| Numerical geometry of non-rigid shapes AM Bronstein, MM Bronstein, R Kimmel Springer Science & Business Media, 2008 | 958 | 2008 |
| Three-dimensional face recognition AM Bronstein, MM Bronstein, R Kimmel International Journal of Computer Vision 64 (1), 5-30, 2005 | 762 | 2005 |
| LDAHash: Improved matching with smaller descriptors C Strecha, A Bronstein, M Bronstein, P Fua IEEE transactions on pattern analysis and machine intelligence 34 (1), 66-78, 2011 | 720 | 2011 |
| 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 | 705 | 2011 |
| Generalized multidimensional scaling: a framework for isometry-invariant partial surface matching AM Bronstein, MM Bronstein, R Kimmel Proceedings of the National Academy of Sciences 103 (5), 1168-1172, 2006 | 704 | 2006 |
| 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 | 556 | 2010 |
| Expression-invariant 3D face recognition AM Bronstein, MM Bronstein, R Kimmel international conference on Audio-and video-based biometric person …, 2003 | 430 | 2003 |
| Repmet: Representative-based metric learning for classification and few-shot object detection L Karlinsky, J Shtok, S Harary, E Schwartz, A Aides, R Feris, R Giryes, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 428 | 2019 |
| Delta-encoder: an effective sample synthesis method for few-shot object recognition E Schwartz, L Karlinsky, J Shtok, S Harary, M Marder, A Kumar, R Feris, ... Advances in neural information processing systems 31, 2018 | 426 | 2018 |
| 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), 266-286, 2010 | 350 | 2010 |
| Efficient computation of isometry-invariant distances between surfaces AM Bronstein, MM Bronstein, R Kimmel SIAM Journal on Scientific Computing 28 (5), 1812, 2007 | 317 | 2007 |
| Deep functional maps: Structured prediction for dense shape correspondence O Litany, T Remez, E Rodola, A Bronstein, M Bronstein Proceedings of the IEEE international conference on computer vision, 5659-5667, 2017 | 301 | 2017 |
| Deformable shape completion with graph convolutional autoencoders O Litany, A Bronstein, M Bronstein, A Makadia Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 262 | 2018 |
| Learning efficient sparse and low rank models P Sprechmann, AM Bronstein, G Sapiro IEEE transactions on pattern analysis and machine intelligence 37 (9), 1821-1833, 2015 | 261* | 2015 |
| Learning spectral descriptors for deformable shape correspondence R Litman, A Bronstein IEEE Trans. Patten Analysis and Machine Intelligence, 2013 | 257* | 2013 |
| Systems and methods for remote control of interactive video GBMD SS Rakib, A Bronstein, M Bronstein US Patent 8,875,212, 0 | 250* | |
| Deepisp: Toward learning an end-to-end image processing pipeline E Schwartz, R Giryes, AM Bronstein IEEE Transactions on Image Processing 28 (2), 912-923, 2018 | 241 | 2018 |
| Deep neural networks with random gaussian weights: A universal classification strategy? R Giryes, G Sapiro, AM Bronstein IEEE Transactions on Signal Processing 64 (13), 3444-3457, 2016 | 238 | 2016 |
| 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 | 224 | 2013 |
| Coupled quasi‐harmonic bases A Kovnatsky, MM Bronstein, AM Bronstein, K Glashoff, R Kimmel Computer Graphics Forum 32 (2pt4), 439-448, 2013 | 215 | 2013 |
Michael BronsteinDeepMind Professor of AI, University of Oxford在 cs.ox.ac.uk 的电子邮件经过验证
