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Mathieu Aubry
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2020 – today
- 2024
- [c48]Romain Loiseau, Elliot Vincent, Mathieu Aubry, Loïc Landrieu:
Learnable Earth Parser: Discovering 3D Prototypes in Aerial Scans. CVPR 2024: 27874-27884 - [c47]Ioannis Siglidis, Aleksander Holynski, Alexei A. Efros
, Mathieu Aubry
Diffusion Models as Data Mining Tools. ECCV (61) 2024: 393-409 - [c46]Malamatenia Vlachou-Efstathiou
An Interpretable Deep Learning Approach for Morphological Script Type Analysis. ICDAR (Workshops 2) 2024: 3-21 - [c45]Syrine Kalleli
Historical Astronomical Diagrams Decomposition in Geometric Primitives. ICDAR (3) 2024: 108-125 - [c44]Sayan Kumar Chaki
Historical Printed Ornaments: Dataset and Tasks. ICDAR (3) 2024: 251-270 - [c43]Ioannis Siglidis
The Learnable Typewriter: A Generative Approach to Text Analysis. ICDAR (2) 2024: 297-314 - [i49]Syrine Kalleli, Scott Trigg, Ségolène Albouy, Mathieu Husson, Mathieu Aubry:
Historical Astronomical Diagrams Decomposition in Geometric Primitives. CoRR abs/2403.08721 (2024) - [i48]Elliot Vincent, Jean Ponce, Mathieu Aubry:
Satellite Image Time Series Semantic Change Detection: Novel Architecture and Analysis of Domain Shift. CoRR abs/2407.07616 (2024) - [i47]Ioannis Siglidis, Aleksander Holynski, Alexei A. Efros, Mathieu Aubry, Shiry Ginosar:
Diffusion Models as Data Mining Tools. CoRR abs/2408.02752 (2024) - [i46]Sayan Kumar Chaki, Zeynep Sonat Baltaci, Elliot Vincent, Rémi Emonet, Fabienne Vial-Bonacci, Christelle Bahier-Porte, Mathieu Aubry, Thierry Fournel:
Historical Printed Ornaments: Dataset and Tasks. CoRR abs/2408.08633 (2024) - [i45]Malamatenia Vlachou-Efstathiou, Ioannis Siglidis, Dominique Stutzmann, Mathieu Aubry:
An Interpretable Deep Learning Approach for Morphological Script Type Analysis. CoRR abs/2408.11150 (2024) - [i44]Elliot Vincent, Mehraïl Saroufim, Jonathan Chemla, Yves Ubelmann, Philippe Marquis, Jean Ponce, Mathieu Aubry:
Detecting Looted Archaeological Sites from Satellite Image Time Series. CoRR abs/2409.09432 (2024) - [i43]Raphaël Baena, Syrine Kalleli, Mathieu Aubry:
General Detection-based Text Line Recognition. CoRR abs/2409.17095 (2024) - 2023
- [c42]Tom Monnier, Jake Austin, Angjoo Kanazawa, Alexei A. Efros, Mathieu Aubry:
Differentiable Blocks World: Qualitative 3D Decomposition by Rendering Primitives. NeurIPS 2023 - [i42]Ioannis Siglidis, Nicolas Gonthier, Julien Gaubil, Tom Monnier, Mathieu Aubry:
The Learnable Typewriter: A Generative Approach to Text Line Analysis. CoRR abs/2302.01660 (2023) - [i41]Elliot Vincent, Jean Ponce, Mathieu Aubry:
Pixel-wise Agricultural Image Time Series Classification: Comparisons and a Deformable Prototype-based Approach. CoRR abs/2303.12533 (2023) - [i40]Romain Loiseau, Elliot Vincent, Mathieu Aubry, Loïc Landrieu:
Learnable Earth Parser: Discovering 3D Prototypes in Aerial Scans. CoRR abs/2304.09704 (2023) - [i39]Tom Monnier, Jake Austin, Angjoo Kanazawa, Alexei A. Efros, Mathieu Aubry:
Differentiable Blocks World: Qualitative 3D Decomposition by Rendering Primitives. CoRR abs/2307.05473 (2023) - [i38]Martin Cífka
FocalPose++: Focal Length and Object Pose Estimation via Render and Compare. CoRR abs/2312.02985 (2023) - 2022
- [j12]Xi Shen
