Mathieu Aubry

According to our database, Mathieu Aubry authored at least 77 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

General Detection-based Text Line Recognition.

Raphaël Baena, Syrine Kalleli, Mathieu Aubry

CoRR, 2024

Detecting Looted Archaeological Sites from Satellite Image Time Series.

Elliot Vincent, Mehraïl Saroufim, Jonathan Chemla, Yves Ubelmann, Philippe Marquis, Jean Ponce, Mathieu Aubry

CoRR, 2024

Satellite Image Time Series Semantic Change Detection: Novel Architecture and Analysis of Domain Shift.

Elliot Vincent, Jean Ponce, Mathieu Aubry

CoRR, 2024

Historical Astronomical Diagrams Decomposition in Geometric Primitives.

Syrine Kalleli, Scott Trigg, Ségolène Albouy, Mathieu Husson, Mathieu Aubry

CoRR, 2024

An Interpretable Deep Learning Approach for Morphological Script Type Analysis.

Malamatenia Vlachou-Efstathiou, Ioannis Siglidis, Dominique Stutzmann, Mathieu Aubry

Proceedings of the Document Analysis and Recognition - ICDAR 2024 Workshops, 2024

The Learnable Typewriter: A Generative Approach to Text Analysis.

Ioannis Siglidis, Nicolas Gonthier, Julien Gaubil, Tom Monnier, Mathieu Aubry

Proceedings of the Document Analysis and Recognition - ICDAR 2024 - 18th International Conference, Athens, Greece, August 30, 2024

Historical Astronomical Diagrams Decomposition in Geometric Primitives.

Syrine Kalleli, Scott Trigg, Ségolène Albouy, Matthieu Husson, Mathieu Aubry

Proceedings of the Document Analysis and Recognition - ICDAR 2024 - 18th International Conference, Athens, Greece, August 30, 2024

Historical Printed Ornaments: Dataset and Tasks.

Sayan Kumar Chaki, Zeynep Sonat Baltaci, Elliot Vincent, Rémi Emonet, Fabienne Vial-Bonacci, Christelle Bahier-Porte, Mathieu Aubry, Thierry Fournel

Proceedings of the Document Analysis and Recognition - ICDAR 2024 - 18th International Conference, Athens, Greece, August 30, 2024

Diffusion Models as Data Mining Tools.

Ioannis Siglidis, Aleksander Holynski, Alexei A. Efros, Mathieu Aubry, Shiry Ginosar

Proceedings of the Computer Vision - ECCV 2024, 2024

Learnable Earth Parser: Discovering 3D Prototypes in Aerial Scans.

Romain Loiseau, Elliot Vincent, Mathieu Aubry, Loïc Landrieu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

FocalPose++: Focal Length and Object Pose Estimation via Render and Compare.

Martin Cífka, Georgy Ponimatkin, Yann Labbé, Bryan C. Russell, Mathieu Aubry, Vladimír Petrík, Josef Sivic

CoRR, 2023

Pixel-wise Agricultural Image Time Series Classification: Comparisons and a Deformable Prototype-based Approach.

Elliot Vincent, Jean Ponce, Mathieu Aubry

CoRR, 2023

The Learnable Typewriter: A Generative Approach to Text Line Analysis.

Ioannis Siglidis, Nicolas Gonthier, Julien Gaubil, Tom Monnier, Mathieu Aubry

CoRR, 2023

Differentiable Blocks World: Qualitative 3D Decomposition by Rendering Primitives.

Tom Monnier, Jake Austin, Angjoo Kanazawa, Alexei A. Efros, Mathieu Aubry

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Spherical perspective on learning with normalization layers.

Simon Roburin, Yann de Mont-Marin, Andrei Bursuc, Renaud Marlet, Patrick Pérez, Mathieu Aubry

Neurocomputing, 2022

Spatially-Consistent Feature Matching and Learning for Heritage Image Analysis.

Xi Shen, Robin Champenois, Shiry Ginosar, Ilaria Pastrolin, Morgane Rousselot, Oumayma Bounou, Tom Monnier, Spyros Gidaris, François Bougard, Pierre-Guillaume Raverdy, Marie-Françoise Limon-Bonnet, Christine Benevent, Marc H. Smith, Olivier Poncet, K. Bender, Béatrice Joyeux-Prunel, Elizabeth Honig, Alexei A. Efros, Mathieu Aubry

Int. J. Comput. Vis., 2022

Take One Gram of Neural Features, Get Enhanced Group Robustness.

Simon Roburin, Charles Corbière, Gilles Puy, Nicolas Thome, Mathieu Aubry, Renaud Marlet, Patrick Pérez

CoRR, 2022

Learning Joint Surface Atlases.

Theo Deprelle, Thibault Groueix, Noam Aigerman, Vladimir G. Kim, Mathieu Aubry

CoRR, 2022

A Model You Can Hear: Audio Identification with Playable Prototypes.

Romain Loiseau, Baptiste Bouvier, Yann Teytaut, Elliot Vincent, Mathieu Aubry, Loïc Landrieu

Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

Share with Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency.

