Alex Bronstein

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Michael BronsteinDeepMind Professor of AI, University of Oxford / Scientific Director, AITHYRAVerified email at cs.ox.ac.uk
Ron KimmelProf. of CS (& ECE) Technion, CSO of Lumana, 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 SapiroAugustine Family Professor, Princeton University; Distinguished Engineer, Health AI Lead, Apple.Verified email at princeton.edu
Or LitanyTechnion, NVIDIAVerified email at nvidia.com
Emanuele RodolàProfessor of Computer Science, Sapienza University of RomeVerified email at di.uniroma1.it
Maks OvsjanikovEcole Polytechnique, Google DeepMindVerified email at lix.polytechnique.fr
Roee LitmanVerified email at tau.ac.il
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
Daniel CremersTechnical University of MunichVerified email at tum.de
Umberto CastellaniDipartimento di Informatica, University of VeronaVerified email at univr.it
Alfred BrucksteinOllendorff Chair in Science, Technion, IIT, Haifa, IsraelVerified email at cs.technion.ac.il
Michela SpagnuoloCNR- IMATIVerified email at ge.imati.cnr.it
Pascal FuaProfessor Computer Science, EPFLVerified email at epfl.ch

Alex Bronstein

Dan Broida Academic Chair, Schmidt Chair of AI, CS@Technion

Verified email at technion.ac.il - Homepage

Computer vision machine learning bioinformatics computational chemistry data science


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	982	2008
Three-dimensional face recognition AM Bronstein, MM Bronstein, R Kimmel International Journal of Computer Vision 64 (1), 5-30, 2005	765	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	726	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	717	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	711	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	564	2010
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	454	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	452	2018
Expression-invariant 3D face recognition AM Bronstein, MM Bronstein, R Kimmel international conference on Audio-and video-based biometric person …, 2003	430	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	354	2010
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	324	2017
Efficient computation of isometry-invariant distances between surfaces AM Bronstein, MM Bronstein, R Kimmel SIAM Journal on Scientific Computing 28 (5), 1812, 2007	322	2007
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	271	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	271*	2015
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	269	2018
Learning spectral descriptors for deformable shape correspondence R Litman, A Bronstein IEEE Trans. Patten Analysis and Machine Intelligence, 2013	260*	2013
Systems and methods for remote control of interactive video GBMD SS Rakib, A Bronstein, M Bronstein US Patent 8,875,212, 0	255*
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	240	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	228	2013
Coupled quasi‐harmonic bases A Kovnatsky, MM Bronstein, AM Bronstein, K Glashoff, R Kimmel Computer Graphics Forum 32 (2pt4), 439-448, 2013	217	2013

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