Or Litany

Recent Alum

Email: orlitany@cs.stanford.edu
Website: https://orlitany.github.io/

Research Statement

  • 3D deep learning, computational shape analysis and representation learning

Recent Publications

Teaser Image
C. Qi, X. Chen, O. Litany, and L. Guibas, ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
@InProceedings{qclg-imvotenet-2020,
author = {Qi, Charles R. and Chen, Xinlei and Litany, Or and Guibas, Leonidas J.},
title = {ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes},
booktitle = {The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Teaser Image
C.Qi, O.Litany, K.He and L.Guibas, Deep Hough Voting for 3D Object Detection in Point Clouds, ICCV 2019. *Nominated for best paper award*
@article{qlhg-iccv-19,
  author    = {Charles R. Qi and
               Or Litany and
               Kaiming He and
               Leonidas J. Guibas},
  title     = {Deep Hough Voting for 3D Object Detection in Point Clouds},
  journal   = {CoRR},
  volume    = {abs/1904.09664},
  year      = {2019},
  url       = {http://arxiv.org/abs/1904.09664},
  archivePrefix = {arXiv},
  eprint    = {1904.09664},
  timestamp = {Fri, 26 Apr 2019 13:18:53 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/corr/abs-1904-09664},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
Teaser Image
Federico Monti, Oleksandr Shchur, Aleksandar Bojchevski, Or Litany, Stephan Gunnemann, Michael M Bronstein. GEM workshop at ECML-PKDD, 2019
@article{msblgb-dpgcn-19,
  author    = {Federico Monti and
               Oleksandr Shchur and
               Aleksandar Bojchevski and
               Or Litany and
               Stephan G{"{u}}nnemann and
               Michael M. Bronstein},
  title     = {Dual-Primal Graph Convolutional Networks},
  journal   = {CoRR},
  volume    = {abs/1806.00770},
  year      = {2018}
}
Teaser Image
Or Litany, Daniel Freedman, ICLR workshop on Learning from Limited Labeled Data, 2019. *Best Paper Award*
@article{lf-soseleto-19,
  Author    = {Or Litany and Daniel Freedman},
  Title     = {SOSELETO: A Unified Approach to Transfer Learning and Training with Noisy Labels},
  Journal   = {arXiv preprint arXiv:1805.09622},
  Year      = {2018}}
                
Teaser Image
Oshri Halimi, Or Litany, Emanuele Rodola, Alex M. Bronstein, Ron Kimmel; The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019, pp. 4370-4379
@inproceedings{hlrbk-cvpr-19,
  title={Unsupervised Learning of Dense Shape Correspondence},
  author={Halimi, Oshri and Litany, Or and Rodola, Emanuele and Bronstein, Alex M and Kimmel, Ron},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  pages={4370--4379},
  year={2019}
}
Copyright 2024 Guibas Laboratory. All rights reserved. Manage Publications