Or Litany

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Leonidas GuibasProfessor of Computer Science, Stanford UniversityPatvirtintas el. paštas cs.stanford.edu
Alex BronsteinDan Broida Academic Chair, Schmidt Chair of AI, CS@TechnionPatvirtintas el. paštas technion.ac.il
Sanja FidlerUniversity of Toronto, NVIDIAPatvirtintas el. paštas cs.toronto.edu
Michael BronsteinDeepMind Professor of AI, University of Oxford / Scientific Director, AITHYRAPatvirtintas el. paštas cs.ox.ac.uk
Tal RemezAI Researcher, Facebook AI Research (FAIR)Patvirtintas el. paštas fb.com
Zan GojcicSenior Research Scientist, NVIDIAPatvirtintas el. paštas ethz.ch
Emanuele RodolàProfessor of Computer Science, Sapienza University of RomePatvirtintas el. paštas di.uniroma1.it
Francis WilliamsNVIDIA AIPatvirtintas el. paštas fwilliams.info
Charles Ruizhongtai QiResearch Scientist, WaymoPatvirtintas el. paštas waymo.com
Ron KimmelProf. of CS (& ECE) Technion, CSO of Lumana, IsraelPatvirtintas el. paštas cs.technion.ac.il
Karsten KreisSenior Research Scientist, NVIDIAPatvirtintas el. paštas nvidia.com
Wenzheng ChenUniversity of Toronto, NVIDIAPatvirtintas el. paštas cs.toronto.edu
Jun GaoUniversity of Toronto, NVIDIAPatvirtintas el. paštas cs.toronto.edu
Srinath SridharAssistant Professor of Computer Science, Brown UniversityPatvirtintas el. paštas brown.edu
Daniel CremersTechnical University of MunichPatvirtintas el. paštas tum.de
Zian WangUniversity of Toronto, NVIDIAPatvirtintas el. paštas cs.toronto.edu
Davis RempeResearch Scientist, NVIDIAPatvirtintas el. paštas stanford.edu
oshri halimiPhD @ TechnionPatvirtintas el. paštas campus.technion.ac.il
Raja GiryesAssociate Professor, Tel Aviv UniversityPatvirtintas el. paštas tauex.tau.ac.il
Kaiming HeAssociate Professor, EECS, MITPatvirtintas el. paštas mit.edu

Stebėti

Or Litany

Technion, NVIDIA

Patvirtintas el. paštas nvidia.com - Pagrindinis puslapis

Computer Vision Artificial Intelligence Deep Learning AI


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	1392	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	631	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
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
ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes CR Qi, X Chen, O Litany, LJ Guibas CVPR 2020, 2020	312	2020
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	132	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	124	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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