I am Assistant Professor in AI for Visual Computing at the Computer Vision Lab. 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.
Selected publications
- 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 - 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 - 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 - 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 - Gaussian Mixture Convolution Networks
A. Celarek, P. Hermosilla, B. Kerbl, T. Ropinski, and M. Wimmer.
International Conference on Learning Representations (ICLR) 2022 - Contrastive Representation Learning for 3D Protein Structures
P. Hermosilla, and T. Ropinski.
Pre-print 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 - Enabling Viewpoint Learning through Dynamic Label Generation
M. Schelling, P. Hermosilla, and T. Ropinski.
Computer Graphics Forum (Proc. Eurographics) 2021 - Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning
P. Hermosilla, T. Ritschel, and T. Ropinski.
International Conference on Computer Vision (ICCV) 2019 - Deep-learning the Latent Space of Light Transport
P. Hermosilla, S. Maisch, T. Ritschel, and T. Ropinski.
Computer Graphics Forum (Proc. EGSR) 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