I am interested in computer vision with a focus on
unsupervised image collection analysis (ERC DISCOVER), and applications to historical data (also ANR EnHerit and ANR VHS and ANR EIDA) and Earth imagery analysis.
Contact me if you are interested in historical data or earth imagery for M2/PhD ( 2023 internship offers ), research engineer and postoc positions.
Learnable Earth Parser: Discovering 3D Prototypes in Aerial Scans
R. Loiseau, E. Vincent, M. Aubry, L. Landrieu
ArXiv 2023
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The Learnable Typewriter A Generative Approach to Text Line Analysis
Y. Siglidis, N. Gonthier, J. Gaubil, T. Monnier, M. Aubry
ArXiv 2023
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MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare
Y. Labbé, L. Manuelli, A. Mousavian, S. Tyree, S. Birchfield, J. Tremblay, J. Carpentier, M. Aubry, D. Fox, J. Sivic
CoRL 2022
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A Model You Can Hear: Audio Classification with Playable Prototypes
R. Loiseau, B. Bouvier, Y. Teytaut, E. Vincent, M. Aubry, L. Landrieu
ISMIR 2022, CVPRw 2022
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Share With Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency
T. Monnier, M. Fisher, A. Efros, M. Aubry
ECCV 2022
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Online Segmentation of LiDAR Sequences: Dataset and Algorithm
R. Loiseau, M. Aubry, L. Landrieu
ECCV 2022
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Learning joint surface atlases
T. Deprelle, T. Groueix, N. Aigerman, V. Kim, M. Aubry
ArXiv 2022
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NeuralWarp: Improving neural implicit surfaces geometry with patch warping
F. Darmon, B. Bascle, J.-C. Devaux, P. Monasse, M. Aubry
CVPR 2022
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Focal Length and Object Pose Estimation via Render and Compare
G. Ponimatkin, Labbé, B. Russell, M. Aubry, J. Sivic
CVPR 2022
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Spatially-consistent Feature Matching and Learning for Heritage Image Analysis
X. Shen, R. Champenois, S. Ginosar, I. Pastrolin, M. Rousselot, O. Bounou, T. Monnier, S. Gidaris, F. Bougard, P.-G. Raverdy, M.-F. Limon, C. Bénévent, M. Smith, O. Poncet, K. Bender, B. Joyeux-Prunel, E. Honig, A. Efros, M. Aubry
IJCV 2022
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Re-ranking for image retrieval and transductive few-shot classification
X. Shen, Y. Xiao, S. Hu, O. Sbai, M. Aubry
NeurIPS 2021
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Learning Co-segmentation by Segment Swapping for Retrieval and Discovery
X. Shen, A. Efros, A. Joulin, M. Aubry
ArXiv 2021, CVPR 2022 workshops
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Representing Shape Collections with Alignment-Aware Linear Models
R. Loiseau, T. Monnier, M. Aubry, L. Landrieu
3DV 2021
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Unsupervised Layered Image Decomposition into Object Prototypes
T. Monnier, E. Vincent, J. Ponce, M. Aubry
ICCV 2021
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Image Collation: Matching illustrations in manuscripts
R. Kaoua, X. Shen, A. Durr, S. Lazaris, D. Picard, M. Aubry
ICDAR 2021
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Deep Multi-View Stereo gone wild
F. Darmon, B. Bascle, J.-C. Devaux, P. Monasse, M. Aubry
3DV 2021
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Single-view robot pose and joint angle estimation via render & compare
Y. Labbé, J. Carpentier, M. Aubry, J. Sivic
CVPR 2021
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Learning to Guide Local Feature Matches
F. Darmon, M. Aubry , P. Monasse
3DV 2020
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Spherical Perspective on Learning with Batch Norm
S. Roburin, Y.de Mont-Marin, A. Bursuc, R.Marlet, P. Perez, M. Aubry
ArXiv 2020, Neurocomputing 2022
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Deep Transformation-Invariant Clustering
T. Monnier, T. Groueix, M. Aubry
NeurIPS 2020
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docExtractor: An off-the-shelf historical document element extraction
T. Monnier, M. Aubry
ICFHR 2020
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CosyPose: Consistent multi-view multi-object 6D pose estimation
Y. Labbé, J. Carpentier, M. Aubry, J. Sivic
ECCV 2020
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Impact of base dataset design on few-shot image classification
O. Sbai, C. Couprie, M. Aubry
ECCV 2020
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RANSAC-Flow: generic two-stage image alignment
X. Shen, F. Darmon, A. Efros, M. Aubry
ECCV 2020
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Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning
Y. Labbé, S. Zagoruyko, I. Kalevatykh, I. Laptev, J. Carpentier, M. Aubry, J. Sivic
RAL 2020
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Large-Scale Historical Watermark Recognition:dataset and a new consistency-based approach
X. Shen, I. Pastrolin, O. Bounou, S. Gidaris, M. Smith, O. Poncet, M. Aubry
ICPR 2020
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| Web App
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Bilinear image translation for temporal analysis of photo collections
T. Dalens, M. Aubry, J. Sivic
TPAMI 2019
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Learning elementary structures for 3D shape generation and matching
