Pedro Hermosilla

I am Assistant Professor in AI for Visual Computing at the Computer Vision Lab, at TU Wien, Austria. Before joining TU Wien, I did my PostDoc at the Viscom group headed by Prof. Timo Ropinski at Ulm University while working in close collaboration with Prof. Tobias Ritschel from University College London. I obtained my PhD at the Polytechnical University of Catalonia, under the supervision of Prof. Pere-Pau Vazquez and Prof. Alvar Vinacua.

My research is focused on developing machine learning technologies for 3D and unstructured data, with a special interest in point clouds, graphs, and implicit representations. During my research, I applied these technologies to solve different problems in the fields of Computer Vision, Computer Graphics, and Bioinformatics.

News

Feb 28, 2024	We have two papers accepted at CVPR. Congratulations to Sebastian Koch and Leon Sick!
Feb 20, 2024	Congratulations to Aron S. Kovacs for getting his work accepted at Eurographics 2024.
Jan 16, 2024	Our work on weakly-supervised virus capsid detection from electron microscopy images has been accepted to ICLR 2024. Congratulations to Hannah Kniesel!
Dec 28, 2023	The paper of Philipp Erle on surface reconstruction from point clouds has been accepted on Computer Graphics Forum.
Oct 21, 2023	The works of Lisa Weijler and Sebastian Koch have been accepted into WACV 2024.

Selected publications

Open3DSG: Open-Vocabulary 3D Scene Graphs from Point Clouds with Queryable Objects and Open-Set Relationships

S. Koch, N. Vaskevicius, M. Colosi, P. Hermosilla, and T. Ropinski

Conference on Computer Vision and Pattern Recognition (CVPR) 2024

arXiv Bib

@article{koch2024opengraph,
  title = {Open3DSG: Open-Vocabulary 3D Scene Graphs from Point Clouds with Queryable Objects and Open-Set Relationships},
  author = {Koch, S. and Vaskevicius, N. and Colosi, M. and Hermosilla, P. and Ropinski, T.},
  journal = {Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
}

Unsupervised Semantic Segmentation Through Depth-Guided Feature Correlation and Sampling

L. Sick, D. Engel, P. Hermosilla, and T. Ropinski

Conference on Computer Vision and Pattern Recognition (CVPR) 2024

arXiv Bib

@article{sick2023depthguided,
  title = {Unsupervised Semantic Segmentation Through Depth-Guided Feature Correlation and Sampling},
  author = {Sick, L. and Engel, D. and Hermosilla, P. and Ropinski, T.},
  journal = {Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
}

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

H. Kniesel, L. Sick, T. Payer, T. Bergner, K. S. Devan, C. Read, P. Walther, T. Ropinski, and P. Hermosilla

International Conference on Learning Representations (ICLR) 2024

Bib HTML

@article{kniesel2024wem,
  title = {Weakly Supervised Virus Capsid Detection with Image-Level Annotations in Electron Microscopy Images},
  author = {Kniesel, H. and Sick, L. and Payer, T. and Bergner, T. and Devan, K. S. and Read, C. and Walther, P. and Ropinski, T. and Hermosilla, P.},
  journal = {International Conference on Learning Representations (ICLR)},
  year = {2024},
}

Lang3DSG: Language-based contrastive pre-training for 3D scene graph prediction

S. Koch, P. Hermosilla, N. Vaskevicius, M. Colosi, and T. Ropinski

International Conference on 3D Vision (3DV) 2024

arXiv Bib HTML

@article{koch2024lang3dsg,
  title = {Lang3DSG: Language-based contrastive pre-training for 3D scene graph prediction},
  author = {Koch, S. and Hermosilla, P. and Vaskevicius, N. and Colosi, M. and Ropinski, T.},
  journal = {International Conference on 3D Vision (3DV)},
  year = {2024},
}

G-Style: Stylized Gaussian Splatting

A. S. Kovacs, P. Hermosilla, and R. G. Raidou

Computer Graphics Forum (Proc. Pacific Graphics) 2024

arXiv Bib Code

@article{kovacs2024gstyle,
  title = {G-Style: Stylized Gaussian Splatting},
  author = {Kovacs, A. S. and Hermosilla, P. and Raidou, R. G.},
  journal = {Computer Graphics Forum (Proc. Pacific Graphics)},
  year = {2024},
}

