Xavier Bresson
Xavier Bresson
Prof of Computer Science, NUS, Singapore
Verified email at nus.edu.sg - Homepage
Cited by
Cited by
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
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
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
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
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
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
Geometric matrix completion with recurrent multi-graph neural networks
F Monti, MM Bronstein, X Bresson
arXiv preprint arXiv:1704.06803, 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
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
Fma: A dataset for music analysis
M Defferrard, K Benzi, P Vandergheynst, X Bresson
arXiv preprint arXiv:1612.01840, 2016
Benchmarking graph neural networks
VP Dwivedi, CK Joshi, T Laurent, Y Bengio, X Bresson
arXiv preprint arXiv:2003.00982, 2020
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
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
Matrix completion on graphs
V Kalofolias, X Bresson, M Bronstein, P Vandergheynst
arXiv preprint arXiv:1408.1717, 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
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
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
Total variation, cheeger cuts
A Szlam, X Bresson
ICML, 2010
Residual gated graph convnets
X Bresson, T Laurent
arXiv preprint arXiv:1711.07553, 2017
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
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