On subjective and objective quality evaluation of point cloud geometry

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Stable water isotopes (SWIs) contain valuable information on the past climate and phase changes in the hydrologic cycle. Recently, vapor measurements in the polar regions have provided new insights into the effects of snow-related and atmospheric processes ...

In this paper, we propose a novel center-based decoupled point cloud registration framework for robust 6D object pose estimation in real-world scenarios. Our method decouples the translation from the entire transformation by predicting the object center an ...

In this paper, we study the rank-one convex hull of a differential inclusion associated to entropy solutions of a hyperbolic system of conservation laws. This was introduced in [B. Kirchheim, S. Muller and V. S(sic)ver & aacute;k, Studying Nonlinear PDE by ...

A crucial building block of responsible artificial intelligence is responsible data governance, including data collection. Its importance is also underlined in the latest EU regulations. The data should be of high quality, foremost correct and representati ...

Due to the increasing number of pictures captured and stored every day by and on digital devices, lossy image compression has become inevitable to limit the needed storage requirement. As a consequence, these compression methods might introduce some visual ...

This contribution explores the combined capabilities of reduced basis methods and IsoGeometric Analysis (IGA) in the context of parameterized partial differential equations. The introduction of IGA enables a unified simulation framework based on a single g ...

Unrefinement is a tool that allows to perform faster numerical simulations by controlling the level of precision in the specified area. We introduce an algorithm that creates a coarser geometry from an initial regular geometry, which is represented with re ...

Graph neural networks (GNN) are very popular methods in machine learning and have been applied very successfully to the prediction of the properties of molecules and materials. First-order GNNs are well known to be incomplete, i.e. there exist graphs that ...

The conjugate heat transfer in mixtures of a fluid and single granular clusters is studied in this paper using a novel lattice Boltzmann method (LBM) programmed for parallel computation on the graphics processing unit (GPU). The LBM is validated for heat c ...

On subjective and objective quality evaluation of point cloud geometry

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A Case Study on Drivers of the Isotopic Composition of Water Vapor at the Coast of East Antarctica

Center-Based Decoupled Point Cloud Registration for 6D Object Pose Estimation

T-5 configurations and hyperbolic systems

incentive Mechanism Design for Responsible Data Governance: A Large-Scale Field Experiment

Towards JPEG AIC part 3: visual quality assessment of high to visually lossless image coding

Reduced order modelling of nonaffine problems on parameterized NURBS multipatch geometries

An unrefinement algorithm for planar THB-spline parameterizations

Incompleteness of graph neural networks for points clouds in three dimensions

Conjugate heat transfer in isolated granular clusters with interstitial fluid using lattice Boltzmann method