Surface-aware Mesh Texture Synthesis with Pre-trained 2D CNNs

A. S. Kovacs, P. Hermosilla, and R. G. Raidou

Computer Graphics Forum (Proc. Eurographics) 2024

arXiv Bib HTML Code

@article{kovacs2024meshtexsynth,
  title = {Surface-aware Mesh Texture Synthesis with Pre-trained 2D CNNs},
  author = {Kovacs, A. S. and Hermosilla, P. and Raidou, R. G.},
  journal = {Computer Graphics Forum (Proc. Eurographics)},
  year = {2024},
}

SGRec3D: Self-Supervised 3D Scene Graph Learning via Object-Level Scene Reconstruction

S. Koch, P. Hermosilla, N. Vaskevicius, M. Colosi, and T. Ropinski

Winter Conference on Applications of Computer Vision (WACV) 2024

arXiv Bib HTML

@article{koch2024sgrec3d,
  title = {SGRec3D: Self-Supervised 3D Scene Graph Learning via Object-Level Scene Reconstruction},
  author = {Koch, S. and Hermosilla, P. and Vaskevicius, N. and Colosi, M. and Ropinski, T.},
  journal = {Winter Conference on Applications of Computer Vision (WACV)},
  year = {2024},
}

FATE: Feature-Agnostic Transformer-Based Encoder for Learning Generalized Embedding Spaces in Flow Cytometry Data

L. Weijler, F. Kowarsch, M. Reiter, P. Hermosilla, M. Maurer-Granofszky, and M. Dworzak

Winter Conference on Applications of Computer Vision (WACV) 2024

arXiv Bib HTML
@article{weijler2024fate, author = {Weijler, L. and Kowarsch, F. and Reiter, M. and Hermosilla, P. and Maurer-Granofszky, M. and Dworzak, M.}, journal = {Winter Conference on Applications of Computer Vision (WACV)}, year = {2024}, }

PPSurf: Combining Patches and Point Convolutions for Detailed Surface Reconstruction

P. Erler, L. Fuentes-Perez, P. Hermosilla, P. Guerrero, R. Pajarola, and M. Wimmer

Computer Graphics Forum 2024

Bib HTML

@article{erler2024ppsurf,
  title = {PPSurf: Combining Patches and Point Convolutions for Detailed Surface Reconstruction},
  author = {Erler, P. and Fuentes-Perez, L. and Hermosilla, P. and Guerrero, P. and Pajarola, R. and Wimmer, M.},
  journal = {Computer Graphics Forum},
  year = {2024},
}

Weakly-Supervised Optical Flow Estimation for Time-of-Flight

M. Schelling, P. Hermosilla, and T. Ropinski

Winter Conference on Applications of Computer Vision (WACV) 2023

arXiv Bib Code

@article{shelling2023temptof,
  title = {Weakly-Supervised Optical Flow Estimation for Time-of-Flight},
  author = {Schelling, M. and Hermosilla, P. and Ropinski, T.},
  journal = {Winter Conference on Applications of Computer Vision (WACV)},
  year = {2023},
}

Variance-Aware Weight Initialization for Point Convolutional Neural Networks

P. Hermosilla, M. Schelling, T. Ritschel, and T. Ropinski

European Conference on Computer Vision (ECCV) 2022

arXiv Bib Code

@article{hermosilla2022variance,
  title = {Variance-Aware Weight Initialization for Point Convolutional Neural Networks},
  author = {Hermosilla, P. and Schelling, M. and Ritschel, T. and Ropinski, T.},
  journal = {European Conference on Computer Vision (ECCV) },
  year = {2022},
}

Clean Implicit 3D Structure from Noisy 2D STEM Images

H. Kniesel, T. Ropinski, T. Bergner, K. Shaga Devan, C. Read, P. Walther, T. Ritschel, and P. Hermosilla

Conference on Computer Vision and Pattern Recognition (CVPR) 2022

arXiv Bib Code

@article{kniesel2022em,
  title = {Clean Implicit 3D Structure from Noisy 2D STEM Images},
  author = {Kniesel, H. and Ropinski, T. and Bergner, T. and Shaga Devan, K. and Read, C. and Walther, P. and Ritschel, T. and Hermosilla, P.},
  journal = {Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

