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ORCIDElmar Eisemann
Person information
- affiliation: Delft University of Technology, INSY, Delft, The Netherlands
- affiliation (former): Telecom ParisTech, Palaiseau, France
- affiliation (former): Saarland University, Saarbrücken, Germany
- affiliation (former): Max Planck Institute for Informatics, Saarbrücken, Germany
- affiliation (former, PhD 2008): Joseph Fourier University, Grenoble, France
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2020 – today
- 2024
[j105]Rafael Romeiro, Elmar Eisemann, Ricardo Marroquim
:
Retinal pre-filtering for light field displays. Comput. Graph. 123: 104033 (2024)- [j104]Xuejiao Luo, Leonardo Scandolo, Adrien Bousseau, Elmar Eisemann:
Single-Image SVBRDF Estimation with Learned Gradient Descent. Comput. Graph. Forum 43(2): i-iii (2024) - [j103]Amal Dev Parakkat, Stefan Ohrhallinger, Elmar Eisemann, Pooran Memari:
BallMerge: High-quality Fast Surface Reconstruction via Voronoi Balls. Comput. Graph. Forum 43(2): i-iii (2024) - [j102]Nicolas F. Chaves-de-Plaza, Mathijs Molenaar, Prerak Mody, Marius Staring, René van Egmond, Elmar Eisemann, Anna Vilanova, Klaus Hildebrandt:
Depth for Multi-Modal Contour Ensembles. Comput. Graph. Forum 43(3) (2024) - [j101]Alexander Vieth, Thomas Kroes, Julian Thijssen, Baldur van Lew, Jeroen Eggermont, Soumyadeep Basu, Elmar Eisemann, Anna Vilanova, Thomas Höllt, Boudewijn P. F. Lelieveldt:
ManiVault: A Flexible and Extensible Visual Analytics Framework for High-Dimensional Data. IEEE Trans. Vis. Comput. Graph. 30(1): 175-185 (2024) - [j100]Martin Skrodzki, Hunter van Geffen, Nicolas F. Chaves-de-Plaza, Thomas Höllt, Elmar Eisemann, Klaus Hildebrandt:
Accelerating Hyperbolic t-SNE. IEEE Trans. Vis. Comput. Graph. 30(7): 4403-4415 (2024) - [c76]Benno Buschmann, Andreea Dogaru, Elmar Eisemann, Michael Weinmann, Bernhard Egger:
RANRAC: Robust Neural Scene Representations via Random Ray Consensus. ECCV (76) 2024: 126-143 - [c75]Guowei Lu, Jerry Jinfeng Guo, Petr Kellnhofer, Elmar Eisemann:
Sheared Polygonal Texture Filtering. Graphics Interface 2024: 19:1-19:7 - [i18]Martin Skrodzki, Hunter van Geffen, Nicolas F. Chaves-de-Plaza, Thomas Höllt, Elmar Eisemann, Klaus Hildebrandt:
Accelerating hyperbolic t-SNE. CoRR abs/2401.13708 (2024) - [i17]Lukas Uzolas, Elmar Eisemann, Petr Kellnhofer:
MotionDreamer: Zero-Shot 3D Mesh Animation from Video Diffusion Models. CoRR abs/2405.20155 (2024) - [i16]Ruben Wiersma, Julien Philip, Milos Hasan, Krishna Mullia, Fujun Luan, Elmar Eisemann, Valentin Deschaintre:
Fast and Uncertainty-Aware SVBRDF Recovery from Multi-View Capture using Frequency Domain Analysis. CoRR abs/2406.17774 (2024) - 2023
- [j99]Marcos Pieras, Ricardo Marroquim, Douwe Broekens, Elmar Eisemann, Anna Vilanova:
ComVis-Sail: Comparative Sailing Performance Visualization for Coaching. Comput. Graph. Forum 42(1): 86-100 (2023) - [j98]Marko Matusovic, Amal Dev Parakkat, Elmar Eisemann:
Interactive Depixelization of Pixel Art through Spring Simulation. Comput. Graph. Forum 42(2): 51-60 (2023) - [j97]Mathijs Molenaar, Elmar Eisemann:
