Or Litany

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Google ∙ Tel Aviv University

Spectral Unions of Partial Deformable 3D Shapes

Spectral geometric methods have brought revolutionary changes to the fie...
03/31/2021 ∙ by Luca Moschella, et al. ∙ 9 ∙ share

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

The success of learning with noisy labels (LNL) methods relies heavily o...
03/25/2021 ∙ by Evgenii Zheltonozhskii, et al. ∙ 4 ∙ share

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Weakly Supervised Learning of Rigid 3D Scene Flow

We propose a data-driven scene flow estimation algorithm exploiting the ...
02/17/2021 ∙ by Zan Gojcic, et al. ∙ 4 ∙ share

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Self-Supervised Equivariant Scene Synthesis from Video

We propose a self-supervised framework to learn scene representations fr...
02/01/2021 ∙ by Cinjon Resnick, et al. ∙ 8 ∙ share

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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

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