Mathieu Salzmann

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Citations	15653	12520
h-index	62	55
i10-index	165	149

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Pascal FuaProfessor Computer Science, EPFLVerified email at epfl.ch
Hongdong LiProfessor of Computer Vision and Learning, Australian National UniversityVerified email at anu.edu.au
Mehrtash HarandiDepartment of Electrical and Computer Systems Engineering, Monash UniversityVerified email at monash.edu
Jose M. AlvarezNVIDIAVerified email at nvidia.com
Lars PeterssonSenior Principal Research Scientist, Group Leader, Data61/CSIROVerified email at data61.csiro.au
Richard HartleyAustralian National University, National ICT Australia (NICTA)Verified email at anu.edu.au
Fatemeh SalehMicrosoftVerified email at microsoft.com
Sadegh AliakbarianMicrosoftVerified email at microsoft.com
Miaomiao LiuAustralian National UniversityVerified email at anu.edu.au
Yinlin HuResearcher at MagicLeapVerified email at magicleap.com
Raquel UrtasunFounder & CEO Waabi, Professor, University of Toronto.Verified email at cs.toronto.edu
Stephen GouldProfessor at Australian National University | Scholar at AmazonVerified email at anu.edu.au
Vincent LepetitEcole des Ponts ParisTechVerified email at enpc.fr
Helge RhodinAssistant Professor at UBCVerified email at cs.ubc.ca
Xuming HeShanghaiTech UniversityVerified email at shanghaitech.edu.cn
Mahsa BaktashmotlaghARC Future Fellow and Senior Lecturer at the University of QueenslandVerified email at uq.edu.au
Kaicheng YuAutonomous Intelligence Lab, Westlake UniversityVerified email at westlake.edu.cn
Sabine SüsstrunkProfessor, Images and Visual Representation Lab, EPFLVerified email at epfl.ch
Pan JiPh.D., Tencent XR Vision LabsVerified email at tencent.com
Isinsu KatirciogluSr. Data Scientist, Swiss Data Science CenterVerified email at epfl.ch

Mathieu Salzmann

EPFL

Verified email at epfl.ch - Homepage

Computer vision machine learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Context-aware crowd counting W Liu, M Salzmann, P Fua Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019	591	2019
Deep subspace clustering networks P Ji, T Zhang, H Li, M Salzmann, I Reid Advances in neural information processing systems 30, 2017	542	2017
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	522	2018
Unsupervised Domain Adaptation by Domain Invariant Projection M Baktashmotlagh, MT Harandi, BC Lovell, M Salzmann International Conference on Computer Vision (ICCV), 2013	507	2013
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	491	2018
Learning the number of neurons in deep networks JM Alvarez, M Salzmann Advances in neural information processing systems 29, 2016	457	2016
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	449	2014
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	355	2019
Evaluating the search phase of neural architecture search K Yu, C Sciuto, M Jaggi, C Musat, M Salzmann arXiv preprint arXiv:1902.08142, 2019	354	2019
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	345	2013
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	309	2016
Compression-aware training of deep networks JM Alvarez, M Salzmann Advances in neural information processing systems 30, 2017	308	2017
Segmentation-driven 6d object pose estimation Y Hu, J Hugonot, P Fua, M Salzmann Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	306	2019
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	280	2017
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	275	2018
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	254	2018
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	243	2015
Learning cross-modality similarity for multinomial data Y Jia, M Salzmann, T Darrell 2011 International Conference on Computer Vision, 2407-2414, 2011	229	2011
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	227	2014
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	220	2020

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