Searched for: +
(1 - 20 of 22)

Pages

document
Schulze Balhorn, L. (author), Weber, J.M. (author), Buijsman, S.N.R. (author), Hildebrandt, Julian R. (author), Ziefle, Martina (author), Schweidtmann, A.M. (author)
ChatGPT is a powerful language model from OpenAI that is arguably able to comprehend and generate text. ChatGPT is expected to greatly impact society, research, and education. An essential step to understand ChatGPT’s expected impact is to study its domain-specific answering capabilities. Here, we perform a systematic empirical assessment of...
journal article 2024
document
Mody, P. (author), Huiskes, Merle (author), Chaves-de-Plaza, Nicolas F. (author), Onderwater, Alice (author), Lamsma, Rense (author), Hildebrandt, K.A. (author), Hoekstra, Nienke (author), Astreinidou, Eleftheria (author), Staring, M. (author)
Background and purpose: Retrospective dose evaluation for organ-at-risk auto-contours has previously used small cohorts due to additional manual effort required for treatment planning on auto-contours. We aimed to do this at large scale, by a) proposing and assessing an automated plan optimization workflow that used existing clinical plan...
journal article 2024
document
Wiersma, R.T. (author), Nasikun, A. (author), Eisemann, E. (author), Hildebrandt, K.A. (author)
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 a reduced representation of the levels of the multigrid hierarchy to achieve a fast hierarchy construction and to extend the applicability of the method from triangle...
conference paper 2023
document
Nasikun, A. (author), Hildebrandt, K.A. (author)
Sparse eigenproblems are important for various applications in computer graphics. The spectrum and eigenfunctions of the Laplace–Beltrami operator, for example, are fundamental for methods in shape analysis and mesh processing. The Subspace Iteration Method is a robust solver for these problems. In practice, however, Lanczos schemes are often...
journal article 2022
document
Wiersma, R.T. (author), Nasikun, A. (author), Eisemann, E. (author), Hildebrandt, K.A. (author)
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 to construct anisotropic convolution layers that work directly on the surface derived from a point cloud. This is challenging because of the lack of a global...
journal article 2022
document
Chaves-de-Plaza, Nicolas F. (author), Mody, P. (author), Hildebrandt, K.A. (author), Staring, M. (author), Astreinidou, Eleftheria (author), de Ridder, Mischa (author), de Ridder, H. (author), van Egmond, R. (author)
Delineation of tumours and organs-at-risk permits detecting and correcting changes in the patients' anatomy throughout the treatment, making it a core step of adaptive external beam radiotherapy. Although auto-contouring technologies have sped up this process, the time needed to perform the quality assessment of the generated contours remains a...
book chapter 2022
document
Landmann, Jannis (author), Hammer, T.C. (author), Günther, Henning (author), Hildebrandt, Arndt (author)
The concept of floating vegetation-based islands for the bioremediation of aquatic ecosystems is well known. Less so, their hydrodynamic capabilities regarding the damping performance, positional stability and water-structure interactions. To this end, physical model tests with fully organic, reed-based gabions were carried out in a large...
journal article 2022
document
Mody, Prerak (author), Chaves-de-Plaza, Nicolas F. (author), Hildebrandt, K.A. (author), van Egmond, R. (author), de Ridder, H. (author), Staring, Marius (author)
Deep learning models for organ contouring in radiotherapy are poised for clinical usage, but currently, there exist few tools for automated quality assessment (QA) of the predicted contours. Bayesian models and their associated uncertainty, can potentially automate the process of detecting inaccurate predictions. We investigate two Bayesian...
journal article 2022
document
Lin, Y. (author), Wiersma, R.T. (author), Pintea, S. (author), Hildebrandt, K.A. (author), Eisemann, E. (author), van Gemert, J.C. (author)
Deep learning has improved vanishing point detection in images. Yet, deep networks require expensive annotated datasets trained on costly hardware and do not generalize to even slightly different domains, and minor problem variants. Here, we address these issues by injecting deep vanishing point detection networks with prior knowledge. This...
conference paper 2022
document
Raateland, Wouter (author), Hädrich, Torsten (author), Herrera, Jorge Alejandro Amador (author), Banuti, Daniel T. (author), Pałubicki, Wojciech (author), Pirk, Sören (author), Hildebrandt, K.A. (author), Michels, Dominik L. (author)
We introduce Dynamic Constrained Grid (DCGrid), a hierarchical and adaptive grid structure for fluid simulation combined with a scheme for effectively managing the grid adaptations. DCGrid is designed to be implemented on the GPU and used in high-performance simulations. Specifically, it allows us to efficiently vary and adjust the grid...
