| Unsupervised Domain Adaptation by Domain Invariant Projection M Baktashmotlagh, MT Harandi, BC Lovell, M Salzmann International Conference on Computer Vision (ICCV), 2013 | 351 | 2013 |
| Discrete-continuous depth estimation from a single image M Liu, M Salzmann, X He Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 302 | 2014 |
| Kernel methods on the Riemannian manifold of symmetric positive definite matrices S Jayasumana, R Hartley, M Salzmann, H Li, M Harandi Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 276 | 2013 |
| Learning the number of neurons in deep networks JM Alvarez, M Salzmann arXiv preprint arXiv:1611.06321, 2016 | 268 | 2016 |
| Beyond sharing weights for deep domain adaptation A Rozantsev, M Salzmann, P Fua IEEE transactions on pattern analysis and machine intelligence 41 (4), 801-814, 2018 | 258 | 2018 |
| Deep subspace clustering networks P Ji, T Zhang, H Li, M Salzmann, I Reid arXiv preprint arXiv:1709.02508, 2017 | 197 | 2017 |
| Learning cross-modality similarity for multinomial data Y Jia, M Salzmann, T Darrell 2011 International Conference on Computer Vision, 2407-2414, 2011 | 197 | 2011 |
| Structured prediction of 3d human pose with deep neural networks B Tekin, I Katircioglu, M Salzmann, V Lepetit, P Fua arXiv preprint arXiv:1605.05180, 2016 | 187 | 2016 |
| Factorized Latent Spaces with Structured Sparsity. Y Jia, M Salzmann, T Darrell NIPS 10, 982-990, 2010 | 183 | 2010 |
| From manifold to manifold: Geometry-aware dimensionality reduction for SPD matrices MT Harandi, M Salzmann, R Hartley European conference on computer vision, 17-32, 2014 | 173 | 2014 |
| Learning to fuse 2d and 3d image cues for monocular body pose estimation B Tekin, P Márquez-Neila, M Salzmann, P Fua Proceedings of the IEEE International Conference on Computer Vision, 3941-3950, 2017 | 152 | 2017 |
| Kernel methods on Riemannian manifolds with Gaussian RBF kernels S Jayasumana, R Hartley, M Salzmann, H Li, M Harandi IEEE transactions on pattern analysis and machine intelligence 37 (12), 2464 …, 2015 | 151 | 2015 |
| Context-aware crowd counting W Liu, M Salzmann, P Fua Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 150 | 2019 |
| Convex optimization for deformable surface 3-d tracking M Salzmann, R Hartley, P Fua 2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007 | 150 | 2007 |
| Surface deformation models for nonrigid 3D shape recovery M Salzmann, J Pilet, S Ilic, P Fua IEEE transactions on pattern analysis and machine intelligence 29 (8), 1481-1487, 2007 | 147 | 2007 |
| Local deformation models for monocular 3D shape recovery M Salzmann, R Urtasun, P Fua 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008 | 133 | 2008 |
| Learning to find good correspondences KM Yi, E Trulls, Y Ono, V Lepetit, M Salzmann, P Fua Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 131 | 2018 |
| Evaluating the search phase of neural architecture search C Sciuto, K Yu, M Jaggi, C Musat, M Salzmann arXiv preprint arXiv:1902.08142 2 (3), 2019 | 127 | 2019 |
| Compression-aware training of deep networks JM Alvarez, M Salzmann arXiv preprint arXiv:1711.02638, 2017 | 127 | 2017 |
| Dimensionality reduction on SPD manifolds: The emergence of geometry-aware methods M Harandi, M Salzmann, R Hartley IEEE transactions on pattern analysis and machine intelligence 40 (1), 48-62, 2017 | 123 | 2017 |
Pascal FuaProfessor Computer Science, EPFLVerified email at epfl.ch