Spatially-Consistent Feature Matching and Learning for Heritage Image Analysis. Int. J. Comput. Vis. 130(5): 1325-1339 (2022) - [j11]Simon Roburin, Yann de Mont-Marin, Andrei Bursuc, Renaud Marlet, Patrick Pérez, Mathieu Aubry:
Spherical perspective on learning with normalization layers. Neurocomputing 487: 66-74 (2022) - [c41]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: 715-725 - [c40]Georgy Ponimatkin, Yann Labbé, Bryan C. Russell, Mathieu Aubry, Josef Sivic:
Focal Length and Object Pose Estimation via Render and Compare. CVPR 2022: 3815-3824 - [c39]Xi Shen, Alexei A. Efros, Armand Joulin, Mathieu Aubry:
Learning Co-segmentation by Segment Swapping for Retrieval and Discovery. CVPR Workshops 2022: 5078-5088 - [c38]François Darmon, Bénédicte Bascle, Jean-Clément Devaux, Pascal Monasse, Mathieu Aubry:
Improving neural implicit surfaces geometry with patch warping. CVPR 2022: 6250-6259 - [c37]Tom Monnier, Matthew Fisher, Alexei A. Efros, Mathieu Aubry:
Share with Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency. ECCV (1) 2022: 285-303 - [c36]Romain Loiseau
Online Segmentation of LiDAR Sequences: Dataset and Algorithm. ECCV (38) 2022: 301-317 - [c35]Romain Loiseau, Baptiste Bouvier, Yann Teytaut, Elliot Vincent, Mathieu Aubry, Loïc Landrieu:
A Model You Can Hear: Audio Identification with Playable Prototypes. ISMIR 2022: 694-700 - [i37]Georgy Ponimatkin, Yann Labbé, Bryan C. Russell, Mathieu Aubry, Josef Sivic:
Focal Length and Object Pose Estimation via Render and Compare. CoRR abs/2204.05145 (2022) - [i36]Tom Monnier, Matthew Fisher, Alexei A. Efros
Share With Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency. CoRR abs/2204.10310 (2022) - [i35]Theo Deprelle, Thibault Groueix, Noam Aigerman, Vladimir G. Kim, Mathieu Aubry:
Learning Joint Surface Atlases. CoRR abs/2206.06273 (2022) - [i34]Romain Loiseau, Mathieu Aubry, Loïc Landrieu:
Online Segmentation of LiDAR Sequences: Dataset and Algorithm. CoRR abs/2206.08194 (2022) - [i33]Romain Loiseau, Baptiste Bouvier, Yann Teytaut, Elliot Vincent, Mathieu Aubry, Loïc Landrieu:
A Model You Can Hear: Audio Identification with Playable Prototypes. CoRR abs/2208.03311 (2022) - [i32]Simon Roburin, Charles Corbière
Take One Gram of Neural Features, Get Enhanced Group Robustness. CoRR abs/2208.12625 (2022) - [i31]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 abs/2212.06870 (2022) - 2021
- [j10]Théophile Dalens
Bilinear Image Translation for Temporal Analysis of Photo Collections. IEEE Trans. Pattern Anal. Mach. Intell. 43(4): 1197-1212 (2021) - [c34]François Darmon, Bénédicte Bascle, Jean-Clément Devaux, Pascal Monasse, Mathieu Aubry:
Deep Multi-View Stereo Gone Wild. 3DV 2021: 484-493 - [c33]Romain Loiseau, Tom Monnier, Mathieu Aubry, Loïc Landrieu:
Representing Shape Collections With Alignment-Aware Linear Models. 3DV 2021: 1044-1053 - [c32]Yann Labbé, Justin Carpentier, Mathieu Aubry, Josef Sivic:
Single-View Robot Pose and Joint Angle Estimation via Render & Compare. CVPR 2021: 1654-1663 - [c31]Othman Sbai, Camille Couprie, Mathieu Aubry:
Surprising Image Compositions. CVPR Workshops 2021: 3926-3930 - [c30]Othman Sbai, Camille Couprie, Mathieu Aubry:
Surprising Image Compositions. ICCC 2021: 248-255 - [c29]Tom Monnier, Elliot Vincent, Jean Ponce, Mathieu Aubry:
Unsupervised Layered Image Decomposition into Object Prototypes. ICCV 2021: 8620-8630 - [c28]Ryad Kaoua, Xi Shen, Alexandra Durr, Stavros Lazaris