journal article 2022
document
Mody, Prerak (author), Chaves-de-Plaza, Nicolas F. (author), Hildebrandt, K.A. (author), Staring, M. (author)
Bayesian Neural Nets (BNN) are increasingly used for robust organ auto-contouring. Uncertainty heatmaps extracted from BNNs have been shown to correspond to inaccurate regions. To help speed up the mandatory quality assessment (QA) of contours in radiotherapy, these heatmaps could be used as stimuli to direct visual attention of clinicians to...
conference paper 2022
document
Wiersma, R.T. (author), Eisemann, E. (author), Hildebrandt, K.A. (author)
This paper is concerned with a fundamental problem in geometric deep learning that arises in the construction of convolutional neural networks on surfaces. Due to curvature, the transport of filter kernels on surfaces results in a rotational ambiguity, which prevents a uniform alignment of these kernels on the surface. We propose a network...
journal article 2020
document
Nasikun, A. (author), Brandt, C. (author), Hildebrandt, K.A. (author)
We introduce a construction of subspaces of the spaces of tangential vector, n-vector, and tensor fields on surfaces. The resulting subspaces can be used as the basis of fast approximation algorithms for design and processing problems that involve tangential fields. Important features of our construction are that it is based on a general...
journal article 2020
document
Brandt, C. (author), Scandolo, L. (author), Eisemann, E. (author), Hildebrandt, K.A. (author)
We introduce the Reduced Immersed Method (RIM) for the real-time simulation of two-way coupled incompressible fluids and elastic solids and the interaction of multiple deformables with (self-)collisions. Our framework is based on a novel discretization of the immersed boundary equations of motion, which model fluid and deformables as a single...
journal article 2019
document
Nasikun, A. (author), Brandt, C. (author), Hildebrandt, K.A. (author)
The spectrum and eigenfunctions of the Laplace-Beltrami operator are at the heart of effective schemes for a variety of problems in geometry processing. A burden attached to these spectral methods is that they need to numerically solve a large-scale eigenvalue problem, which results in costly precomputation. In this paper, we address this...
journal article 2018
document
Gienger, Michael (author), Ruiken, Dirk (author), Bates, T. (author), Regaieg, Mohamed (author), Meibner, M. (author), Kober, J. (author), Seiwald, Philipp (author), Hildebrandt, Arne Christoph (author)
This paper presents a system for cooperatively manipulating large objects between a human and a robot. This physical interaction system is designed to handle, transport, or manipulate large objects of different shapes in cooperation with a human. Unique points are the bi-manual physical cooperation, the sequential characteristic of the...
conference paper 2018
document
Brandt, C. (author), Scandolo, L. (author), Eisemann, E. (author), Hildebrandt, K.A. (author)
We introduce a variational approach for modeling n-symmetry vector and direction fields on surfaces that supports interpolation and alignment constraints, placing singularities and local editing, while providing real-time responses. The approach is based on novel biharmonic and m-harmonic energies for n-fields on surface meshes and the...
journal article 2018
document
Lawonn, K.R.H. (author), Trostmann, Erik (author), Preim, Bernhard (author), Hildebrandt, K.A. (author)
We present novel techniques for visualizing, illustrating, analyzing, and generating carvings in surfaces. In particular, we consider the carvings in the plaster of the cloister of the Magdeburg cathedral, which dates to the 13th century. Due to aging and weathering, the carvings have flattened. Historians and restorers are highly interested in...
journal article 2017
document
Vaxman, Amir (author), Campen, Marcel (author), Diamanti, Olga (author), Bommes, David (author), Hildebrandt, K.A. (author), Ben-Chen, Mirela (author), Panozzo, Daniele (author)
Direction fields and vector fields play an increasingly important role in computer graphics and geometry processing. The synthesis of directional fields on surfaces, or other spatial domains, is a fundamental step in numerous applications, such as mesh generation, deformation, texture mapping, and many more. The wide range of applications...
conference paper 2017
document
Brandt, C. (author), Hildebrandt, K.A. (author)
The natural vibration modes of deformable objects are a fundamental physical phenomenon. In this paper, we introduce <em>compressed vibration modes</em>, which, in contrast to the natural vibration modes, are localized (“sparse”) deformations. The localization is achieved by augmenting the objective which has the vibration modes as minima by a...
journal article 2017
Searched for: +
(1 - 20 of 22)

Pages