Tom Monnier, Matthew Fisher, Alexei A. Efros, Mathieu Aubry

Proceedings of the Computer Vision - ECCV 2022, 2022

Online Segmentation of LiDAR Sequences: Dataset and Algorithm.

Romain Loiseau, Mathieu Aubry, Loïc Landrieu

Proceedings of the Computer Vision - ECCV 2022, 2022

Focal Length and Object Pose Estimation via Render and Compare.

Georgy Ponimatkin, Yann Labbé, Bryan C. Russell, Mathieu Aubry, Josef Sivic

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Improving neural implicit surfaces geometry with patch warping.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning Co-segmentation by Segment Swapping for Retrieval and Discovery.

Xi Shen, Alexei A. Efros, Armand Joulin, Mathieu Aubry

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare.

Yann Labbé, Lucas Manuelli, Arsalan Mousavian, Stephen Tyree, Stan Birchfield, Jonathan Tremblay, Justin Carpentier, Mathieu Aubry, Dieter Fox, Josef Sivic

Proceedings of the Conference on Robot Learning, 2022

2021

Bilinear Image Translation for Temporal Analysis of Photo Collections.

Théophile Dalens, Mathieu Aubry, Josef Sivic

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Re-ranking for image retrieval and transductive few-shot classification.

Xi Shen, Yang Xiao, Shell Xu Hu, Othman Sbai, Mathieu Aubry

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Deep Learning for Historical Data Analysis.

Mathieu Aubry

Proceedings of the SUMAC'21: Proceedings of the 3rd Workshop on Structuring and Understanding of Multimedia heritAge Contents, 2021

Image Collation: Matching Illustrations in Manuscripts.

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

Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

Unsupervised Layered Image Decomposition into Object Prototypes.

Tom Monnier, Elliot Vincent, Jean Ponce, Mathieu Aubry

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Surprising Image Compositions.

Othman Sbai, Camille Couprie, Mathieu Aubry

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Single-View Robot Pose and Joint Angle Estimation via Render & Compare.

Yann Labbé, Justin Carpentier, Mathieu Aubry, Josef Sivic

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Representing Shape Collections With Alignment-Aware Linear Models.

Romain Loiseau, Tom Monnier, Mathieu Aubry, Loïc Landrieu

Proceedings of the International Conference on 3D Vision, 2021

Deep Multi-View Stereo Gone Wild.

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

Proceedings of the International Conference on 3D Vision, 2021

2020

Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning.

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

IEEE Robotics Autom. Lett., 2020

A Web Application for Watermark Recognition.

Oumayma Bounou, Tom Monnier, Ilaria Pastrolin, Xi Shen, Christine Benevent, Marie-Françoise Limon-Bonnet, François Bougard, Mathieu Aubry, Marc H. Smith, Olivier Poncet, Pierre-Guillaume Raverdy

J. Data Min. Digit. Humanit., 2020

Spherical Perspective on Learning with Batch Norm.

Simon Roburin, Yann de Mont-Marin, Andrei Bursuc, Renaud Marlet, Patrick Pérez, Mathieu Aubry

CoRR, 2020

Deep Transformation-Invariant Clustering.

Tom Monnier, Thibault Groueix, Mathieu Aubry

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

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

Xi Shen, Ilaria Pastrolin, Oumayma Bounou, Spyros Gidaris, Marc H. Smith, Olivier Poncet, Mathieu Aubry

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Unsupervised Image Decomposition in Vector Layers.

Othman Sbai, Camille Couprie, Mathieu Aubry

Proceedings of the IEEE International Conference on Image Processing, 2020

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

Tom Monnier, Mathieu Aubry

Proceedings of the 17th International Conference on Frontiers in Handwriting Recognition, 2020

RANSAC-Flow: Generic Two-Stage Image Alignment.

Xi Shen, François Darmon, Alexei A. Efros, Mathieu Aubry

Proceedings of the Computer Vision - ECCV 2020, 2020

Impact of Base Dataset Design on Few-Shot Image Classification.

Othman Sbai, Camille Couprie, Mathieu Aubry

Proceedings of the Computer Vision - ECCV 2020, 2020

CosyPose: Consistent Multi-view Multi-object 6D Pose Estimation.

Yann Labbé, Justin Carpentier, Mathieu Aubry, Josef Sivic

Proceedings of the Computer Vision - ECCV 2020, 2020

Learning to Guide Local Feature Matches.

François Darmon, Mathieu Aubry, Pascal Monasse

Proceedings of the 8th International Conference on 3D Vision, 2020

2019

Unsupervised cycle-consistent deformation for shape matching.

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

Comput. Graph. Forum, 2019

Learning elementary structures for 3D shape generation and matching.

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

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Discovering Visual Patterns in Art Collections With Spatially-Consistent Feature Learning.

Xi Shen, Alexei A. Efros, Mathieu Aubry

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

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

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

Proceedings of the 30th British Machine Vision Conference 2019, 2019

Shape Correspondence with Isometric and Non-Isometric Deformations.

