Or Litany

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Google ∙ Tel Aviv University

Human 3D keypoints via spatial uncertainty modeling

We introduce a technique for 3D human keypoint estimation that directly ...
12/18/2020 ∙ by Francis Williams, et al. ∙ 5 ∙ share

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

3D object detection is an important yet demanding task that heavily reli...
12/08/2020 ∙ by He Wang, et al. ∙ 14 ∙ share

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Non-Rigid Puzzles

Shape correspondence is a fundamental problem in computer graphics and v...
11/26/2020 ∙ by Or Litany, et al. ∙ 5 ∙ share

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Learned Equivariant Rendering without Transformation Supervision

We propose a self-supervised framework to learn scene representations fr...
11/11/2020 ∙ by Cinjon Resnick, et al. ∙ 4 ∙ share

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ReLMoGen: Leveraging Motion Generation in Reinforcement Learning for Mobile Manipulation

Many Reinforcement Learning (RL) approaches use joint control signals (p...
08/18/2020 ∙ by Fei Xia, et al. ∙ 2 ∙ share

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

Arguably one of the top success stories of deep learning is transfer lea...
07/21/2020 ∙ by Saining Xie, et al. ∙ 11 ∙ share

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Object-Centric Multi-View Aggregation

We present an approach for aggregating a sparse set of views of an objec...
07/20/2020 ∙ by Shubham Tulsiani, et al. ∙ 17 ∙ share

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Representation Learning Through Latent Canonicalizations

We seek to learn a representation on a large annotated data source that ...
02/26/2020 ∙ by Or Litany, et al. ∙ 21 ∙ share

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On Learning Sets of Symmetric Elements

Learning from unordered sets is a fundamental learning setup, which is a...
02/20/2020 ∙ by Haggai Maron, et al. ∙ 21 ∙ share

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Continuous Geodesic Convolutions for Learning on 3D Shapes

The majority of descriptor-based methods for geometric processing of non...
02/06/2020 ∙ by Zhangsihao Yang, et al. ∙ 15 ∙ share

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

3D object detection has seen quick progress thanks to advances in deep l...
01/29/2020 ∙ by Charles R. Qi, et al. ∙ 15 ∙ share

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The Whole Is Greater Than the Sum of Its Nonrigid Parts

According to Aristotle, a philosopher in Ancient Greece, "the whole is g...
01/27/2020 ∙ by Oshri Halimi, et al. ∙ 11 ∙ share

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Deep Hough Voting for 3D Object Detection in Point Clouds

Current 3D object detection methods are heavily influenced by 2D detecto...
04/21/2019 ∙ by Charles R. Qi, et al. ∙ 18 ∙ share

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Self-supervised Learning of Dense Shape Correspondence

We introduce the first completely unsupervised correspondence learning a...
12/06/2018 ∙ by Oshri Halimi, et al. ∙ 6 ∙ share

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Class-Aware Fully-Convolutional Gaussian and Poisson Denoising

We propose a fully-convolutional neural-network architecture for image d...
08/20/2018 ∙ by Tal Remez, et al. ∙ 0 ∙ share

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Dual-Primal Graph Convolutional Networks

In recent years, there has been a surge of interest in developing deep l...
06/03/2018 ∙ by Federico Monti, et al. ∙ 0 ∙ share

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

We present SOSELETO (SOurce SELEction for Target Optimization), a new me...
05/24/2018 ∙ by Or Litany, et al. ∙ 0 ∙ share

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Deformable Shape Completion with Graph Convolutional Autoencoders

The availability of affordable and portable depth sensors has made scann...
12/01/2017 ∙ by Or Litany, et al. ∙ 0 ∙ share

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Efficient Deformable Shape Correspondence via Kernel Matching

We present a method to match three dimensional shapes under non-isometri...
07/25/2017 ∙ by Zorah Lähner, et al. ∙ 0 ∙ share

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Deep Class Aware Denoising

The increasing demand for high image quality in mobile devices brings fo...
01/06/2017 ∙ by Tal Remez, et al. ∙ 0 ∙ share

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Deep Convolutional Denoising of Low-Light Images

Poisson distribution is used for modeling noise in photon-limited imagin...
01/06/2017 ∙ by Tal Remez, et al. ∙ 0 ∙ share

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Cloud Dictionary: Sparse Coding and Modeling for Point Clouds

With the development of range sensors such as LIDAR and time-of-flight c...
12/15/2016 ∙ by Or Litany, et al. ∙ 0 ∙ share

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FPGA system for real-time computational extended depth of field imaging using phase aperture coding

We present a proof-of-concept end-to-end system for computational extend...
08/03/2016 ∙ by Tal Remez, et al. ∙ 0 ∙ share

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Image reconstruction from dense binary pixels

Recently, the dense binary pixel Gigavision camera had been introduced, ...
12/06/2015 ∙ by Or Litany, et al. ∙ 0 ∙ share

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ASIST: Automatic Semantically Invariant Scene Transformation

We present ASIST, a technique for transforming point clouds by replacing...
12/04/2015 ∙ by Or Litany, et al. ∙ 0 ∙ share

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A Picture is Worth a Billion Bits: Real-Time Image Reconstruction from Dense Binary Pixels

The pursuit of smaller pixel sizes at ever increasing resolution in digi...
10/15/2015 ∙ by Tal Remez, et al. ∙ 0 ∙ share

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Or Litany

Featured Co-authors

Kyunghyun Cho

Daniel Cremers

Silvio Savarese

Joan Bruna

Raja Giryes

Hugo Larochelle

Leonidas Guibas

Kaiming He

Ron Kimmel

Michael M. Bronstein

Leonidas J. Guibas

Human 3D keypoints via spatial uncertainty modeling

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

Non-Rigid Puzzles

Learned Equivariant Rendering without Transformation Supervision

ReLMoGen: Leveraging Motion Generation in Reinforcement Learning for Mobile Manipulation

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

Object-Centric Multi-View Aggregation

Representation Learning Through Latent Canonicalizations

On Learning Sets of Symmetric Elements

Continuous Geodesic Convolutions for Learning on 3D Shapes

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

The Whole Is Greater Than the Sum of Its Nonrigid Parts

Deep Hough Voting for 3D Object Detection in Point Clouds

Self-supervised Learning of Dense Shape Correspondence

Class-Aware Fully-Convolutional Gaussian and Poisson Denoising

Dual-Primal Graph Convolutional Networks

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

Deformable Shape Completion with Graph Convolutional Autoencoders

Efficient Deformable Shape Correspondence via Kernel Matching

Deep Class Aware Denoising

Deep Convolutional Denoising of Low-Light Images

Cloud Dictionary: Sparse Coding and Modeling for Point Clouds

FPGA system for real-time computational extended depth of field imaging using phase aperture coding

Image reconstruction from dense binary pixels

ASIST: Automatic Semantically Invariant Scene Transformation

A Picture is Worth a Billion Bits: Real-Time Image Reconstruction from Dense Binary Pixels