Mathieu Aubry

Orcid: 0000-0002-3804-0193

According to our database1, Mathieu Aubry authored at least 69 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Historical Astronomical Diagrams Decomposition in Geometric Primitives.
CoRR, 2024

2023
FocalPose++: Focal Length and Object Pose Estimation via Render and Compare.
CoRR, 2023

Learnable Earth Parser: Discovering 3D Prototypes in Aerial Scans.
CoRR, 2023

Pixel-wise Agricultural Image Time Series Classification: Comparisons and a Deformable Prototype-based Approach.
CoRR, 2023

The Learnable Typewriter: A Generative Approach to Text Line Analysis.
CoRR, 2023

Differentiable Blocks World: Qualitative 3D Decomposition by Rendering Primitives.
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.
Neurocomputing, 2022

Spatially-Consistent Feature Matching and Learning for Heritage Image Analysis.
Int. J. Comput. Vis., 2022

Take One Gram of Neural Features, Get Enhanced Group Robustness.
CoRR, 2022

Learning Joint Surface Atlases.
CoRR, 2022

A Model You Can Hear: Audio Identification with Playable Prototypes.
Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

Share with Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency.
Proceedings of the Computer Vision - ECCV 2022, 2022

Online Segmentation of LiDAR Sequences: Dataset and Algorithm.
Proceedings of the Computer Vision - ECCV 2022, 2022

Focal Length and Object Pose Estimation via Render and Compare.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Improving neural implicit surfaces geometry with patch warping.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning Co-segmentation by Segment Swapping for Retrieval and Discovery.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare.
Proceedings of the Conference on Robot Learning, 2022

2021
Bilinear Image Translation for Temporal Analysis of Photo Collections.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Re-ranking for image retrieval and transductive few-shot classification.
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.
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.
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

Unsupervised Layered Image Decomposition into Object Prototypes.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Surprising Image Compositions.
Proceedings of the Twelfth International Conference on Computational Creativity, 2021

Single-View Robot Pose and Joint Angle Estimation via Render & Compare.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Representing Shape Collections With Alignment-Aware Linear Models.
Proceedings of the International Conference on 3D Vision, 2021

Deep Multi-View Stereo Gone Wild.
Proceedings of the International Conference on 3D Vision, 2021

2020
Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning.
IEEE Robotics Autom. Lett., 2020

A Web Application for Watermark Recognition.
J. Data Min. Digit. Humanit., 2020

Spherical Perspective on Learning with Batch Norm.
CoRR, 2020

Deep Transformation-Invariant Clustering.
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.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Unsupervised Image Decomposition in Vector Layers.
Proceedings of the IEEE International Conference on Image Processing, 2020

docExtractor: An off-the-shelf historical document element extraction.
Proceedings of the 17th International Conference on Frontiers in Handwriting Recognition, 2020

RANSAC-Flow: Generic Two-Stage Image Alignment.
Proceedings of the Computer Vision - ECCV 2020, 2020

Impact of Base Dataset Design on Few-Shot Image Classification.
Proceedings of the Computer Vision - ECCV 2020, 2020

CosyPose: Consistent Multi-view Multi-object 6D Pose Estimation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Learning to Guide Local Feature Matches.
Proceedings of the 8th International Conference on 3D Vision, 2020

2019
Unsupervised cycle-consistent deformation for shape matching.
Comput. Graph. Forum, 2019

Learning elementary structures for 3D shape generation and matching.
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.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Pose from Shape: Deep Pose Estimation for Arbitrary 3D Objects.
Proceedings of the 30th British Machine Vision Conference 2019, 2019


Neural Networks for Cross-Modal Recognition and Vector Object Generation.
, 2019

2018
3D Sketching using Multi-View Deep Volumetric Prediction.
Proc. ACM Comput. Graph. Interact. Tech., 2018

Virtual Training for a Real Application: Accurate Object-Robot Relative Localization Without Calibration.
Int. J. Comput. Vis., 2018

The burgeoning computer-art symbiosis.
XRDS, 2018

Vector Image Generation by Learning Parametric Layer Decomposition.
CoRR, 2018

Shape correspondences from learnt template-based parametrization.
CoRR, 2018

AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation.
CoRR, 2018

3D-CODED: 3D Correspondences by Deep Deformation.
Proceedings of the Computer Vision - ECCV 2018, 2018

A Papier-Mâché Approach to Learning 3D Surface Generation.
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.
CoRR, 2017

2016
Visual Geo-localization of Non-photographic Depictions via 2D-3D Alignment.
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.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Learning Dense Correspondence via 3D-Guided Cycle Consistency.
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.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Crafting a multi-task CNN for viewpoint estimation.
Proceedings of the British Machine Vision Conference 2016, 2016

Automatic 3D Car Model Alignment for Mixed Image-Based Rendering.
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).
PhD thesis, 2015

Understanding Deep Features with Computer-Generated Imagery.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
Painting-to-3D model alignment via discriminative visual elements.
ACM Trans. Graph., 2014

Fast Local Laplacian Filters: Theory and Applications.
ACM Trans. Graph., 2014

A Super-Resolution Framework for High-Accuracy Multiview Reconstruction.
Int. J. Comput. Vis., 2014

Convolutional Neural Networks for joint object detection and pose estimation: A comparative study.
CoRR, 2014

Anisotropic Laplace-Beltrami Operators for Shape Analysis.
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.
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.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Decoupling photometry and geometry in dense variational camera calibration.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Pose-Consistent 3D Shape Segmentation Based on a Quantum Mechanical Feature Descriptor.
Proceedings of the Pattern Recognition - 33rd DAGM Symposium, Frankfurt/Main, Germany, August 31, 2011


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