Shahar Kovalsky

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Ronen BasriProfessor of Computer Science, Weizmann Institute of ScienceVerified email at weizmann.ac.il
yaron lipmanWeizmann InstituteVerified email at weizmann.ac.il
Noam AigermanResearcher at AdobeVerified email at adobe.com
David DovDuke UniversityVerified email at duke.edu
Ricardo HenaoDuke UniversityVerified email at duke.edu
Ingrid DaubechiesDuke UniversityVerified email at math.duke.edu
Dr. Noy CohenStanford UniversityVerified email at stanford.edu
nadav dymSenior Lecturer at TechnionVerified email at technion.ac.il
Itay KezurerMS.c Graduate, Weizmann Institute of ScienceVerified email at weizmann.ac.il
Mica Arie-NachimsonWeizmann Institute of ScienceVerified email at weizmann.ac.il
Ira Kemelmacher-ShlizermanAssoc. Professor @ UW CSE; Director @ UW Reality Lab; GoogleVerified email at cs.washington.edu
Amit SingerPrinceton UniversityVerified email at math.princeton.edu
Roi PoranneUniversity of Haifa, ETH ZurichVerified email at inf.ethz.ch
Tingran GaoRadix Trading, LLCVerified email at radix-trading.com
Haggai MaronNVIDIA ResearchVerified email at nvidia.com
Guy CohenProfessor of electical and computer engineering, BGUVerified email at bgu.ac.il
meirav galunDr of Applied Math and Computer Science, Weizmann InstituteVerified email at weizmann.ac.il
David W. JacobsProfessor of Computer Science, University of MarylandVerified email at umiacs.umd.edu
Olga Sorkine-HornungProfessor of Computer Science, ETH ZurichVerified email at inf.ethz.ch
Alexandru DrimbareanVP Engineering, Machine Learning , Xperi Ireland (FotoNation)Verified email at xperi.com

Shahar Kovalsky

Assistant Professor, University of North Carolina at Chapel Hill

Verified email at unc.edu - Homepage

Numerical Optimization Geometry Processing Computer Graphics Machine Learning


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Global motion estimation from point matches M Arie-Nachimson, SZ Kovalsky, I Kemelmacher-Shlizerman, A Singer, ... 2012 Second international conference on 3D imaging, modeling, processing …, 2012	186	2012
Point registration via efficient convex relaxation H Maron, N Dym, I Kezurer, S Kovalsky, Y Lipman ACM Transactions on Graphics (TOG) 35 (4), 1-12, 2016	101	2016
Accelerated quadratic proxy for geometric optimization SZ Kovalsky, M Galun, Y Lipman ACM Transactions on Graphics (TOG) 35 (4), 1-11, 2016	72	2016
Tight relaxation of quadratic matching I Kezurer, SZ Kovalsky, R Basri, Y Lipman Computer graphics forum 34 (5), 115-128, 2015	70	2015
Geometric optimization via composite majorization. A Shtengel, R Poranne, O Sorkine-Hornung, SZ Kovalsky, Y Lipman ACM Trans. Graph. 36 (4), 38:1-38:11, 2017	64	2017
Large-Scale Bounded Distortion Mappings SZ Kovalsky, N Aigerman, R Basri, Y Lipman ACM SIGGRAPH Asia 2015, 2015	57	2015
Controlling Singular Values with Semidefinite Programming SZ Kovalsky, N Aigerman, R Basri, Y Lipman SIGGRAPH 2014 33 (4), 2014	56	2014
Thyroid Cancer Malignancy Prediction From Whole Slide Cytopathology Images D Dov, SZ Kovalsky, J Cohen, DE Range, R Henao, L Carin arXiv preprint arXiv:1904.00839, 2019	38*	2019
Learning 3D Deformation of Animals from 2D Images A Kanazawa, S Kovalsky, R Basri, D Jacobs Eurographics, 2016	31	2016
Spherical Orbifold Tutte Embeddings N AIGERMAN, SZ KOVALSKY, Y LIPMAN	30*	2017
Gaussian process landmarking on manifolds T Gao, SZ Kovalsky, I Daubechies SIAM Journal on Mathematics of Data Science 1 (1), 208-236, 2019	29	2019
A Deep-Learning Algorithm for Thyroid Malignancy Prediction From Whole Slide Cytopathology Images D Dov, SZ Kovalsky, J Cohen, DE Range, R Henao, L Carin arXiv preprint arXiv:1904.12739, 2019	27*	2019
Application of a machine learning algorithm to predict malignancy in thyroid cytopathology DD Elliott Range, D Dov, SZ Kovalsky, R Henao, L Carin, J Cohen Cancer cytopathology 128 (4), 287-295, 2020	26	2020
ariaDNE: A robustly implemented algorithm for Dirichlet energy of the normal S Shan, SZ Kovalsky, JM Winchester, DM Boyer, I Daubechies Methods in Ecology and Evolution 10 (4), 541-552, 2019	16	2019
Gaussian process landmarking for three-dimensional geometric morphometrics T Gao, SZ Kovalsky, DM Boyer, I Daubechies SIAM Journal on Mathematics of Data Science 1 (1), 237-267, 2019	16	2019
Methods and systems for reading an image sensor based on a trajectory E Kali, Y Oz, P Dahan, S Kovalsky, O Gigushinski, N Cohen, ... US Patent App. 13/264,251, 2012	16	2012
Pixel mapping using a lookup table and linear approximation O Gigushinski, S Kovalsky, N Cohen, Y Oz, P Stec, A Drimbarean, ... US Patent 8,340,462, 2012	15	2012
Forward interpolation approach for constructing a second version of an image from a first version of the image O Gigushinski, S Kovalsky, N Cohen, Y Oz, D Cohen, A Amramy US Patent 8,675,115, 2014	14	2014
Lifting simplices to find injectivity. X Du, N Aigerman, Q Zhou, SZ Kovalsky, Y Yan, DM Kaufman, T Ju ACM Trans. Graph. 39 (4), 120, 2020	12	2020
Decoupled linear estimation of affine geometric deformations and nonlinear intensity transformations of images SZ Kovalsky, G Cohen, R Hagege, JM Francos IEEE transactions on pattern analysis and machine intelligence 32 (5), 940-946, 2010	12	2010

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