Publications

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Publications of year 2020

Articles in journal or book chapters

  • Kim B., Ponce J., and Ham B.. Deformable Kernel Networks for Joint Image Filtering. Accepted for publication in the International Journal of Computer Vision, 2020.


  • Lee J., Kim D., Lee W., Ponce J., and Ham B.. Learning Semantic Correspondence Exploiting an Object-level Prior. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020.


  • Y. Labbé, S. Zagoruyko, I. Kalevatykh, I. Laptev, J. Carpentier, M. Aubry, and J. Sivic. Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning. IEEE Robotics and Automation Letters, 2020.


  • Robin Strudel, Ricardo Garcia, Justin Carpentier, Jean-Paul Laumond, Ivan Laptev, and Cordelia Schmid. Learning Obstacle Representations for Neural Motion Planning. arXiv:2008.11174, 2020.


Conference articles

  • 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.



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