Image Collation: Matching Illustrations in Manuscripts. ICDAR (4) 2021: 351-366 - [c27]Mathieu Aubry:
Deep Learning for Historical Data Analysis. SUMAC @ ACM Multimedia 2021: 1 - [c26]Xi Shen, Yang Xiao, Shell Xu Hu, Othman Sbai, Mathieu Aubry:
Re-ranking for image retrieval and transductive few-shot classification. NeurIPS 2021: 25932-25943 - [i30]Yann Labbé, Justin Carpentier, Mathieu Aubry, Josef Sivic:
Single-view robot pose and joint angle estimation via render & compare. CoRR abs/2104.09359 (2021) - [i29]Tom Monnier, Elliot Vincent
Unsupervised Layered Image Decomposition into Object Prototypes. CoRR abs/2104.14575 (2021) - [i28]François Darmon, Bénédicte Bascle, Jean-Clément Devaux, Pascal Monasse, Mathieu Aubry:
Deep Multi-View Stereo gone wild. CoRR abs/2104.15119 (2021) - [i27]Ryad Kaoua, Xi Shen, Alexandra Durr, Stavros Lazaris
Image Collation: Matching illustrations in manuscripts. CoRR abs/2108.08109 (2021) - [i26]Romain Loiseau
Representing Shape Collections with Alignment-Aware Linear Models. CoRR abs/2109.01605 (2021) - [i25]Xi Shen, Alexei A. Efros, Armand Joulin, Mathieu Aubry:
Learning Co-segmentation by Segment Swapping for Retrieval and Discovery. CoRR abs/2110.15904 (2021) - [i24]François Darmon, Bénédicte Bascle, Jean-Clément Devaux, Pascal Monasse, Mathieu Aubry:
Improving neural implicit surfaces geometry with patch warping. CoRR abs/2112.09648 (2021) - 2020
- [j9]Oumayma Bounou, Tom Monnier, Ilaria Pastrolin, Xi Shen, Christine Benevent, Marie-Françoise Limon-Bonnet, François Bougard
A Web Application for Watermark Recognition. J. Data Min. Digit. Humanit. 2020 (2020) - [j8]Yann Labbé
Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning. IEEE Robotics Autom. Lett. 5(2): 3715-3722 (2020) - [c25]François Darmon, Mathieu Aubry, Pascal Monasse:
Learning to Guide Local Feature Matches. 3DV 2020: 1127-1136 - [c24]Yann Labbé, Justin Carpentier, Mathieu Aubry, Josef Sivic:
CosyPose: Consistent Multi-view Multi-object 6D Pose Estimation. ECCV (17) 2020: 574-591 - [c23]Othman Sbai, Camille Couprie, Mathieu Aubry:
Impact of Base Dataset Design on Few-Shot Image Classification. ECCV (16) 2020: 597-613 - [c22]Xi Shen, François Darmon, Alexei A. Efros
RANSAC-Flow: Generic Two-Stage Image Alignment. ECCV (4) 2020: 618-637 - [c21]Tom Monnier, Mathieu Aubry
docExtractor: An off-the-shelf historical document element extraction. ICFHR 2020: 91-96 - [c20]Othman Sbai, Camille Couprie, Mathieu Aubry:
Unsupervised Image Decomposition in Vector Layers. ICIP 2020: 1576-1580 - [c19]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: 6810-6817 - [c18]Tom Monnier, Thibault Groueix, Mathieu Aubry:
Deep Transformation-Invariant Clustering. NeurIPS 2020 - [i23]Xi Shen, François Darmon, Alexei A. Efros, Mathieu Aubry:
RANSAC-Flow: generic two-stage image alignment. CoRR abs/2004.01526 (2020) - [i22]Tom Monnier, Thibault Groueix, Mathieu Aubry:
Deep Transformation-Invariant Clustering. CoRR abs/2006.11132 (2020) - [i21]Simon Roburin, Yann de Mont-Marin, Andrei Bursuc, Renaud Marlet, Patrick Pérez, Mathieu Aubry:
Spherical Perspective on Learning with Batch Norm. CoRR abs/2006.13382 (2020) - [i20]Othman Sbai, Camille Couprie, Mathieu Aubry:
Impact of base dataset design on few-shot image classification. CoRR abs/2007.08872 (2020) - [i19]Yann Labbé, Justin Carpentier, Mathieu Aubry, Josef Sivic:
