Search Results for author:
Found 16 papers, 8 papers with code
Basis restricted elastic shape analysis on the space of unregistered surfaces
The use of such bases allows to simplify the representation of the corresponding shape space to a finite dimensional latent space.
BaRe-ESA: A Riemannian Framework for Unregistered Human Body Shapes
We present Basis Restricted Elastic Shape Analysis (BaRe-ESA), a novel Riemannian framework for human body scan representation, interpolation and extrapolation.
Elastic shape analysis of surfaces with second-order Sobolev metrics: a comprehensive numerical framework
This paper introduces a set of numerical methods for Riemannian shape analysis of 3D surfaces within the setting of invariant (elastic) second-order Sobolev metrics.
Modeling the Shape of the Brain Connectome via Deep Neural Networks
The goal of diffusion-weighted magnetic resonance imaging (DWI) is to infer the structural connectivity of an individual subject's brain in vivo.
Integrated Construction of Multimodal Atlases with Structural Connectomes in the Space of Riemannian Metrics
In order to enable population-level statistical analysis of the structural connectome, we propose representing a connectome as a Riemannian metric, which is a point on an infinite-dimensional manifold.
IoT Virtualization with ML-based Information Extraction
To address this issue, the Fed4IoT project has developed an IoT virtualization platform that, on the one hand, integrates information from many different source platforms and, on the other hand, makes the information required by the respective users available in the target platform of choice.
Physics Informed Convex Artificial Neural Networks (PICANNs) for Optimal Transport based Density Estimation
Optimal Mass Transport (OMT) is a well studied problem with a variety of applications in a diverse set of fields ranging from Physics to Computer Vision and in particular Statistics and Data Science.
Structural Connectome Atlas Construction in the Space of Riemannian Metrics
The structural connectome is often represented by fiber bundles generated from various types of tractography.
Feebly-Interacting Particles:FIPs 2020 Workshop Report
With the establishment and maturation of the experimental programs searching for new physics with sizeable couplings at the LHC, there is an increasing interest in the broader particle and astrophysics community for exploring the physics of light and feebly-interacting particles as a paradigm complementary to a New Physics sector at the TeV scale and beyond.
High Energy Physics - Phenomenology
Supervised deep learning of elastic SRV distances on the shape space of curves
Motivated by applications from computer vision to bioinformatics, the field of shape analysis deals with problems where one wants to analyze geometric objects, such as curves, while ignoring actions that preserve their shape, such as translations, rotations, or reparametrizations.
A numerical framework for elastic surface matching, comparison, and interpolation
Square root normal fields (SRNF) considerably simplify the computation of certain elastic distances between parametrized surfaces.
Light Dark Matter Annihilation and Scattering in LHC Detectors
We systematically study models with light scalar and pseudoscalar dark matter candidates and their potential signals at the LHC.
High Energy Physics - Phenomenology High Energy Physics - Experiment
An inexact matching approach for the comparison of plane curves with general elastic metrics
This paper introduces a new mathematical formulation and numerical approach for the computation of distances and geodesics between immersed planar curves.
Shape Analysis of Surfaces Using General Elastic Metrics
In this article we introduce a family of elastic metrics on the space of parametrized surfaces in 3D space using a corresponding family of metrics on the space of vector valued one-forms.
Differential Geometry Optimization and Control 49Q10, 58B20
LHC Dark Matter Working Group: Next-generation spin-0 dark matter models
The exclusion limits obtained from the proposed scans can be consistently compared to the constraints on the $\textrm{2HDM+a}$ model that derive from DD, ID and the DM relic density.
High Energy Physics - Experiment High Energy Physics - Phenomenology
Landmark-Guided Elastic Shape Analysis of Human Character Motions
Motions of virtual characters in movies or video games are typically generated by recording actors using motion capturing methods.
