Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Or Litany

StrobeNet: Category-Level Multiview Reconstruction of Articulated Objects


May 17, 2021
Ge Zhang, Or Litany, Srinath Sridhar, Leonidas Guibas

* preprint 

  Access Paper or Ask Questions

Vector Neurons: A General Framework for SO(3)-Equivariant Networks


Apr 25, 2021
Congyue Deng, Or Litany, Yueqi Duan, Adrien Poulenard, Andrea Tagliasacchi, Leonidas Guibas


  Access Paper or Ask Questions

Spectral Unions of Partial Deformable 3D Shapes


Mar 31, 2021
Luca Moschella, Simone Melzi, Luca Cosmo, Filippo Maggioli, Or Litany, Maks Ovsjanikov, Leonidas Guibas, Emanuele RodolĂ 

* 17 pages, 20 figures 

  Access Paper or Ask Questions

Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels


Mar 25, 2021
Evgenii Zheltonozhskii, Chaim Baskin, Avi Mendelson, Alex M. Bronstein, Or Litany


  Access Paper or Ask Questions

Weakly Supervised Learning of Rigid 3D Scene Flow


Feb 17, 2021
Zan Gojcic, Or Litany, Andreas Wieser, Leonidas J. Guibas, Tolga Birdal


  Access Paper or Ask Questions

Self-Supervised Equivariant Scene Synthesis from Video


Feb 01, 2021
Cinjon Resnick, Or Litany, Cosmas Heiß, Hugo Larochelle, Joan Bruna, Kyunghyun Cho

* arXiv admin note: text overlap with arXiv:2011.05787 

  Access Paper or Ask Questions

Human 3D keypoints via spatial uncertainty modeling


Dec 18, 2020
Francis Williams, Or Litany, Avneesh Sud, Kevin Swersky, Andrea Tagliasacchi


  Access Paper or Ask Questions

3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection


Dec 08, 2020
He Wang, Yezhen Cong, Or Litany, Yue Gao, Leonidas J. Guibas


  Access Paper or Ask Questions

Non-Rigid Puzzles


Nov 26, 2020
Or Litany, Emanuele RodolĂ , Alex Bronstein, Michael Bronstein, Daniel Cremers

* Computer Graphics Forum, Volume 35, Issue 5, August 2016 

  Access Paper or Ask Questions

Learned Equivariant Rendering without Transformation Supervision


Nov 11, 2020
Cinjon Resnick, Or Litany, Hugo Larochelle, Joan Bruna, Kyunghyun Cho

* Workshop on Differentiable Vision, Graphics, and Physics in Machine Learning at NeurIPS 2020 

  Access Paper or Ask Questions

ReLMoGen: Leveraging Motion Generation in Reinforcement Learning for Mobile Manipulation


Aug 18, 2020
Fei Xia, Chengshu Li, Roberto MartĂ­n-MartĂ­n, Or Litany, Alexander Toshev, Silvio Savarese

* First two authors contributed equally. Access project website at http://svl.stanford.edu/projects/relmogen 

  Access Paper or Ask Questions

PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding


Jul 22, 2020
Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas J. Guibas, Or Litany

* ECCV 2020 (Spotlight) 

  Access Paper or Ask Questions

Object-Centric Multi-View Aggregation


Jul 21, 2020
Shubham Tulsiani, Or Litany, Charles R. Qi, He Wang, Leonidas J. Guibas


  Access Paper or Ask Questions

Representation Learning Through Latent Canonicalizations


Feb 26, 2020
Or Litany, Ari Morcos, Srinath Sridhar, Leonidas Guibas, Judy Hoffman


  Access Paper or Ask Questions

On Learning Sets of Symmetric Elements


Feb 20, 2020
Haggai Maron, Or Litany, Gal Chechik, Ethan Fetaya


  Access Paper or Ask Questions

Continuous Geodesic Convolutions for Learning on 3D Shapes


Feb 06, 2020
Zhangsihao Yang, Or Litany, Tolga Birdal, Srinath Sridhar, Leonidas Guibas


  Access Paper or Ask Questions

ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes


Jan 29, 2020
Charles R. Qi, Xinlei Chen, Or Litany, Leonidas J. Guibas


  Access Paper or Ask Questions

The Whole Is Greater Than the Sum of Its Nonrigid Parts


Jan 27, 2020
Oshri Halimi, Ido Imanuel, Or Litany, Giovanni Trappolini, Emanuele RodolĂ , Leonidas Guibas, Ron Kimmel


  Access Paper or Ask Questions

Deep Hough Voting for 3D Object Detection in Point Clouds


Apr 21, 2019
Charles R. Qi, Or Litany, Kaiming He, Leonidas J. Guibas


  Access Paper or Ask Questions

Self-supervised Learning of Dense Shape Correspondence


Dec 06, 2018
Oshri Halimi, Or Litany, Emanuele RodolĂ , Alex Bronstein, Ron Kimmel


  Access Paper or Ask Questions

Class-Aware Fully-Convolutional Gaussian and Poisson Denoising


Aug 20, 2018
Tal Remez, Or Litany, Raja Giryes, Alex M. Bronstein


  Access Paper or Ask Questions

Dual-Primal Graph Convolutional Networks


Jun 03, 2018
Federico Monti, Oleksandr Shchur, Aleksandar Bojchevski, Or Litany, Stephan GĂŒnnemann, Michael M. Bronstein


  Access Paper or Ask Questions

SOSELETO: A Unified Approach to Transfer Learning and Training with Noisy Labels


May 24, 2018
Or Litany, Daniel Freedman


  Access Paper or Ask Questions

Deformable Shape Completion with Graph Convolutional Autoencoders


Apr 03, 2018
Or Litany, Alex Bronstein, Michael Bronstein, Ameesh Makadia

* CVPR 2018 

  Access Paper or Ask Questions

Efficient Deformable Shape Correspondence via Kernel Matching


Sep 15, 2017
Zorah LĂ€hner, Matthias Vestner, Amit Boyarski, Or Litany, Ron Slossberg, Tal Remez, Emanuele RodolĂ , Alex Bronstein, Michael Bronstein, Ron Kimmel, Daniel Cremers

* Accepted for oral presentation at 3DV 2017, including supplementary material 

  Access Paper or Ask Questions

Deep Functional Maps: Structured Prediction for Dense Shape Correspondence


Jul 30, 2017
Or Litany, Tal Remez, Emanuele RodolĂ , Alex M. Bronstein, Michael M. Bronstein

* Accepted for publication at ICCV 2017 

  Access Paper or Ask Questions

Cloud Dictionary: Sparse Coding and Modeling for Point Clouds


Mar 20, 2017
Or Litany, Tal Remez, Alex Bronstein

* Signal Processing with Adaptive Sparse Structured Representations (SPARS), 2017 

  Access Paper or Ask Questions

Deep Class Aware Denoising


Feb 27, 2017
Tal Remez, Or Litany, Raja Giryes, Alex M. Bronstein


  Access Paper or Ask Questions

Deep Convolutional Denoising of Low-Light Images


Jan 06, 2017
Tal Remez, Or Litany, Raja Giryes, Alex M. Bronstein


  Access Paper or Ask Questions