Xavier Bresson

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Pierre VandergheynstProfessor of Electrical Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL)Verified email at epfl.ch
Thomas LaurentProfessor of Mathematics, Loyola Marymount UniversityVerified email at lmu.edu
T F ChanPresident, King Abdullah University of Science & TechnologyVerified email at kaust.edu.sa
S osherVerified email at math.ucla.edu
Michael BronsteinImperial College London / Twitter / University of LuganoVerified email at imperial.ac.uk
Michaël DefferrardPhD student, LTS2, EPFLVerified email at epfl.ch
Patric HagmannProfessor of Radiology, University Hospital Lausanne, SwitzerlandVerified email at chuv.ch
James von BrechtAssistant ProfessorVerified email at csulb.edu
Arthur SzlamFacebook AI ResearchVerified email at fb.com
Federico MontiUniversità della Svizzera italianaVerified email at usi.ch
Selim EsedogluProfessor of Mathematics, University of MichiganVerified email at umich.edu
Tom GoldsteinPerotto Associate Professor of Computer Science, University of MarylandVerified email at cs.umd.edu
Virginia EstellersMicrosoftVerified email at microsoft.com
David UminskyUniversity of ChicagoVerified email at uchicago.edu
Ron LeviePostdoctoral researcher, Mathematisches Institut der Universität MünchenVerified email at math.lmu.de
Xiaoqun ZhangShanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Martin BurgerFriedrich-Alexander Universität Erlangen-NürnbergVerified email at fau.de
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
Dejan SlepčevProfessor of Mathematical Sciences, Carnegie Mellon UniversityVerified email at math.cmu.edu
Nicolás García TrillosAssistant Professor, Department of Statistics, University of Wisconsin-MadisonVerified email at wisc.edu

Xavier Bresson

Prof of Computer Science, NUS, Singapore

Verified email at nus.edu.sg - Homepage

Graph Deep Learning Graph Neural Networks Data Science Sparse Convex Optimization Spectral Graph Theory


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Convolutional neural networks on graphs with fast localized spectral filtering M Defferrard, X Bresson, P Vandergheynst Advances in neural information processing systems 29, 3844-3852, 2016	4001	2016
Fast global minimization of the active contour/snake model X Bresson, S Esedoḡlu, P Vandergheynst, JP Thiran, S Osher Journal of Mathematical Imaging and vision 28 (2), 151-167, 2007	1093	2007
Bregmanized nonlocal regularization for deconvolution and sparse reconstruction X Zhang, M Burger, X Bresson, S Osher SIAM Journal on Imaging Sciences 3 (3), 253-276, 2010	741	2010
Geometric applications of the split Bregman method: segmentation and surface reconstruction T Goldstein, X Bresson, S Osher Journal of scientific computing 45 (1), 272-293, 2010	551	2010
Fast dual minimization of the vectorial total variation norm and applications to color image processing X Bresson, TF Chan Inverse Problems & Imaging 2 (4), 455, 2008	421	2008
Cayleynets: Graph convolutional neural networks with complex rational spectral filters R Levie, F Monti, X Bresson, MM Bronstein IEEE Transactions on Signal Processing 67 (1), 97-109, 2018	344	2018
Geometric matrix completion with recurrent multi-graph neural networks F Monti, MM Bronstein, X Bresson arXiv preprint arXiv:1704.06803, 2017	325	2017
Local histogram based segmentation using the Wasserstein distance K Ni, X Bresson, T Chan, S Esedoglu International journal of computer vision 84 (1), 97-111, 2009	271	2009
Structured sequence modeling with graph convolutional recurrent networks Y Seo, M Defferrard, P Vandergheynst, X Bresson International Conference on Neural Information Processing, 362-373, 2018	266	2018
Fma: A dataset for music analysis M Defferrard, K Benzi, P Vandergheynst, X Bresson arXiv preprint arXiv:1612.01840, 2016	217*	2016
A variational model for object segmentation using boundary information and shape prior driven by the Mumford-Shah functional X Bresson, P Vandergheynst, JP Thiran International Journal of Computer Vision 68 (2), 145-162, 2006	213	2006
Benchmarking graph neural networks VP Dwivedi, CK Joshi, T Laurent, Y Bengio, X Bresson arXiv preprint arXiv:2003.00982, 2020	211	2020
Completely convex formulation of the Chan-Vese image segmentation model ES Brown, TF Chan, X Bresson International journal of computer vision 98 (1), 103-121, 2012	210	2012
Matrix completion on graphs V Kalofolias, X Bresson, M Bronstein, P Vandergheynst arXiv preprint arXiv:1408.1717, 2014	175	2014
Evaluation and comparison of current fetal ultrasound image segmentation methods for biometric measurements: a grand challenge S Rueda, S Fathima, CL Knight, M Yaqub, AT Papageorghiou, ... IEEE Transactions on medical imaging 33 (4), 797-813, 2013	125	2013
Nonlocal Mumford-Shah regularizers for color image restoration M Jung, X Bresson, TF Chan, LA Vese IEEE transactions on image processing 20 (6), 1583-1598, 2010	121	2010
Robust principal component analysis on graphs N Shahid, V Kalofolias, X Bresson, M Bronstein, P Vandergheynst Proceedings of the IEEE International Conference on Computer Vision, 2812-2820, 2015	113	2015
Total variation, cheeger cuts A Szlam, X Bresson ICML, 2010	112	2010
White matter fiber tract segmentation in DT-MRI using geometric flows L Jonasson, X Bresson, P Hagmann, O Cuisenaire, R Meuli, JP Thiran Medical Image Analysis 9 (3), 223-236, 2005	107	2005
Residual gated graph convnets X Bresson, T Laurent arXiv preprint arXiv:1711.07553, 2017	105	2017

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