2022

Yoann Coudert-Osmont, Elmar Eisemann, and Ricardo Marroquim
In Proceedings of GCH, 2022
Graphics style of Resto Quest
Weilun Chen, Conchita Martin Hoogerwaard, Jeffrey Lim, Tim Polderdijk, Tom Saveur, et al.
In Proceedings of ISAGA, 2022
Spatially variable weight manipulation by inputting different heatmaps. (Input image: Knots [4])
Thijmen S. L. Langendam and Rafael Bidarra
In Proceedings of FDG, 2022
Nils Wandel, Michael Weinmann, Michael Neidlin, and Reinhard Klein
In Proceedings of AAAI, 2022
Peiteng Shi, Markus Billeter, and Elmar Eisemann
ACM Comput Graph Interact Tech, 2022
Baran Usta, Sylvia Pont, and Elmar Eisemann
Computer Graphics Forum, 2022
Ahmad Nasikun and Klaus Hildebrandt
ACM Transactions on Graphics, 2022
Nicolas F. Chaves-de-Plaza, Prerak P. Mody, Klaus Hildebrandt, Marius Staring, Eleftheria Astreinidou, et al.
In Proceedings of Human Factors and Ergonomics Society Europe Chapter Annual Conference, 2022
Ruben Band, Maarten Lips, Julivius Prawira, Jurgen van Schagen, Simon Tulling, et al.
In Proceedings of CoG, 2022
HPV16+ tissue image
Ziena Abdulrahman, Saskia J Santegoets, Gregor Sturm, Pornpimol Charoentong, Marieke E Ijsselsteijn, et al.
J Immunother Cancer, 2022
Henriette Lipschütz, Ulrich Reitebuch, Martin Skrodzki, and Konrad Polthier
Journal of Mathematics and the Arts, 2022
Our method leverages a pair of spatial hierarchies over the embedding (center right) and a field (far right) over the embedding space to accelerate t-SNE minimization. Progression of minimizations (left) using these hierarchies is shown for a 60K point MNIST dataset (top) and a 1.2M point ImageNet dataset (bottom). The hierarchies are visualized for the last iteration of minimization.
Mark van de Ruit, Markus Billeter, and Elmar Eisemann
IEEE Transactions on Visualization and Computer Graphics, 2022
Mijael Ricardo Bueno Perez and Rafael Bidarra
In Proceedings of FDG, 2022

2021

Virtual elements represented by markers
Marie Kegeleers and Rafael Bidarra
In Proceedings of GRAPP, 2021
A proposed interactive workflow for our mixed-initiative approach. We arbitrarily chose the steps shown in this illustration.
Mijael Bueno, Elmar Eisemann, and Rafael Bidarra
In Proceedings of ICIDS, 2021
Glyph developed to indicate spatial co-location of cells
Antonios Somarakis, Marieke E Ijsselsteijn, Boyd Kenkhuis, Vincent van Unen, Sietse J Luk, et al.
In Proceedings of EuroVis (Dirk Bartz Prize), 2021
A visual comparison between vertex position, vertex normal, and face normal filtering methods
Sunil Kumar Yadav, Martin Skrodzki, Eric Zimmermann, and Konrad Polthier
In Proceedings of Forum "Math-for-Industry" 2018, 2021
Left: Horizon-based ambient occlusion (HBAO) uses only a depth map and underestimates occlusion due to hidden geometry. Right: Our stochastic-depth HBAO captures occluded geometry stochastically (2ms in full HD).
Jop Vermeer, Leonardo Scandolo, and Elmar Eisemann
ACM Comput Graph Interact Tech, 2021
A Large-Scale Evaluation of Shape-Aware Neighborhood Weights and Neighborhood Sizes
Martin Skrodzki and Eric Zimmermann
Computer Aided Design, 2021
Our method decreases error for wavelength-dependent scattering in the presence of non-uniformly distributed emission, reflectance, and transmission throughout the scene
Mark van de Ruit and Elmar Eisemann
Computer Graphics Forum, 2021