Mathieu Aubry

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 86

Top Venues

École Normale Supérieure, Paris, France (PHD)

Education History

École Normale Supérieure, Paris, France

PHD

Publications

Elliot Vincent, Jean Ponce, Mathieu Aubry
Satellite Image Time Series Semantic Change Detection: Novel Architecture and Analysis of Domain Shift. CoRR (2024)
Syrine Kalleli, Scott Trigg, Ségolène Albouy, Mathieu Husson, Mathieu Aubry
Historical Astronomical Diagrams Decomposition in Geometric Primitives. CoRR (2024)
Tom Monnier, Jake Austin, Angjoo Kanazawa, Alexei A. Efros, Mathieu Aubry
Differentiable Blocks World: Qualitative 3D Decomposition by Rendering Primitives. NeurIPS (2023)
Elliot Vincent, Jean Ponce, Mathieu Aubry
Pixel-wise Agricultural Image Time Series Classification: Comparisons and a Deformable Prototype-based Approach. CoRR (2023)
Ioannis Siglidis, Nicolas Gonthier, Julien Gaubil, Tom Monnier, Mathieu Aubry
The Learnable Typewriter: A Generative Approach to Text Line Analysis. CoRR (2023)
Romain Loiseau, Elliot Vincent, Mathieu Aubry, Loïc Landrieu
Learnable Earth Parser: Discovering 3D Prototypes in Aerial Scans. CoRR (2023)
Tom Monnier, Jake Austin, Angjoo Kanazawa, Alexei A. Efros, Mathieu Aubry
Differentiable Blocks World: Qualitative 3D Decomposition by Rendering Primitives. CoRR (2023)
Martin Cífka, Georgy Ponimatkin, Yann Labbé, Bryan C. Russell, Mathieu Aubry, Vladimír Petrik, Josef Sivic
FocalPose++: Focal Length and Object Pose Estimation via Render and Compare. CoRR (2023)
Tom Monnier, Matthew Fisher, Alexei A. Efros, Mathieu Aubry
Share with Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency. ECCV (1) (2022)
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
Spatially-Consistent Feature Matching and Learning for Heritage Image Analysis. Int. J. Comput. Vis. 130 (5) (2022)
Xi Shen, Alexei A. Efros, Armand Joulin, Mathieu Aubry
Learning Co-segmentation by Segment Swapping for Retrieval and Discovery. CVPR Workshops (2022)
Yann Labbé, Lucas Manuelli, Arsalan Mousavian, Stephen Tyree, Stan Birchfield, Jonathan Tremblay, Justin Carpentier, Mathieu Aubry, Dieter Fox, Josef Sivic
MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare. CoRR (2022)
Tom Monnier, Matthew Fisher, Alexei A. Efros, Mathieu Aubry
Share With Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency. CoRR (2022)
Simon Roburin, Charles Corbière, Gilles Puy, Nicolas Thome, Mathieu Aubry, Renaud Marlet, Patrick Pérez
Take One Gram of Neural Features, Get Enhanced Group Robustness. CoRR (2022)
Romain Loiseau, Mathieu Aubry, Loïc Landrieu
Online Segmentation of LiDAR Sequences: Dataset and Algorithm. CoRR (2022)
François Darmon, Bénédicte Bascle, Jean-Clément Devaux, Pascal Monasse, Mathieu Aubry
Improving neural implicit surfaces geometry with patch warping. CVPR (2022)
Yann Labbé, Lucas Manuelli, Arsalan Mousavian, Stephen Tyree, Stan Birchfield, Jonathan Tremblay, Justin Carpentier, Mathieu Aubry, Dieter Fox, Josef Sivic
MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare. CoRL (2022)
Romain Loiseau, Baptiste Bouvier, Yann Teytaut, Elliot Vincent, Mathieu Aubry, Loïc Landrieu
A Model You Can Hear: Audio Identification with Playable Prototypes. CoRR (2022)
Georgy Ponimatkin, Yann Labbé, Bryan C. Russell, Mathieu Aubry, Josef Sivic
Focal Length and Object Pose Estimation via Render and Compare. CVPR (2022)
Theo Deprelle, Thibault Groueix, Noam Aigerman, Vladimir G. Kim, Mathieu Aubry
Learning Joint Surface Atlases. CoRR (2022)
Romain Loiseau, Baptiste Bouvier, Yann Teytaut, Elliot Vincent, Mathieu Aubry, Loïc Landrieu
A Model You Can Hear: Audio Identification with Playable Prototypes. ISMIR (2022)
