| 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 | 617 | 2011 |
| 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 | 486 | 2014 |
| 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 | 443 | 2018 |
| 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 | 255 | 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 J Mahler, FT Pokorny, B Hou, M Roderick, M Laskey, M Aubry, K Kohlhoff, ... | 230 | 2016 |
| 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 | 159 | 2014 |
| Understanding deep features with computer-generated imagery M Aubry, BC Russell Proceedings of the IEEE International Conference on Computer Vision, 2875-2883, 2015 | 124 | 2015 |
| 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 | 111 | 2014 |
| 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 | 99 | 2018 |
| 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 | 97 | 2016 |
| Crafting a multi-task CNN for viewpoint estimation F Massa, R Marlet, M Aubry arXiv preprint arXiv:1609.03894, 2016 | 60 | 2016 |
| 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 | 55 | 2014 |
| 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 | 52 | 2019 |
| 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 | 50 | 2018 |
| Anisotropic Laplace-Beltrami Operators for Shape Analysis M Andreux, E Rodola, M Aubry, D Cremers Computer Vision-ECCV 2014 Workshops, 299-312, 2014 | 46 | 2014 |
| 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 | 35 | 2011 |
| Discovering Visual Patterns in Art Collections with Spatially-consistent Feature Learning X Shen, AA Efros, M Aubry arXiv preprint arXiv:1903.02678, 2019 | 34 | 2019 |
| Fast and robust pyramid-based image processing M Aubry, S Paris, SW Hasinoff, J Kautz, F Durand | 19 | 2011 |
| 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 | 17 | 2014 |
| CosyPose: Consistent multi-view multi-object 6D pose estimation Y Labbé, J Carpentier, M Aubry, J Sivic European Conference on Computer Vision, 574-591, 2020 | 16 | 2020 |
Bryan RussellResearcher, AdobeVerified email at adobe.com
