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 | 229 | 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 | 151 | 2016 |
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 | 94 | 2017 |
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 | 92* | 2019 |
Accelerated quadratic proxy for geometric optimization SZ Kovalsky, M Galun, Y Lipman ACM Transactions on Graphics (TOG) 35 (4), 1-11, 2016 | 90 | 2016 |
Tight relaxation of quadratic matching I Kezurer, SZ Kovalsky, R Basri, Y Lipman Computer graphics forum 34 (5), 115-128, 2015 | 90 | 2015 |
Large-Scale Bounded Distortion Mappings SZ Kovalsky, N Aigerman, R Basri, Y Lipman ACM SIGGRAPH Asia 2015, 2015 | 75 | 2015 |
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 | 72 | 2020 |
Controlling Singular Values with Semidefinite Programming SZ Kovalsky, N Aigerman, R Basri, Y Lipman SIGGRAPH 2014 33 (4), 2014 | 71 | 2014 |
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 | 66* | 2019 |
Gaussian process landmarking on manifolds T Gao, SZ Kovalsky, I Daubechies SIAM Journal on Mathematics of Data Science 1 (1), 208-236, 2019 | 53 | 2019 |
Spherical Orbifold Tutte Embeddings N AIGERMAN, SZ KOVALSKY, Y LIPMAN | 42* | 2017 |
Learning 3D Deformation of Animals from 2D Images A Kanazawa, S Kovalsky, R Basri, D Jacobs Eurographics, 2016 | 41 | 2016 |
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 | 40 | 2020 |
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 | 27 | 2019 |
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 | 26 | 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 | 17 | 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 | 16 | 2012 |
Linearly converging quasi branch and bound algorithms for global rigid registration N Dym, SZ Kovalsky Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 15 | 2019 |
A Global Approach for Solving Edge-Matching Puzzles SZ Kovalsky, D Glasner, R Basri SIAM J. Imaging Sciences 8 (2), 916–938, 2015 | 14 | 2015 |