CosyPose: Consistent multi-view multi-object 6D pose estimation. CoRR abs/2008.08465 (2020) - [i18]François Darmon, Mathieu Aubry, Pascal Monasse:
Learning to Guide Local Feature Matches. CoRR abs/2010.10959 (2020) - [i17]Tom Monnier, Mathieu Aubry:
docExtractor: An off-the-shelf historical document element extraction. CoRR abs/2012.08191 (2020)
2010 – 2019
- 2019
- [b2]Mathieu Aubry:
Neural Networks for Cross-Modal Recognition and Vector Object Generation. University of Paris-Est, France, 2019 - [j7]Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry
Unsupervised cycle-consistent deformation for shape matching. Comput. Graph. Forum 38(5): 123-133 (2019) - [c17]Roberto M. Dyke
Shape Correspondence with Isometric and Non-Isometric Deformations. 3DOR@Eurographics 2019: 111-119 - [c16]Yang Xiao, Xuchong Qiu, Pierre-Alain Langlois, Mathieu Aubry, Renaud Marlet:
Pose from Shape: Deep Pose Estimation for Arbitrary 3D Objects. BMVC 2019: 61 - [c15]Xi Shen, Alexei A. Efros
Discovering Visual Patterns in Art Collections With Spatially-Consistent Feature Learning. CVPR 2019: 9278-9287 - [c14]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: 7433-7443 - [i16]Vianney Loing, Renaud Marlet, Mathieu Aubry:
Virtual Training for a Real Application: Accurate Object-Robot Relative Localization without Calibration. CoRR abs/1902.02711 (2019) - [i15]Xi Shen, Alexei A. Efros, Mathieu Aubry:
Discovering Visual Patterns in Art Collections with Spatially-consistent Feature Learning. CoRR abs/1903.02678 (2019) - [i14]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 abs/1904.10348 (2019) - [i13]Yang Xiao
Pose from Shape: Deep Pose Estimation for Arbitrary 3D Objects. CoRR abs/1906.05105 (2019) - [i12]Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry:
Unsupervised cycle-consistent deformation for shape matching. CoRR abs/1907.03165 (2019) - [i11]Theo Deprelle, Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry:
Learning elementary structures for 3D shape generation and matching. CoRR abs/1908.04725 (2019) - [i10]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 abs/1908.10254 (2019) - 2018
- [j6]Shiry Ginosar, Xi Shen, Karan Dwivedi, Elizabeth Honig, Mathieu Aubry:
The burgeoning computer-art symbiosis. XRDS 24(3): 30-33 (2018) - [j5]Vianney Loing
Virtual Training for a Real Application: Accurate Object-Robot Relative Localization Without Calibration. Int. J. Comput. Vis. 126(9): 1045-1060 (2018) - [j4]Johanna Delanoy
3D Sketching using Multi-View Deep Volumetric Prediction. Proc. ACM Comput. Graph. Interact. Tech. 1(1): 21:1-21:22 (2018) - [c13]Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry:
A Papier-Mâché Approach to Learning 3D Surface Generation. CVPR 2018: 216-224 - [c12]Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry:
3D-CODED: 3D Correspondences by Deep Deformation. ECCV (2) 2018: 235-251 - [i9]Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry:
AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation. CoRR abs/1802.05384 (2018) - [i8]Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry:
Shape correspondences from learnt template-based parametrization. CoRR abs/1806.05228 (2018) - [i7]Othman Sbai, Camille Couprie, Mathieu Aubry:
Vector Image Generation by Learning Parametric Layer Decomposition. CoRR abs/1812.05484 (2018) - 2017
