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
3372013
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
2892014
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
2712013
Learning the number of neurons in deep networks
JM Alvarez, M Salzmann
Advances in Neural Information Processing Systems 29, 2270-2278, 2016
2582016
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
2502018
Learning cross-modality similarity for multinomial data
Y Jia, M Salzmann, T Darrell
2011 International Conference on Computer Vision, 2407-2414, 2011
1932011
Deep subspace clustering networks
P Ji, T Zhang, H Li, M Salzmann, I Reid
Advances in neural information processing systems, 24-33, 2017
1872017
Factorized latent spaces with structured sparsity
Y Jia, M Salzmann, T Darrell
Advances in neural information processing systems, 982-990, 2010
1832010
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
1702016
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
1652014
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
1462017
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
1392015
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
1382007
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
1382007
Context-aware crowd counting
W Liu, M Salzmann, P Fua
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
1342019
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
1282008
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
1252018
Compression-aware training of deep networks
JM Alvarez, M Salzmann
Advances in neural information processing systems, 856-867, 2017
1212017
Unsupervised geometry-aware representation for 3d human pose estimation
H Rhodin, M Salzmann, P Fua
Proceedings of the European Conference on Computer Vision (ECCV), 750-767, 2018
1202018
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
1192017
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