Mathieu Salzmann

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Pascal FuaProfessor Computer Science, EPFLVerified email at epfl.ch
Mehrtash HarandiMonash UniversityVerified email at monash.edu
Hongdong LiAustralian National UniversityVerified email at anu.edu.au
Lars PeterssonPrincipal Research Scientist, Team Leader, Data61/CSIROVerified email at data61.csiro.au
Jose M. AlvarezNVIDIAVerified email at nvidia.com
Richard HartleyAustralian National University, National ICT Australia (NICTA)Verified email at anu.edu.au
Fatemeh SalehSamsung AI CenterVerified email at samsung.com
Sadegh AliakbarianMicrosoftVerified email at microsoft.com
Raquel UrtasunProfessor, University of Toronto. Chief Scientist, Uber ATGVerified email at cs.toronto.edu
Xuming HeShanghaiTech UniversityVerified email at shanghaitech.edu.cn
Miaomiao LiuAustralian National UniversityVerified email at anu.edu.au
Stephen GouldProfessor at Australian National University | Scholar at AmazonVerified email at anu.edu.au
Vincent LepetitENPC ParisTech, TU GrazVerified email at enpc.fr
Mahsa BaktashmotlaghUniversity of QueenslandVerified email at uq.edu.au
Pan JiPh.D., InnoPeak TechnologyVerified email at innopeaktech.com
Helge RhodinAssistant Professor at UBCVerified email at cs.ubc.ca
Sadeep JayasumanaResearch Scientist, Google ResearchVerified email at google.com
Kaicheng YuCVLab, EPFLVerified email at epfl.ch
Trevor DarrellProfessor of Computer Science, U.C. BerkeleyVerified email at eecs.berkeley.edu
Victor ConstantinScientific Assistant, EPFLVerified email at epfl.ch

Mathieu Salzmann

EPFL

Verified email at epfl.ch - Homepage

Computer vision machine learning


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Unsupervised Domain Adaptation by Domain Invariant Projection M Baktashmotlagh, MT Harandi, BC Lovell, M Salzmann International Conference on Computer Vision (ICCV), 2013	370	2013
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	324	2014
Learning the number of neurons in deep networks JM Alvarez, M Salzmann arXiv preprint arXiv:1611.06321, 2016	292	2016
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	291	2018
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	285	2013
Deep subspace clustering networks P Ji, T Zhang, H Li, M Salzmann, I Reid arXiv preprint arXiv:1709.02508, 2017	241	2017
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	206	2016
Learning cross-modality similarity for multinomial data Y Jia, M Salzmann, T Darrell 2011 International Conference on Computer Vision, 2407-2414, 2011	203	2011
Context-aware crowd counting W Liu, M Salzmann, P Fua Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	194	2019
Factorized Latent Spaces with Structured Sparsity. Y Jia, M Salzmann, T Darrell NIPS 10, 982-990, 2010	185	2010
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	182	2014
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	171	2017
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	159	2015
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	154	2018
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	151	2019
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	151	2007
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	148	2007
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	144	2018
Compression-aware training of deep networks JM Alvarez, M Salzmann arXiv preprint arXiv:1711.02638, 2017	141	2017
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	133	2008

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