Alex Bronstein

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Michael BronsteinDeepMind Professor of AI, University of OxfordVerified 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
Raja GiryesAssociate Professor, Tel Aviv UniversityVerified email at tauex.tau.ac.il
Guillermo SapiroJames B. Duke Professor, Duke University; Distinguished Engineer, Health AI Lead, Apple, Inc.Verified email at duke.edu
Or LitanyResearch Scientist, NVIDIAVerified email at nvidia.com
Emanuele RodolàProfessor of Computer Science, Sapienza University of RomeVerified email at di.uniroma1.it
Roee LitmanVerified email at tau.ac.il
Maks OvsjanikovProfessor, Ecole PolytechniqueVerified email at lix.polytechnique.fr
Tal RemezAI Researcher, Facebook AI Research (FAIR)Verified email at fb.com
Pablo SprechmannResearch Scientist at Google DeepMindVerified email at google.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	896	2008
Three-dimensional face recognition AM Bronstein, MM Bronstein, R Kimmel International Journal of Computer Vision 64 (1), 5-30, 2005	755	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	708	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	688	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	682	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	512	2010
Expression-invariant 3D face recognition AM Bronstein, MM Bronstein, R Kimmel Audio-and Video-Based Biometric Person Authentication: 4th International …, 2003	425	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	338	2010
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	331	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	309	2019
Efficient computation of isometry-invariant distances between surfaces AM Bronstein, MM Bronstein, R Kimmel SIAM Journal on Scientific Computing 28 (5), 1812, 2007	303	2007
Learning spectral descriptors for deformable shape correspondence R Litman, A Bronstein IEEE Trans. Patten Analysis and Machine Intelligence, 2013	244*	2013
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	243	2017
Systems and methods for remote control of interactive video GBMD SS Rakib, A Bronstein, M Bronstein US Patent 8,875,212, 0	233*
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	223	2016
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	220	2018
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	212	2011
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	211	2013
Expression-invariant representations of faces AM Bronstein, MM Bronstein, R Kimmel IEEE Transactions on Image Processing 16 (1), 188-197, 2006	211	2006
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	209	2011

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