Editing Compressed High-resolution Voxel Scenes with Attributes. Comput. Graph. Forum 42(2): 235-243 (2023) - [c74]Terje Väljataga, Kai Pata, Andrea Annus, Michelle Andrade Calisto, Águeda Gómez Cambronero, Elmar Eisemann, Athina Kasini, Ricardo Marroquim, Inmaculada Remolar, László Szécsi, Amir Zaidi, Rubén García-Vidal:
Exploring Value and Ethical Dimensions of Disruptive Technologies for Learning and Teaching. "MIS4TEL (Workshops) 2023: 107-116 - [c73]Lukas Uzolas, Elmar Eisemann, Petr Kellnhofer:
Template-free Articulated Neural Point Clouds for Reposable View Synthesis. NeurIPS 2023 - [c72]Ruben Wiersma, Ahmad Nasikun, Elmar Eisemann, Klaus Hildebrandt:
A Fast Geometric Multigrid Method for Curved Surfaces. SIGGRAPH (Conference Paper Track) 2023: 1:1-1:11 - [c71]Mark van de Ruit, Elmar Eisemann:
Metameric: Spectral Uplifting via Controllable Color Constraints. SIGGRAPH (Conference Paper Track) 2023: 42:1-42:10 - [c70]Alexander Vieth, Boudewijn P. F. Lelieveldt, Elmar Eisemann, Anna Vilanova, Thomas Höllt:
Interactions for Seamlessly Coupled Exploration of High-Dimensional Images and Hierarchical Embeddings. VMV 2023: 63-70 - [i15]Lukas Uzolas, Elmar Eisemann, Petr Kellnhofer:
Template-free Articulated Neural Point Clouds for Reposable View Synthesis. CoRR abs/2305.19065 (2023) - [i14]Ruben Wiersma, Ahmad Nasikun, Elmar Eisemann, Klaus Hildebrandt:
A Fast Geometric Multigrid Method for Curved Surfaces. CoRR abs/2307.04886 (2023) - [i13]Alexander Vieth, Thomas Kroes, Julian Thijssen, Baldur van Lew, Jeroen Eggermont, Soumyadeep Basu, Elmar Eisemann, Anna Vilanova, Thomas Höllt, Boudewijn P. F. Lelieveldt:
ManiVault: A Flexible and Extensible Visual Analytics Framework for High-Dimensional Data. CoRR abs/2308.01751 (2023) - [i12]Martin Skrodzki, Nicolas F. Chaves-de-Plaza, Klaus Hildebrandt, Thomas Höllt, Elmar Eisemann:
Tuning the perplexity for and computing sampling-based t-SNE embeddings. CoRR abs/2308.15513 (2023) - [i11]Benno Buschmann, Andreea Dogaru, Elmar Eisemann, Michael Weinmann, Bernhard Egger:
RANRAC: Robust Neural Scene Representations via Random Ray Consensus. CoRR abs/2312.09780 (2023) - 2022
- [j96]Àlex Solé Gómez, Leonardo Scandolo, Elmar Eisemann:
A learning approach for river debris detection. Int. J. Appl. Earth Obs. Geoinformation 107: 102682 (2022) - [j95]Elmar Eisemann, Fang-Lue Zhang:
Foreword to the special section on Pacific Graphics 2020. Comput. Graph. 107: 158-160 (2022) - [j94]Baran Usta, Sylvia C. Pont, Elmar Eisemann:
Targeting Shape and Material in Lighting Design. Comput. Graph. Forum 41(7): 299-309 (2022) - [j93]Peiteng Shi, Markus Billeter, Elmar Eisemann:
Stereo-consistent screen-space ambient occlusion. Proc. ACM Comput. Graph. Interact. Tech. 5(1): 2:1-2:12 (2022) - [j92]Nejc Macek, Baran Usta, Elmar Eisemann, Ricardo Marroquim:
Real-Time Relighting of Human Faces with a Low-Cost Setup. Proc. ACM Comput. Graph. Interact. Tech. 5(1): 14:1-14:19 (2022) - [j91]Ruben Wiersma, Ahmad Nasikun, Elmar Eisemann, Klaus Hildebrandt:
DeltaConv: anisotropic operators for geometric deep learning on point clouds. ACM Trans. Graph. 41(4): 105:1-105:10 (2022) - [j90]Mark van de Ruit, Markus Billeter, Elmar Eisemann:
An Efficient Dual-Hierarchy t-SNE Minimization. IEEE Trans. Vis. Comput. Graph. 28(1): 614-622 (2022) - [c69]Alexander Vieth, Anna Vilanova, Boudewijn P. F. Lelieveldt, Elmar Eisemann, Thomas Höllt:
Incorporating Texture Information into Dimensionality Reduction for High-Dimensional Images. PacificVis 2022: 11-20 - [c68]Yancong Lin, Ruben Wiersma, Silvia L. Pintea, Klaus Hildebrandt, Elmar Eisemann, Jan C. van Gemert:
Deep vanishing point detection: Geometric priors make dataset variations vanish. CVPR 2022: 6093-6103 - [c67]Yoann Coudert-Osmont, Elmar Eisemann, Ricardo Marroquim:
Semi-Automatic Perspective Lines from Paintings. GCH 2022: 23-32 - [c66]Jules van der Toorn, Ruben Wiersma, Abbie Vandivere, Ricardo Marroquim, Elmar Eisemann:
A New Baseline for Feature Description on Multimodal Imaging of Paintings. GCH 2022: 45-53 - [c65]Andra Popa, Francesca Gabrieli, Thomas Kroes, Anna Krekeler, Matthias Alfeld, Boudewijn P. F. Lelieveldt, Elmar Eisemann, Thomas Höllt:
Visual Analysis of RIS Data for Endmember Selection. GCH 2022: 103-106 - [i10]Alexander Vieth, Anna Vilanova, Boudewijn P. F. Lelieveldt, Elmar Eisemann, Thomas Höllt:
Incorporating Texture Information into Dimensionality Reduction for High-Dimensional Images. CoRR abs/2202.09179 (2022) - [i9]Yancong Lin, Ruben Wiersma, Silvia L. Pintea, Klaus Hildebrandt, Elmar Eisemann, Jan C. van Gemert:
Deep vanishing point detection: Geometric priors make dataset variations vanish. CoRR abs/2203.08586 (2022) - [i8]Cehao Yu, Maarten W. A. Wijntjes, Elmar Eisemann, Sylvia C. Pont:
Quantifying spatial, temporal, angular and spectral structure of effective daylight in perceptually meaningful ways. CoRR abs/2211.14859 (2022) - 2021
- [j89]Xuejiao Luo, Leonardo Scandolo, Elmar Eisemann:
Texture Browser: Feature-based Texture Exploration. Comput. Graph. Forum 40(3): 99-109 (2021) - [j88]Jerry Jinfeng Guo, Elmar Eisemann:
Geometric Sample Reweighting for Monte Carlo Integration. Comput. Graph. Forum 40(7): 109-119 (2021) - [j87]Mark van de Ruit, Elmar Eisemann:
A multi-pass method for accelerated spectral sampling. Comput. Graph. Forum 40(7): 141-148 (2021) - [j86]Jop Vermeer, Leonardo Scandolo, Elmar Eisemann:
Stochastic-Depth Ambient Occlusion. Proc. ACM Comput. Graph. Interact. Tech. 4(1): 3:1-3:15 (2021) - [j85]Annemieke Verbraeck, Elmar Eisemann:
Interactive Black-Hole Visualization. IEEE Trans. Vis. Comput. Graph. 27(2): 796-805 (2021) - [c64]Fabian Friederichs, Martin Eisemann, Elmar Eisemann:
Layered Weighted Blended Order-Independent Transparency. Graphics Interface 2021: 196-202 - [c63]Mijael R. Bueno Pérez, Elmar Eisemann, Rafael Bidarra:
A Synset-Based Recommender Method for Mixed-Initiative Narrative World Creation. ICIDS 2021: 13-28 - [i7]Ruben Wiersma, Ahmad Nasikun, Elmar Eisemann, Klaus Hildebrandt:
DeltaConv: Anisotropic Point Cloud Learning with Exterior Calculus. CoRR abs/2111.08799 (2021) - 2020
