
Frequency Bias in Neural Networks for Input of NonUniform Density
Recent works have partly attributed the generalization ability of overp...
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Photometric Stereo by Hemispherical Metric Embedding
Photometric Stereo methods seek to reconstruct the 3d shape of an object...
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On Detection of Faint Edges in Noisy Images
A fundamental question for edge detection in noisy images is how faint c...
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A New Rank Constraint on Multiview Fundamental Matrices, and its Application to Camera Location Recovery
Accurate estimation of camera matrices is an important step in structure...
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Solving Uncalibrated Photometric Stereo Using Fewer Images by Jointly Optimizing Lowrank Matrix Completion and Integrability
We introduce a new, integrated approach to uncalibrated photometric ster...
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A Survey of Structure from Motion
The structure from motion (SfM) problem in computer vision is the proble...
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Efficient Representation of LowDimensional Manifolds using Deep Networks
We consider the ability of deep neural networks to represent data that l...
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Elasticitybased Matching by Minimizing the Symmetric Difference of Shapes
We consider the problem of matching two shapes assuming these shapes are...
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Learning 3D Deformation of Animals from 2D Images
Understanding how an animal can deform and articulate is essential for a...
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Wide baseline stereo matching with convex boundeddistortion constraints
Finding correspondences in wide baseline setups is a challenging problem...
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A Global Approach for Solving EdgeMatching Puzzles
We consider apictorial edgematching puzzles, in which the goal is to ar...
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Stable Camera Motion Estimation Using Convex Programming
We study the inverse problem of estimating n locations t_1, ..., t_n (up...
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From Shading to Local Shape
We develop a framework for extracting a concise representation of the sh...
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Single View Depth Estimation from Examples
We describe a nonparametric, "examplebased" method for estimating the ...
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A Hyperelastic TwoScale Optimization Model for Shape Matching
We suggest a novel shape matching algorithm for threedimensional surfac...
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SpectralNet: Spectral Clustering using Deep Neural Networks
Spectral clustering is a leading and popular technique in unsupervised d...
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GPSfM: Global Projective SFM Using Algebraic Constraints on MultiView Fundamental Matrices
This paper addresses the problem of recovering projective camera matrice...
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Resultant Based Incremental Recovery of Camera Pose from Pairwise Matches
Incremental (online) structure from motion pipelines seek to recover the...
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Learning to Optimize Multigrid PDE Solvers
Constructing fast numerical solvers for partial differential equations (...
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Algebraic Characterization of Essential Matrices and Their Averaging in Multiview Settings
Essential matrix averaging, i.e., the task of recovering camera location...
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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...
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Averaging Essential and Fundamental Matrices in Collinear Camera Settings
Global methods to Structure from Motion have gained popularity in recent...
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Learning Algebraic Multigrid Using Graph Neural Networks
Efficient numerical solvers for sparse linear systems are crucial in sci...
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