Or Litany

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Leonidas GuibasProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Alex BronsteinDan Broida Academic Chair, Schmidt Chair of AI, CS@TechnionVerified email at technion.ac.il
Sanja FidlerUniversity of Toronto, NVIDIAVerified email at cs.toronto.edu
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
Zan GojcicSenior Research Scientist, NVIDIAVerified email at ethz.ch
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
Ron KimmelProf. of CS (& ECE) Technion, CSO of Lumana, IsraelVerified email at cs.technion.ac.il
Karsten KreisSenior Research Scientist, NVIDIAVerified email at nvidia.com
Wenzheng ChenUniversity of Toronto, NVIDIAVerified email at cs.toronto.edu
Jun GaoUniversity of Toronto, NVIDIAVerified email at cs.toronto.edu
Srinath SridharAssistant Professor of Computer Science, Brown UniversityVerified email at brown.edu
Daniel CremersTechnical University of MunichVerified email at tum.de
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
Kaiming HeAssociate Professor, EECS, MITVerified email at mit.edu

Or Litany

Technion, NVIDIA

Verified email at nvidia.com - Homepage

Computer Vision Artificial Intelligence Deep Learning AI


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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	1394	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	632	2020
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	390	2022
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	377	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	353	2022
ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes CR Qi, X Chen, O Litany, LJ Guibas CVPR 2020, 2020	313	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	313	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	280	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	269	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	182	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	169*	2018
Mix3D: Out-of-Context Data Augmentation for 3D Scenes A Nekrasov, J Schult, O Litany, B Leibe, F Engelmann 3DV 2021, 2021	147	2021
3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection H Wang, Y Cong, O Litany, Y Gao, LJ Guibas CVPR 2021, 2020	133	2020
Language-Grounded Indoor 3D Semantic Segmentation in the Wild D Rozenberszki, O Litany, A Dai ECCV 2022, 2022	130	2022
On Learning Sets of Symmetric Elements H Maron, O Litany, G Chechik, E Fetaya ICML 2020 -- Outstanding paper award, 2020	125	2020
Fully Spectral Partial Shape Matching O Litany, E Rodolà, AM Bronstein, MM Bronstein Computer Graphics Forum 36 (2), 2017	124	2017
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	119	2023
Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior D Rempe, J Philion, LJ Guibas, S Fidler, O Litany CVPR 2022, 2021	114	2021
Weakly Supervised Learning of Rigid 3D Scene Flow Z Gojcic, O Litany, A Wieser, LJ Guibas, T Birdal CVPR 2021, 2021	107	2021
Efficient deformable shape correspondence via kernel matching Z Lähner, M Vestner, A Boyarski, O Litany, R Slossberg, T Remez, ... 3DV, 2017	104*	2017

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