- [j84]Peiteng Shi, Markus Billeter, Elmar Eisemann:
SalientGaze: Saliency-based gaze correction in virtual reality. Comput. Graph. 91: 83-94 (2020) - [j83]Victor Careil, Markus Billeter, Elmar Eisemann:
Interactively Modifying Compressed Sparse Voxel Representations. Comput. Graph. Forum 39(2): 111-119 (2020) - [j82]Niels H. L. C. de Hoon, Andrei C. Jalba, E. S. Farag, Pim van Ooij, Aart J. Nederveen, Elmar Eisemann, Anna Vilanova:
Data Assimilation for Full 4D PC-MRI Measurements: Physics-Based Denoising and Interpolation. Comput. Graph. Forum 39(6): 496-512 (2020) - [j81]Jerry Jinfeng Guo, Martin Eisemann, Elmar Eisemann:
Next Event Estimation++: Visibility Mapping for Efficient Light Transport Simulation. Comput. Graph. Forum 39(7): 205-217 (2020) - [j80]Remi van der Laan, Leonardo Scandolo, Elmar Eisemann:
Lossy Geometry Compression for High Resolution Voxel Scenes. Proc. ACM Comput. Graph. Interact. Tech. 3(2): 2:1-2:13 (2020) - [j79]Ruben Wiersma, Elmar Eisemann, Klaus Hildebrandt:
CNNs on surfaces using rotation-equivariant features. ACM Trans. Graph. 39(4): 92 (2020) - [j78]Andreas Walch, Michael Schwärzler, Christian Luksch, Elmar Eisemann, Theresia Gschwandtner:
LightGuider: Guiding Interactive Lighting Design using Suggestions, Provenance, and Quality Visualization. IEEE Trans. Vis. Comput. Graph. 26(1): 569-578 (2020) - [j77]Nicola Pezzotti, Julian Thijssen, Alexander Mordvintsev, Thomas Höllt, Baldur van Lew, Boudewijn P. F. Lelieveldt, Elmar Eisemann, Anna Vilanova:
GPGPU Linear Complexity t-SNE Optimization. IEEE Trans. Vis. Comput. Graph. 26(1): 1172-1181 (2020) - [j76]Xuejiao Luo, Nestor Z. Salamon, Elmar Eisemann:
Controllable Motion-Blur Effects in Still Images. IEEE Trans. Vis. Comput. Graph. 26(7): 2362-2372 (2020) - [c62]Mathijs Molenaar, Elmar Eisemann:
Conservative Ray Batching using Geometry Proxies. Eurographics (Short Papers) 2020: 13-16 - [i6]Ruben Wiersma, Elmar Eisemann, Klaus Hildebrandt:
CNNs on Surfaces using Rotation-Equivariant Features. CoRR abs/2006.01570 (2020)
2010 – 2019
- 2019
- [j75]Gerard Simons, Sebastian Herholz, Victor Petitjean, Tobias Rapp, Marco Ament, Hendrik P. A. Lensch, Carsten Dachsbacher, Martin Eisemann, Elmar Eisemann:
Applying Visual Analytics to Physically Based Rendering. Comput. Graph. Forum 38(1): 197-208 (2019) - [j74]Timothy R. Kol, Pablo Bauszat, Sungkil Lee, Elmar Eisemann:
MegaViews: Scalable Many-View Rendering With Concurrent Scene-View Hierarchy Traversal. Comput. Graph. Forum 38(1): 235-247 (2019) - [j73]Leonardo Scandolo, Pablo Bauszat, Elmar Eisemann:
Gradient-Guided Local Disparity Editing. Comput. Graph. Forum 38(1): 394-404 (2019) - [j72]Binh-Son Hua, Adrien Gruson, Victor Petitjean, Matthias Zwicker, Derek Nowrouzezahrai, Elmar Eisemann, Toshiya Hachisuka:
A Survey on Gradient-Domain Rendering. Comput. Graph. Forum 38(2): 455-472 (2019) - [j71]Nestor Z. Salamon, Markus Billeter, Elmar Eisemann:
ShutterApp: Spatio-temporal Exposure Control for Videos. Comput. Graph. Forum 38(7): 675-683 (2019) - [j70]Christopher Brandt, Leonardo Scandolo, Elmar Eisemann, Klaus Hildebrandt:
