Pose-Consistent 3D Shape Segmentation Based on a Quantum Mechanical Feature Descriptor. - Mathieu Aubry; Ulrich Schlickewei; Daniel Cremers (DAGM-Symposium, 2011)

Decoupling photometry and geometry in dense variational camera calibration. - Mathieu Aubry; Kalin Kolev; Bastian Goldlücke; Daniel Cremers (ICCV, 2011)

The wave kernel signature: A quantum mechanical approach to shape analysis. - Mathieu Aubry; Ulrich Schlickewei; Daniel Cremers (ICCV Workshops, 2011)

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 (CVPR, 2014)

Anisotropic Laplace-Beltrami Operators for Shape Analysis. - Mathieu Andreux; Emanuele Rodolà; Mathieu Aubry; Daniel Cremers (ECCV Workshops (4), 2014)

Convolutional Neural Networks for joint object detection and pose estimation: A comparative study. - Francisco Massa; Mathieu Aubry; Renaud Marlet (CoRR, 2014)

A Super-Resolution Framework for High-Accuracy Multiview Reconstruction. - Bastian Goldlücke; Mathieu Aubry; Kalin Kolev; Daniel Cremers (Int. J. Comput. Vis., 2014)

Fast Local Laplacian Filters: Theory and Applications. - Mathieu Aubry; Sylvain Paris; Samuel W. Hasinoff; Jan Kautz; Frédo Durand (ACM Trans. Graph., 2014)

Painting-to-3D model alignment via discriminative visual elements. - Mathieu Aubry; Bryan C. Russell; Josef Sivic (ACM Trans. Graph., 2014)

Understanding Deep Features with Computer-Generated Imagery. - Mathieu Aubry; Bryan C. Russell (ICCV, 2015)

Representing 3D models for alignment and recognition. (Représentations de modèles 3D pour l'alignement et la reconnaissance). - Mathieu Aubry (2015)

Automatic 3D Car Model Alignment for Mixed Image-Based Rendering. - Rodrigo Ortiz Cayon; Abdelaziz Djelouah; Francisco Massa; Mathieu Aubry; George Drettakis (3DV, 2016)

Crafting a multi-task CNN for viewpoint estimation. - Francisco Massa; Renaud Marlet; Mathieu Aubry (BMVC, 2016)

Deep Exemplar 2D-3D Detection by Adapting from Real to Rendered Views. - Francisco Massa; Bryan C. Russell; Mathieu Aubry (CVPR, 2016)

Learning Dense Correspondence via 3D-Guided Cycle Consistency. - Tinghui Zhou; Philipp Krähenbühl; Mathieu Aubry; Qi-Xing Huang; Alexei A. Efros (CVPR, 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 (ICRA, 2016)

Visual Geo-localization of Non-photographic Depictions via 2D-3D Alignment. - Mathieu Aubry; Bryan C. Russell; Josef Sivic (Large-Scale Visual Geo-Localization, 2016)

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)

A Papier-Mâché Approach to Learning 3D Surface Generation. - Thibault Groueix; Matthew Fisher; Vladimir G. Kim; Bryan C. Russell; Mathieu Aubry (CVPR, 2018)

3D-CODED: 3D Correspondences by Deep Deformation. - Thibault Groueix; Matthew Fisher; Vladimir G. Kim; Bryan C. Russell; Mathieu Aubry (ECCV (2), 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)

Shape correspondences from learnt template-based parametrization. - Thibault Groueix; Matthew Fisher; Vladimir G. Kim; Bryan C. Russell; Mathieu Aubry (CoRR, 2018)

Vector Image Generation by Learning Parametric Layer Decomposition. - Othman Sbai; Camille Couprie; Mathieu Aubry (CoRR, 2018)

The burgeoning computer-art symbiosis. - Shiry Ginosar; Xi Shen 001; Karan Dwivedi; Elizabeth Honig; Mathieu Aubry (XRDS, 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)

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)

Neural Networks for Cross-Modal Recognition and Vector Object Generation. - Mathieu Aubry (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; et al. (3DOR@Eurographics, 2019)

Pose from Shape: Deep Pose Estimation for Arbitrary 3D Objects. - Yang Xiao 009; Xuchong Qiu; Pierre-Alain Langlois; Mathieu Aubry; Renaud Marlet (BMVC, 2019)