Simon Roburin, Yann de Mont-Marin, Andrei Bursuc, Renaud Marlet, Patrick Pérez, Mathieu Aubry
Spherical perspective on learning with normalization layers. Neurocomputing 487 (2022)
Romain Loiseau, Mathieu Aubry, Loïc Landrieu
Online Segmentation of LiDAR Sequences: Dataset and Algorithm. ECCV (38) (2022)
Georgy Ponimatkin, Yann Labbé, Bryan C. Russell, Mathieu Aubry, Josef Sivic
Focal Length and Object Pose Estimation via Render and Compare. CoRR (2022)
Romain Loiseau, Tom Monnier, Loïc Landrieu, Mathieu Aubry
Representing Shape Collections with Alignment-Aware Linear Models. CoRR (2021)
Ryad Kaoua, Xi Shen, Alexandra Durr, Stavros Lazaris, David Picard, Mathieu Aubry
Image Collation: Matching Illustrations in Manuscripts. ICDAR (4) (2021)
François Darmon, Bénédicte Bascle, Jean-Clément Devaux, Pascal Monasse, Mathieu Aubry
Improving neural implicit surfaces geometry with patch warping. CoRR (2021)
Romain Loiseau, Tom Monnier, Mathieu Aubry, Loïc Landrieu
Representing Shape Collections With Alignment-Aware Linear Models. 3DV (2021)
Théophile Dalens, Mathieu Aubry, Josef Sivic
Bilinear Image Translation for Temporal Analysis of Photo Collections. IEEE Trans. Pattern Anal. Mach. Intell. 43 (4) (2021)
Yann Labbé, Justin Carpentier, Mathieu Aubry, Josef Sivic
Single-View Robot Pose and Joint Angle Estimation via Render & Compare. CVPR (2021)
Ryad Kaoua, Xi Shen, Alexandra Durr, Stavros Lazaris, David Picard, Mathieu Aubry
Image Collation: Matching illustrations in manuscripts. CoRR (2021)
Mathieu Aubry
Deep Learning for Historical Data Analysis. SUMAC @ ACM Multimedia (2021)
Yann Labbé, Justin Carpentier, Mathieu Aubry, Josef Sivic
Single-view robot pose and joint angle estimation via render & compare. CoRR (2021)
Xi Shen, Alexei A. Efros, Armand Joulin, Mathieu Aubry
Learning Co-segmentation by Segment Swapping for Retrieval and Discovery. CoRR (2021)
Xi Shen, Yang Xiao, Shell Xu Hu, Othman Sbai, Mathieu Aubry
Re-ranking for image retrieval and transductive few-shot classification. NeurIPS (2021)
François Darmon, Bénédicte Bascle, Jean-Clément Devaux, Pascal Monasse, Mathieu Aubry
Deep Multi-View Stereo gone wild. CoRR (2021)
Tom Monnier, Elliot Vincent, Jean Ponce, Mathieu Aubry
Unsupervised Layered Image Decomposition into Object Prototypes. CoRR (2021)
Othman Sbai, Camille Couprie, Mathieu Aubry
Surprising Image Compositions. ICCC (2021)
Tom Monnier, Elliot Vincent, Jean Ponce, Mathieu Aubry
Unsupervised Layered Image Decomposition into Object Prototypes. ICCV (2021)
Othman Sbai, Camille Couprie, Mathieu Aubry
Surprising Image Compositions. CVPR Workshops (2021)
François Darmon, Bénédicte Bascle, Jean-Clément Devaux, Pascal Monasse, Mathieu Aubry
Deep Multi-View Stereo Gone Wild. 3DV (2021)
Tom Monnier, Thibault Groueix, Mathieu Aubry
Deep Transformation-Invariant Clustering. NeurIPS (2020)
Yann Labbé, Justin Carpentier, Mathieu Aubry, Josef Sivic
CosyPose: Consistent multi-view multi-object 6D pose estimation. CoRR (2020)
Othman Sbai, Camille Couprie, Mathieu Aubry
Impact of base dataset design on few-shot image classification. CoRR (2020)
Tom Monnier, Mathieu Aubry
docExtractor: An off-the-shelf historical document element extraction. CoRR (2020)
Yann Labbé, Sergey Zagoruyko, Igor Kalevatykh, Ivan Laptev, Justin Carpentier, Mathieu Aubry, Josef Sivic
Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning. IEEE Robotics Autom. Lett. 5 (2) (2020)
Simon Roburin, Yann de Mont-Marin, Andrei Bursuc, Renaud Marlet, Patrick Pérez, Mathieu Aubry
Spherical Perspective on Learning with Batch Norm. CoRR (2020)
Tom Monnier, Thibault Groueix, Mathieu Aubry
Deep Transformation-Invariant Clustering. CoRR (2020)
Othman Sbai, Camille Couprie, Mathieu Aubry
