Articles with public access mandates - Mathieu SalzmannLearn more
Not available anywhere: 5
Geometry-aware deep recurrent neural networks for hyperspectral image classification
S Hao, W Wang, M Salzmann
IEEE Transactions on Geoscience and Remote Sensing 59 (3), 2448-2460, 2020
Mandates: National Natural Science Foundation of China
Discriminative non-linear stationary subspace analysis for video classification
M Baktashmotlagh, M Harandi, BC Lovell, M Salzmann
IEEE transactions on pattern analysis and machine intelligence 36 (12), 2353 …, 2014
Mandates: Australian Research Council
Semantic labeling for prosthetic vision
L Horne, J Alvarez, C McCarthy, M Salzmann, N Barnes
Computer Vision and Image Understanding 149, 113-125, 2016
Mandates: Australian Research Council
Visual correspondences for unsupervised domain adaptation on electron microscopy images
R Bermúdez-Chacón, O Altingövde, C Becker, M Salzmann, P Fua
IEEE transactions on medical imaging 39 (4), 1256-1267, 2019
Mandates: Swiss National Science Foundation
Universal, transferable adversarial perturbations for visual object trackers
KK Nakka, M Salzmann
European Conference on Computer Vision, 413-429, 2022
Mandates: Swiss National Science Foundation
Available somewhere: 103
Deep subspace clustering networks
P Ji, T Zhang, H Li, M Salzmann, I Reid
Advances in neural information processing systems 30, 2017
Mandates: Australian Research Council
Learning trajectory dependencies for human motion prediction
W Mao, M Liu, M Salzmann, H Li
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
Mandates: Australian Research Council
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
Mandates: Australian Research Council
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
Mandates: Swiss National Science Foundation
History repeats itself: Human motion prediction via motion attention
W Mao, M Liu, M Salzmann
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Mandates: Australian Research Council
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
Mandates: Australian Research Council
From manifold to manifold: Geometry-aware dimensionality reduction for SPD matrices
MT Harandi, M Salzmann, R Hartley
Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014
Mandates: Australian Research Council
Efficient Dense Subspace Clustering
P Ji, M Salzmann, H Li
Winter Conference on Applications of Computer Vision (WACV), 2014
Mandates: Australian Research Council
Detecting the unexpected via image resynthesis
K Lis, K Nakka, P Fua, M Salzmann
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
Mandates: Swiss National Science Foundation
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
Mandates: Swiss National Science Foundation
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
Mandates: Swiss National Science Foundation
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
Mandates: Swiss National Science Foundation
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
Mandates: Swiss National Science Foundation
A stochastic conditioning scheme for diverse human motion prediction
S Aliakbarian, FS Saleh, M Salzmann, L Petersson, S Gould
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
Mandates: Australian Research Council
Bregman divergences for infinite dimensional covariance matrices
M Harandi, M Salzmann, F Porikli
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
Mandates: Australian Research Council
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