Pedro Hermosilla, Dr.

Pedro Hermosilla Casajus obtained his PhD in Computing from the Universitat Politecnica de Catalunya in 2017. In September 2017 he joined the Visual Computing group in Ulm as a PostDoc, where he is currently working on Point Cloud processing and Machine Learning techniques applied to Computer Vision and Computer Graphics problems. He has left the research group in Dezember 2022 to persue his accademic carrier at the Institute of Visual Computing and Human-Centered Technology, TU Vienna (2022).

Research interests

Point Cloud processing
Machine Learning
Computer Graphics

Lectures

GPU Programming

Open Topics for Theses

I offer different thesis topics related to Machine Learning applied to 3D data. If you are interested in writing a thesis on one of these topics, write me an email or drop by my office.

Publications

Pre-Print

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

Peer-Reviewed

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
Weakly Supervised Virus Capsid Detection with Image-Level Annotations in Electron Microscopy Images

Hannah Kniesel, Leon Sick, Tristan Payer, Tim Bergner, Kavitha Shaga Devan, Clarissa Read, Paul Walther, Timo Ropinski, Pedro Hermosilla

International Conference on Learning Representations 2024
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
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
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
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
Variance-Aware Weight Initialization for Point Convolutional Neural Networks

Pedro Hermosilla, Michael Schelling, Tobias Ritschel, Timo Ropinski

European Conference on Computer Vision 2022
Learning Human Viewpoint Preferences from Sparsely Annotated Models

Sebastian Hartwig, Michael Schelling, Christian van Onzenoodt, Pere-Pau Vázquez, Pedro Hermosilla, Timo Ropinski

Computer Graphics Forum 2022
Gaussian Mixture Convolution Networks

Adam Celarek, Pedro Hermosilla, Bernhard Kerbl, Timo Ropinski, Michael Wimmer

International Conference on Learning Representations 2022
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
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
Data-Driven Deep Density Estimation

Patrik Puchert, Pedro Hermosilla, Tobias Ritschel, Timo Ropinski

Neural Computing and Applications 2021
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
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
GPU Pro: Advanced Rendering Techniques

Pedro Hermosilla, Pere-Pau Vázquez

2020
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
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
Deep-learning the Latent Space of Light Transport

Pedro Hermosilla, Sebastian Maisch, Tobias Ritschel, Timo Ropinski

Computer Graphics Forum 2019
Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning

Pedro Hermosilla, Tobias Ritschel, Timo Ropinski

IEEE/CVF International Conference on Computer Vision 2019
A General Illumination Model for Molecular Visualization

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

Computer Graphics Forum 2018
Improving 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
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
Visual Analysis of Protein-Ligand Interactions

Pere-Pau Vázquez, Pedro Hermosilla, Victor Guallar, Jorge Estrada, Àlvar Vinacua

Computer Graphics Forum 2018
Visualization 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
Interactive GPU-based Generation of Solvent Excluded Surfaces

Pedro Hermosilla, Michael Krone, Victor Guallar, Pere-Pau Vázquez, Àlvar Vinacua, Timo Ropinski

The Visual Computer 2017
PhD Thesis: Advanced inspection techniques for molecular simulations

Pedro Hermosilla

2017
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
High quality illustrative effects for molecular rendering

Pedro Hermosilla, Victor Guallar, Àlvar Vinacua, Pere-Pau Vázquez

Computers & Graphics (Proc. of CAD & Graphics) 2016
Interactive inspection of complex multi-object industrial assemblies

Oscar Argudo, Isaac Besora, Pere Brunet, Carles Creus, Pedro Hermosilla, Isabel Navazo, Àlvar Vinacua

Computer Aided-Design 2016
Adaptive on-the-fly molecular ribbons generation

Pedro Hermosilla, Victor Guallar, Àlvar Vinacua, Pere-Pau Vázquez

2015
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
Uncertainty Visualization of Brain Fibers

Pedro Hermosilla, Ralph Brecheisen, Pere-Pau Vázquez, Anna Vilanova

Congreso Español De Informatica Grafica 2012
Single pass GPU stylized edges

Pedro Hermosilla, Pere-Pau Vázquez

Iberoamerican Symposium in Computer Graphics 2009