Pedro Hermosilla

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 52

Top Topics

Flow Estimation

Protein Structure

Top Venues

Comput. Graph. Forum

IEEE Trans. Vis. Comput. Graph.

Publications

Philipp Erler, Lizeth J. Fuentes Perez, Pedro Hermosilla, Paul Guerrero, Renato Pajarola, Michael Wimmer
PPSurf: Combining Patches and Point Convolutions for Detailed Surface Reconstruction. Comput. Graph. Forum 43 (1) (2024)
Áron Samuel Kovács, Pedro Hermosilla, Renata G. Raidou
Surface-aware Mesh Texture Synthesis with Pre-trained 2D CNNs. Comput. Graph. Forum 43 (2) (2024)
Philipp Erler, Lizeth Fuentes, Pedro Hermosilla, Paul Guerrero, Renato Pajarola, Michael Wimmer
PPSURF: Combining Patches and Point Convolutions for Detailed Surface Reconstruction. 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)
Lisa Weijler, Muhammad Jehanzeb Mirza, Leon Sick, Can Ekkazan, Pedro Hermosilla
TTT-KD: Test-Time Training for 3D Semantic Segmentation through Knowledge Distillation from Foundation Models. CoRR (2024)
Áron Samuel Kovács, Pedro Hermosilla, Renata G. Raidou
Surface-aware Mesh Texture Synthesis with Pre-trained 2D CNNs. CoRR (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)
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)
Lisa Weijler, Florian Kowarsch, Michael Reiter, Pedro Hermosilla, Margarita Maurer-Granofszky, Michael N. Dworzak
FATE: Feature-Agnostic Transformer-based Encoder for learning generalized embedding spaces in flow cytometry data. WACV (2024)
Pedro Hermosilla
Point Neighborhood Embeddings. CoRR (2023)
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)
Sebastian Koch, Pedro Hermosilla, Narunas Vaskevicius, Mirco Colosi, Timo Ropinski
SGRec3D: Self-Supervised 3D Scene Graph Learning via Object-Level Scene Reconstruction. 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)
Lisa Weijler, Florian Kowarsch, Michael Reiter, Pedro Hermosilla, Margarita Maurer-Granofszky, Michael N. Dworzak
FATE: Feature-Agnostic Transformer-based Encoder for learning generalized embedding spaces in flow cytometry data. CoRR (2023)
Adam Celarek, Pedro Hermosilla, Bernhard Kerbl, Timo Ropinski, Michael Wimmer
Gaussian Mixture Convolution Networks. CoRR (2022)
Pedro Hermosilla, Michael Schelling, Tobias Ritschel, Timo Ropinski
Variance-Aware Weight Initialization for Point Convolutional Neural Networks. ECCV (28) (2022)
Adam Celarek, Pedro Hermosilla, Bernhard Kerbl, Timo Ropinski, Michael Wimmer
Gaussian Mixture Convolution Networks. ICLR (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)
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)
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, Pedro Hermosilla, Tobias Ritschel, Timo Ropinski
Data-driven deep density estimation. Neural Comput. Appl. 33 (23) (2021)
Michael Schelling, Pedro Hermosilla, Pere-Pau Vázquez, Timo Ropinski
Enabling Viewpoint Learning through Dynamic Label Generation. 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)
Julian Kreiser, Pedro Hermosilla, Timo Ropinski
Void Space Surfaces to Convey Depth in Vessel Visualizations. IEEE Trans. Vis. Comput. Graph. 27 (10) (2021)
Hannah Kniesel, Timo Ropinski, Pedro Hermosilla
Real-Time Visualization of 3D Amyloid-Beta Fibrils from 2D Cryo-EM Density Maps. VCBM (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)
Michael Schelling, Pedro Hermosilla, Pere-Pau Vázquez, Timo Ropinski
Enabling Viewpoint Learning through Dynamic Label Generation. CoRR (2020)
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)
Pedro Hermosilla, Sebastian Maisch, Tobias Ritschel, Timo Ropinski
Deep-learning the Latent Space of Light Transport. Comput. Graph. Forum 38 (4) (2019)
Pedro Hermosilla, Sebastian Maisch, Pere-Pau Vázquez, Timo Ropinski
Improving Perception of Molecular Surface Visualizations by Incorporating Translucency Effects. VCBM@MICCAI (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)
Pere-Pau Vázquez, Pedro Hermosilla, Victor Guallar, Jorge Estrada, Àlvar Vinacua
Visual Analysis of protein-ligand interactions. Comput. Graph. Forum 37 (3) (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)
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)
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)
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) (2017)
Pedro Hermosilla, Victor Guallar, Àlvar Vinacua, Pere-Pau Vázquez
High quality illustrative effects for molecular rendering. Comput. Graph. 54 (2016)
Oscar Argudo, Isaac Besora, Pere Brunet, Carles Creus, Pedro Hermosilla, Isabel Navazo, Àlvar Vinacua
Interactive inspection of complex multi-object industrial assemblies. Comput. Aided Des. 79 (2016)
Pedro Hermosilla, Victor Guallar, Àlvar Vinacua, Pere-Pau Vázquez
Instant Visualization of Secondary Structures of Molecular Models. VCBM (2015)
Pedro Hermosilla, Ralph Brecheisen, Pere-Pau Vázquez, Anna Vilanova
Uncertainty Visualization of Brain Fibers. CEIG (2012)