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20132026
most citedThe Convergence Rate of Neural Networks for Learned Functions of Different Frequencies

116 citations · 543 across the 40 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.CV2019

Averaging Essential and Fundamental Matrices in Collinear Camera Settings

Amnon Geifman, Yoni Kasten, Meirav Galun +1

Global methods to Structure from Motion have gained popularity in recent years. A significant drawback of global methods is their sensitivity to collinear camera settings. In this…

cs.LG2019★ 116 cited

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

Ronen Basri, David Jacobs, Yoni Kasten +1

We study the relationship between the frequency of a function and the speed at which a neural network learns it. We build on recent results that show that the dynamics of overparam…

cs.CV2019

Algebraic Characterization of Essential Matrices and Their Averaging in Multiview Settings

Yoni Kasten, Amnon Geifman, Meirav Galun +1

Essential matrix averaging, i.e., the task of recovering camera locations and orientations in calibrated, multiview settings, is a first step in global approaches to Euclidean stru…

math.NA2019★ 29 cited

Learning to Optimize Multigrid PDE Solvers

Daniel Greenfeld, Meirav Galun, Ron Kimmel +2

Constructing fast numerical solvers for partial differential equations (PDEs) is crucial for many scientific disciplines. A leading technique for solving large-scale PDEs is using…

cs.CV2019★ 3 cited

Resultant Based Incremental Recovery of Camera Pose from Pairwise Matches

Yoni Kasten, Meirav Galun, Ronen Basri

Incremental (online) structure from motion pipelines seek to recover the camera matrix associated with an image given images, , whose camera matrices h…