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Deep Volumetric Ambient Occlusion

Aug 19, 2020
Dominik Engel, Timo Ropinski

* IEEE VIS SciVis 2020 

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ProteiNN: Intrinsic-Extrinsic Convolution and Pooling for Scalable Deep Protein Analysis

Jul 13, 2020
Pedro Hermosilla, Marco Schäfer, Matěj Lang, Gloria Fackelmann, Pere Pau Vázquez, Barbora Kozlíková, Michael Krone, Tobias Ritschel, Timo Ropinski


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Enabling Viewpoint Learning through Dynamic Label Generation

Mar 10, 2020
Michael Schelling, Pedro Hermosilla, Pere-Pau Vazquez, Timo Ropinski


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Classifying the classifier: dissecting the weight space of neural networks

Feb 13, 2020
Gabriel Eilertsen, Daniel Jönsson, Timo Ropinski, Jonas Unger, Anders Ynnerman

* ECAI 2020 

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Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning

Apr 16, 2019
Pedro Hermosilla, Tobias Ritschel, Timo Ropinski


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Training Object Detectors on Synthetic Images Containing Reflecting Materials

Mar 29, 2019
Sebastian Hartwig, Timo Ropinski


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Net2Vis: Transforming Deep Convolutional Networks into Publication-Ready Visualizations

Mar 06, 2019
Alex Bäuerle, Timo Ropinski


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Deep-learning the Latent Space of Light Transport

Nov 12, 2018
Pedro Hermosilla, Sebastian Maisch, Tobias Ritschel, Timo Ropinski


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Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point Clouds

Sep 25, 2018
Pedro Hermosilla, Tobias Ritschel, Pere-Pau Vázquez, Àlvar Vinacua, Timo Ropinski

* ACM Transactions on Graphics (Proocedings of SIGGRAPH Asia 2018) 

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Training De-Confusion: An Interactive, Network-Supported Visual Analysis System for Resolving Errors in Image Classification Training Data

Aug 09, 2018
Alex Bäuerle, Heiko Neumann, Timo Ropinski


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The Ultrasound Visualization Pipeline - A Survey

Jun 18, 2012
Åsmund Birkeland, Veronika Solteszova, Dieter Hönigmann, Odd Helge Gilja, Svein Brekke, Timo Ropinski, Ivan Viola


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