Timo Ropinski

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 109

Top Venues

CoRR

Comput. Graph. Forum

IEEE Trans. Vis. Comput. Graph.

PacificVis

University of Münster, Germany (PHD)

Education History

University of Münster, Germany

PHD

Publications

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 (2024)
Sebastian Koch, Pedro Hermosilla, Narunas Vaskevicius, Mirco Colosi, Timo Ropinski
Lang3DSG: Language-based contrastive pre-training for 3D Scene Graph prediction. 3DV (2024)
Dominik Engel, Sebastian Hartwig, Timo Ropinski
Monocular Depth Decomposition of Semi-Transparent Volume Renderings. IEEE Trans. Vis. Comput. Graph. 30 (7) (2024)
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)
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)
Sebastian Koch, Pedro Hermosilla, Narunas Vaskevicius, Mirco Colosi, Timo Ropinski
SGRec3D: Self-Supervised 3D Scene Graph Learning via Object-Level Scene Reconstruction. WACV (2024)
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 (2024)
Leon Sick, Dominik Engel, Pedro Hermosilla, Timo Ropinski
Attention-Guided Masked Autoencoders For Learning Image Representations. CoRR (2024)
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)
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)
Sebastian Hartwig, Christian van Onzenoodt, Pedro Hermosilla, Timo Ropinski
ClusterNet: A Perception-Based Clustering Model for Scattered Data. CoRR (2023)
Sebastian Koch, Pedro Hermosilla, Narunas Vaskevicius, Mirco Colosi, Timo Ropinski
Lang3DSG: Language-based contrastive pre-training for 3D Scene Graph prediction. CoRR (2023)
Alex Bäuerle, Patrick Albus, Raphael Störk, Tina Seufert, Timo Ropinski
exploRNN: teaching recurrent neural networks through visual exploration. Vis. Comput. 39 (9) (2023)
Alex Bäuerle, Christian van Onzenoodt, Daniel Jönsson, Timo Ropinski
Semantic Hierarchical Exploration of Large Image Datasets. EuroVis (Short Papers) (2023)
Ngan 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) (2023)
Dominik Engel, Leon Sick, Timo Ropinski
Leveraging Self-Supervised Vision Transformers for Neural Transfer Function Design. CoRR (2023)
Sebastian Koch, Pedro Hermosilla, Narunas Vaskevicius, Mirco Colosi, Timo Ropinski
SGRec3D: Self-Supervised 3D Scene Graph Learning via Object-Level Scene Reconstruction. CoRR (2023)
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) (2023)
Patrik Puchert, Timo Ropinski
A3GC-IP: Attention-oriented adjacency adaptive recurrent graph convolutions for human pose estimation from sparse inertial measurements. Comput. Graph. 117 (2023)
Patrik Puchert, Poonam Poonam, Christian van Onzenoodt, Timo Ropinski
LLMMaps - A Visual Metaphor for Stratified Evaluation of Large Language Models. CoRR (2023)
Michael Schelling, Pedro Hermosilla, Timo Ropinski
Weakly-Supervised Optical Flow Estimation for Time-of-Flight. WACV (2023)
Leon Sick, Dominik Engel, Pedro Hermosilla, Timo Ropinski
Spatially Guiding Unsupervised Semantic Segmentation Through Depth-Informed Feature Distillation and Sampling. CoRR (2023)
Jaegul Choo, Timo Ropinski, Yifan Hu
Editorial: Guest Editors' Introduction: Special Section on IEEE PacificVis 2023. IEEE Trans. Vis. Comput. Graph. 29 (6) (2023)
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 (2023)
Adam Celarek, Pedro Hermosilla, Bernhard Kerbl, Timo Ropinski, Michael Wimmer
Gaussian Mixture Convolution Networks. CoRR (2022)
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 (2022)
Alex Bäuerle, Daniel Jönsson, Timo Ropinski
Neural Activation Patterns (NAPs): Visual Explainability of Learned Concepts. CoRR (2022)
Pedro Hermosilla, Michael Schelling, Tobias Ritschel, Timo Ropinski
Variance-Aware Weight Initialization for Point Convolutional Neural Networks. ECCV (28) (2022)
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) (2022)
Adam Celarek, Pedro Hermosilla, Bernhard Kerbl, Timo Ropinski, Michael Wimmer
Gaussian Mixture Convolution Networks. ICLR (2022)
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 (2022)
Nan Cao, Timo Ropinski, Jian Zhao
Guest Editors' Introduction: Special Section on IEEE PacificVis 2022. IEEE Trans. Vis. Comput. Graph. 28 (6) (2022)
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)
