| Learning spectral descriptors for deformable shape correspondence R Litman, A Bronstein Transactions on Pattern Analysis and Machine Intelligence, 1-1, 2014 | 222 | 2014 |
| 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 | 209 | 2012 |
| SCATTER: selective context attentional scene text recognizer R Litman, O Anschel, S Tsiper, R Litman, S Mazor, R Manmatha Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 173 | 2020 |
| 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 | 170* | 2014 |
| ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation S Fogel, H Averbuch-Elor, S Cohen, S Mazor, R Litman Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 151 | 2020 |
| 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 | 146 | 2017 |
| Supervised learning of bag-of-features shape descriptors using sparse coding R Litman, A Bronstein, M Bronstein, U Castellani Symposium on Geometry Processing, 2014 | 123 | 2014 |
| 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 | 79 | 2013 |
| Diffusion-geometric maximally stable component detection in deformable shapes R Litman, AM Bronstein, MM Bronstein Computers & Graphics 35 (3), 549-560, 2011 | 74 | 2011 |
| Inverting RANSAC: Global Model Detection via Inlier Rate Estimation R Litman, S Korman, A Bronstein, S Avidan CVPR 2015, 2015 | 47 | 2015 |
| Latent RANSAC S Korman, R Litman Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 38 | 2018 |
| Probably Approximately Symmetric: Fast Rigid Symmetry Detection with Global Guarantees S Korman, R Litman, S Avidan, A Bronstein | 37 | 2014 |
| Can you read me now? content aware rectification using angle supervision A Markovitz, I Lavi, O Perel, S Mazor, R Litman Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 32 | 2020 |
| 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 | 32 | 2017 |
| Bilevel Sparse Models for Polyphonic Music Transcription. T Ben-Yakar, R Litman, P Sprechmann, AM Bronstein, G Sapiro ISMIR, 65-70, 2013 | 28 | 2013 |
| Stable volumetric features in deformable shapes R Litman, AM Bronstein, MM Bronstein Computers & Graphics 36 (5), 569-576, 2012 | 23 | 2012 |
| 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 | 12 | 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 | 7 | 2016 |
| Document rectification via homography recovery using machine learning KY Singh, A Adam, S Tsiper, GS Star, R Litman, HA Elor, V Mahadevan, ... US Patent 11,341,605, 2022 | 4 | 2022 |
| GSCAN: Graph Stability Clustering for Applications With Noise Using Edge-Aware Excess-of-Mass E Harari, N Abudarham, R Litman Learning on Graphs Conference, 9: 1-9: 15, 2024 | | 2024 |
Alex BronsteinDan Broida Academic Chair, Schmidt Chair of AI, CS@TechnionVerified email at technion.ac.il
