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ORCIDTimo Ropinski
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- affiliation: University of Ulm, Germany
- affiliation: University of Münster, Germany
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2020 – today
- 2024
[j64]Daniel Wolf
, Tristan Payer, Catharina Silvia Lisson, Christoph Gerhard Lisson, Meinrad Beer, Michael Götz, Timo Ropinski:
Less is More: Selective reduction of CT data for self-supervised pre-training of deep learning models with contrastive learning improves downstream classification performance. Comput. Biol. Medicine 183: 109242 (2024)- [j63]Mark Colley, Sebastian Hartwig, Albin Zeqiri, Timo Ropinski, Enrico Rukzio:
AutoTherm: A Dataset and Benchmark for Thermal Comfort Estimation Indoors and in Vehicles. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8(3): 96:1-96:49 (2024) - [j62]Sergej Geringer, Florian Geiselhart, Alex Bäuerle, Dominik Dec, Olivia G. Odenthal, Guido Reina, Timo Ropinski, Daniel Weiskopf:
mint: Integrating scientific visualizations into virtual reality. J. Vis. 27(6): 1143-1169 (2024) - [j61]Dominik Engel, Sebastian Hartwig, Timo Ropinski:
Monocular Depth Decomposition of Semi-Transparent Volume Renderings. IEEE Trans. Vis. Comput. Graph. 30(7): 3981-3994 (2024) - [c91]Sebastian Koch, Pedro Hermosilla, Narunas Vaskevicius, Mirco Colosi, Timo Ropinski:
Lang3DSG: Language-based contrastive pre-training for 3D Scene Graph prediction. 3DV 2024: 1037-1047 - [c90]Daniel Wolf, Tristan Payer, Catharina Silvia Lisson, Christoph Gerhard Lisson, Meinrad Beer, Michael Götz, Timo Ropinski:
Abstract: Self-supervised Pre-training for Dealing with Small Datasets in Deep Learning for Medical Imaging - Evaluation of Contrastive and Masked Autoencoder Methods. Bildverarbeitung für die Medizin 2024: 157 - [c89]Leon Sick, Dominik Engel, Pedro Hermosilla, Timo Ropinski:
Unsupervised Semantic Segmentation Through Depth-Guided Feature Correlation and Sampling. CVPR 2024: 3637-3646 - [c88]Sebastian Koch, Narunas Vaskevicius, Mirco Colosi, Pedro Hermosilla, Timo Ropinski:
Open3DSG: Open-Vocabulary 3D Scene Graphs from Point Clouds with Queryable Objects and Open-Set Relationships. CVPR 2024: 14183-14193 - [c87]Hannah Kniesel, Leon Sick, Tristan Payer, Tim Bergner, Kavitha Shaga Devan, Clarissa Read, Paul Walther, Timo Ropinski, Pedro Hermosilla:
Weakly Supervised Virus Capsid Detection with Image-Level Annotations in Electron Microscopy Images. ICLR 2024 - [c86]Ngan V. T. Nguyen, Feng Liang, Dominik Engel, Ciril Bohak, Ondrej Strnad, Timo Ropinski, Ivan Viola:
Towards Differentiable Electron Microscopy Simulation: Methods and Applications. PacificVis 2024: 62-71 - [c85]Jana Franceska Funke, Michael Wolf, Christian van Onzenoodt, Katja Rogers, Timo Ropinski, Enrico Rukzio:
A Wall I Enjoy: Motivating Gentle Full-Body Movements Through Touchwall Interaction Compared to Standing and Sitting Smartphone Usage. IMX 2024: 201-218 - [c84]Sebastian Koch, Pedro Hermosilla, Narunas Vaskevicius, Mirco Colosi, Timo Ropinski:
SGRec3D: Self-Supervised 3D Scene Graph Learning via Object-Level Scene Reconstruction. WACV 2024: 3392-3402 - [i45]Sebastian Koch, Narunas Vaskevicius, Mirco Colosi, Pedro Hermosilla, Timo Ropinski:
Open3DSG: Open-Vocabulary 3D Scene Graphs from Point Clouds with Queryable Objects and Open-Set Relationships. CoRR abs/2402.12259 (2024) - [i44]Leon Sick, Dominik Engel, Pedro Hermosilla, Timo Ropinski:
Attention-Guided Masked Autoencoders For Learning Image Representations. CoRR abs/2402.15172 (2024) - [i43]Sebastian Hartwig, Dominik Engel, Leon Sick, Hannah Kniesel, Tristan Payer, Poonam Poonam, Michael Glöckler, Alex Bäuerle, Timo Ropinski:
Evaluating Text-to-Image Synthesis: Survey and Taxonomy of Image Quality Metrics. CoRR abs/2403.11821 (2024) - [i42]Daniel Wolf, Tristan Payer, Catharina Silvia Lisson, Christoph Gerhard Lisson, Meinrad Beer, Michael Götz, Timo Ropinski:
Less is More: Selective Reduction of CT Data for Self-Supervised Pre-Training of Deep Learning Models with Contrastive Learning Improves Downstream Classification Performance. CoRR abs/2410.14524 (2024) - [i41]Leon Sick, Dominik Engel, Sebastian Hartwig, Pedro Hermosilla, Timo Ropinski:
CutS3D: Cutting Semantics in 3D for 2D Unsupervised Instance Segmentation. CoRR abs/2411.16319 (2024) - 2023
- [j60]Patrik Puchert, Timo Ropinski:
A3GC-IP: Attention-oriented adjacency adaptive recurrent graph convolutions for human pose estimation from sparse inertial measurements. Comput. Graph. 117: 96-104 (2023) - [j59]Jaegul Choo, Timo Ropinski, Yifan Hu:
Editorial: Guest Editors' Introduction: Special Section on IEEE PacificVis 2023. IEEE Trans. Vis. Comput. Graph. 29(6): 2847-2848 (2023) - [j58]Ngan V. T. Nguyen, Ciril Bohak, Dominik Engel, Peter Mindek, Ondrej Strnad, Peter Wonka, Sai Li, Timo Ropinski, Ivan Viola:
Finding Nano-Ötzi: Cryo-Electron Tomography Visualization Guided by Learned Segmentation. IEEE Trans. Vis. Comput. Graph. 29(10): 4198-4214 (2023) - [j57]Christian van Onzenoodt, Pere-Pau Vázquez, Timo Ropinski:
Out of the Plane: Flower versus Star Glyphs to Support High-Dimensional Exploration in Two-Dimensional Embeddings. IEEE Trans. Vis. Comput. Graph. 29(12): 5468-5482 (2023) - [j56]Alex Bäuerle, Patrick Albus, Raphael Störk, Tina Seufert, Timo Ropinski:
exploRNN: teaching recurrent neural networks through visual exploration. Vis. Comput. 39(9): 4323-4338 (2023) - [c83]Alex Bäuerle, Christian van Onzenoodt, Daniel Jönsson, Timo Ropinski:
Semantic Hierarchical Exploration of Large Image Datasets. EuroVis (Short Papers) 2023: 103-107 - [c82]Michael Schelling, Pedro Hermosilla, Timo Ropinski:
Weakly-Supervised Optical Flow Estimation for Time-of-Flight. WACV 2023: 2134-2143 - [i40]Patrik Puchert, Poonam Poonam, Christian van Onzenoodt, Timo Ropinski:
LLMMaps - A Visual Metaphor for Stratified Evaluation of Large Language Models. CoRR abs/2304.00457 (2023) - [i39]Sebastian Hartwig, Christian van Onzenoodt, Pedro Hermosilla, Timo Ropinski:
