Roee Litman

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Alex BronsteinDan Broida Academic Chair, Schmidt Chair of AI, CS@TechnionEmail yang diverifikasi di technion.ac.il
Michael BronsteinDeepMind Professor of AI, University of Oxford / Scientific Director, AITHYRAEmail yang diverifikasi di cs.ox.ac.uk
Simon KormanUniversity of HaifaEmail yang diverifikasi di cs.haifa.ac.il
shai avidanTel-Aviv UniversityEmail yang diverifikasi di eng.tau.ac.il
R. ManmathaA9/AmazonEmail yang diverifikasi di cs.umass.edu
Ron LitmanAmazon AIEmail yang diverifikasi di amazon.com
Oron AnschelAmazon AIEmail yang diverifikasi di amazon.com
Matthias VestnerComputer Vision Group, Technische Universität MünchenEmail yang diverifikasi di in.tum.de
Emanuele RodolàProfessor of Computer Science, Sapienza University of RomeEmail yang diverifikasi di di.uniroma1.it
Daniel CremersTechnical University of MunichEmail yang diverifikasi di tum.de
Pablo SprechmannResearch Scientist at Google DeepMindEmail yang diverifikasi di google.com
Guillermo SapiroAugustine Family Professor, Princeton University; Distinguished Eng., Apple; Prof. Emeritus, Duke U.Email yang diverifikasi di princeton.edu
Tal YakarEmail yang diverifikasi di csail.mit.edu
Iasonas KokkinosUniversity College LondonEmail yang diverifikasi di cs.ucl.ac.uk
Hadar Averbuch-ElorAssistant Professor, Cornell UniversityEmail yang diverifikasi di cornell.edu
Umberto CastellaniDipartimento di Informatica, University of VeronaEmail yang diverifikasi di univr.it
Ivan SipiranAssistant Professor, Department of Computer Science, University of ChileEmail yang diverifikasi di dcc.uchile.cl
Or LitanyTechnion, NVIDIAEmail yang diverifikasi di nvidia.com

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Roee Litman

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Email yang diverifikasi di tau.ac.il

Machine Learning Computer Vision Geometry Processing Sparse Models


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Learning spectral descriptors for deformable shape correspondence R Litman, A Bronstein Transactions on Pattern Analysis and Machine Intelligence, 1-1, 2014	224	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	210	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	186	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	172*	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	166	2020
Product Manifold Filter: Non-Rigid Shape Correspondence via Kernel Density Estimation in the Product Space M Vestner, R Litman, E Rodolà, A Bronstein, D Cremers The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017	150	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	124	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	80	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
Probably Approximately Symmetric: Fast Rigid Symmetry Detection with Global Guarantees S Korman, R Litman, S Avidan, A Bronstein	40	2014
Latent RANSAC S Korman, R Litman Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018	38	2018
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	34	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	33	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
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	7	2022
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
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

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