Publications related to Least-Squares Image Resizing Using Finite Differences

Efficient Continual Finite-Sum Minimization

Volkan Cevher, Efstratios Panteleimon Skoulakis, Leello Tadesse Dadi

Given a sequence of functions

f_1,\ldots,f_n

with

f_i:\mathcal{D}\mapsto \mathbb{R}

, finite-sum minimization seeks a point

{x}^\star \in \mathcal{D}

minimizing

\sum_{j=1}^nf_j(x)/n

. In this work, we propose a key twist into the finite-sum minimizat ...

2024

Optimizing Data Processing for Nanodiamond Based Relaxometry

Mayeul Sylvain Chipaux

The nitrogen-vacancy (NV) center in diamond is a powerful and versatile quantum sensor for diverse quantities. In particular, relaxometry (or T1), can be used to detect magnetic noise at the nanoscale. For experiments with single NV centers the analysis of ...

WILEY2023

A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning

Jean-Philippe Thiran

Ultrafast ultrasound imaging, characterized by high frame rates, generates low-quality images. Convolutional neural networks (CNNs) have demonstrated great potential to enhance image quality without compromising the frame rate. However, CNNs have been most ...

2023

Time Dependent Image Generation of Plants from Incomplete Sequences with CNN-Transformer

Marc Conrad Russwurm

Data imputation of incomplete image sequences is an essential prerequisite for analyzing and monitoring all development stages of plants in precision agriculture. For this purpose, we propose a conditional Wasserstein generative adversarial network TransGr ...

SPRINGER INTERNATIONAL PUBLISHING AG2022

Tensor-Based Numerical Method For Stochastic Homogenization

This paper addresses the complexity reduction of stochastic homogenization of a class of random materials for a stationary diffusion equation. A cost-efficient approximation of the correctors is obtained using a method designed to exploit quasi-periodicity ...

SIAM PUBLICATIONS2022

MATHICSE Technical Report: THU-Splines - Highly Localized Refinement on Smooth Unstructured Splines

Xiaodong Wei

We present a novel method named truncated hierarchical unstructured splines (THU-splines) that supports both local h-refinement and unstructured quadrilateral meshes. In a THU-spline construction, an unstructured quadrilateral mesh is taken as the input co ...

MATHICSE2021

Method and system for generating a three-dimensional model based on spherical photogrammetry

Frédéric Kaplan, Pierre-André Mudry, Nils Hamel, Albane Bénédicte Descombes

A computer-implemented method is proposed for creating a three-dimensional model of the environment. The method comprises the steps of planning (105) a trajectory for a moving system carrying an omnidirectional camera comprising a first image sensor facing ...

2021

Fast assembly of Galerkin matrices for 3D solid laminated composites using finite element and isogeometric discretizations

Pablo Antolin Sanchez

This work presents a novel methodology for speeding up the assembly of stiffness matrices for laminate composite 3D structures in the context of isogeometric and finite element discretizations. By splitting the involved terms into their in-plane and out-of ...

2020

Dictionary Learning for Two-Dimensional Kendall Shapes

Michaël Unser, Julien René Pierre Fageot, Virginie Sophie Uhlmann, Anna You-Lai Song

We propose a novel sparse dictionary learning method for planar shapes in the sense of Kendall, namely configurations of landmarks in the plane considered up to similitudes. Our shape dictionary method provides a good trade-off between algorithmic simplici ...

SIAM PUBLICATIONS2020

Genetic-Optimized Pulse Coding Technique for Brillouin Distributed Optical Fiber Sensing

Luc Thévenaz, Marcelo Alfonso Soto Hernandez, Zhisheng Yang, Simon Adrien Zaslawski, Sheng Wang, Jian Wu

A single code sequence designed by a genetic searching algorithm is proposed to enhance the signal-to-noise ratio of Brillouin distributed sensors without hardware modification, enabling high-performance and cost-effective sensing over a 200-km-loop setup. ...

2020

Least-Squares Image Resizing Using Finite Differences

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Efficient Continual Finite-Sum Minimization

Optimizing Data Processing for Nanodiamond Based Relaxometry

A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning

Time Dependent Image Generation of Plants from Incomplete Sequences with CNN-Transformer

Tensor-Based Numerical Method For Stochastic Homogenization

MATHICSE Technical Report: THU-Splines - Highly Localized Refinement on Smooth Unstructured Splines

Method and system for generating a three-dimensional model based on spherical photogrammetry

Fast assembly of Galerkin matrices for 3D solid laminated composites using finite element and isogeometric discretizations

Dictionary Learning for Two-Dimensional Kendall Shapes

Genetic-Optimized Pulse Coding Technique for Brillouin Distributed Optical Fiber Sensing

Optimizing Data Processing for Nanodiamond Based Relaxometry

A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning

Efficient Continual Finite-Sum Minimization

Genetic-Optimized Pulse Coding Technique for Brillouin Distributed Optical Fiber Sensing

Time Dependent Image Generation of Plants from Incomplete Sequences with CNN-Transformer

Tensor-Based Numerical Method For Stochastic Homogenization

MATHICSE Technical Report: THU-Splines - Highly Localized Refinement on Smooth Unstructured Splines

Dictionary Learning for Two-Dimensional Kendall Shapes

Fast assembly of Galerkin matrices for 3D solid laminated composites using finite element and isogeometric discretizations

Method and system for generating a three-dimensional model based on spherical photogrammetry