thin-Slicing for Pose: Learning to Understand Pose without Explicit Pose Estimation. In IEEE Conference on Computer Vision and Pattern Recognition, 2016.



• G. Seguin, P. Bojanowski, R. Lajugie, and I. Laptev. Instance-level video segmentation from object tracks. In IEEE Conference on Computer Vision and Pattern Recognition, 2016.



• G. A. Sigurdsson, G. Varol, X. Wang, I. Laptev, A. Farhadi, and A. Gupta. Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding. In European Conference on Computer Vision, 2016.



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



• Y. Zhong, R. Arandjelovic, and A. Zisserman. Faces In Places: Compound query retrieval. In British Machine Vision Conference, 2016.

2015

• 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.



• V. Chari, S. Lacoste-Julien, I. Laptev, and J. Sivic. On Pairwise Costs for Network Flow Multi-Object Tracking. In IEEE Conference on Computer Vision and Pattern Recognition, 2015.



• G. Cheron, I. Laptev, and C. Schmid. P-CNN: Pose-based CNN Features for Action Recognition. 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.



• S. Lee, N. Maisonneuve, D. Crandall, A. Efros, and J. Sivic. Linking Past to Present: Discovering Style in Two Centuries of Architecture. In International Conference on Computational Photography, 2015.



• M. Oquab, L. Bottou, I. Laptev, and J. Sivic. Is object localization for free? -- Weakly-supervised learning with convolutional neural networks. In IEEE Conference on Computer Vision and Pattern Recognition, 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.



• A. Torii, R. Arandjelovic, J. Sivic, T. Pajdla, and M. Okutomi. 24/7 place recognition by view synthesis. 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.



• T.-H. Vu, A. Osokin, and I. Laptev. Context-Aware CNNs for Person Head Detection. In International Conference on Computer Vision, 2015.

2014

• M. Andreux, E. Rodola, M. Aubry, and D. Cremers. Anisotropic Laplace-Beltrami Operators for Shape Analysis. In Sixth Workshop on Non-Rigid Shape Analysis and Deformable Image Alignment, 2014.



• M. Aubry, D. Maturana, A. Efros, B. Russell, and J. Sivic. Seeing 3D chairs: exemplar part-based 2D-3D alignment using a large dataset of CAD models. In IEEE Conference on Computer Vision and Pattern Recognition, 2014.



• 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.



• V. Kantorov and I. Laptev. Efficient feature extraction, encoding and classification for action recognition. In IEEE Conference on Computer Vision and Pattern Recognition, 2014.



• M. Oquab, L. Bottou, I. Laptev, and J. Sivic. Learning and Transferring Mid-Level Image Representations using Convolutional Neural Networks. 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.



• T.-H. Vu, C. Olsson, I. Laptev, A. Oliva, and J. Sivic. Predicting Actions from Static Scenes. In European Conference on Computer Vision, 2014.

2013

• 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.



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

2012

• 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

• 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

• 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.

2009

• 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

• 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.

2007

• 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.

2006

• 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.

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