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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...
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11/27/2022
GRelPose: Generalizable End-to-End Relative Camera Pose Regression
This paper proposes a generalizable, end-to-end deep learning-based meth...
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11/27/2022
A Kernel Perspective of Skip Connections in Convolutional Networks
Over-parameterized residual networks (ResNets) are amongst the most succ...
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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...
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04/14/2021
Deep Permutation Equivariant Structure from Motion
Existing deep methods produce highly accurate 3D reconstructions in ster...
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04/07/2021
Spectral Analysis of the Neural Tangent Kernel for Deep Residual Networks
Deep residual network architectures have been shown to achieve superior ...
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03/03/2021
Shift Invariance Can Reduce Adversarial Robustness
Shift invariance is a critical property of CNNs that improves performanc...
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02/01/2021
Segmenting Microcalcifications in Mammograms and its Applications
Microcalcifications are small deposits of calcium that appear in mammogr...
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07/03/2020
On the Similarity between the Laplace and Neural Tangent Kernels
Recent theoretical work has shown that massively overparameterized neura...
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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...
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03/12/2020
Learning Algebraic Multigrid Using Graph Neural Networks
Efficient numerical solvers for sparse linear systems are crucial in sci...
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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...
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11/30/2019
Averaging Essential and Fundamental Matrices in Collinear Camera Settings
Global methods to Structure from Motion have gained popularity in recent...
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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...
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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...
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02/25/2019
Learning to Optimize Multigrid PDE Solvers
Constructing fast numerical solvers for partial differential equations (...
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01/27/2019
Resultant Based Incremental Recovery of Camera Pose from Pairwise Matches
Incremental (online) structure from motion pipelines seek to recover the...
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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...
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01/04/2018
SpectralNet: Spectral Clustering using Deep Neural Networks
Spectral clustering is a leading and popular technique in unsupervised d...
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06/25/2017
Photometric Stereo by Hemispherical Metric Embedding
Photometric Stereo methods seek to reconstruct the 3d shape of an object...
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06/22/2017
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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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...
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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...
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01/30/2017
A Survey of Structure from Motion
The structure from motion (SfM) problem in computer vision is the proble...
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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...
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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...
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07/28/2015
A Hyperelastic Two-Scale Optimization Model for Shape Matching
We suggest a novel shape matching algorithm for three-dimensional surfac...
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07/28/2015
Learning 3D Deformation of Animals from 2D Images
Understanding how an animal can deform and articulate is essential for a...
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06/10/2015
Wide baseline stereo matching with convex bounded-distortion constraints
Finding correspondences in wide baseline setups is a challenging problem...
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09/21/2014
A Global Approach for Solving Edge-Matching Puzzles
We consider apictorial edge-matching puzzles, in which the goal is to ar...
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12/18/2013
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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10/10/2013
From Shading to Local Shape
We develop a framework for extracting a concise representation of the sh...
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04/14/2013