Discovering Visual Patterns in Art Collections With Spatially-Consistent Feature Learning. - Xi Shen 001; Alexei A. Efros; Mathieu Aubry (CVPR, 2019)

Learning elementary structures for 3D shape generation and matching. - Theo Deprelle; Thibault Groueix; Matthew Fisher; Vladimir G. Kim; Bryan C. Russell; Mathieu Aubry (NeurIPS, 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 to Guide Local Feature Matches. - François Darmon; Mathieu Aubry; Pascal Monasse (3DV, 2020)

CosyPose: Consistent Multi-view Multi-object 6D Pose Estimation. - Yann Labbé; Justin Carpentier; Mathieu Aubry; Josef Sivic (ECCV (17), 2020)

Impact of Base Dataset Design on Few-Shot Image Classification. - Othman Sbai; Camille Couprie; Mathieu Aubry (ECCV (16), 2020)

RANSAC-Flow: Generic Two-Stage Image Alignment. - Xi Shen 001; François Darmon; Alexei A. Efros; Mathieu Aubry (ECCV (4), 2020)

docExtractor: An off-the-shelf historical document element extraction. - Tom Monnier; Mathieu Aubry (ICFHR, 2020)

Unsupervised Image Decomposition in Vector Layers. - Othman Sbai; Camille Couprie; Mathieu Aubry (ICIP, 2020)

Large-Scale Historical Watermark Recognition: dataset and a new consistency-based approach. - Xi Shen 001; Ilaria Pastrolin; Oumayma Bounou; Spyros Gidaris; Marc H. Smith; Olivier Poncet; Mathieu Aubry (ICPR, 2020)

Deep Transformation-Invariant Clustering. - Tom Monnier; Thibault Groueix; Mathieu Aubry (NeurIPS, 2020)

Spherical Perspective on Learning with Batch Norm. - Simon Roburin; Yann de Mont-Marin; Andrei Bursuc; Renaud Marlet; Patrick Pérez; Mathieu Aubry (CoRR, 2020)

A Web Application for Watermark Recognition. - Oumayma Bounou; Tom Monnier; Ilaria Pastrolin; Xi Shen 001; Christine Benevent; Marie-Françoise Limon-Bonnet; François Bougard; Mathieu Aubry; Marc H. Smith; Olivier Poncet; Pierre-Guillaume Raverdy (J. Data Min. Digit. Humanit., 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)

Deep Multi-View Stereo Gone Wild. - François Darmon; Bénédicte Bascle; Jean-Clément Devaux; Pascal Monasse; Mathieu Aubry (3DV, 2021)

Representing Shape Collections With Alignment-Aware Linear Models. - Romain Loiseau; Tom Monnier; Mathieu Aubry; Loïc Landrieu (3DV, 2021)

Single-View Robot Pose and Joint Angle Estimation via Render & Compare. - Yann Labbé; Justin Carpentier; Mathieu Aubry; Josef Sivic (CVPR, 2021)

Surprising Image Compositions. - Othman Sbai; Camille Couprie; Mathieu Aubry (CVPR Workshops, 2021)

Unsupervised Layered Image Decomposition into Object Prototypes. - Tom Monnier; Elliot Vincent; Jean Ponce; Mathieu Aubry (ICCV, 2021)

Image Collation: Matching Illustrations in Manuscripts. - Ryad Kaoua; Xi Shen 001; Alexandra Durr; Stavros Lazaris; David Picard; Mathieu Aubry (ICDAR (4), 2021)

Deep Learning for Historical Data Analysis. - Mathieu Aubry (SUMAC @ ACM Multimedia, 2021)

Re-ranking for image retrieval and transductive few-shot classification. - Xi Shen 001; Yang Xiao 009; Shell Xu Hu; Othman Sbai; Mathieu Aubry (NeurIPS, 2021)

Bilinear Image Translation for Temporal Analysis of Photo Collections. - Théophile Dalens; Mathieu Aubry; Josef Sivic (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

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 (CoRL, 2022)

Learning Co-segmentation by Segment Swapping for Retrieval and Discovery. - Xi Shen 001; Alexei A. Efros; Armand Joulin; Mathieu Aubry (CVPR Workshops, 2022)

