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
3822013
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
3352014
Learning the number of neurons in deep networks
JM Alvarez, M Salzmann
Advances in Neural Information Processing Systems, 2270-2278, 2016
3002016
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
2982018
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
2962013
Deep subspace clustering networks
P Ji, T Zhang, H Li, M Salzmann, I Reid
arXiv preprint arXiv:1709.02508, 2017
2542017
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
2092016
Learning cross-modality similarity for multinomial data
Y Jia, M Salzmann, T Darrell
2011 International Conference on Computer Vision, 2407-2414, 2011
2052011
Context-aware crowd counting
W Liu, M Salzmann, P Fua
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
2042019
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
1872014
Factorized Latent Spaces with Structured Sparsity.
Y Jia, M Salzmann, T Darrell
NIPS 10, 982-990, 2010
1872010
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
1712017
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
1692018
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
1682019
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
1662015
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
1542007
Compression-aware training of deep networks
JM Alvarez, M Salzmann
Advances in neural information processing systems 30, 856-867, 2017
1482017
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
1482007
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
1452018
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
1372016
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