Or Litany
Or Litany
Postdoctoral Researcher, Stanford University
Verified email at cs.stanford.edu - Homepage
Cited by
Cited by
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
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
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
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
Fully Spectral Partial Shape Matching
O Litany, E Rodolà, AM Bronstein, MM Bronstein
Computer Graphics Forum 36 (2), 2017
Non-Rigid Puzzles
O Litany, E Rodolà, AM Bronstein, MM Bronstein, D Cremers
Computer Graphics Forum 35 (5), 135-143 (Best paper award at SGP), 2016
Deep class-aware image denoising
T Remez, O Litany, R Giryes, AM Bronstein
2017 international conference on sampling theory and applications (SampTA …, 2017
Efficient deformable shape correspondence via kernel matching
Z Lähner, M Vestner, A Boyarski, O Litany, R Slossberg, T Remez, ...
arXiv preprint arXiv:1707.08991, 2017
Unsupervised learning of dense shape correspondence
O Halimi, O Litany, E Rodola, AM Bronstein, R Kimmel
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
A picture is worth a billion bits: Real-time image reconstruction from dense binary threshold pixels
T Remez, O Litany, A Bronstein
2016 IEEE International Conference on Computational Photography (ICCP), 1-9, 2016
Dual-primal graph convolutional networks
F Monti, O Shchur, A Bojchevski, O Litany, S Günnemann, MM Bronstein
arXiv preprint arXiv:1806.00770, 2018
SHREC’17: Deformable shape retrieval with missing parts
E Rodola, L Cosmo, O Litany, MM Bronstein, AM Bronstein, N Audebert, ...
Proceedings of the Eurographics Workshop on 3D Object Retrieval, Lisbon …, 2017
Asist: Automatic semantically invariant scene transformation
O Litany, T Remez, D Freedman, L Shapira, A Bronstein, R Gal
Computer Vision and Image Understanding 157, 284-299, 2017
Putting the pieces together: Regularized multi-part shape matching
O Litany, AM Bronstein, MM Bronstein
European Conference on Computer Vision, 1-11, 2012
Cloud Dictionary: Coding and Modeling for Point Clouds
O Litany, T Remez, A Bronstein
SPARS, 2017
ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes
CR Qi, X Chen, O Litany, LJ Guibas
Accepted to CVPR2020, 2020
SOSELETO: A Unified Approach to Transfer Learning and Training with Noisy Labels
O Litany, D Freedman
ICLR workshop on Learning from Limited Labeled Data (LLD) -- Best Paper Award, 2019
White matter fiber representation using continuous dictionary learning
G Alexandroni, Y Podolsky, H Greenspan, T Remez, O Litany, A Bronstein, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2017
Shape correspondence with isometric and non-isometric deformations
RM Dyke, C Stride, YK Lai, PL Rosin, M Aubry, A Boyarski, AM Bronstein, ...
The Eurographics Association, 2019
Representation Learning Through Latent Canonicalizations
O Litany, A Morcos, S Sridhar, L Guibas, J Hoffman
arXiv preprint arXiv:2002.11829, 2020
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