T. Deprelle, T. Groueix, M. Fisher, V. G. Kim, B. C. Russell, M. Aubry
NeurIPS 2019
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Unsupervised Image Decomposition in Vector Layers
O. Sbai, C. Couprie, M. Aubry
ArXiv 2019 / ICIP 2020
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Deep Pose Estimation for Arbitrary 3D Objects
Y. Xiao, X. Qiu, P-A Langlois M. Aubry, R. Marlet
BMVC 2019
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Unsupervised cycle-consistent deformation for shape matching
T. Groueix, M. Fisher, V. G. Kim, B. C. Russell, M. Aubry
SGP 2019
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Discovering Visual Patterns in Art Collections with Spatially-consistent Feature Learning
X. Shen, A. Efros, M. Aubry
CVPR 2019
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3D-CODED : 3D Correspondences by Deep Deformation
T. Groueix, M. Fisher, V. G. Kim, B. C. Russell, M. Aubry
ECCV 2018
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Virtual Training for a Real Application: Accurate Object-Robot Relative Localization without Calibration
V. Loing, R. Marlet, M. Aubry
IJCV 2018
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AtlasNet: A Papier-Mâché Approach to Learning Surface Generation
T. Groueix, M. Fisher, V. G. Kim, B. C. Russell, M. Aubry
CVPR 2018
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3D Sketching using Multi-View Deep Volumetric Prediction
J. Delanoy, M. Aubry, P. Isola, A. Efros, A. Bousseau
I3D 2018
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Crafting a multi-task CNN for viewpoint estimation
F. Massa, R. Marlet and M. Aubry
BMVC 2016
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Automatic 3D Car Model Alignment for Mixed Image-Based Rendering
R. Ortiz-Cayon, A. Djelouah, F. Massa, M. Aubry, G. Drettakis
3DV 2016
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Deep Exemplar 2D-3D Detection by Adapting from Real to Rendered Views
F. Massa, B. Russell and M. Aubry
CVPR 2016
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Learning Dense Correspondence via 3D-guided Cycle Consistency
T. Zhou, P. Krähenbühland, M. Aubry, Q. Huang, and A. Efros
CVPR, 2016
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Dex-Net 1.0: A Cloud-Based Network of 3D Objects for Robust Grasp Planning Using a Multi-Armed Bandit Model with Correlated Rewards
J. Mahler, F. Pokorny, B. Hou, M. Roderick, M. Laskey, M. Aubry, K. Kohlhoff, T. Kroeger, J. Kuffner, K. Goldberg
ICRA, 2016
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| bibtex
Understanding deep features with computer-generated imagery
M. Aubry and B. Russell
ICCV, 2015
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Visual geo-localization of non-photographic depictions via 2D-3D alignment
M. Aubry, B. Russell and J. Sivic
Springer book chapter on Visual Analysis and Geo-Localization of Large Scale Imagery, 2015
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Anisotropic Laplace-Beltrami Operators for Shape Analysis
M. Andreux, E. Rodolà, M. Aubry, and D. Cremers
In Sixth Workshop on Non-Rigid Shape Analysis and Deformable Image Alignment (NORDIA), 2014
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Seeing 3D chairs: exemplar part-based 2D-3D alignment using a large dataset of CAD models
M. Aubry, D. Maturana, A. Efros, B. Russell and J. Sivic
CVPR, 2014
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Painting-to-3D Model Alignment Via Discriminative Visual Elements
M. Aubry, B. Russell and J. Sivic
ACM Transactions on Graphics, 2014 (will be presented at SIGGRAPH 2014)
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Fast Local Laplacian Filters: Theory and Applications
M. Aubry, S. Paris, S. Hasinoff, J. Kautz, F.
Durand
ACM Transactions on Graphics, 2014 (will be presented at SIGGRAPH 2014)
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A Super-resolution Framework for High-Accuracy Multiview Reconstruction
B. Goldluecke, M. Aubry, K. Kolev, D. Cremers
International Journal of Computer Vision, volume 106, 2014
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pdf | bibtex
Decoupling Photometry and Geometry in Dense
Variational Camera Calibration
M. Aubry, K. Kolev, B. Goldluecke, D. Cremers
IEEE International Conference on Computer Vision
(ICCV), 2011
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Pose-Consistent 3D Shape Segmentation Based on a
Quantum Mechanical Feature Descriptor
M. Aubry, U. Schlickewei, D. Cremers
Pattern Recognition (Proc. DAGM), Springer, 2011
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The Wave Kernel Signature: A Quantum Mechanical
Approach To Shape Analysis
M. Aubry, U. Schlickewei, D. Cremers
IEEE International Conference on Computer Vision
(ICCV) - Workshop on Dynamic Shape Capture and Analysis (4DMOD), 2011
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pdf | View project web page
I was/am area chair (AC) for CVPR18 and CVPR20, MVA 2021, BMVC 2021, ACCV2021, ACCV2022, CVPR 2023, ICCV 2023, NeurIPS 2023. I was in the award comitee for CVPR2022. I was amongst the top rated reviewers for CVPR19, NeurIPS19 and ECCV 2022. I was associated edidor for CVIU from 2021 to 2023.
Interns and Master students: Karan Dwivedi, Pierre-Alain Langlois, Thomas Belos, David Tidmarsh, Théo Deprelle, Sophie Bodenes, Oumayma Bounou, Tom Monnier, Elliot Vincent, Ryad Kaoua, Van Nguyen Nguyen, Virginie Loison, Xiwei Hu, Ioannis Siglidis, Julien Gaubil.
For more detailed informations, you can download a full version of my CV (might not be up to date) .