Pedro Hermosilla, Timo Ropinski
Contrastive Representation Learning for 3D Protein Structures. CoRR (2022)
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 (2022)
Michael Schelling, Pedro Hermosilla, Timo Ropinski
Weakly-Supervised Optical Flow Estimation for Time-of-Flight. CoRR (2022)
Dominik Engel, Sebastian Hartwig, Timo Ropinski
Monocular Depth Estimation for Semi-Transparent Volume Renderings. CoRR (2022)
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) (2022)
Michael Schelling, Pedro Hermosilla, Timo Ropinski
RADU: Ray-Aligned Depth Update Convolutions for ToF Data Denoising. CVPR (2022)
Mark Colley, Sebastian Hartwig, Albin Zeqiri, Timo Ropinski, Enrico Rukzio
AutoTherm: A Dataset and Ablation Study for Thermal Comfort Prediction in Vehicles. CoRR (2022)
Patrik Puchert, Pedro Hermosilla, Tobias Ritschel, Timo Ropinski
Data-driven deep density estimation. CoRR (2021)
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)
Patrik Puchert, Timo Ropinski
Human Pose Estimation from Sparse Inertial Measurements through Recurrent Graph Convolution. CoRR (2021)
Patrik Puchert, Pedro Hermosilla, Tobias Ritschel, Timo Ropinski
Data-driven deep density estimation. Neural Comput. Appl. 33 (23) (2021)
Christian van Onzenoodt, Gurprit Singh, Timo Ropinski, Tobias Ritschel
Blue Noise Plots. CoRR (2021)
Michael Schelling, Pedro Hermosilla, Pere-Pau Vázquez, Timo Ropinski
Enabling Viewpoint Learning through Dynamic Label Generation. Comput. Graph. Forum 40 (2) (2021)
Christian van Onzenoodt, Gurprit Singh, Timo Ropinski, Tobias Ritschel
Blue Noise Plots. Comput. Graph. Forum 40 (2) (2021)
Michael Schelling, Pedro Hermosilla, Timo Ropinski
RADU: Ray-Aligned Depth Update Convolutions for ToF Data Denoising. CoRR (2021)
Pedro Hermosilla, Michael Schelling, Tobias Ritschel, Timo Ropinski
Variance-Aware Weight Initialization for Point Convolutional Neural Networks. CoRR (2021)
Dominik Engel, Timo Ropinski
Deep Volumetric Ambient Occlusion. IEEE Trans. Vis. Comput. Graph. 27 (2) (2021)
Michael Stegmaier, Dominik Engel, Jannik Olbrich, Timo Ropinski, Matthias Tichy
Property-Based Testing for Visualization Development. VisGap@EuroVis (2021)
Julian Kreiser, Pedro Hermosilla, Timo Ropinski
Void Space Surfaces to Convey Depth in Vessel Visualizations. IEEE Trans. Vis. Comput. Graph. 27 (10) (2021)
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) (2021)
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) (2021)
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)
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 (2020)
Christian van Onzenoodt, Anke Huckauf, Timo Ropinski
On the perceptual influence of shape overlap on data-comparison using scatterplots . Comput. Graph. 90 (2020)
Alex Bäuerle, Heiko Neumann, Timo Ropinski
Classifier-Guided Visual Correction of Noisy Labels for Image Classification Tasks. Comput. Graph. Forum 39 (3) (2020)
Hannah Kniesel, Timo Ropinski, Pedro Hermosilla
Real-Time Visualization of 3D Amyloid-Beta Fibrils from 2D Cryo-EM Density Maps. VCBM (2020)
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 (2020)
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 Uekerman, Stefan Unger, Rudolf Weeber
An Environment for Sustainable Research Software in Germany and Beyond: Current State, Open Challenges, and Call for Action. CoRR (2020)
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 (2020)
Sebastian Maisch, Timo Ropinski
Interactive Subsurface Scattering for Materials With High Scattering Distances. Comput. Graph. Forum 39 (6) (2020)
Dominik Engel, Timo Ropinski
Deep Volumetric Ambient Occlusion. CoRR (2020)
Alex Bäuerle, Raphael Störk, Timo Ropinski
exploRNN: Understanding Recurrent Neural Networks through Visual Exploration. CoRR (2020)
Gabriel Eilertsen, Daniel Jönsson, Timo Ropinski, Jonas Unger, Anders Ynnerman
Classifying the classifier: dissecting the weight space of neural networks. CoRR (2020)
Gabriel Eilertsen, Daniel Jönsson, Timo Ropinski, Jonas Unger, Anders Ynnerman
Classifying the Classifier: Dissecting the Weight Space of Neural Networks. ECAI (2020)
Michael Schelling, Pedro Hermosilla, Pere-Pau Vázquez, Timo Ropinski
Enabling Viewpoint Learning through Dynamic Label Generation. CoRR (2020)
