Or Litany

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Leonidas GuibasProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Sanja FidlerUniversity of Toronto, NVIDIAVerified email at cs.toronto.edu
Alex BronsteinDan Broida Academic Chair, Schmidt Chair of AI, CS@TechnionVerified email at technion.ac.il
Zan GojcicSenior Research Scientist, NVIDIAVerified email at ethz.ch
Michael BronsteinDeepMind Professor of AI, University of Oxford / Scientific Director, AITHYRAVerified email at cs.ox.ac.uk
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
Francis WilliamsNVIDIA AIVerified email at fwilliams.info
Charles Ruizhongtai QiResearch Scientist, WaymoVerified email at waymo.com
Karsten KreisSenior Research Scientist, NVIDIAVerified email at nvidia.com
Ron KimmelProf. of CS (& ECE) Technion, CSO of Lumana, IsraelVerified email at cs.technion.ac.il
Wenzheng ChenPeking UniversityVerified email at pku.edu.cn
Jun GaoUniversity of Toronto, NVIDIAVerified email at cs.toronto.edu
Daniel CremersTechnical University of MunichVerified email at tum.de
Srinath SridharAssistant Professor of Computer Science, Brown UniversityVerified email at brown.edu
Zian WangUniversity of Toronto, NVIDIAVerified email at cs.toronto.edu
Davis RempeResearch Scientist, NVIDIAVerified email at stanford.edu
oshri halimiPhD @ TechnionVerified email at campus.technion.ac.il
Raja GiryesAssociate Professor, Tel Aviv UniversityVerified email at tauex.tau.ac.il
Towaki TakikawaOuterportVerified email at outerport.com

Or Litany

Technion, NVIDIA

Verified email at nvidia.com - Homepage

Computer Vision Artificial Intelligence Deep Learning AI


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	1493	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	695	2020
Lion: Latent point diffusion models for 3d shape generation A Vahdat, F Williams, Z Gojcic, O Litany, S Fidler, K Kreis Advances in Neural Information Processing Systems 35, 10021-10039, 2022	455	2022
Get3d: A generative model of high quality 3d textured shapes learned from images J Gao, T Shen, Z Wang, W Chen, K Yin, D Li, O Litany, Z Gojcic, S Fidler Advances In Neural Information Processing Systems 35, 31841-31854, 2022	449	2022
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	398	2022
ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes CR Qi, X Chen, O Litany, LJ Guibas CVPR 2020, 2020	333	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	332	2017
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	315	2021
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	279	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	191	2019
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	175*	2018
Mask3d: Mask transformer for 3d semantic instance segmentation J Schult, F Engelmann, A Hermans, O Litany, S Tang, B Leibe 2023 IEEE International Conference on Robotics and Automation (ICRA), 8216-8223, 2023	162	2023
Language-Grounded Indoor 3D Semantic Segmentation in the Wild D Rozenberszki, O Litany, A Dai ECCV 2022, 2022	162	2022
Mix3D: Out-of-Context Data Augmentation for 3D Scenes A Nekrasov, J Schult, O Litany, B Leibe, F Engelmann 3DV 2021, 2021	160	2021
3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection H Wang, Y Cong, O Litany, Y Gao, LJ Guibas CVPR 2021, 2020	145	2020
Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior D Rempe, J Philion, LJ Guibas, S Fidler, O Litany CVPR 2022, 2021	139	2021
On Learning Sets of Symmetric Elements H Maron, O Litany, G Chechik, E Fetaya ICML 2020 -- Outstanding paper award, 2020	133	2020
Fully Spectral Partial Shape Matching O Litany, E Rodolà, AM Bronstein, MM Bronstein Computer Graphics Forum 36 (2), 2017	127	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	117*	2021
Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels E Zheltonozhskii, C Baskin, A Mendelson, AM Bronstein, O Litany WACV 2022, 2021	112	2021

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