Alex Bronstein

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Michael BronsteinDeepMind Professor of AI, University of Oxford / Head Graph ML Research, TwitterVerified email at cs.ox.ac.uk
Ron KimmelProf. of CS (& ECE) Technion, CSO of Lumix.AI, IsraelVerified email at cs.technion.ac.il
Michael ZibulevskyAdjunct Professor of Computer Science, Technion - Israel Institute of TechnologyVerified email at cs.technion.ac.il
Guillermo SapiroJames B. Duke Professor, Duke University; Distinguished Engineer, Health AI Lead, Apple, Inc.Verified email at duke.edu
Raja GiryesAssociate Professor, Tel Aviv UniversityVerified email at tauex.tau.ac.il
Or LitanyResearch Scientist, NVIDIAVerified email at nvidia.com
Roee LitmanVerified email at tau.ac.il
Emanuele RodolàProfessor of Computer Science, Sapienza University of RomeVerified email at di.uniroma1.it
Maks OvsjanikovProfessor, Ecole PolytechniqueVerified email at lix.polytechnique.fr
Pablo SprechmannResearch Scientist at Google DeepMindVerified email at google.com
Tal RemezAI Researcher, Facebook AI Research (FAIR)Verified email at fb.com
Leonidas GuibasProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Dan RavivFaculty, School of Electrical Engineering, Faculty of Engineering, Tel Aviv UniversityVerified email at tauex.tau.ac.il
Guy RosmanToyota Research Institute; Massachusetts General HospitalVerified email at csail.mit.edu
Artiom KovnatskyUniversity of LuganoVerified email at usi.ch
Alfred BrucksteinOllendorff Chair in Science, Technion, IIT, Haifa, IsraelVerified email at cs.technion.ac.il
Daniel CremersTechnical University of MunichVerified email at tum.de
Umberto CastellaniDipartimento di Informatica, University of VeronaVerified email at univr.it
Michela SpagnuoloCNR- IMATIVerified email at ge.imati.cnr.it
Radu Patrice HoraudEmeritus (since October 2022) at Inria GrenobleVerified email at inria.fr

Alex Bronstein

Technion, Department of Computer Science

Verified email at technion.ac.il - Homepage

Numerical geometry computer vision machine learning deformable shapes sparse models


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Numerical geometry of non-rigid shapes AM Bronstein, MM Bronstein, R Kimmel Springer Science & Business Media, 2008	857	2008
Three-dimensional face recognition AM Bronstein, MM Bronstein, R Kimmel International Journal of Computer Vision 64 (1), 5-30, 2005	745	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	695	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	679	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	667	2011
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	494	2010
Expression-invariant 3D face recognition AM Bronstein, MM Bronstein, R Kimmel international conference on Audio-and video-based biometric person …, 2003	426	2003
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	333	2010
Efficient computation of isometry-invariant distances between surfaces AM Bronstein, MM Bronstein, R Kimmel SIAM Journal on Scientific Computing 28 (5), 1812, 2007	296	2007
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	277	2018
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	276	2019
Learning spectral descriptors for deformable shape correspondence R Litman, A Bronstein IEEE Trans. Patten Analysis and Machine Intelligence, 2013	232*	2013
Systems and methods for remote control of interactive video GBMD SS Rakib, A Bronstein, M Bronstein US Patent 8,875,212, 0	225*
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	214	2013
Expression-invariant representations of faces AM Bronstein, MM Bronstein, R Kimmel IEEE Transactions on Image Processing 16 (1), 188-197, 2006	214	2006
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	209	2016
SHREC 2011: robust feature detection and description benchmark E Boyer, AM Bronstein, MM Bronstein, B Bustos, T Darom, R Horaud, ... arXiv preprint arXiv:1102.4258, 2011	208	2011
SHREC 2011: robust feature detection and description benchmark E Boyer, AM Bronstein, MM Bronstein, B Bustos, T Darom, R Horaud, ... arXiv preprint arXiv:1102.4258, 2011	204	2011
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	202	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	201	2018

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