b'Ronen Basri'

research

∙ 07/26/2023

Controlling the Inductive Bias of Wide Neural Networks by Modifying the Kernel's Spectrum

Wide neural networks are biased towards learning certain functions, infl...

0 Amnon Geifman, et al. ∙

research

∙ 11/27/2022

GRelPose: Generalizable End-to-End Relative Camera Pose Regression

This paper proposes a generalizable, end-to-end deep learning-based meth...

0 Fadi Khatib, et al. ∙

research

∙ 11/27/2022

A Kernel Perspective of Skip Connections in Convolutional Networks

Over-parameterized residual networks (ResNets) are amongst the most succ...

0 Daniel Barzilai, et al. ∙

research

∙ 03/17/2022

On the Spectral Bias of Convolutional Neural Tangent and Gaussian Process Kernels

We study the properties of various over-parametrized convolutional neura...

13 Amnon Geifman, et al. ∙

research

∙ 04/14/2021

Deep Permutation Equivariant Structure from Motion

Existing deep methods produce highly accurate 3D reconstructions in ster...

0 Dror Moran, et al. ∙

research

∙ 04/07/2021

Spectral Analysis of the Neural Tangent Kernel for Deep Residual Networks

Deep residual network architectures have been shown to achieve superior ...

0 Yuval Belfer, et al. ∙

research

∙ 03/03/2021

Shift Invariance Can Reduce Adversarial Robustness

Shift invariance is a critical property of CNNs that improves performanc...

11 Songwei Ge, et al. ∙

research

∙ 02/01/2021

Segmenting Microcalcifications in Mammograms and its Applications

Microcalcifications are small deposits of calcium that appear in mammogr...

18 Roee Zamir, et al. ∙

research

∙ 07/03/2020

On the Similarity between the Laplace and Neural Tangent Kernels

Recent theoretical work has shown that massively overparameterized neura...

0 Amnon Geifman, et al. ∙

research

∙ 05/18/2020

The Trimmed Lasso: Sparse Recovery Guarantees and Practical Optimization by the Generalized Soft-Min Penalty

We present a new approach to solve the sparse approximation or best subs...

0 Tal Amir, et al. ∙

research

∙ 03/12/2020

Learning Algebraic Multigrid Using Graph Neural Networks

Efficient numerical solvers for sparse linear systems are crucial in sci...

0 Ilay Luz, et al. ∙

research

∙ 03/10/2020

Frequency Bias in Neural Networks for Input of Non-Uniform Density

Recent works have partly attributed the generalization ability of over-p...

10 Ronen Basri, et al. ∙

research

∙ 11/30/2019

Averaging Essential and Fundamental Matrices in Collinear Camera Settings

Global methods to Structure from Motion have gained popularity in recent...

0 Amnon Geifman, et al. ∙

research

∙ 06/02/2019

The Convergence Rate of Neural Networks for Learned Functions of Different Frequencies

We study the relationship between the speed at which a neural network le...

0 Ronen Basri, et al. ∙

research

∙ 04/04/2019

Algebraic Characterization of Essential Matrices and Their Averaging in Multiview Settings

Essential matrix averaging, i.e., the task of recovering camera location...

0 Yoni Kasten, et al. ∙

research

∙ 02/25/2019

Learning to Optimize Multigrid PDE Solvers

Constructing fast numerical solvers for partial differential equations (...

0 Daniel Greenfeld, et al. ∙

research

∙ 01/27/2019

Resultant Based Incremental Recovery of Camera Pose from Pairwise Matches

Incremental (online) structure from motion pipelines seek to recover the...

0 Yoni Kasten, et al. ∙

research

∙ 12/02/2018

GPSfM: Global Projective SFM Using Algebraic Constraints on Multi-View Fundamental Matrices

This paper addresses the problem of recovering projective camera matrice...

0 Yoni Kasten, et al. ∙

research

∙ 01/04/2018

SpectralNet: Spectral Clustering using Deep Neural Networks

Spectral clustering is a leading and popular technique in unsupervised d...

0 Uri Shaham, et al. ∙

research

∙ 06/25/2017

Photometric Stereo by Hemispherical Metric Embedding

Photometric Stereo methods seek to reconstruct the 3d shape of an object...

0 Ofer Bartal, et al. ∙

research

∙ 06/22/2017

On Detection of Faint Edges in Noisy Images

A fundamental question for edge detection in noisy images is how faint c...

0 Nati Ofir, et al. ∙

research

∙ 02/10/2017

A New Rank Constraint on Multi-view Fundamental Matrices, and its Application to Camera Location Recovery

Accurate estimation of camera matrices is an important step in structure...

0 Soumyadip Sengupta, et al. ∙

research

∙ 02/02/2017

Solving Uncalibrated Photometric Stereo Using Fewer Images by Jointly Optimizing Low-rank Matrix Completion and Integrability

We introduce a new, integrated approach to uncalibrated photometric ster...

0 Soumyadip Sengupta, et al. ∙

research

∙ 01/30/2017

A Survey of Structure from Motion

The structure from motion (SfM) problem in computer vision is the proble...

0 Onur Ozyesil, et al. ∙

research

∙ 02/15/2016

Efficient Representation of Low-Dimensional Manifolds using Deep Networks

We consider the ability of deep neural networks to represent data that l...

0 Ronen Basri, et al. ∙

research

∙ 10/15/2015

Elasticity-based Matching by Minimizing the Symmetric Difference of Shapes

We consider the problem of matching two shapes assuming these shapes are...

0 Konrad Simon, et al. ∙

research

∙ 07/28/2015

A Hyperelastic Two-Scale Optimization Model for Shape Matching

We suggest a novel shape matching algorithm for three-dimensional surfac...

0 Konrad Simon, et al. ∙

research

∙ 07/28/2015

Learning 3D Deformation of Animals from 2D Images

Understanding how an animal can deform and articulate is essential for a...

0 Angjoo Kanazawa, et al. ∙

research

∙ 06/10/2015

Wide baseline stereo matching with convex bounded-distortion constraints

Finding correspondences in wide baseline setups is a challenging problem...

0 Meirav Galun, et al. ∙

research

∙ 09/21/2014

A Global Approach for Solving Edge-Matching Puzzles

We consider apictorial edge-matching puzzles, in which the goal is to ar...

0 Shahar Z. Kovalsky, et al. ∙

research

∙ 12/18/2013

Stable Camera Motion Estimation Using Convex Programming

We study the inverse problem of estimating n locations t_1, ..., t_n (up...

0 Onur Ozyesil, et al. ∙

research

∙ 10/10/2013

From Shading to Local Shape

We develop a framework for extracting a concise representation of the sh...

0 Ying Xiong, et al. ∙

research

∙ 04/14/2013

Single View Depth Estimation from Examples

We describe a non-parametric, "example-based" method for estimating the ...

0 Tal Hassner, et al. ∙

Ronen Basri

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