Roberto M. Dyke, C. Stride, Yu-Kun Lai, Paul L. Rosin, Mathieu Aubry, Amit Boyarski, Alexander M. Bronstein, Michael M. Bronstein, Daniel Cremers, Matthew Fisher, Thibault Groueix, Daoliang Guo, Vladimir G. Kim, Ron Kimmel, Zorah Lähner, Kun Li, Or Litany, Tal Remez, Emanuele Rodolà, Bryan C. Russell, Yusuf Sahillioglu, Ron Slossberg, Gary K. L. Tam, Matthias Vestner, Z. Wu, Jingyu Yang

Proceedings of the 12th Eurographics Workshop on 3D Object Retrieval, 2019

Neural Networks for Cross-Modal Recognition and Vector Object Generation.

Mathieu Aubry

, 2019

2018

3D Sketching using Multi-View Deep Volumetric Prediction.

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

Proc. ACM Comput. Graph. Interact. Tech., 2018

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

Vianney Loing, Renaud Marlet, Mathieu Aubry

Int. J. Comput. Vis., 2018

The burgeoning computer-art symbiosis.

Shiry Ginosar, Xi Shen, Karan Dwivedi, Elizabeth Honig, Mathieu Aubry

XRDS, 2018

Vector Image Generation by Learning Parametric Layer Decomposition.

Othman Sbai, Camille Couprie, Mathieu Aubry

CoRR, 2018

Shape correspondences from learnt template-based parametrization.

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

CoRR, 2018

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

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

CoRR, 2018

3D-CODED: 3D Correspondences by Deep Deformation.

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

Proceedings of the Computer Vision - ECCV 2018, 2018

A Papier-Mâché Approach to Learning 3D Surface Generation.

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

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

What You Sketch Is What You Get: 3D Sketching using Multi-View Deep Volumetric Prediction.

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

CoRR, 2017

2016

Visual Geo-localization of Non-photographic Depictions via 2D-3D Alignment.

Mathieu Aubry, Bryan C. Russell, Josef Sivic

Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2016

Dex-Net 1.0: A cloud-based network of 3D objects for robust grasp planning using a Multi-Armed Bandit model with correlated rewards.

Jeffrey Mahler, Florian T. Pokorny, Brian Hou, Melrose Roderick, Michael Laskey, Mathieu Aubry, Kai Kohlhoff, Torsten Kröger, James J. Kuffner, Ken Goldberg

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Learning Dense Correspondence via 3D-Guided Cycle Consistency.

Tinghui Zhou, Philipp Krähenbühl, Mathieu Aubry, Qi-Xing Huang, Alexei A. Efros

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

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

Francisco Massa, Bryan C. Russell, Mathieu Aubry

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Crafting a multi-task CNN for viewpoint estimation.

Francisco Massa, Renaud Marlet, Mathieu Aubry

Proceedings of the British Machine Vision Conference 2016, 2016

Automatic 3D Car Model Alignment for Mixed Image-Based Rendering.

Rodrigo Ortiz Cayon, Abdelaziz Djelouah, Francisco Massa, Mathieu Aubry, George Drettakis

Proceedings of the Fourth International Conference on 3D Vision, 2016

2015

Representing 3D models for alignment and recognition. (Représentations de modèles 3D pour l'alignement et la reconnaissance).

Mathieu Aubry

PhD thesis, 2015

Understanding Deep Features with Computer-Generated Imagery.

Mathieu Aubry, Bryan C. Russell

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Painting-to-3D model alignment via discriminative visual elements.

Mathieu Aubry, Bryan C. Russell, Josef Sivic

ACM Trans. Graph., 2014

Fast Local Laplacian Filters: Theory and Applications.

Mathieu Aubry, Sylvain Paris, Samuel W. Hasinoff, Jan Kautz, Frédo Durand

ACM Trans. Graph., 2014

A Super-Resolution Framework for High-Accuracy Multiview Reconstruction.

Bastian Goldlücke, Mathieu Aubry, Kalin Kolev, Daniel Cremers

Int. J. Comput. Vis., 2014

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

Francisco Massa, Mathieu Aubry, Renaud Marlet

CoRR, 2014

Anisotropic Laplace-Beltrami Operators for Shape Analysis.

Mathieu Andreux, Emanuele Rodolà, Mathieu Aubry, Daniel Cremers

Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

Seeing 3D Chairs: Exemplar Part-Based 2D-3D Alignment Using a Large Dataset of CAD Models.

Mathieu Aubry, Daniel Maturana, Alexei A. Efros, Bryan C. Russell, Josef Sivic

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2011

The wave kernel signature: A quantum mechanical approach to shape analysis.

Mathieu Aubry, Ulrich Schlickewei, Daniel Cremers

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Decoupling photometry and geometry in dense variational camera calibration.

Mathieu Aubry, Kalin Kolev, Bastian Goldlücke, Daniel Cremers

Proceedings of the IEEE International Conference on Computer Vision, 2011

Pose-Consistent 3D Shape Segmentation Based on a Quantum Mechanical Feature Descriptor.

Mathieu Aubry, Ulrich Schlickewei, Daniel Cremers

Proceedings of the Pattern Recognition - 33rd DAGM Symposium, Frankfurt/Main, Germany, August 31, 2011