Roee Litman
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Intrinsic shape context descriptors for deformable shapes
I Kokkinos, MM Bronstein, R Litman, AM Bronstein
Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, 159-166, 2012
Learning spectral descriptors for deformable shape correspondence
R Litman, A Bronstein
Transactions on Pattern Analysis and Machine Intelligence, 1-1, 2014
Shape retrieval of non-rigid 3D human models
D Pickup, X Sun, PL Rosin, RR Martin, Z Cheng, Z Lian, M Aono, ...
International Journal of Computer Vision, 1-25, 2014
Supervised learning of bag-of-features shape descriptors using sparse coding
R Litman, A Bronstein, M Bronstein, U Castellani
Symposium on Geometry Processing, 2014
Diffusion-geometric maximally stable component detection in deformable shapes
R Litman, AM Bronstein, MM Bronstein
Computers & Graphics 35 (3), 549-560, 2011
Product Manifold Filter: Non-Rigid Shape Correspondence via Kernel Density Estimation in the Product Space
M Vestner, R Litman, E Rodolą, A Bronstein, D Cremers
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
Supervised Sparse Analysis and Synthesis Operators
P Sprechmann, R Litman, T Ben-Yakar, AM Bronstein, G Sapiro
Advances in Neural Information Processing Systems, 908-916, 2013
Inverting RANSAC: Global Model Detection via Inlier Rate Estimation
R Litman, S Korman, A Bronstein, S Avidan
CVPR 2015, 2015
Probably Approximately Symmetric: Fast Rigid Symmetry Detection with Global Guarantees
S Korman, R Litman, S Avidan, A Bronstein
Bilevel Sparse Models for Polyphonic Music Transcription.
T Ben-Yakar, R Litman, P Sprechmann, AM Bronstein, G Sapiro
ISMIR, 65-70, 2013
Stable volumetric features in deformable shapes
R Litman, AM Bronstein, MM Bronstein
Computers & Graphics 36 (5), 569-576, 2012
SHREC’17: Deformable shape retrieval with missing parts
E Rodola, L Cosmo, O Litany, MM Bronstein, AM Bronstein, N Audebert, ...
Proceedings of the Eurographics Workshop on 3D Object Retrieval, Lisbon …, 2017
S Korman, R Litman
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Scalability of non-rigid 3D shape retrieval
I Sipiran, B Bustos, T Schreck, AM Bronstein, S Choi, L Lai, H Li, R Litman, ...
Proceedings of the 2015 Eurographics Workshop on 3D Object Retrieval, 121-128, 2015
Spectrometer: Amortized sublinear spectral approximation of distance on graphs
R Litman, AM Bronstein
2016 Fourth International Conference on 3D Vision (3DV), 499-508, 2016
SCATTER: Selective Context Attentional Scene Text Recognizer
R Litman, O Anschel, S Tsiper, R Litman, S Mazor, R Manmatha
arXiv preprint arXiv:2003.11288, 2020
ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation
S Fogel, H Averbuch-Elor, S Cohen, S Mazor, R Litman
arXiv preprint arXiv:2003.10557, 2020
Workshop 2 Keynote Addresses
R Kimmel, A Shtern, R Litman, E Rodola, M Bronstein, A Bronstein
3D Vision (3DV), 2014 2nd International Conference on 2, xii-xvii, 2014
Stable Semi-local Features for Non-rigid Shapes
R Litman, AM Bronstein, MM Bronstein
Innovations for Shape Analysis, 161-189, 2013
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