Preprints
ClusterNet: A Perception-Based Clustering Model for Scattered Data
Sebastian Hartwig, Christian van Onzenoodt, Dominik Engel, Pedro Hermosilla, Timo Ropinski
https://arxiv.org/abs/2304.14185, 2024
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2024
Unsupervised Semantic Segmentation Through Depth-Informed Feature Distillation and Sampling
Leon Sick, Dominik Engel, Pedro Hermosilla, Timo Ropinski
IEEE Conference on Computer Vision and Pattern Recognition, 2024
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SGRec3D: Self-Supervised Pre-training for 3D Scene Graph prediction
Sebastian Koch, Pedro Hermosilla, Narunas Vaskevicius, Mirco Colosi, Timo Ropinski
IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
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Lang3DSG: Language-based contrastive pre-training for 3D scene graph prediction
Sebastian Koch, Pedro Hermosilla, Narunas Vaskevicius, Mirco Colosi, Timo Ropinski
International Conference on 3D Vision, 2024
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Open3DSG: Open-Vocabulary 3D Scene Graphs from Point Clouds with Queryable Objects and Open-Set Relationships
Sebastian Koch, Narunas Vaskevicius, Mirco Colosi, Pedro Hermosilla, Timo Ropinski
IEEE Conference on Computer Vision and Pattern Recognition, 2024
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Weakly-Supervised Optical Flow Estimation for Time-of-Flight
Michael Schelling, Pedro Hermosilla, Timo Ropinski
IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
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RADU: Ray-Aligned Depth Update Convolutions for ToF Data Denoising
Michael Schelling, Pedro Hermosilla, Timo Ropinski
IEEE Conference on Computer Vision and Pattern Recognition, 2022
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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
picture_as_pdf format_quote codeGaussian Mixture Convolution Networks
Adam Celarek, Pedro Hermosilla, Bernhard Kerbl, Timo Ropinski, Michael Wimmer
International Conference on Learning Representations, 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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Enabling Viewpoint Learning through Dynamic Label Generation
Michael Schelling, Pedro Hermosilla, Pere-Pau Vázquez, Timo Ropinski
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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Void Space Surfaces to Convey Depth in Vessel Visualizations
Julian Kreiser, Pedro Hermosilla, Timo Ropinski
IEEE Transactions on Visualization and Computer Graphics (Proc. of IEEE Vizualisation and Visual Analytics 2020), 2020
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Real-Time Visualization of 3D Amyloid-Beta Fibrils from 2D Cryo-EM Density Maps
Hannah Kniesel, Timo Ropinski, Pedro Hermosilla
Eurographics Workshop on Visual Computing for Biology and Medicine, 2020
picture_as_pdf format_quote2019
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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A General Illumination Model for Molecular Visualization
Pedro Hermosilla, Pere-Pau Vázquez, Àlvar Vinacua, Timo Ropinski
Computer Graphics Forum, 2018
format_quoteImproving Perception of Molecular Surface Visualizations by Incorporating Translucency Effects
Pedro Hermosilla, Sebastian Maisch, Pere-Pau Vázquez, Timo Ropinski
Eurographics Workshop on Visual Computing for Biology and Medicine, 2018
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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
picture_as_pdf format_quote codeVisual Analysis of Protein-Ligand Interactions
Pere-Pau Vázquez, Pedro Hermosilla, Victor Guallar, Jorge Estrada, Àlvar Vinacua
Computer Graphics Forum, 2018
format_quoteVisualization of Large Molecular Trajectories
David Duran Rosich, Pedro Hermosilla, Timo Ropinski, Barbora Kozlíková, Àlvar Vinacua, Pere-Pau Vázquez
IEEE Transactions on Visualization and Computer Graphics (Proc. of IEEE Vizualisation and Visual Analytics 2018), 2018
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Physics-based Visual Characterization of Molecular Interaction Forces
Pedro Hermosilla, Jorge Estrada, Victor Guallar, Timo Ropinski, Àlvar Vinacua, Pere-Pau Vázquez
IEEE Transactions on Visualization and Computer Graphics (Proc. of IEEE Vizualisation and Visual Analytics 2017), 2017
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High quality illustrative effects for molecular rendering
Pedro Hermosilla, Victor Guallar, Àlvar Vinacua, Pere-Pau Vázquez
Computers & Graphics (Proc. of CAD & Graphics 2020), 2016
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Instant Visualization of Secondary Structures of Molecular Models
Pedro Hermosilla, Victor Guallar, Àlvar Vinacua, Pere-Pau Vázquez
Eurographics Workshop on Visual Computing for Biology and Medicine, 2015
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Uncertainty Visualization of Brain Fibers
Pedro Hermosilla, Ralph Brecheisen, Pere-Pau Vázquez, Anna Vilanova
Congreso Español De Informatica Grafica, 2012
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Single pass GPU stylized edges
Pedro Hermosilla, Pere-Pau Vázquez
Iberoamerican Symposium in Computer Graphics, 2009
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