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Picture for Mathieu Aubry

Learning Co-segmentation by Segment Swapping for Retrieval and Discovery


Oct 29, 2021
Xi Shen, Alexei A. Efros, Armand Joulin, Mathieu Aubry


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Representing Shape Collections with Alignment-Aware Linear Models


Sep 03, 2021
Romain Loiseau, Tom Monnier, LoĂŻc Landrieu, Mathieu Aubry

* 17 pages, 10 figures. Code and data are available at: https://romainloiseau.github.io/deep-linear-shapes 

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Image Collation: Matching illustrations in manuscripts


Aug 18, 2021
Ryad Kaoua, Xi Shen, Alexandra Durr, Stavros Lazaris, David Picard, Mathieu Aubry

* accepted to ICDAR 2021 

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Deep Multi-View Stereo gone wild


Apr 30, 2021
François Darmon, Bénédicte Bascle, Jean-Clément Devaux, Pascal Monasse, Mathieu Aubry


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Unsupervised Layered Image Decomposition into Object Prototypes


Apr 29, 2021
Tom Monnier, Elliot Vincent, Jean Ponce, Mathieu Aubry

* Project webpage: https://imagine.enpc.fr/~monniert/DTI-Sprites 

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Single-view robot pose and joint angle estimation via render & compare


Apr 19, 2021
Yann Labbé, Justin Carpentier, Mathieu Aubry, Josef Sivic

* Accepted at CVPR 2021 (Oral) 

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docExtractor: An off-the-shelf historical document element extraction


Dec 15, 2020
Tom Monnier, Mathieu Aubry

* Accepted at 2020 17th International Conference on Frontiers in Handwriting Recognition (ICFHR) (oral). Project webpage: http://imagine.enpc.fr/~monniert/docExtractor/ 

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Learning to Guide Local Feature Matches


Oct 21, 2020
François Darmon, Mathieu Aubry, Pascal Monasse

* Accepted to 3DV 2020 

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CosyPose: Consistent multi-view multi-object 6D pose estimation


Aug 19, 2020
Yann Labbé, Justin Carpentier, Mathieu Aubry, Josef Sivic

* ECCV 2020 

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Impact of base dataset design on few-shot image classification


Jul 17, 2020
Othman Sbai, Camille Couprie, Mathieu Aubry

* 23 pages, 11 figures, to appear in ECCV 2020 

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Spherical Perspective on Learning with Batch Norm


Jun 23, 2020
Simon Roburin, Yann de Mont-Marin, Andrei Bursuc, Renaud Marlet, Patrick PĂ©rez, Mathieu Aubry


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Deep Transformation-Invariant Clustering


Jun 19, 2020
Tom Monnier, Thibault Groueix, Mathieu Aubry

* Project webpage: http://imagine.enpc.fr/~monniert/DTIClustering/ 

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RANSAC-Flow: generic two-stage image alignment


Apr 03, 2020
Xi Shen, François Darmon, Alexei A. Efros, Mathieu Aubry

* Project webpage: http://imagine.enpc.fr/~shenx/RANSAC-Flow/ 

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Large-Scale Historical Watermark Recognition: dataset and a new consistency-based approach


Aug 27, 2019
Xi Shen, Ilaria Pastrolin, Oumayma Bounou, Spyros Gidaris, Marc Smith, Olivier Poncet, Mathieu Aubry


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Learning elementary structures for 3D shape generation and matching


Aug 14, 2019
Theo Deprelle, Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry


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Unsupervised cycle-consistent deformation for shape matching


Jul 06, 2019
Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry


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Pose from Shape: Deep Pose Estimation for Arbitrary 3D Objects


Jun 12, 2019
Yang Xiao, Xuchong Qiu, Pierre-Alain Langlois, Mathieu Aubry, Renaud Marlet


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Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning


Apr 23, 2019
Sergey Zagoruyko, Yann Labbé, Igor Kalevatykh, Ivan Laptev, Justin Carpentier, Mathieu Aubry, Josef Sivic


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Discovering Visual Patterns in Art Collections with Spatially-consistent Feature Learning


Mar 08, 2019
Xi Shen, Alexei A. Efros, Mathieu Aubry


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Virtual Training for a Real Application: Accurate Object-Robot Relative Localization without Calibration


Feb 07, 2019
Vianney Loing, Renaud Marlet, Mathieu Aubry

* Int J Comput Vis (2018) 126: 1045 

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Vector Image Generation by Learning Parametric Layer Decomposition


Dec 13, 2018
Othman Sbai, Camille Couprie, Mathieu Aubry

* 17 pages, 16 figures 

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3D-CODED : 3D Correspondences by Deep Deformation


Jul 27, 2018
Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry


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AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation


Jul 20, 2018
Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry


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3D Sketching using Multi-View Deep Volumetric Prediction


Jun 19, 2018
Johanna Delanoy, Mathieu Aubry, Phillip Isola, Alexei A. Efros, Adrien Bousseau

* See our accompanying video on https://youtu.be/DGIYzmlm2pQ, networks and databases available at https://ns.inria.fr/d3/3DSketching/. To appear in PACMCGIT 

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Crafting a multi-task CNN for viewpoint estimation


Sep 13, 2016
Francisco Massa, Renaud Marlet, Mathieu Aubry

* To appear in BMVC 2016 

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Learning Dense Correspondence via 3D-guided Cycle Consistency


Apr 18, 2016
Tinghui Zhou, Philipp Krähenbühl, Mathieu Aubry, Qixing Huang, Alexei A. Efros

* To appear in CVPR 2016 (oral presentation) 

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Deep Exemplar 2D-3D Detection by Adapting from Real to Rendered Views


Apr 18, 2016
Francisco Massa, Bryan Russell, Mathieu Aubry

* To appear in CVPR 2016 

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Understanding deep features with computer-generated imagery


Jun 03, 2015
Mathieu Aubry, Bryan Russell


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Convolutional Neural Networks for joint object detection and pose estimation: A comparative study


Feb 28, 2015
Francisco Massa, Mathieu Aubry, Renaud Marlet


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