The reduced immersed method for real-time fluid-elastic solid interaction and contact simulation. ACM Trans. Graph. 38(6): 191:1-191:16 (2019) - [c61]Baran Usta, Leonardo Scandolo, Markus Billeter, Ricardo Marroquim, Elmar Eisemann:
A Practical and Efficient Approach for Correct Z-Pass Stencil Shadow Volumes. High Performance Graphics (Short Papers) 2019: 45-49 - [c60]Thomas Höllt, Nicola Pezzotti, Vincent van Unen, Na Li, Frits Koning, Elmar Eisemann, Boudewijn P. F. Lelieveldt, Anna Vilanova:
Cytosplore: Interactive Visual Single-Cell Profiling of the Immune System. Eurographics (Dirk Bartz Prize) 2019: 1-4 - [c59]Noeska N. Smit, Kai Lawonn, Annelot Kraima, Marco C. DeRuiter, Stefan Bruckner, Elmar Eisemann, Anna Vilanova:
Model-based Visualization for Medical Education and Training. Eurographics (Dirk Bartz Prize) 2019: 5-8 - [c58]Niels H. L. C. de Hoon, Kai Lawonn, Andrei C. Jalba, Elmar Eisemann, Anna Vilanova:
InkVis: A High-Particle-Count Approach for Visualization of Phase-Contrast Magnetic Resonance Imaging Data. VCBM 2019: 177-188 - [i5]Andreas Walch, Michael Schwärzler, Christian Luksch, Elmar Eisemann, Theresia Gschwandtner:
LightGuider: Guiding Interactive Lighting Design using Suggestions, Provenance, and Quality Visualization. CoRR abs/1907.08553 (2019) - [i4]Tom J. Viering, Ziqi Wang, Marco Loog, Elmar Eisemann:
How to Manipulate CNNs to Make Them Lie: the GradCAM Case. CoRR abs/1907.10901 (2019) - [i3]Jerry Jinfeng Guo, Elmar Eisemann:
Geometric Sample Reweighting for Monte Carlo Integration. CoRR abs/1908.01809 (2019) - 2018
- [j69]Elmar Eisemann, Paul G. Kry:
Foreword to the Special Section on Graphics Interface 2017. Comput. Graph. 71: 4- (2018) - [j68]Jingtang Liao, Shuheng Shen, Elmar Eisemann:
Depth annotations: Designing depth of a single image for depth-based effects. Comput. Graph. 71: 180-188 (2018) - [j67]Jean-Marc Thiery, Elmar Eisemann:
ARAPLBS: Robust and Efficient Elasticity-Based Optimization of Weights and Skeleton Joints for Linear Blend Skinning with Parametrized Bones. Comput. Graph. Forum 37(1): 32-44 (2018) - [j66]Nicola Pezzotti, Jean-Daniel Fekete, Thomas Höllt, Boudewijn P. F. Lelieveldt, Elmar Eisemann, Anna Vilanova:
Multiscale Visualization and Exploration of Large Bipartite Graphs. Comput. Graph. Forum 37(3): 549-560 (2018) - [j65]Victor Petitjean, Pablo Bauszat, Elmar Eisemann:
Spectral Gradient Sampling for Path Tracing. Comput. Graph. Forum 37(4): 45-53 (2018) - [j64]Leonardo Scandolo, Sungkil Lee, Elmar Eisemann:
Quad-Based Fourier Transform for Efficient Diffraction Synthesis. Comput. Graph. Forum 37(4): 167-176 (2018) - [j63]Ricardo Lopes, Elmar Eisemann, Rafael Bidarra:
Authoring Adaptive Game World Generation. IEEE Trans. Games 10(1): 42-55 (2018) - [j62]Christopher Brandt, Leonardo Scandolo, Elmar Eisemann, Klaus Hildebrandt:
Modeling n-Symmetry Vector Fields using Higher-Order Energies. ACM Trans. Graph. 37(2): 18 (2018) - [j61]Christopher Brandt, Elmar Eisemann, Klaus Hildebrandt:
Hyper-reduced projective dynamics. ACM Trans. Graph. 37(4): 80 (2018) - [j60]Sungkil Lee, Younguk Kim, Elmar Eisemann:
Iterative Depth Warping. ACM Trans. Graph. 37(5): 177 (2018) - [j59]Nicola Pezzotti, Thomas Höllt, Jan C. van Gemert, Boudewijn P. F. Lelieveldt, Elmar Eisemann, Anna Vilanova:
DeepEyes: Progressive Visual Analytics for Designing Deep Neural Networks. IEEE Trans. Vis. Comput. Graph. 24(1): 98-108 (2018) - [c57]Ulf Assarsson, Markus Billeter, Dan Dolonius, Elmar Eisemann, Alberto Jaspe, Leonardo Scandolo, Erik Sintorn:
Voxel DAGs and Multiresolution Hierarchies: From Large-Scale Scenes to Pre-computed Shadows. Eurographics (Tutorials) 2018: 9-11 - [c56]Leonardo Torok, Elmar Eisemann, Daniela Trevisan, Anselmo Antunes Montenegro, Esteban Clua:
PadCorrect: Correcting User Input on a Virtual Gamepad. Graphics Interface 2018: 58-65 - [c55]Xuejiao Luo, Nestor Z. Salamon, Elmar Eisemann:
Adding Motion Blur to Still Images. Graphics Interface 2018: 108-114 - [c54]Jerry Jinfeng Guo, Pablo Bauszat, Jacco Bikker, Elmar Eisemann:
Primary Sample Space Path Guiding. EGSR (EI&I) 2018: 73-82 - [c53]Tim Buckers, Boning Gong, Elmar Eisemann, Stephan G. Lukosch:
VRabl: stimulating physical activities through a multiplayer augmented reality sports game. Superhuman Sports Design Challenge 2018: 1:1-1:5 - [i2]Nicola Pezzotti, Alexander Mordvintsev, Thomas Höllt, Boudewijn P. F. Lelieveldt, Elmar Eisemann, Anna Vilanova:
Linear tSNE optimization for the Web. CoRR abs/1805.10817 (2018) - 2017
- [j58]Nestor Z. Salamon, Marcel Lancelle, Elmar Eisemann:
Computational Light Painting Using a Virtual Exposure. Comput. Graph. Forum 36(2): 1-8 (2017) - [j57]Martin Weier, Michael Stengel, Thorsten Roth, Piotr Didyk, Elmar Eisemann, Martin Eisemann, Steve Grogorick, André Hinkenjann, Ernst Kruijff, Marcus A. Magnor, Karol Myszkowski, Philipp Slusallek:
Perception-driven Accelerated Rendering. Comput. Graph. Forum 36(2): 611-643 (2017) - [j56]Changgong Zhang, Matthan W. A. Caan, Thomas Höllt, Elmar Eisemann, Anna Vilanova:
Overview + Detail Visualization for Ensembles of Diffusion Tensors. Comput. Graph. Forum 36(3): 121-132 (2017) - [j55]Christopher Brandt, Leonardo Scandolo, Elmar Eisemann, Klaus Hildebrandt:
Spectral Processing of Tangential Vector Fields. Comput. Graph. Forum 36(6): 338-353 (2017) - [j54]Jingtang Liao, Martin Eisemann, Elmar Eisemann:
Split-Depth Image Generation and Optimization. Comput. Graph. Forum 36(7): 175-182 (2017) - [j53]Rodrigo G. Baravalle, Leonardo Scandolo, Claudio Delrieux, Cristian García Bauza, Elmar Eisemann:
Realistic modeling of porous materials. Comput. Animat. Virtual Worlds 28(2) (2017) - [j52]Jingtang Liao, Bert Buchholz, Jean-Marc Thiery, Pablo Bauszat, Elmar Eisemann:
Indoor Scene Reconstruction Using Near-Light Photometric Stereo. IEEE Trans. Image Process. 26(3): 1089-1101 (2017) - [j51]Pablo Bauszat, Victor Petitjean, Elmar Eisemann:
Gradient-domain path reusing. ACM Trans. Graph. 36(6): 229:1-229:9 (2017) - [j50]Noeska N. Smit, Kai Lawonn, Annelot Kraima, Marco C. DeRuiter, Hessam Sokooti, Stefan Bruckner, Elmar Eisemann, Anna Vilanova:
