Mathieu Salzmann
Mathieu Salzmann
Vahvistettu sähköpostiosoite verkkotunnuksessa epfl.ch - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Unsupervised Domain Adaptation by Domain Invariant Projection
M Baktashmotlagh, MT Harandi, BC Lovell, M Salzmann
International Conference on Computer Vision (ICCV), 2013
4172013
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
3652014
Learning the number of neurons in deep networks
JM Alvarez, M Salzmann
Advances in Neural Information Processing Systems, 2270-2278, 2016
3332016
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
3292018
Deep subspace clustering networks
P Ji, T Zhang, H Li, M Salzmann, I Reid
arXiv preprint arXiv:1709.02508, 2017
3132017
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
3112013
Context-aware crowd counting
W Liu, M Salzmann, P Fua
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
2862019
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
2382018
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
2352016
Evaluating the search phase of neural architecture search
K Yu, C Sciuto, M Jaggi, C Musat, M Salzmann
arXiv preprint arXiv:1902.08142, 2019
2172019
Learning cross-modality similarity for multinomial data
Y Jia, M Salzmann, T Darrell
2011 International Conference on Computer Vision, 2407-2414, 2011
2152011
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
1972014
Factorized Latent Spaces with Structured Sparsity.
Y Jia, M Salzmann, T Darrell
NIPS 10, 982-990, 2010
1942010
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
1922018
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
1922017
Compression-aware training of deep networks
JM Alvarez, M Salzmann
Advances in neural information processing systems 30, 856-867, 2017
1912017
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
1772015
Learning monocular 3d human pose estimation from multi-view images
H Rhodin, J Spörri, I Katircioglu, V Constantin, F Meyer, E Müller, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
1582018
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
1552007
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
1512007
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