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Shahar Kovalsky
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Year
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
1862012
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
1012016
Accelerated quadratic proxy for geometric optimization
SZ Kovalsky, M Galun, Y Lipman
ACM Transactions on Graphics (TOG) 35 (4), 1-11, 2016
722016
Tight relaxation of quadratic matching
I Kezurer, SZ Kovalsky, R Basri, Y Lipman
Computer graphics forum 34 (5), 115-128, 2015
702015
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
642017
Large-Scale Bounded Distortion Mappings
SZ Kovalsky, N Aigerman, R Basri, Y Lipman
ACM SIGGRAPH Asia 2015, 2015
572015
Controlling Singular Values with Semidefinite Programming
SZ Kovalsky, N Aigerman, R Basri, Y Lipman
SIGGRAPH 2014 33 (4), 2014
562014
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
312016
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
292019
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
262020
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
162019
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
162019
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
162012
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
152012
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
142014
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
122020
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
122010
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