Improving neural implicit surfaces geometry with patch warping. - François Darmon; Bénédicte Bascle; Jean-Clément Devaux; Pascal Monasse; Mathieu Aubry (CVPR, 2022)

Focal Length and Object Pose Estimation via Render and Compare. - Georgy Ponimatkin; Yann Labbé; Bryan C. Russell; Mathieu Aubry; Josef Sivic (CVPR, 2022)

Online Segmentation of LiDAR Sequences: Dataset and Algorithm. - Romain Loiseau; Mathieu Aubry; Loïc Landrieu (ECCV (38), 2022)

Share with Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency. - Tom Monnier; Matthew Fisher; Alexei A. Efros; Mathieu Aubry (ECCV (1), 2022)

A Model You Can Hear: Audio Identification with Playable Prototypes. - Romain Loiseau; Baptiste Bouvier; Yann Teytaut; Elliot Vincent; Mathieu Aubry; Loïc Landrieu (ISMIR, 2022)

Learning Joint Surface Atlases. - Theo Deprelle; Thibault Groueix; Noam Aigerman; Vladimir G. Kim; Mathieu Aubry (CoRR, 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)

Spatially-Consistent Feature Matching and Learning for Heritage Image Analysis. - Xi Shen 001; 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; et al. (Int. J. Comput. Vis., 2022)

Spherical perspective on learning with normalization layers. - Simon Roburin; Yann de Mont-Marin; Andrei Bursuc; Renaud Marlet; Patrick Pérez; Mathieu Aubry (Neurocomputing, 2022)

Differentiable Blocks World: Qualitative 3D Decomposition by Rendering Primitives. - Tom Monnier; Jake Austin; Angjoo Kanazawa; Alexei A. Efros; Mathieu Aubry (NeurIPS, 2023)

The Learnable Typewriter: A Generative Approach to Text Line Analysis. - Ioannis Siglidis; Nicolas Gonthier; Julien Gaubil; Tom Monnier; Mathieu Aubry (CoRR, 2023)

Pixel-wise Agricultural Image Time Series Classification: Comparisons and a Deformable Prototype-based Approach. - Elliot Vincent; Jean Ponce; Mathieu Aubry (CoRR, 2023)

Learnable Earth Parser: Discovering 3D Prototypes in Aerial Scans. - Romain Loiseau; Elliot Vincent; Mathieu Aubry; Loïc Landrieu (CVPR, 2024)

Diffusion Models as Data Mining Tools. - Ioannis Siglidis; Aleksander Holynski; Alexei A. Efros; Mathieu Aubry; Shiry Ginosar (ECCV (61), 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 (ICDAR (3), 2024)

Historical Astronomical Diagrams Decomposition in Geometric Primitives. - Syrine Kalleli; Scott Trigg; Ségolène Albouy; Matthieu Husson; Mathieu Aubry (ICDAR (3), 2024)

The Learnable Typewriter: A Generative Approach to Text Analysis. - Ioannis Siglidis; Nicolas Gonthier; Julien Gaubil; Tom Monnier; Mathieu Aubry (ICDAR (2), 2024)

An Interpretable Deep Learning Approach for Morphological Script Type Analysis. - Malamatenia Vlachou-Efstathiou; Ioannis Siglidis; Dominique Stutzmann; Mathieu Aubry (ICDAR (Workshops 2), 2024)

General Detection-based Text Line Recognition. - Raphaël Baena; Syrine Kalleli; Mathieu Aubry (NeurIPS, 2024)

Historical Astronomical Diagrams Decomposition in Geometric Primitives. - Syrine Kalleli; Scott Trigg; Ségolène Albouy; Mathieu Husson; 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)

CoDEx: Combining Domain Expertise for Spatial Generalization in Satellite Image Analysis. - Abhishek Kuriyal; Elliot Vincent; Mathieu Aubry; Loïc Landrieu (CVPR Workshops, 2025)

Detecting Looted Archaeological Sites from Satellite Image Time Series. - Elliot Vincent; Mehraïl Saroufim; Jonathan Chemla; Yves Ubelmann; Philippe Marquis; Jean Ponce; Mathieu Aubry (CVPR Workshops, 2025)

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 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Segmenting France Across Four Centuries. - Marta López-Rauhut; Hongyu Zhou; Mathieu Aubry; Loïc Landrieu (CoRR, 2025)