Publications related to Accurate Face Models from Uncalibrated and Ill-Lit Video Sequences

Adversarial Parametric Pose Prior

Pascal Fua, Mathieu Salzmann, Anastasia Remizova, Andrey Davydov, Victor Constantin, Sina Honari

The Skinned Multi-Person Linear (SMPL) model represents human bodies by mapping pose and shape parameters to body meshes. However, not all pose and shape parameter values yield physically-plausible or even realistic body meshes. In other words, SMPL is und ...

IEEE2022

Information content and aerosol property retrieval potential for different types of in situ polar nephelometer data

Alireza Moallemi, Robin Lewis Modini, Philippe Giaccari

Polar nephelometers are in situ instruments used to measure the angular distribution of light scattered by aerosol particles. These types of measurements contain substantial information about the properties of the aerosol being probed (e.g. concentrations, ...

2022

Practical issues with modeling extreme Brazilian rainfall

Anthony Christopher Davison, Isolde Santos Previdelli, Paulo Vitor Da Costa Pereira

Accurately quantifying extreme rainfall is important for the design of hydraulic structures, for flood mapping and zoning and for disaster management. In order to produce maps of estimates of 25-year rainfall return levels in Brazil, we selected 893 shorte ...

BRAZILIAN STATISTICAL ASSOCIATION2021

Revisiting the Calculation of the Early Time HEMP Conducted Environment

Carlos Alberto Romero Romero, Nicolas Mora Parra

The early time high altitude electromagnetic pulse conducted environment calculation is revisited by using the transmission line (TL) theory and including high-frequency corrections that were not present in the earlier studies. Waveform salient parameters, ...

2021

A non-intrusive multifidelity method for the reduced order modeling of nonlinear problems

Jan Sickmann Hesthaven, Mariella Kast, Mengwu Guo

We propose a non-intrusive reduced basis (RB) method for parametrized nonlinear partial differential equations (PDEs) that leverages models of different accuracy. From a collection of low-fidelity (LF) snapshots, parameter locations are extracted for the e ...

ELSEVIER SCIENCE SA2020

Parameter Determination of Sensor Stochastic Models under Covariate Dependency

Jan Skaloud, Stéphane Guerrier, Philipp Clausen

The proliferation of (low-cost) sensors provokes new challenges in data fusion. This is related to the correctness of stochastic characterization that is a prerequisite for optimal estimation of parameters from redundant observations. Different (statistica ...

2017

Optimizing the acceleration and resolution of three-dimensional fat image navigators for high-resolution motion correction at 7T

José Pedro Rebelo Ferreira Marques, Daniel Gallichan

PURPOSE: To investigate the effect of spatial resolution and parallel imaging acceleration factor on the quality of the motion estimates derived from image navigators with a three-dimensional (3D) gradient-recalled echo (GRE) acquisition with fat excitatio ...

Wiley-Blackwell2017

Renormalization and blow up for wave maps from $S^2 \times \mathbb{R}$ to $S^2$

Sohrab Mirshams Shahshahani

We construct a one parameter family of nite time blow ups to the co-rotational wave maps problem from

S^2\times R

to

S^2

parameterized by

\nu \epsilon (\frac{1}{2},1]

. The longitudinal function

u(t,\alpha)

which is the main object of study will be ...

2016

RENORMALIZATION AND BLOW-UP FOR WAVE MAPS FROM S-2 x R TO S-2

Sohrab Mirshams Shahshahani

We construct a one parameter family of finite time blow-ups to the co-rotational wave maps problem from S-2 x R to S-2, parameterized by nu is an element of (1/2, 1]. The longitudinal function u(t, alpha) which is the main object of study will be obtained ...

American Mathematical Society2016

Parameter estimates for the Relaxed Dimensional Factorization preconditioner and application to hemodynamics

Alfio Quarteroni, Simone Deparis, Gwenol Grandperrin

We present new results on the Relaxed Dimensional Factorization (RDF) preconditioner for solving saddle point problems from incompressible flow simulations, first introduced in Benzi et al. (2011). This method contains a parameter α>0α>0, to be chosen by t ...

Elsevier2016

Accurate Face Models from Uncalibrated and Ill-Lit Video Sequences

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Adversarial Parametric Pose Prior

Information content and aerosol property retrieval potential for different types of in situ polar nephelometer data

Practical issues with modeling extreme Brazilian rainfall

Revisiting the Calculation of the Early Time HEMP Conducted Environment

A non-intrusive multifidelity method for the reduced order modeling of nonlinear problems

Parameter Determination of Sensor Stochastic Models under Covariate Dependency

Optimizing the acceleration and resolution of three-dimensional fat image navigators for high-resolution motion correction at 7T

Renormalization and blow up for wave maps from $S^2 \times \mathbb{R}$ to $S^2$

RENORMALIZATION AND BLOW-UP FOR WAVE MAPS FROM S-2 x R TO S-2

Parameter estimates for the Relaxed Dimensional Factorization preconditioner and application to hemodynamics

Adversarial Parametric Pose Prior

Revisiting the Calculation of the Early Time HEMP Conducted Environment

Information content and aerosol property retrieval potential for different types of in situ polar nephelometer data

Practical issues with modeling extreme Brazilian rainfall

Optimizing the acceleration and resolution of three-dimensional fat image navigators for high-resolution motion correction at 7T

Renormalization and blow up for wave maps from $S^2 \times \mathbb{R}$ to $S^2$

Parameter Determination of Sensor Stochastic Models under Covariate Dependency

A non-intrusive multifidelity method for the reduced order modeling of nonlinear problems

Parameter estimates for the Relaxed Dimensional Factorization preconditioner and application to hemodynamics

RENORMALIZATION AND BLOW-UP FOR WAVE MAPS FROM S-2 x R TO S-2