activity
20162023
most citedDeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds

41 citations · 59 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CG2023★ 6 cited

A Fast Geometric Multigrid Method for Curved Surfaces

Ruben Wiersma, Ahmad Nasikun, Elmar Eisemann +1

We introduce a geometric multigrid method for solving linear systems arising from variational problems on surfaces in geometry processing, Gravo MG. Our scheme uses point clouds as…

math.NA2021

Evaluations of The Hierarchical Subspace Iteration Method

Ahmad Nasikun, Klaus Hildebrandt

This document contains additional experiments concerned with the evaluation of the Hierarchical Subspace Iteration Method, which is introduced in~\cite{Nasikun2021}}

math.NA2021★ 12 cited

The Hierarchical Subspace Iteration Method for Laplace--Beltrami Eigenproblems

Ahmad Nasikun, Klaus Hildebrandt

Sparse eigenproblems are important for various applications in computer graphics. The spectrum and eigenfunctions of the Laplace--Beltrami operator, for example, are fundamental fo…

cs.CV2021★ 41 cited

DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds

Ruben Wiersma, Ahmad Nasikun, Elmar Eisemann +1

Learning from 3D point-cloud data has rapidly gained momentum, motivated by the success of deep learning on images and the increased availability of 3D~data. In this paper, we aim…

cs.CY2016

Digitory, A Smart Way of Learning Islamic History in Digital Era

Dimas Agil Marenda, Ahmad Nasikun, Canggih Puspo Wibowo

In this paper, we would like to propose our web-based application for Islamic history learning system, named Digitory-Digital History. There are two main navigations to browse hist…