Michael Bronstein
Cited by
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Geometric deep learning: going beyond euclidean data
MM Bronstein, J Bruna, Y LeCun, A Szlam, P Vandergheynst
IEEE Signal Processing Magazine 34 (4), 18-42, 2017
Dynamic graph cnn for learning on point clouds
Y Wang, Y Sun, Z Liu, SE Sarma, MM Bronstein, JM Solomon
Acm Transactions On Graphics (tog) 38 (5), 1-12, 2019
Geometric deep learning on graphs and manifolds using mixture model cnns
F Monti, D Boscaini, J Masci, E Rodola, J Svoboda, MM Bronstein
Proceedings of the IEEE conference on computer vision and pattern …, 2017
Numerical geometry of non-rigid shapes
AM Bronstein, MM Bronstein, M Bronstein, R Kimmel
Springer-Verlag New York Inc, 2008
Three-dimensional face recognition
AM Bronstein, MM Bronstein, R Kimmel
International Journal of Computer Vision 64 (1), 5-30, 2005
LDAHash: Improved matching with smaller descriptors
C Strecha, AM Bronstein, MM Bronstein, P Fua
Pattern Analysis and Machine Intelligence, IEEE Transactions on 34 (1), 66-78, 2012
Scale-invariant heat kernel signatures for non-rigid shape recognition
MM Bronstein, I Kokkinos
International Conference on Computer Vision and Pattern Recognition, 1704-1711, 2010
Generalized multidimensional scaling: a framework for isometry-invariant partial surface matching
AM Bronstein, MM Bronstein, R Kimmel
Proceedings of the National Academy of Sciences of the United States of …, 2006
Shape google: Geometric words and expressions for invariant shape retrieval
AM Bronstein, MM Bronstein, LJ Guibas, M Ovsjanikov
ACM Transactions on Graphics (TOG) 30 (1), 1-20, 2011
Geodesic convolutional neural networks on riemannian manifolds
J Masci, D Boscaini, M Bronstein, P Vandergheynst
Proceedings of the IEEE international conference on computer vision …, 2015
Data fusion through cross-modality metric learning using similarity-sensitive hashing
MM Bronstein, AM Bronstein, F Michel, N Paragios
2010 IEEE computer society conference on computer vision and pattern …, 2010
Expression-invariant 3D face recognition
AM Bronstein, MM Bronstein, R Kimmel
Audio-and Video-Based Biometric Person Authentication, 62-70, 2003
Learning shape correspondence with anisotropic convolutional neural networks
D Boscaini, J Masci, E Rodolà, M Bronstein
Advances in neural information processing systems 29, 2016
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
A Gromov-Hausdorff framework with diffusion geometry for topologically-robust non-rigid shape matching
AM Bronstein, MM Bronstein, R Kimmel, M Mahmoudi, G Sapiro
International Journal of Computer Vision 89 (2-3), 266-286, 2010
Efficient computation of isometry-invariant distances between surfaces
AM Bronstein, MM Bronstein, R Kimmel
SIAM Journal on Scientific Computing 28 (5), 1812-1836, 2006
Multimodal similarity-preserving hashing
J Masci, MM Bronstein, AM Bronstein, J Schmidhuber
IEEE transactions on pattern analysis and machine intelligence 36 (4), 824-830, 2013
Expression-invariant representations of faces
AM Bronstein, MM Bronstein, R Kimmel
IEEE Transactions on Image Processing 16 (1), 188-197, 2006
Learning class‐specific descriptors for deformable shapes using localized spectral convolutional networks
D Boscaini, J Masci, S Melzi, MM Bronstein, U Castellani, ...
Computer Graphics Forum 34 (5), 13-23, 2015
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