Unsupervised Image Decomposition in Vector Layers. ICIP (2020)
François Darmon, Mathieu Aubry, Pascal Monasse
Learning to Guide Local Feature Matches. CoRR (2020)
Yann Labbé, Justin Carpentier, Mathieu Aubry, Josef Sivic
CosyPose: Consistent Multi-view Multi-object 6D Pose Estimation. ECCV (17) (2020)
Xi Shen, François Darmon, Alexei A. Efros, Mathieu Aubry
RANSAC-Flow: generic two-stage image alignment. CoRR (2020)
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
A Web Application for Watermark Recognition. J. Data Min. Digit. Humanit. 2020 (2020)
Xi Shen, François Darmon, Alexei A. Efros, Mathieu Aubry
RANSAC-Flow: Generic Two-Stage Image Alignment. ECCV (4) (2020)
François Darmon, Mathieu Aubry, Pascal Monasse
Learning to Guide Local Feature Matches. 3DV (2020)
Othman Sbai, Camille Couprie, Mathieu Aubry
Impact of Base Dataset Design on Few-Shot Image Classification. ECCV (16) (2020)
Xi Shen, Ilaria Pastrolin, Oumayma Bounou, Spyros Gidaris, Marc H. Smith, Olivier Poncet, Mathieu Aubry
Large-Scale Historical Watermark Recognition: dataset and a new consistency-based approach. ICPR (2020)
Tom Monnier, Mathieu Aubry
docExtractor: An off-the-shelf historical document element extraction. ICFHR (2020)
Vianney Loing, Renaud Marlet, Mathieu Aubry
Virtual Training for a Real Application: Accurate Object-Robot Relative Localization without Calibration. CoRR (2019)
Theo Deprelle, Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry
Learning elementary structures for 3D shape generation and matching. NeurIPS (2019)
Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry
Unsupervised cycle-consistent deformation for shape matching. CoRR (2019)
Xi Shen, Alexei A. Efros, Mathieu Aubry
Discovering Visual Patterns in Art Collections with Spatially-consistent Feature Learning. CoRR (2019)
Xi Shen, Alexei A. Efros, Mathieu Aubry
Discovering Visual Patterns in Art Collections With Spatially-Consistent Feature Learning. CVPR (2019)
Yang Xiao, Xuchong Qiu, Pierre-Alain Langlois, Mathieu Aubry, Renaud Marlet
Pose from Shape: Deep Pose Estimation for Arbitrary 3D Objects. BMVC (2019)
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
Shape Correspondence with Isometric and Non-Isometric Deformations. 3DOR@Eurographics (2019)
Yang Xiao, Xuchong Qiu, Pierre-Alain Langlois, Mathieu Aubry, Renaud Marlet
Pose from Shape: Deep Pose Estimation for Arbitrary 3D Objects. CoRR (2019)
Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry
Unsupervised cycle-consistent deformation for shape matching. Comput. Graph. Forum 38 (5) (2019)
Sergey Zagoruyko, Yann Labbé, Igor Kalevatykh, Ivan Laptev, Justin Carpentier, Mathieu Aubry, Josef Sivic
Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning. CoRR (2019)
Theo Deprelle, Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry
Learning elementary structures for 3D shape generation and matching. CoRR (2019)
Xi Shen, Ilaria Pastrolin, Oumayma Bounou, Spyros Gidaris, Marc H. Smith, Olivier Poncet, Mathieu Aubry
Large-Scale Historical Watermark Recognition: dataset and a new consistency-based approach. CoRR (2019)
Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry
A Papier-Mâché Approach to Learning 3D Surface Generation. CVPR (2018)
Johanna Delanoy, Mathieu Aubry, Phillip Isola, Alexei A. Efros, Adrien Bousseau
3D Sketching using Multi-View Deep Volumetric Prediction. Proc. ACM Comput. Graph. Interact. Tech. 1 (1) (2018)
Vianney Loing, Renaud Marlet, Mathieu Aubry
Virtual Training for a Real Application: Accurate Object-Robot Relative Localization Without Calibration. Int. J. Comput. Vis. 126 (9) (2018)
Shiry Ginosar, Xi Shen, Karan Dwivedi, Elizabeth Honig, Mathieu Aubry