ClusterNet: A Perception-Based Clustering Model for Scattered Data. CoRR abs/2304.14185 (2023) - [i38]Daniel Wolf, Tristan Payer, Catharina Silvia Lisson, Christoph Gerhard Lisson, Meinrad Beer, Timo Ropinski, Michael Götz:
Dealing with Small Datasets for Deep Learning in Medical Imaging: An Evaluation of Self-Supervised Pre-Training on CT Scans Comparing Contrastive and Masked Autoencoder Methods for Convolutional Models. CoRR abs/2308.06534 (2023) - [i37]Dominik Engel, Leon Sick, Timo Ropinski:
Leveraging Self-Supervised Vision Transformers for Neural Transfer Function Design. CoRR abs/2309.01408 (2023) - [i36]Leon Sick, Dominik Engel, Pedro Hermosilla, Timo Ropinski:
Spatially Guiding Unsupervised Semantic Segmentation Through Depth-Informed Feature Distillation and Sampling. CoRR abs/2309.12378 (2023) - [i35]Sebastian Koch, Pedro Hermosilla, Narunas Vaskevicius, Mirco Colosi, Timo Ropinski:
SGRec3D: Self-Supervised 3D Scene Graph Learning via Object-Level Scene Reconstruction. CoRR abs/2309.15702 (2023) - [i34]Sebastian Koch, Pedro Hermosilla, Narunas Vaskevicius, Mirco Colosi, Timo Ropinski:
Lang3DSG: Language-based contrastive pre-training for 3D Scene Graph prediction. CoRR abs/2310.16494 (2023) - 2022
- [j55]Alex Bäuerle, Christian van Onzenoodt, Simon der Kinderen, Jimmy Johansson Westberg, Daniel Jönsson, Timo Ropinski:
Where did my Lines go? Visualizing Missing Data in Parallel Coordinates. Comput. Graph. Forum 41(3): 235-246 (2022) - [j54]Sebastian Hartwig, Michael Schelling, Christian van Onzenoodt, Pere-Pau Vázquez, Pedro Hermosilla, Timo Ropinski:
Learning Human Viewpoint Preferences from Sparsely Annotated Models. Comput. Graph. Forum 41(6): 453-466 (2022) - [j53]Nan Cao, Timo Ropinski, Jian Zhao:
Guest Editors' Introduction: Special Section on IEEE PacificVis 2022. IEEE Trans. Vis. Comput. Graph. 28(6): 2299-2300 (2022) - [c81]Michael Schelling, Pedro Hermosilla, Timo Ropinski:
RADU: Ray-Aligned Depth Update Convolutions for ToF Data Denoising. CVPR 2022: 661-670 - [c80]Hannah Kniesel, Timo Ropinski, Tim Bergner, Kavitha Shaga Devan, Clarissa Read, Paul Walther, Tobias Ritschel, Pedro Hermosilla:
Clean Implicit 3D Structure from Noisy 2D STEM Images. CVPR 2022: 20730-20740 - [c79]Pedro Hermosilla, Michael Schelling, Tobias Ritschel, Timo Ropinski:
Variance-Aware Weight Initialization for Point Convolutional Neural Networks. ECCV (28) 2022: 74-89 - [c78]Adam Celarek, Pedro Hermosilla, Bernhard Kerbl, Timo Ropinski, Michael Wimmer:
Gaussian Mixture Convolution Networks. ICLR 2022 - [i33]Alex Bäuerle, Aybuke Gul Turker, Ken Burke, Osman Aka, Timo Ropinski, Christina Greer, Mani Varadarajan:
Visual Identification of Problematic Bias in Large Label Spaces. CoRR abs/2201.06386 (2022) - [i32]Adam Celarek, Pedro Hermosilla, Bernhard Kerbl, Timo Ropinski, Michael Wimmer:
Gaussian Mixture Convolution Networks. CoRR abs/2202.09153 (2022) - [i31]Hannah Kniesel, Timo Ropinski, Tim Bergner, Kavitha Shaga Devan, Clarissa Read, Paul Walther, Tobias Ritschel, Pedro Hermosilla:
Clean Implicit 3D Structure from Noisy 2D STEM Images. CoRR abs/2203.15434 (2022) - [i30]Ngan V. T. Nguyen, Feng Liang, Dominik Engel, Ciril Bohak, Peter Wonka, Timo Ropinski, Ivan Viola:
Differentiable Electron Microscopy Simulation: Methods and Applications for Visualization. CoRR abs/2205.04464 (2022) - [i29]Pedro Hermosilla, Timo Ropinski:
Contrastive Representation Learning for 3D Protein Structures. CoRR abs/2205.15675 (2022) - [i28]Alex Bäuerle, Daniel Jönsson, Timo Ropinski:
Neural Activation Patterns (NAPs): Visual Explainability of Learned Concepts. CoRR abs/2206.10611 (2022) - [i27]Dominik Engel, Sebastian Hartwig, Timo Ropinski:
Monocular Depth Estimation for Semi-Transparent Volume Renderings. CoRR abs/2206.13282 (2022) - [i26]Michael Schelling, Pedro Hermosilla, Timo Ropinski:
Weakly-Supervised Optical Flow Estimation for Time-of-Flight. CoRR abs/2210.05298 (2022) - [i25]Mark Colley, Sebastian Hartwig, Albin Zeqiri, Timo Ropinski, Enrico Rukzio:
AutoTherm: A Dataset and Ablation Study for Thermal Comfort Prediction in Vehicles. CoRR abs/2211.08257 (2022) - 2021
- [j52]André Müller, Ludwig Lausser, Adalbert F. X. Wilhelm, Timo Ropinski, Matthias Platzer, Heiko Neumann, Hans A. Kestler:
A perceptually optimised bivariate visualisation scheme for high-dimensional fold-change data. Adv. Data Anal. Classif. 15(2): 463-480 (2021) - [j51]Michael Schelling, Pedro Hermosilla, Pere-Pau Vázquez, Timo Ropinski:
Enabling Viewpoint Learning through Dynamic Label Generation. Comput. Graph. Forum 40(2): 413-423 (2021) - [j50]Christian van Onzenoodt, Gurprit Singh, Timo Ropinski, Tobias Ritschel:
Blue Noise Plots. Comput. Graph. Forum 40(2): 425-433 (2021) - [j49]Patrik Puchert, Pedro Hermosilla, Tobias Ritschel, Timo Ropinski:
Data-driven deep density estimation. Neural Comput. Appl. 33(23): 16773-16807 (2021) - [j48]Dominik Engel, Timo Ropinski:
Deep Volumetric Ambient Occlusion. IEEE Trans. Vis. Comput. Graph. 27(2): 1268-1278 (2021) - [j47]Alex Bäuerle, Christian van Onzenoodt, Timo Ropinski:
Net2Vis - A Visual Grammar for Automatically Generating Publication-Tailored CNN Architecture Visualizations. IEEE Trans. Vis. Comput. Graph. 27(6): 2980-2991 (2021) - [j46]Julian Kreiser, Pedro Hermosilla, Timo Ropinski:
Void Space Surfaces to Convey Depth in Vessel Visualizations. IEEE Trans. Vis. Comput. Graph. 27(10): 3913-3925 (2021) - [c77]Pedro Hermosilla, Marco Schäfer, Matej Lang, Gloria Fackelmann, Pere-Pau Vázquez, Barbora Kozlíková, Michael Krone, Tobias Ritschel, Timo Ropinski:
Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures. ICLR 2021 - [c76]Michael Stegmaier, Dominik Engel, Jannik Olbrich, Timo Ropinski, Matthias Tichy:
Property-Based Testing for Visualization Development. VisGap@EuroVis 2021: 9-17 - [i24]Christian van Onzenoodt, Gurprit Singh, Timo Ropinski, Tobias Ritschel:
Blue Noise Plots. CoRR abs/2102.04072 (2021) - [i23]Patrik Puchert, Pedro Hermosilla, Tobias Ritschel, Timo Ropinski:
Data-driven deep density estimation. CoRR abs/2107.11085 (2021) - [i22]Patrik Puchert, Timo Ropinski:
Human Pose Estimation from Sparse Inertial Measurements through Recurrent Graph Convolution. CoRR abs/2107.11214 (2021) - [i21]Michael Schelling, Pedro Hermosilla, Timo Ropinski:
RADU: Ray-Aligned Depth Update Convolutions for ToF Data Denoising. CoRR abs/2111.15513 (2021) - [i20]Pedro Hermosilla, Michael Schelling, Tobias Ritschel, Timo Ropinski:
Variance-Aware Weight Initialization for Point Convolutional Neural Networks. CoRR abs/2112.03777 (2021) - 2020
- [j45]Guido Reina, Hank Childs, Kresimir Matkovic, Katja Bühler, Manuela Waldner, David Pugmire, Barbora Kozlíková, Timo Ropinski, Patric Ljung, Takayuki Itoh, M. Eduard Gröller, Michael Krone:
The moving target of visualization software for an increasingly complex world. Comput. Graph. 87: 12-29 (2020) - [j44]Christian van Onzenoodt, Anke Huckauf, Timo Ropinski:
On the perceptual influence of shape overlap on data-comparison using scatterplots . Comput. Graph. 90: 169-181 (2020) - [j43]Alex Bäuerle, Heiko Neumann, Timo Ropinski:
Classifier-Guided Visual Correction of Noisy Labels for Image Classification Tasks. Comput. Graph. Forum 39(3): 195-205 (2020) - [j42]Sebastian Maisch, Timo Ropinski:
Interactive Subsurface Scattering for Materials With High Scattering Distances. Comput. Graph. Forum 39(6): 465-479 (2020) - [j41]Daniel Jönsson, Peter Steneteg, Erik Sundén, Rickard Englund, Sathish Kottravel, Martin Falk, Anders Ynnerman, Ingrid Hotz, Timo Ropinski:
Inviwo - A Visualization System with Usage Abstraction Levels. IEEE Trans. Vis. Comput. Graph. 26(11): 3241-3254 (2020) - [c75]Gabriel Eilertsen, Daniel Jönsson, Timo Ropinski, Jonas Unger, Anders Ynnerman:
Classifying the Classifier: Dissecting the Weight Space of Neural Networks. ECAI 2020: 1119-1126 - [c74]Hannah Kniesel, Timo Ropinski, Pedro Hermosilla:
Real-Time Visualization of 3D Amyloid-Beta Fibrils from 2D Cryo-EM Density Maps. VCBM 2020: 115-125 - [i19]Gabriel Eilertsen, Daniel Jönsson, Timo Ropinski, Jonas Unger, Anders Ynnerman:
Classifying the classifier: dissecting the weight space of neural networks. CoRR abs/2002.05688 (2020) - [i18]Michael Schelling, Pedro Hermosilla, Pere-Pau Vázquez, Timo Ropinski:
Enabling Viewpoint Learning through Dynamic Label Generation. CoRR abs/2003.04651 (2020) - [i17]Hartwig Anzt, Felix Bach, Stephan Druskat, Frank Löffler, Axel Loewe, Bernhard Y. Renard, Gunnar Seemann, Alexander Struck, Elke Achhammer, Piush Aggarwal, Franziska Appel, Michael Bader, Lutz Brusch, Christian Busse, Gerasimos Chourdakis, Piotr Wojtek Dabrowski, Peter Ebert, Bernd Flemisch, Sven Friedl, Bernadette Fritzsch, Maximilian D. Funk, Volker Gast, Florian Goth, Jean-Noël Grad, Sibylle Hermann, Florian Hohmann, Stephan Janosch, Dominik Kutra, Jan Linxweiler, Thilo Muth, Wolfgang Peters-Kottig, Fabian Rack, Fabian H. C. Raters, Stephan Rave, Guido Reina, Malte Reißig, Timo Ropinski, Jörg Schaarschmidt, Heidi Seibold, Jan P. Thiele, Benjamin Uekermann, Stefan Unger, Rudolf Weeber:
An Environment for Sustainable Research Software in Germany and Beyond: Current State, Open Challenges, and Call for Action. CoRR abs/2005.01469 (2020) - [i16]Pedro Hermosilla, Marco Schäfer, Matej Lang, Gloria Fackelmann, Pere-Pau Vázquez, Barbora Kozlíková, Michael Krone, Tobias Ritschel, Timo Ropinski:
ProteiNN: Intrinsic-Extrinsic Convolution and Pooling for Scalable Deep Protein Analysis. CoRR abs/2007.06252 (2020) - [i15]Dominik Engel, Timo Ropinski:
Deep Volumetric Ambient Occlusion. CoRR abs/2008.08345 (2020) - [i14]Alex Bäuerle, Raphael Störk, Timo Ropinski:
exploRNN: Understanding Recurrent Neural Networks through Visual Exploration. CoRR abs/2012.06326 (2020) - [i13]Hartwig Anzt, Felix Bach, Stephan Druskat, Frank Löffler, Axel Loewe, Bernhard Y. Renard, Gunnar Seemann, Alexander Struck, Elke Achhammer, Piush Aggarwal, Franziska Appel, Michael Bader, Lutz Brusch, Christian Busse, Gerasimos Chourdakis, Piotr Wojciech Dabrowski, Peter Ebert, Bernd Flemisch, Sven Friedl, Bernadette Fritzsch, Maximilian D. Funk, Volker Gast, Florian Goth, Jean-Noël Grad, Sibylle Hermann, Florian Hohmann, Stephan Janosch, Dominik Kutra, Jan Linxweiler, Thilo Muth, Wolfgang Peters-Kottig, Fabian Rack, Fabian H. C. Raters, Stephan Rave, Guido Reina, Malte Reißig, Timo Ropinski, Jörg Schaarschmidt, Heidi Seibold, Jan P. Thiele, Benjamin Uekermann, Stefan Unger, Rudolf Weeber:
An environment for sustainable research software in Germany and beyond: current state, open challenges, and call for action. F1000Research 9: 295 (2020) - [i12]Renata Georgia Raidou, Barbora Kozlíková, Johanna Beyer, Timo Ropinski, Issei Fujishiro:
Formalizing Biological and Medical Visualization (NII Shonan Meeting 167). NII Shonan Meet. Rep. 2020 (2020)
2010 – 2019
- 2019
- [j40]Pedro Hermosilla, Sebastian Maisch, Tobias Ritschel, Timo Ropinski:
Deep-learning the Latent Space of Light Transport. Comput. Graph. Forum 38(4): 207-217 (2019) - [j39]Simon Besenthal, Sebastian Maisch, Timo Ropinski:
Multi-Resolution Rendering for Computationally Expensive Lighting Effects. J. WSCG 27(1) (2019) - [j38]David Duran, Pedro Hermosilla, Timo Ropinski, Barbora Kozlíková, Àlvar Vinacua, Pere-Pau Vázquez:
Visualization of Large Molecular Trajectories. IEEE Trans. Vis. Comput. Graph. 25(1): 987-996 (2019) - [j37]Stefan Bruckner, Tobias Isenberg, Timo Ropinski, Alexander Wiebel:
A Model of Spatial Directness in Interactive Visualization. IEEE Trans. Vis. Comput. Graph. 25(8): 2514-2528 (2019) - [c73]Pedro Hermosilla Casajus, Tobias Ritschel, Timo Ropinski:
Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning. ICCV 2019: 52-60 - [d3]Peter Steneteg, Rickard Englund, Martin Falk, Daniel Jönsson, Erik Sundén, Anke Friederici, Jochen Jankowai, Albin Bergström, Dominik Engel, Sathish Kottravel, Robin Skånberg, Tino Weinkauf, Anders Ynnerman, Ingrid Hotz, Timo Ropinski:
Inviwo. Version 0.9.11. Zenodo, 2019 [all versions]
- [d2]Peter Steneteg, Rickard Englund, Martin Falk, Daniel Jönsson, Erik Sundén, Anke Friederici, Jochen Jankowai, Albin Bergström, Dominik Engel, Sathish Kottravel, Robin Skånberg, Tino Weinkauf, Anders Ynnerman, Ingrid Hotz, Timo Ropinski:
Inviwo. Version 0.9.11. Zenodo, 2019 [all versions] - [d1]Peter Steneteg, Rickard Englund, Martin Falk, Daniel Jönsson, Erik Sundén, Anke Friederici, Jochen Jankowai, Albin Bergström, Dominik Engel, Sathish Kottravel, Robin Skånberg, Tino Weinkauf, Anders Ynnerman, Ingrid Hotz, Timo Ropinski:
Inviwo. Version 0.9.11. Zenodo, 2019 [all versions] - [i11]Alex Bäuerle, Timo Ropinski:
Net2Vis: Transforming Deep Convolutional Networks into Publication-Ready Visualizations. CoRR abs/1902.04394 (2019) - [i10]Sebastian Hartwig, Timo Ropinski:
Training Object Detectors on Synthetic Images Containing Reflecting Materials. CoRR abs/1904.00824 (2019) - [i9]Pedro Hermosilla, Tobias Ritschel, Timo Ropinski:
Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning. CoRR abs/1904.07615 (2019) - [i8]Simon Besenthal, Sebastian Maisch, Timo Ropinski:
Multi-Resolution Rendering for Computationally Expensive Lighting Effects. CoRR abs/1906.04576 (2019) - 2018
- [j36]Philipp Henzler, Volker Rasche, Timo Ropinski, Tobias Ritschel:
Single-image Tomography: 3D Volumes from 2D Cranial X-Rays. Comput. Graph. Forum 37(2): 377-388 (2018) - [j35]Pedro Hermosilla, Pere-Pau Vázquez, Àlvar Vinacua, Timo Ropinski:
A General Illumination Model for Molecular Visualization. Comput. Graph. Forum 37(3): 367-378 (2018) - [j34]Julian Kreiser, Monique Meuschke, Gabriel Mistelbauer, Bernhard Preim, Timo Ropinski:
A Survey of Flattening-Based Medical Visualization Techniques. Comput. Graph. Forum 37(3): 597-624 (2018) - [j33]Julian Kreiser, J. Freedman, Timo Ropinski:
Visually Supporting Multiple Needle Placement in Irreversible Electroporation Interventions. Comput. Graph. Forum 37(6): 59-71 (2018) - [j32]Rickard Englund, Timo Ropinski:
Quantitative and Qualitative Analysis of the Perception of Semi-Transparent Structures in Direct Volume Rendering. Comput. Graph. Forum 37(6): 174-187 (2018) - [j31]Pedro Hermosilla, Tobias Ritschel, Pere-Pau Vázquez, Àlvar Vinacua, Timo Ropinski:
Monte Carlo convolution for learning on non-uniformly sampled point clouds. ACM Trans. Graph. 37(6): 235 (2018) - [j30]Julian Kreiser, Alexander Hann, Eugen Zizer, Timo Ropinski:
Decision Graph Embedding for High-Resolution Manometry Diagnosis. IEEE Trans. Vis. Comput. Graph. 24(1): 873-882 (2018) - [c72]Bernhard Preim, Timo Ropinski, Petra Isenberg:
A Critical Analysis of the Evaluation Practice in Medical Visualization. VCBM@MICCAI 2018: 45-56 - [c71]Pedro Hermosilla, Sebastian Maisch, Pere-Pau Vázquez, Timo Ropinski:
Improving Perception of Molecular Surface Visualizations by Incorporating Translucency Effects. VCBM@MICCAI 2018: 185-195 - [i7]Pedro Hermosilla, Tobias Ritschel, Pere-Pau Vázquez, Àlvar Vinacua, Timo Ropinski:
Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point Clouds. CoRR abs/1806.01759 (2018) - [i6]Julian Kreiser, Pedro Hermosilla, Timo Ropinski:
Void Space Surfaces to Convey Depth in Vessel Visualizations. CoRR abs/1806.07729 (2018) - [i5]Alex Bäuerle, Heiko Neumann, Timo Ropinski:
Training De-Confusion: An Interactive, Network-Supported Visual Analysis System for Resolving Errors in Image Classification Training Data. CoRR abs/1808.03114 (2018) - [i4]Pedro Hermosilla, Sebastian Maisch, Tobias Ritschel, Timo Ropinski:
Deep-learning the Latent Space of Light Transport. CoRR abs/1811.04756 (2018) - [i3]Daniel Jönsson, Peter Steneteg, Erik Sundén, Rickard Englund, Sathish Kottravel, Martin Falk, Anders Ynnerman, Ingrid Hotz, Timo Ropinski:
Inviwo - A Visualization System with Usage Abstraction Levels. CoRR abs/1811.12517 (2018) - 2017
- [j29]Sebastian Maisch, Timo Ropinski:
Spatial Adjacency Maps for Translucency Simulation under General Illumination. Comput. Graph. Forum 36(2): 443-453 (2017) - [j28]Alexander Bock, Åsa Svensson, Alexander Kleiner, Jonas Lundberg, Timo Ropinski:
A Visualization-Based Analysis System for Urban Search & Rescue Mission Planning Support. Comput. Graph. Forum 36(6): 148-159 (2017) - [j27]Sathish Kottravel, Riccardo Volpi, Mathieu Linares, Timo Ropinski, Ingrid Hotz:
Visual Analysis of Stochastic Trajectory Ensembles in Organic Solar Cell Design. Informatics 4(3): 25 (2017) - [j26]Pedro Hermosilla, Jorge Estrada, Victor Guallar, Timo Ropinski, Àlvar Vinacua, Pere-Pau Vázquez:
Physics-Based Visual Characterization of Molecular Interaction Forces. IEEE Trans. Vis. Comput. Graph. 23(1): 731-740 (2017) - [j25]José Díaz, Timo Ropinski, Isabel Navazo, Enrico Gobbetti, Pere-Pau Vázquez:
An experimental study on the effects of shading in 3D perception of volumetric models. Vis. Comput. 33(1): 47-61 (2017) - [j24]Pedro Hermosilla, Michael Krone, Victor Guallar, Pere-Pau Vázquez, Àlvar Vinacua, Timo Ropinski:
Interactive GPU-based generation of solvent-excluded surfaces. Vis. Comput. 33(6-8): 869-881 (2017) - [c70]Christian van Onzenoodt, Julian Kreiser, Dominique Heer, Timo Ropinski:
Evaluating the Influence of Stereoscopy on Cluster Perception in Scatterplots. SIGRAD 2017: 143:004 - [c69]Jan Malzahn, Barbora Kozlíková, Timo Ropinski:
Protein Tunnel Reprojection for Physico-Chemical Property Analysis. VCBM 2017: 1-10 - [e5]Stefan Bruckner, Timo Ropinski:
38th Annual Conference of the European Association for Computer Graphics, Eurographics 2017 - Dirk Bartz Prize, Lyon, France, April 24-28, 2017. Eurographics Association 2017 [contents] - [i2]Philipp Henzler, Volker Rasche, Timo Ropinski, Tobias Ritschel:
Single-image Tomography: 3D Volumes from 2D X-Rays. CoRR abs/1710.04867 (2017) - 2016
- [j23]Bernhard Preim, Alexandra Baer, Douglas W. Cunningham, Tobias Isenberg, Timo Ropinski:
A Survey of Perceptually Motivated 3D Visualization of Medical Image Data. Comput. Graph. Forum 35(3): 501-525 (2016) - [j22]