PelVis: Atlas-based Surgical Planning for Oncological Pelvic Surgery. IEEE Trans. Vis. Comput. Graph. 23(1): 741-750 (2017) - [j49]Nicola Pezzotti, Boudewijn P. F. Lelieveldt, Laurens van der Maaten, Thomas Höllt, Elmar Eisemann, Anna Vilanova:
Approximated and User Steerable tSNE for Progressive Visual Analytics. IEEE Trans. Vis. Comput. Graph. 23(7): 1739-1752 (2017) - [j48]Timothy R. Kol, Oliver Klehm, Hans-Peter Seidel, Elmar Eisemann:
Expressive Single Scattering for Light Shaft Stylization. IEEE Trans. Vis. Comput. Graph. 23(7): 1753-1766 (2017) - [j47]Philipp von Radziewsky, Thomas Kroes, Martin Eisemann, Elmar Eisemann:
Efficient Stochastic Rendering of Static and Animated Volumes Using Visibility Sweeps. IEEE Trans. Vis. Comput. Graph. 23(9): 2069-2081 (2017) - [c52]Steve Grogorick, Michael Stengel, Elmar Eisemann, Marcus A. Magnor:
Subtle gaze guidance for immersive environments. SAP 2017: 4:1-4:7 - [c51]Niels H. L. C. de Hoon, Elmar Eisemann, Anna Vilanova:
From a User Study to a Valid Claim: How to Test Your Hypothesis and Avoid Common Pitfalls. EuroRV³@EuroVis 2017: 25-28 - [c50]Jingtang Liao, Shuheng Shen, Elmar Eisemann:
Depth Map Design and Depth-based Effects With a Single Image. Graphics Interface 2017: 57-64 - [c49]Mohamed Radwan, Stefan Ohrhallinger, Elmar Eisemann, Michael Wimmer:
Cut and Paint: Occlusion-Aware Subset Selection for Surface Processing. Graphics Interface 2017: 82-89 - [c48]Changgong Zhang, Thomas Höllt, Matthan W. A. Caan, Elmar Eisemann, Anna Vilanova:
Comparative Visualization for Diffusion Tensor Imaging Group Study at Multiple Levels of Detail. VCBM 2017: 53-62 - [e3]Elmar Eisemann, Scott Bateman:
Proceedings of the 43rd Graphics Interface Conference 2017, Edmonton, Alberta, Canada, May 16-19, 2017. Canadian Human-Computer Communications Society / ACM 2017, ISBN 978-0-9947868-2-1 [contents] - 2016
- [j46]Philipp von Radziewsky, Elmar Eisemann, Hans-Peter Seidel, Klaus Hildebrandt:
Optimized subspaces for deformation-based modeling and shape interpolation. Comput. Graph. 58: 128-138 (2016) - [j45]Leonardo Scandolo, Pablo Bauszat, Elmar Eisemann:
Compressed Multiresolution Hierarchies for High-Quality Precomputed Shadows. Comput. Graph. Forum 35(2): 331-340 (2016) - [j44]Bas Dado, Timothy R. Kol, Pablo Bauszat, Jean-Marc Thiery, Elmar Eisemann:
Geometry and Attribute Compression for Voxel Scenes. Comput. Graph. Forum 35(2): 397-407 (2016) - [j43]Nicola Pezzotti, Thomas Höllt, Boudewijn P. F. Lelieveldt, Elmar Eisemann, Anna Vilanova:
Hierarchical Stochastic Neighbor Embedding. Comput. Graph. Forum 35(3): 21-30 (2016) - [j42]Thomas Höllt, Nicola Pezzotti, Vincent van Unen, Frits Koning, Elmar Eisemann, Boudewijn P. F. Lelieveldt, Anna Vilanova:
Cytosplore: Interactive Immune Cell Phenotyping for Large Single-Cell Datasets. Comput. Graph. Forum 35(3): 171-180 (2016) - [j41]Hyuntae Joo, Soonhyeon Kwon, Sangmin Lee, Elmar Eisemann, Sungkil Lee:
Efficient Ray Tracing Through Aspheric Lenses and Imperfect Bokeh Synthesis. Comput. Graph. Forum 35(