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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 2015Show all

6 papers · 1 filter

cs.CV2015

Elasticity-based Matching by Minimizing the Symmetric Difference of Shapes

Konrad Simon, Ronen Basri

We consider the problem of matching two shapes assuming these shapes are related by an elastic deformation. Using linearized elasticity theory and the finite element method we seek…

math.OC2015★ 11 cited

Identification of Structured LTI MIMO State-Space Models

Chengpu Yu, Michel Verhaegen, Shahar Kovalsky +1

The identification of structured state-space model has been intensively studied for a long time but still has not been adequately addressed. The main challenge is that the involved…

cs.CG2015

A Hyperelastic Two-Scale Optimization Model for Shape Matching

Konrad Simon, Sameer Sheorey, David Jacobs +1

We suggest a novel shape matching algorithm for three-dimensional surface meshes of disk or sphere topology. The method is based on the physical theory of nonlinear elasticity and…

cs.CV2015

Learning 3D Deformation of Animals from 2D Images

Angjoo Kanazawa, Shahar Kovalsky, Ronen Basri +1

Understanding how an animal can deform and articulate is essential for a realistic modification of its 3D model. In this paper, we show that such information can be learned from us…

cs.CV2015

Wide baseline stereo matching with convex bounded-distortion constraints

Meirav Galun, Tal Amir, Tal Hassner +2

Finding correspondences in wide baseline setups is a challenging problem. Existing approaches have focused largely on developing better feature descriptors for correspondence and o…

cs.CV2015★ 30 cited

Fast Detection of Curved Edges at Low SNR

Nati Ofir, Meirav Galun, Boaz Nadler +1

Detecting edges is a fundamental problem in computer vision with many applications, some involving very noisy images. While most edge detection methods are fast, they perform well…