
Deep Permutation Equivariant Structure from Motion
Existing deep methods produce highly accurate 3D reconstructions in ster...
read it

Spectral Analysis of the Neural Tangent Kernel for Deep Residual Networks
Deep residual network architectures have been shown to achieve superior ...
read it

Shift Invariance Can Reduce Adversarial Robustness
Shift invariance is a critical property of CNNs that improves performanc...
read it

Segmenting Microcalcifications in Mammograms and its Applications
Microcalcifications are small deposits of calcium that appear in mammogr...
read it

On the Similarity between the Laplace and Neural Tangent Kernels
Recent theoretical work has shown that massively overparameterized neura...
read it

The Trimmed Lasso: Sparse Recovery Guarantees and Practical Optimization by the Generalized SoftMin Penalty
We present a new approach to solve the sparse approximation or best subs...
read it

Learning Algebraic Multigrid Using Graph Neural Networks
Efficient numerical solvers for sparse linear systems are crucial in sci...
read it

Frequency Bias in Neural Networks for Input of NonUniform Density
Recent works have partly attributed the generalization ability of overp...
read it

Averaging Essential and Fundamental Matrices in Collinear Camera Settings
Global methods to Structure from Motion have gained popularity in recent...
read it

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...
read it

Algebraic Characterization of Essential Matrices and Their Averaging in Multiview Settings
Essential matrix averaging, i.e., the task of recovering camera location...
read it

Learning to Optimize Multigrid PDE Solvers
Constructing fast numerical solvers for partial differential equations (...
read it

Resultant Based Incremental Recovery of Camera Pose from Pairwise Matches
Incremental (online) structure from motion pipelines seek to recover the...
read it

GPSfM: Global Projective SFM Using Algebraic Constraints on MultiView Fundamental Matrices
This paper addresses the problem of recovering projective camera matrice...
read it

SpectralNet: Spectral Clustering using Deep Neural Networks
Spectral clustering is a leading and popular technique in unsupervised d...
read it

Photometric Stereo by Hemispherical Metric Embedding
Photometric Stereo methods seek to reconstruct the 3d shape of an object...
read it

On Detection of Faint Edges in Noisy Images
A fundamental question for edge detection in noisy images is how faint c...
read it

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...
read it

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...
read it

A Survey of Structure from Motion
The structure from motion (SfM) problem in computer vision is the proble...
read it

Efficient Representation of LowDimensional Manifolds using Deep Networks
We consider the ability of deep neural networks to represent data that l...
read it

Elasticitybased Matching by Minimizing the Symmetric Difference of Shapes
We consider the problem of matching two shapes assuming these shapes are...
read it

A Hyperelastic TwoScale Optimization Model for Shape Matching
We suggest a novel shape matching algorithm for threedimensional surfac...
read it

Learning 3D Deformation of Animals from 2D Images
Understanding how an animal can deform and articulate is essential for a...
read it

Wide baseline stereo matching with convex boundeddistortion constraints
Finding correspondences in wide baseline setups is a challenging problem...
read it

A Global Approach for Solving EdgeMatching Puzzles
We consider apictorial edgematching puzzles, in which the goal is to ar...
read it

Stable Camera Motion Estimation Using Convex Programming
We study the inverse problem of estimating n locations t_1, ..., t_n (up...
read it

From Shading to Local Shape
We develop a framework for extracting a concise representation of the sh...
read it

Single View Depth Estimation from Examples
We describe a nonparametric, "examplebased" method for estimating the ...
read it