The burgeoning computer-art symbiosis. XRDS 24 (3) (2018)
Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry
3D-CODED: 3D Correspondences by Deep Deformation. ECCV (2) (2018)
Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry
Shape correspondences from learnt template-based parametrization. CoRR (2018)
Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry
AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation. CoRR (2018)
Othman Sbai, Camille Couprie, Mathieu Aubry
Vector Image Generation by Learning Parametric Layer Decomposition. CoRR (2018)
Johanna Delanoy, Adrien Bousseau, Mathieu Aubry, Phillip Isola, Alexei A. Efros
What You Sketch Is What You Get: 3D Sketching using Multi-View Deep Volumetric Prediction. CoRR (2017)
Francisco Massa, Renaud Marlet, Mathieu Aubry
Crafting a multi-task CNN for viewpoint estimation. CoRR (2016)
Tinghui Zhou, Philipp Krähenbühl, Mathieu Aubry, Qixing Huang, Alexei A. Efros
Learning Dense Correspondence via 3D-guided Cycle Consistency. CoRR (2016)
Francisco Massa, Bryan C. Russell, Mathieu Aubry
Deep Exemplar 2D-3D Detection by Adapting from Real to Rendered Views. CVPR (2016)
Francisco Massa, Renaud Marlet, Mathieu Aubry
Crafting a multi-task CNN for viewpoint estimation. BMVC (2016)
Tinghui Zhou, Philipp Krähenbühl, Mathieu Aubry, Qi-Xing Huang, Alexei A. Efros
Learning Dense Correspondence via 3D-Guided Cycle Consistency. CVPR (2016)
Rodrigo Ortiz Cayon, Abdelaziz Djelouah, Francisco Massa, Mathieu Aubry, George Drettakis
Automatic 3D Car Model Alignment for Mixed Image-Based Rendering. 3DV (2016)
Jeffrey Mahler, Florian T. Pokorny, Brian Hou, Melrose Roderick, Michael Laskey, Mathieu Aubry, Kai Kohlhoff, Torsten Kröger, James J. Kuffner, Ken Goldberg
Dex-Net 1.0: A cloud-based network of 3D objects for robust grasp planning using a Multi-Armed Bandit model with correlated rewards. ICRA (2016)
Francisco Massa, Bryan C. Russell, Mathieu Aubry
Deep Exemplar 2D-3D Detection by Adapting from Real to Rendered Views. CoRR (2015)
Mathieu Aubry, Bryan C. Russell
Understanding deep features with computer-generated imagery. CoRR (2015)
Mathieu Aubry, Bryan C. Russell
Understanding Deep Features with Computer-Generated Imagery. ICCV (2015)
Bastian Goldlücke, Mathieu Aubry, Kalin Kolev, Daniel Cremers
A Super-Resolution Framework for High-Accuracy Multiview Reconstruction. Int. J. Comput. Vis. 106 (2) (2014)
Mathieu Aubry, Bryan C. Russell, Josef Sivic
Painting-to-3D model alignment via discriminative visual elements. ACM Trans. Graph. 33 (2) (2014)
Francisco Massa, Mathieu Aubry, Renaud Marlet
Convolutional Neural Networks for joint object detection and pose estimation: A comparative study. CoRR (2014)
Mathieu Aubry, Daniel Maturana, Alexei A. Efros, Bryan C. Russell, Josef Sivic
Seeing 3D Chairs: Exemplar Part-Based 2D-3D Alignment Using a Large Dataset of CAD Models. CVPR (2014)
Mathieu Andreux, Emanuele Rodolà, Mathieu Aubry, Daniel Cremers
Anisotropic Laplace-Beltrami Operators for Shape Analysis. ECCV Workshops (4) (2014)
Mathieu Aubry, Sylvain Paris, Samuel W. Hasinoff, Jan Kautz, Frédo Durand
Fast Local Laplacian Filters: Theory and Applications. ACM Trans. Graph. 33 (5) (2014)
Mathieu Aubry, Ulrich Schlickewei, Daniel Cremers
Pose-Consistent 3D Shape Segmentation Based on a Quantum Mechanical Feature Descriptor. DAGM-Symposium (2011)
Mathieu Aubry, Ulrich Schlickewei, Daniel Cremers
The wave kernel signature: A quantum mechanical approach to shape analysis. ICCV Workshops (2011)
Mathieu Aubry, Kalin Kolev, Bastian Goldlücke, Daniel Cremers
Decoupling photometry and geometry in dense variational camera calibration. ICCV (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mathieu Aubry