- [i6]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 abs/1707.08390 (2017) - 2016
- [c11]Rodrigo Ortiz Cayon, Abdelaziz Djelouah, Francisco Massa, Mathieu Aubry, George Drettakis:
Automatic 3D Car Model Alignment for Mixed Image-Based Rendering. 3DV 2016: 286-295 - [c10]Francisco Massa, Renaud Marlet, Mathieu Aubry:
Crafting a multi-task CNN for viewpoint estimation. BMVC 2016 - [c9]Tinghui Zhou, Philipp Krähenbühl, Mathieu Aubry, Qi-Xing Huang, Alexei A. Efros
Learning Dense Correspondence via 3D-Guided Cycle Consistency. CVPR 2016: 117-126 - [c8]Francisco Massa, Bryan C. Russell, Mathieu Aubry
Deep Exemplar 2D-3D Detection by Adapting from Real to Rendered Views. CVPR 2016: 6024-6033 - [c7]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: 1957-1964 - [p1]Mathieu Aubry, Bryan C. Russell, Josef Sivic:
Visual Geo-localization of Non-photographic Depictions via 2D-3D Alignment. Large-Scale Visual Geo-Localization 2016: 255-275 - [i5]Tinghui Zhou, Philipp Krähenbühl, Mathieu Aubry, Qixing Huang, Alexei A. Efros:
Learning Dense Correspondence via 3D-guided Cycle Consistency. CoRR abs/1604.05383 (2016) - [i4]Francisco Massa, Renaud Marlet, Mathieu Aubry:
Crafting a multi-task CNN for viewpoint estimation. CoRR abs/1609.03894 (2016) - 2015
- [b1]Mathieu Aubry
Representing 3D models for alignment and recognition. (Représentations de modèles 3D pour l'alignement et la reconnaissance). École Normale Supérieure, Paris, France, 2015 - [c6]Mathieu Aubry, Bryan C. Russell:
Understanding Deep Features with Computer-Generated Imagery. ICCV 2015: 2875-2883 - [i3]Mathieu Aubry, Bryan C. Russell:
Understanding deep features with computer-generated imagery. CoRR abs/1506.01151 (2015) - [i2]Francisco Massa, Bryan C. Russell, Mathieu Aubry:
Deep Exemplar 2D-3D Detection by Adapting from Real to Rendered Views. CoRR abs/1512.02497 (2015) - 2014
- [j3]Bastian Goldlücke, Mathieu Aubry
A Super-Resolution Framework for High-Accuracy Multiview Reconstruction. Int. J. Comput. Vis. 106(2): 172-191 (2014) - [j2]Mathieu Aubry
Painting-to-3D model alignment via discriminative visual elements. ACM Trans. Graph. 33(2): 14:1-14:14 (2014) - [j1]Mathieu Aubry
Fast Local Laplacian Filters: Theory and Applications. ACM Trans. Graph. 33(5): 167:1-167:14 (2014) - [c5]Mathieu Aubry, Daniel Maturana, Alexei A. Efros
Seeing 3D Chairs: Exemplar Part-Based 2D-3D Alignment Using a Large Dataset of CAD Models. CVPR 2014: 3762-3769 - [c4]Mathieu Andreux
Anisotropic Laplace-Beltrami Operators for Shape Analysis. ECCV Workshops (4) 2014: 299-312 - [i1]Francisco Massa, Mathieu Aubry, Renaud Marlet:
Convolutional Neural Networks for joint object detection and pose estimation: A comparative study. CoRR abs/1412.7190 (2014) - 2011
- [c3]Mathieu Aubry, Ulrich Schlickewei, Daniel Cremers
Pose-Consistent 3D Shape Segmentation Based on a Quantum Mechanical Feature Descriptor. DAGM-Symposium 2011: 122-131 - [c2]Mathieu Aubry, Kalin Kolev, Bastian Goldlücke, Daniel Cremers
Decoupling photometry and geometry in dense variational camera calibration. ICCV 2011: 1411-1418 - [c1]Mathieu Aubry, Ulrich Schlickewei, Daniel Cremers
The wave kernel signature: A quantum mechanical approach to shape analysis. ICCV Workshops 2011: 1626-1633
Coauthor Index
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