research
∙
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...
share
research
∙
11/27/2022
GRelPose: Generalizable End-to-End Relative Camera Pose Regression
This paper proposes a generalizable, end-to-end deep learning-based meth...
research
∙
11/27/2022
A Kernel Perspective of Skip Connections in Convolutional Networks
Over-parameterized residual networks (ResNets) are amongst the most succ...
research
∙
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...
research
∙
04/14/2021
Deep Permutation Equivariant Structure from Motion
Existing deep methods produce highly accurate 3D reconstructions in ster...
research
∙
04/07/2021
Spectral Analysis of the Neural Tangent Kernel for Deep Residual Networks
Deep residual network architectures have been shown to achieve superior ...
research
∙
10/28/2020
Point of Care Image Analysis for COVID-19
Early detection of COVID-19 is key in containing the pandemic. Disease d...
research
∙
07/03/2020
On the Similarity between the Laplace and Neural Tangent Kernels
Recent theoretical work has shown that massively overparameterized neura...
research
∙
03/12/2020
Learning Algebraic Multigrid Using Graph Neural Networks
Efficient numerical solvers for sparse linear systems are crucial in sci...
research
∙
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...
research
∙
11/30/2019
Averaging Essential and Fundamental Matrices in Collinear Camera Settings
Global methods to Structure from Motion have gained popularity in recent...
research
∙
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...
research
∙
02/25/2019
Learning to Optimize Multigrid PDE Solvers
Constructing fast numerical solvers for partial differential equations (...
research
∙
01/27/2019
Resultant Based Incremental Recovery of Camera Pose from Pairwise Matches
Incremental (online) structure from motion pipelines seek to recover the...
research
∙
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...
research
∙
06/22/2017
On Detection of Faint Edges in Noisy Images
A fundamental question for edge detection in noisy images is how faint c...
research
∙
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...
research
∙
06/10/2015
Wide baseline stereo matching with convex bounded-distortion constraints
Finding correspondences in wide baseline setups is a challenging problem...
research
∙
10/26/2012
A Multiscale Framework for Challenging Discrete Optimization
Current state-of-the-art discrete optimization methods struggle behind w...
research
∙
04/22/2012
A Unified Multiscale Framework for Discrete Energy Minimization
Discrete energy minimization is a ubiquitous task in computer vision, ye...
research
∙
12/13/2011
