Clean Implicit 3D Structure from Noisy 2D STEM Images

Hannah Kniesel, Timo Ropinski, Tim Bergner, Kavitha Shaga Devan, Clarissa Read, Paul Walther, Tobias Ritschel, Pedro Hermosilla

IEEE Conference on Computer Vision and Pattern Recognition, 2022

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Variance-Aware Weight Initialization for Point Convolutional Neural Networks

Pedro Hermosilla, Michael Schelling, Tobias Ritschel, Timo Ropinski

European Conference on Computer Vision, 2022

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Blue Noise Plots

Christian van Onzenoodt, Gurprit Singh, Timo Ropinski, Tobias Ritschel

Computer Graphics Forum (Proc. of Annual Conference of the European Association for Computer Graphics 2021), 2021

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Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures

Pedro Hermosilla, Marco Schäfer, Matej Lang, Gloria Fackelmann, Pere-Pau Vázquez, Barbora Kozlíková, Michael Krone, Tobias Ritschel, Timo Ropinski

International Conference on Learning Representations, 2021

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Data-Driven Deep Density Estimation

Patrik Puchert, Pedro Hermosilla, Tobias Ritschel, Timo Ropinski

Neural Computing and Applications, 2021

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Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning

Pedro Hermosilla, Tobias Ritschel, Timo Ropinski

IEEE/CVF International Conference on Computer Vision, 2019

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Deep-learning the Latent Space of Light Transport

Pedro Hermosilla, Sebastian Maisch, Tobias Ritschel, Timo Ropinski

Computer Graphics Forum, 2019

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

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

ACM Transactions on Graphics, 2018

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Single-image Tomography: 3D Volumes from 2D Cranial X-Rays

Philipp Henzler, Volker Rasche, Timo Ropinski, Tobias Ritschel

Computer Graphics Forum, 2018

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