Mathieu Salzmann
Mathieu Salzmann
Verified email at epfl.ch - Homepage
Title
Cited by
Cited by
Year
Unsupervised Domain Adaptation by Domain Invariant Projection
M Baktashmotlagh, MT Harandi, BC Lovell, M Salzmann
International Conference on Computer Vision (ICCV), 2013
2982013
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
2622013
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
2582014
Learning the number of neurons in deep networks
JM Alvarez, M Salzmann
Advances in Neural Information Processing Systems, 2270-2278, 2016
2232016
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
1902018
Learning cross-modality similarity for multinomial data
Y Jia, M Salzmann, T Darrell
2011 International Conference on Computer Vision, 2407-2414, 2011
1862011
Factorized latent spaces with structured sparsity
Y Jia, M Salzmann, T Darrell
Advances in Neural Information Processing Systems, 982-990, 2010
1732010
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
1552014
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
1472016
Deep subspace clustering networks
P Ji, T Zhang, H Li, M Salzmann, I Reid
Advances in Neural Information Processing Systems, 24-33, 2017
1362017
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
1332007
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
1332007
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
1262017
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
1262008
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
1222015
Closed-form solution to non-rigid 3D surface registration
M Salzmann, F Moreno-Noguer, V Lepetit, P Fua
European conference on computer vision, 581-594, 2008
1082008
Linear local models for monocular reconstruction of deformable surfaces
M Salzmann, P Fua
IEEE Transactions on Pattern Analysis and Machine Intelligence 33 (5), 931-944, 2010
1032010
Learning to find good correspondences
K Moo Yi, E Trulls, Y Ono, V Lepetit, M Salzmann, P Fua
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
992018
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
992017
Built-in foreground/background prior for weakly-supervised semantic segmentation
F Saleh, MS Aliakbarian, M Salzmann, L Petersson, S Gould, JM Alvarez
European Conference on Computer Vision, 413-432, 2016
972016
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