| 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 | 1198 | 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 | 763 | 2019 |
| Three-dimensional face recognition AM Bronstein, MM Bronstein, R Kimmel International Journal of Computer Vision 64 (1), 5-30, 2005 | 713 | 2005 |
| Numerical geometry of non-rigid shapes AM Bronstein, MM Bronstein, M Bronstein, R Kimmel Springer-Verlag New York Inc, 2008 | 709 | 2008 |
| 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 | 697 | 2017 |
| 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 | 614 | 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 | 587* | 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 | 586 | 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 | 582 | 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 | 485 | 2015 |
| Expression-invariant 3D face recognition AM Bronstein, MM Bronstein, R Kimmel Audio-and Video-Based Biometric Person Authentication, 62-70, 2003 | 405 | 2003 |
| 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 | 392 | 2010 |
| Learning shape correspondence with anisotropic convolutional neural networks D Boscaini, J Masci, E Rodolà, M Bronstein Advances in neural information processing systems, 3189-3197, 2016 | 315 | 2016 |
| 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 | 297 | 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 | 261 | 2006 |
| Expression-invariant representations of faces AM Bronstein, MM Bronstein, R Kimmel IEEE Transactions on Image Processing 16 (1), 188-197, 2006 | 196 | 2006 |
| 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 | 193 | 2018 |
| Systems and methods for remote control of interactive video SS Rakib, A Bronstein, M Bronstein, GBM Devictor US Patent 8,875,212, 2014 | 189 | 2014 |
| Systems and methods for remote control of interactive video SS Rakib, A Bronstein, M Bronstein, GBM Devictor US Patent 20,090,327,894, 0 | 189* | |
| Shape google: a computer vision approach to isometry invariant shape retrieval M Ovsjanikov, AM Bronstein, MM Bronstein, LJ Guibas Workshop on Nonrigid Shape Analysis and Deformable Image Alignment …, 2009 | 186* | 2009 |
Alex BronsteinTechnion, Department of Computer ScienceVerified email at technion.ac.il
