Or Litany

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Alex BronsteinTechnion, Department of Computer ScienceVerified email at technion.ac.il
Leonidas GuibasProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Tal RemezGoogle ResearchVerified email at google.com
Emanuele RodolàProfessor of Computer Science, Sapienza University of RomeVerified email at di.uniroma1.it
Michael BronsteinDeepMind Professor of AI, University of Oxford / Head Graph ML Research, TwitterVerified email at cs.ox.ac.uk
Ron KimmelMontreal Chair Professor of Computer Science (& ECE), Technion, IsraelVerified email at cs.technion.ac.il
Charles Ruizhongtai QiResearch Scientist, WaymoVerified email at waymo.com
Daniel CremersTechnical University of MunichVerified email at tum.de
Raja GiryesAssociate Professor, Tel Aviv UniversityVerified email at tauex.tau.ac.il
oshri halimiPhD StudentVerified email at campus.technion.ac.il
Kaiming HeResearch Scientist, Facebook AI Research (FAIR)Verified email at fb.com
Ron SlossbergTechnion - Israel Institute of TechnologyVerified email at tx.technion.ac.il
Zorah LähnerPostdoctoral Researcher, University of SiegenVerified email at uni-siegen.de
Ameesh MakadiaGoogle ResearchVerified email at google.com
Xinlei ChenFAIR, MetaVerified email at fb.com
Tolga BirdalStanford UniversityVerified email at cs.stanford.edu
Sanja FidlerUniversity of Toronto, NVIDIAVerified email at cs.toronto.edu
Zan GojcicResearch Scientist, NVIDIAVerified email at ethz.ch
Srinath SridharAssistant Professor of Computer Science, Brown UniversityVerified email at brown.edu
Matthias VestnerComputer Vision Group, Technische Universität MünchenVerified email at in.tum.de

Or Litany

Research Scientist, NVIDIA

Verified email at nvidia.com - Homepage

computer vision deep learning geometric deep learning shape analysis


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Deep Hough Voting for 3D Object Detection in Point Clouds CR Qi, O Litany, K He, LJ Guibas ICCV 2019 (Oral, Best Paper Nomination), 2019	532	2019
Deformable shape completion with graph convolutional autoencoders O Litany, A Bronstein, M Bronstein, A Makadia Proceedings of the IEEE conference on computer vision and pattern …, 2018	183	2018
Deep functional maps: Structured prediction for dense shape correspondence O Litany, T Remez, E Rodola, A Bronstein, M Bronstein Proceedings of the IEEE international conference on computer vision, 5659-5667, 2017	179	2017
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding S Xie, J Gu, D Guo, CR Qi, LJ Guibas, O Litany ECCV 2020 Spotlight, 2020	139	2020
ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes CR Qi, X Chen, O Litany, LJ Guibas CVPR 2020, 2020	128	2020
Class-aware fully convolutional Gaussian and Poisson denoising T Remez, O Litany, R Giryes, AM Bronstein IEEE Transactions on Image Processing 27 (11), 5707-5722, 2018	111*	2018
Fully Spectral Partial Shape Matching O Litany, E Rodolà, AM Bronstein, MM Bronstein Computer Graphics Forum 36 (2), 2017	93	2017
Unsupervised learning of dense shape correspondence O Halimi, O Litany, E Rodola, AM Bronstein, R Kimmel Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	90*	2019
Non-Rigid Puzzles O Litany, E Rodolà, AM Bronstein, MM Bronstein, D Cremers Computer Graphics Forum 35 (5), 135-143 (Best paper award at SGP), 2016	77	2016
Efficient deformable shape correspondence via kernel matching Z Lähner, M Vestner, A Boyarski, O Litany, R Slossberg, T Remez, ... 3DV, 2017	72*	2017
Deep class-aware image denoising T Remez, O Litany, R Giryes, AM Bronstein 2017 international conference on sampling theory and applications (SampTA …, 2017	60	2017
On Learning Sets of Symmetric Elements H Maron, O Litany, G Chechik, E Fetaya ICML 2020 -- Outstanding paper award, 2020	55	2020
Dual-primal graph convolutional networks F Monti, O Shchur, A Bojchevski, O Litany, S Günnemann, MM Bronstein arXiv preprint arXiv:1806.00770, 2018	39	2018
Weakly Supervised Learning of Rigid 3D Scene Flow Z Gojcic, O Litany, A Wieser, LJ Guibas, T Birdal CVPR 2021, 2021	27	2021
3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection H Wang, Y Cong, O Litany, Y Gao, LJ Guibas CVPR 2021, 2020	26	2020
SHREC'17: Deformable shape retrieval with missing parts E Rodolà, L Cosmo, O Litany, MM Bronstein, AM Bronstein, N Audebert, ... 10th Eurographics Workshop on 3D Object Retrieval, 3DOR 2017, 85-94, 2017	26	2017
ReLMoGen: Integrating motion generation in reinforcement learning for mobile manipulation F Xia, C Li, R Martín-Martín, O Litany, A Toshev, S Savarese 2021 IEEE International Conference on Robotics and Automation (ICRA), 4583-4590, 2021	22*	2021
A picture is worth a billion bits: Real-time image reconstruction from dense binary threshold pixels T Remez, O Litany, A Bronstein 2016 IEEE International Conference on Computational Photography (ICCP), 1-9, 2016	21*	2016
Mix3D: Out-of-Context Data Augmentation for 3D Scenes A Nekrasov, J Schult, O Litany, B Leibe, F Engelmann 3DV 2021, 2021	15	2021
Continuous Geodesic Convolutions for Learning on 3D Shapes Z Yang, O Litany, T Birdal, S Sridhar, L Guibas WACV 2021, 2020	15	2020

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