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) (2020)
Pedro Hermosilla Casajus, Tobias Ritschel, Timo Ropinski
Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning. ICCV (2019)
Simon Besenthal, Sebastian Maisch, Timo Ropinski
Multi-Resolution Rendering for Computationally Expensive Lighting Effects. CoRR (2019)
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) (2019)
Pedro Hermosilla, Tobias Ritschel, Timo Ropinski
Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning. CoRR (2019)
Stefan Bruckner, Tobias Isenberg, Timo Ropinski, Alexander Wiebel
A Model of Spatial Directness in Interactive Visualization. IEEE Trans. Vis. Comput. Graph. 25 (8) (2019)
Simon Besenthal, Sebastian Maisch, Timo Ropinski
Multi-Resolution Rendering for Computationally Expensive Lighting Effects. J. WSCG 27 (1) (2019)
Pedro Hermosilla, Sebastian Maisch, Tobias Ritschel, Timo Ropinski
Deep-learning the Latent Space of Light Transport. Comput. Graph. Forum 38 (4) (2019)
Sebastian Hartwig, Timo Ropinski
Training Object Detectors on Synthetic Images Containing Reflecting Materials. CoRR (2019)
Alex Bäuerle, Timo Ropinski
Net2Vis: Transforming Deep Convolutional Networks into Publication-Ready Visualizations. CoRR (2019)
Pedro Hermosilla, Sebastian Maisch, Pere-Pau Vázquez, Timo Ropinski
Improving Perception of Molecular Surface Visualizations by Incorporating Translucency Effects. VCBM@MICCAI (2018)
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 (2018)
Philipp Henzler, Volker Rasche, Timo Ropinski, Tobias Ritschel
Single-image Tomography: 3D Volumes from 2D Cranial X-Rays. Comput. Graph. Forum 37 (2) (2018)
Julian Kreiser, Pedro Hermosilla, Timo Ropinski
Void Space Surfaces to Convey Depth in Vessel Visualizations. CoRR (2018)
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) (2018)
Rickard Englund, Timo Ropinski
Quantitative and Qualitative Analysis of the Perception of Semi-Transparent Structures in Direct Volume Rendering. Comput. Graph. Forum 37 (6) (2018)
Julian Kreiser, Monique Meuschke, Gabriel Mistelbauer, Bernhard Preim, Timo Ropinski
A Survey of Flattening-Based Medical Visualization Techniques. Comput. Graph. Forum 37 (3) (2018)
Julian Kreiser, Alexander Hann, Eugen Zizer, Timo Ropinski
Decision Graph Embedding for High-Resolution Manometry Diagnosis. IEEE Trans. Vis. Comput. Graph. 24 (1) (2018)
Pedro Hermosilla, Tobias Ritschel, Pere-Pau Vázquez, Àlvar Vinacua, Timo Ropinski
Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point Clouds. CoRR (2018)
Bernhard Preim, Timo Ropinski, Petra Isenberg
A Critical Analysis of the Evaluation Practice in Medical Visualization. VCBM@MICCAI (2018)
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 (2018)
Julian Kreiser, J. Freedman, Timo Ropinski
Visually Supporting Multiple Needle Placement in Irreversible Electroporation Interventions. Comput. Graph. Forum 37 (6) (2018)
Pedro Hermosilla, Sebastian Maisch, Tobias Ritschel, Timo Ropinski
Deep-learning the Latent Space of Light Transport. CoRR (2018)
Pedro Hermosilla, Pere-Pau Vázquez, Àlvar Vinacua, Timo Ropinski
A General Illumination Model for Molecular Visualization. Comput. Graph. Forum 37 (3) (2018)
Sathish Kottravel, Riccardo Volpi, Mathieu Linares, Timo Ropinski, Ingrid Hotz
Visual Analysis of Stochastic Trajectory Ensembles in Organic Solar Cell Design. Informatics 4 (3) (2017)
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) (2017)
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) (2017)
Philipp Henzler, Volker Rasche, Timo Ropinski, Tobias Ritschel
Single-image Tomography: 3D Volumes from 2D X-Rays. CoRR (2017)
Sebastian Maisch, Timo Ropinski
Spatial Adjacency Maps for Translucency Simulation under General Illumination. Comput. Graph. Forum 36 (2) (2017)
Jan Malzahn, Barbora Kozlíková, Timo Ropinski
Protein Tunnel Reprojection for Physico-Chemical Property Analysis. VCBM (2017)
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) (2017)
Christian van Onzenoodt, Julian Kreiser, Dominique Heer, Timo Ropinski
Evaluating the Influence of Stereoscopy on Cluster Perception in Scatterplots. SIGRAD (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Timo Ropinski