Mathieu Aubry
Mathieu Aubry
Researcher, LIGM-Imagine, ENPC
Verified email at imagine.enpc.fr - Homepage
Title
Cited by
Cited by
Year
The wave kernel signature: A quantum mechanical approach to shape analysis
M Aubry, U Schlickewei, D Cremers
2011 IEEE international conference on computer vision workshops (ICCV …, 2011
5682011
Seeing 3D chairs: exemplar part-based 2D-3D alignment using a large dataset of CAD models
M Aubry, D Maturana, A Efros, B Russell, J Sivic
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
4262014
A papier-mâché approach to learning 3d surface generation
T Groueix, M Fisher, VG Kim, BC Russell, M Aubry
Proceedings of the IEEE conference on computer vision and pattern …, 2018
3242018
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, FT Pokorny, B Hou, M Roderick, M Laskey, M Aubry, K Kohlhoff, ...
2092016
Learning dense correspondence via 3d-guided cycle consistency
T Zhou, P Krahenbuhl, M Aubry, Q Huang, AA Efros
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
2072016
Fast local laplacian filters: Theory and applications
M Aubry, S Paris, SW Hasinoff, J Kautz, F Durand
ACM Transactions on Graphics (TOG) 33 (5), 1-14, 2014
1372014
Understanding deep features with computer-generated imagery
M Aubry, BC Russell
Proceedings of the IEEE International Conference on Computer Vision, 2875-2883, 2015
1152015
Painting-to-3D model alignment via discriminative visual elements
M Aubry, BC Russell, J Sivic
ACM Transactions on Graphics (ToG) 33 (2), 1-14, 2014
1022014
Deep exemplar 2d-3d detection by adapting from real to rendered views
F Massa, BC Russell, M Aubry
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
872016
3D-CODED: 3D Correspondences by Deep Deformation
T Groueix, M Fisher, VG Kim, BC Russell, M Aubry
Proceedings of the European Conference on Computer Vision (ECCV), 230-246, 2018
702018
Crafting a multi-task CNN for viewpoint estimation
F Massa, R Marlet, M Aubry
arXiv preprint arXiv:1609.03894, 2016
552016
A super-resolution framework for high-accuracy multiview reconstruction
B Goldlücke, M Aubry, K Kolev, D Cremers
International journal of computer vision 106 (2), 172-191, 2014
502014
Anisotropic Laplace-Beltrami Operators for Shape Analysis
M Andreux, E Rodola, M Aubry, D Cremers
Computer Vision-ECCV 2014 Workshops, 299-312, 2014
432014
Pose-consistent 3d shape segmentation based on a quantum mechanical feature descriptor
M Aubry, U Schlickewei, D Cremers
Joint Pattern Recognition Symposium, 122-131, 2011
362011
3d sketching using multi-view deep volumetric prediction
J Delanoy, M Aubry, P Isola, AA Efros, A Bousseau
Proceedings of the ACM on Computer Graphics and Interactive Techniques 1 (1 …, 2018
322018
Learning elementary structures for 3d shape generation and matching
T Deprelle, T Groueix, M Fisher, V Kim, B Russell, M Aubry
Advances in Neural Information Processing Systems, 7435-7445, 2019
292019
Discovering Visual Patterns in Art Collections with Spatially-consistent Feature Learning
X Shen, AA Efros, M Aubry
arXiv preprint arXiv:1903.02678, 2019
202019
Fast and robust pyramid-based image processing
M Aubry, S Paris, SW Hasinoff, J Kautz, F Durand
192011
Convolutional Neural Networks for joint object detection and pose estimation: A comparative study
F Massa, M Aubry, R Marlet
arXiv preprint arXiv:1412.7190, 2014
152014
Decoupling photometry and geometry in dense variational camera calibration
M Aubry, K Kolev, B Goldluecke, D Cremers
2011 International Conference on Computer Vision, 1411-1418, 2011
142011
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