RADU: Ray-Aligned Depth Update Convolutions for ToF Data Denoising

M. Schelling, P. Hermosilla, and T. Ropinski

Conference on Computer Vision and Pattern Recognition (CVPR) 2022

arXiv Bib Code

@article{schelling2022radu,
  title = {RADU: Ray-Aligned Depth Update Convolutions for ToF Data Denoising},
  author = {Schelling, M. and Hermosilla, P. and Ropinski, T.},
  journal = {Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

Gaussian Mixture Convolution Networks

A. Celarek, P. Hermosilla, B. Kerbl, T. Ropinski, and M. Wimmer

International Conference on Learning Representations (ICLR) 2022

arXiv Bib HTML Code

@article{celarek2022gmc,
  title = {Gaussian Mixture Convolution Networks},
  author = {Celarek, A. and Hermosilla, P. and Kerbl, B. and Ropinski, T. and Wimmer, M.},
  journal = {International Conference on Learning Representations (ICLR)},
  year = {2022},
}

Contrastive Representation Learning for 3D Protein Structures

P. Hermosilla, and T. Ropinski

Pre-print 2022

arXiv Bib

@article{hermosilla2022contrastive,
  title = {Contrastive Representation Learning for 3D Protein Structures},
  author = {Hermosilla, P. and Ropinski, T.},
  journal = {Pre-print},
  year = {2022},
}

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

P. Hermosilla, M. Schaefer, M. Lang, G. Fackelmann, P.-P. Vazquez, B. Kozlikova, M. Krone, T. Ritschel, and T. Ropinski

International Conference on Learning Representations (ICLR) 2021

arXiv Bib HTML Code

@article{hermosilla2021ieconv,
  title = {Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures},
  author = {Hermosilla, P. and Schaefer, M. and Lang, M. and Fackelmann, G. and Vazquez, P.-P. and Kozlikova, B. and Krone, M. and Ritschel, T. and Ropinski, T.},
  journal = {International Conference on Learning Representations (ICLR)},
  year = {2021},
}

Enabling Viewpoint Learning through Dynamic Label Generation

M. Schelling, P. Hermosilla, and T. Ropinski

Computer Graphics Forum (Proc. Eurographics) 2021

arXiv Bib HTML Code

@article{schelling2021viewpoint,
  title = {Enabling Viewpoint Learning through Dynamic Label Generation},
  author = {Schelling, M. and Hermosilla, P. and Ropinski, T.},
  journal = {Computer Graphics Forum (Proc. Eurographics)},
  year = {2021},
}

Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning

P. Hermosilla, T. Ritschel, and T. Ropinski

International Conference on Computer Vision (ICCV) 2019

arXiv Bib HTML Code

@article{hermosilla2019denoising,
  title = {Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning},
  author = {Hermosilla, P. and Ritschel, T. and Ropinski, T.},
  journal = {International Conference on Computer Vision (ICCV)},
  year = {2019},
}

Deep-learning the Latent Space of Light Transport

P. Hermosilla, S. Maisch, T. Ritschel, and T. Ropinski

Computer Graphics Forum (Proc. EGSR) 2019

arXiv Bib HTML Code

@article{hermosilla2019light,
  title = {Deep-learning the Latent Space of Light Transport},
  author = {Hermosilla, P. and Maisch, S. and Ritschel, T. and Ropinski, T.},
  journal = {Computer Graphics Forum (Proc. EGSR)},
  year = {2019},
}

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

P. Hermosilla, T. Ritschel, P.-P. Vazquez, A. Vinacua, and T. Ropinski

ACM Transactions on Graphics (Proc. SIGGRAPH Asia) 2018

arXiv Bib HTML Code

@article{hermosilla2018mcconv,
  title = {Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point Clouds},
  author = {Hermosilla, P. and Ritschel, T. and Vazquez, P.-P. and Vinacua, A. and Ropinski, T.},
  journal = {ACM Transactions on Graphics (Proc. SIGGRAPH Asia)},
  year = {2018},
}