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 RemezAI Researcher, Facebook AI Research (FAIR)Verified email at fb.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
Charles Ruizhongtai QiResearch Scientist, WaymoVerified email at waymo.com
Ron KimmelProf. of CS (& ECE) Technion, CSO of Lumix.AI, IsraelVerified email at cs.technion.ac.il
Sanja FidlerUniversity of Toronto, NVIDIAVerified email at cs.toronto.edu
Daniel CremersTechnical University of MunichVerified email at tum.de
Raja GiryesAssociate Professor, Tel Aviv UniversityVerified email at tauex.tau.ac.il
oshri halimiPhD @ TechnionVerified email at campus.technion.ac.il
Zan GojcicSenior Research Scientist, NVIDIAVerified email at ethz.ch
Srinath SridharAssistant Professor of Computer Science, Brown UniversityVerified email at brown.edu
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 BirdalImperial College LondonVerified email at imperial.ac.uk
Gal ChechikBar Ilan University, NVIDIAVerified email at biu.ac.il

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	754	2019
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	241	2020
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	210	2017
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	204	2018
ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes CR Qi, X Chen, O Litany, LJ Guibas CVPR 2020, 2020	174	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	129*	2018
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	114*	2019
Neural fields in visual computing and beyond Y Xie, T Takikawa, S Saito, O Litany, S Yan, N Khan, F Tombari, ... Computer Graphics Forum 41 (2), 641-676, 2022	111	2022
Fully Spectral Partial Shape Matching O Litany, E Rodolà, AM Bronstein, MM Bronstein Computer Graphics Forum 36 (2), 2017	102	2017
Efficient deformable shape correspondence via kernel matching Z Lähner, M Vestner, A Boyarski, O Litany, R Slossberg, T Remez, ... 3DV, 2017	82*	2017
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	81	2016
Vector Neurons: A General Framework for SO (3)-Equivariant Networks C Deng, O Litany, Y Duan, A Poulenard, A Tagliasacchi, L Guibas ICCV 2021, 2021	79	2021
On Learning Sets of Symmetric Elements H Maron, O Litany, G Chechik, E Fetaya ICML 2020 -- Outstanding paper award, 2020	69	2020
Deep class-aware image denoising T Remez, O Litany, R Giryes, AM Bronstein 2017 international conference on sampling theory and applications (SampTA …, 2017	64	2017
3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection H Wang, Y Cong, O Litany, Y Gao, LJ Guibas CVPR 2021, 2020	51	2020
Mix3D: Out-of-Context Data Augmentation for 3D Scenes A Nekrasov, J Schult, O Litany, B Leibe, F Engelmann 3DV 2021, 2021	49	2021
Dual-primal graph convolutional networks F Monti, O Shchur, A Bojchevski, O Litany, S Günnemann, MM Bronstein arXiv preprint arXiv:1806.00770, 2018	48	2018
Weakly Supervised Learning of Rigid 3D Scene Flow Z Gojcic, O Litany, A Wieser, LJ Guibas, T Birdal CVPR 2021, 2021	38	2021
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	36*	2021
Shrec’17: Deformable shape retrieval with missing parts E Rodolà, L Cosmo, O Litany, MM Bronstein, AM Bronstein, N Audebert, ... Proceedings of the Eurographics Workshop on 3D Object Retrieval, Lisbon …, 2017	28	2017

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