| Dreaming More Data: Class-dependent Distributions over Diffeomorphisms for Learned Data Augmentation S Hauberg, O Freifeld, ABL Larsen, JW Fisher III, LK Hansen The 19th International Conference on Artificial Intelligence and Statistics …, 2016 | 180 | 2016 |
| Lie Bodies: A Manifold Representation of 3D Human Shape O Freifeld, MJ Black European Conf. on Computer Vision (ECCV), Part I, LNCS 7572, 1-14, 2012 | 116 | 2012 |
| A Geometric take on Metric Learning S Hauberg, O Freifeld, MJ Black Neural Information Processing Systems (NIPS), 2012 | 89 | 2012 |
| A Mixture of Manhattan Frames: Beyond the Manhattan World J Straub, G Rosman, O Freifeld, J Leonard, JW Fisher III Computer Vision and Pattern Recognition (CVPR), IEEE Conference on, 2014 | 87 | 2014 |
| From Pictorial Structures to Deformable Structures S Zuffi, O Freifeld, MJ Black Computer Vision and Pattern Recognition (CVPR), IEEE Conference on, 2012 | 83 | 2012 |
| Contour people: A parameterized model of 2D articulated human shape O Freifeld, A Weiss, S Zuffi, MJ Black 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 79 | 2010 |
| A 2d human body model dressed in eigen clothing P Guan, O Freifeld, M Black European Conference on Computer Vision (ECCV), 285-298, 2010 | 74 | 2010 |
| Multiple sclerosis lesion detection using constrained GMM and curve evolution O Freifeld, H Greenspan, J Goldberger International Journal of Biomedical Imaging 2009, 14, 2009 | 68 | 2009 |
| A freely-moving monkey treadmill model JD Foster, P Nuyujukian, O Freifeld, H Gao, R Walker, SI Ryu, TH Meng, ... Journal of Neural Engineering, 2014 | 67 | 2014 |
| DeepDPM: Deep Clustering With an Unknown Number of Clusters M Ronen, SE Finder, O Freifeld Computer Vision and Pattern Recognition (CVPR), 2022 | 64 | 2022 |
| The Manhattan frame model—Manhattan world inference in the space of surface normals J Straub, O Freifeld, G Rosman, JJ Leonard, JW Fisher IEEE transactions on pattern analysis and machine intelligence 40 (1), 235-249, 2018 | 63 | 2018 |
| A Dirichlet Process Mixture Model for Spherical Data J Straub, J Chang, O Freifeld, JW Fisher III The 18th International Conference on Artificial Intelligence and Statistics …, 2015 | 61 | 2015 |
| Deep Diffeomorphic Transformer Networks N Skafte Detlefsen, O Freifeld, S Hauberg Computer Vision and Pattern Recognition (CVPR), 4403-4412, 2018 | 53* | 2018 |
| Bayesian Adaptive Superpixel Segmentation R Uziel, M Ronen, O Freifeld International Conference on Computer Vision (ICCV), 2019 | 51 | 2019 |
| Lesion detection in noisy MR brain images using constrained GMM and active contours O Freifeld, H Greenspan, J Goldberger International Symposium on Biomedical Imaging (ISBI), 596-599, 2007 | 47 | 2007 |
| Parameterized model of 2D articulated human shape MJ Black, O Freifeld, AW Weiss, MM Loper, P Guan US Patent 9,292,967, 2016 | 40 | 2016 |
| Diffeomorphic Temporal Alignment Nets RAS Weber, M Eyal, N Skafte, O Shriki, O Freifeld Advances in Neural Information Processing Systems (NeurIPS), 6574-6585, 2019 | 35* | 2019 |
| Transformations based on continuous piecewise-affine velocity fields O Freifeld, S Hauberg, K Batmanghelich, JW Fisher IEEE transactions on pattern analysis and machine intelligence 39 (12), 2496 …, 2017 | 34 | 2017 |
| Highly-Expressive Spaces of Well-Behaved Transformations: Keeping It Simple O Freifeld, S Hauberg, K Batmanghelich, JW Fisher III International Conference on Computer Vision (ICCV), 2911-2919, 2015 | 32 | 2015 |
| Model Transport: Towards Scalable Transfer Learning on Manifolds O Freifeld, S Hauberg, MJ Black Computer Vision and Pattern Recognition (CVPR), IEEE Conference on, 2014 | 30 | 2014 |
Michael J. BlackMax Planck Institute for Intelligent Systems在 tuebingen.mpg.de 的电子邮件经过验证
