Publications

2025

  1. TTT-KD: Test-Time Training for 3D Semantic Segmentation through Knowledge Distillation from Foundation Models
    L. Weijler, M. J. Mirza, L. Sick, C. Ekkazan, and P. Hermosilla
    International Conference on 3D Vision (3DV) 2025
  2. Efficient Continuous Group Convolutions for Local SE(3) Equivariance in 3D Point Clouds
    L. Weijler, and P. Hermosilla
    International Conference on 3D Vision (3DV) 2025
  3. Attention-Guided Masked Autoencoders For Learning Image Representations
    L. Sick, D. Engel,  P. Hermosilla, and T. Ropinski
    Winter Conference on Applications of Computer Vision (WACV) 2025
  4. CutS3D: Cutting Semantics in 3D for 2D Unsupervised Instance Segmentation
    L. Sick, D. Engel, S. Hartwig,  P. Hermosilla, and T. Ropinski
    Pre-print 2025

2024

  1. 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
  2. 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
  3. 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
  4. 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
  5. G-Style: Stylized Gaussian Splatting
    A. S. Kovacs,  P. Hermosilla, and R. G. Raidou
    Computer Graphics Forum (Proc. Pacific Graphics) 2024
  6. 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
  7. 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
  8. 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
  9. 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
  10. On the importance of local and global feature learning for automated measurable residual disease detection in flow cytometry data
    L. Weijler, M. Reiter,  P. Hermosilla, M. Maurer-Granofszky, and M. Dworzak
    International Conference on Pattern Recognition (ICPR) 2024

2023

  1. 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
  2. Point Neighborhood Embeddings
    P. Hermosilla
    Pre-print 2023

2022

  1. 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
  2. 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
  3. 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
  4. Gaussian Mixture Convolution Networks
    A. Celarek,  P. Hermosilla, B. Kerbl, T. Ropinski, and M. Wimmer
    International Conference on Learning Representations (ICLR) 2022
  5. Learning Human Viewpoint Preferences from Sparsely Annotated Models
    S. Hartwig, M. Schelling, C. v. Onzenoodt, P.-P. Vázquez,  P. Hermosilla, and T. Ropinski
    Computer Graphics Forum 2022
  6. Contrastive Representation Learning for 3D Protein Structures
    P. Hermosilla, and T. Ropinski
    Pre-print 2022

2021

  1. 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
  2. Enabling Viewpoint Learning through Dynamic Label Generation
    M. Schelling,  P. Hermosilla, and T. Ropinski
    Computer Graphics Forum (Proc. Eurographics) 2021
  3. Data-Driven Deep Density Estimation
    P. Puchert,  P. Hermosilla, T. Ritschel, and T. Ropinski
    Neural Computing and Applications 2021

2020

  1. Void Space Surfaces to Convey Depth in Vessel Visualization
    J. Kreiser,  P. Hermosilla, and T. Ropinski
    IEEE Transactions on Visualization and Computer Graphics 2020
  2. Real-Time Visualization of 3D Amyloid-Beta Fibrils from 2D Cryo-EM Density Maps
    H. Kniesel, T. Ropinski, and P. Hermosilla
    Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM) 2020

2019

  1. Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning
    P. Hermosilla, T. Ritschel, and T. Ropinski
    International Conference on Computer Vision (ICCV) 2019
  2. Deep-learning the Latent Space of Light Transport
    P. Hermosilla, S. Maisch, T. Ritschel, and T. Ropinski
    Computer Graphics Forum (Proc. EGSR) 2019
  3. Visualization of Large Molecular Trajectories
    D. Duran,  P. Hermosilla, T. Ropinski, B. Kozlikova, A. Vinacua, and P.-P. Vazquez
    IEEE Transactions on Visualization and Computer Graphics (Proc. IEEEVis) 2019

2018

  1. 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
  2. A General Illumination Model for Molecular Visualization
    P. Hermosilla, P.-P. Vazquez, A. Vinacua, and T. Ropinski
    Computer Graphics Forum (Proc. EuroVis) 2018
  3. Visual Analysis of Protein-Ligand Interactions
    P.-P. Vazquez,  P. Hermosilla, V. Guallar, J. Estrada, and A. Vinacua
    Computer Graphics Forum (Proc. EuroVis) 2018
  4. Improving Perception of Molecular Surface Visualization by Incorporating Translucency Effects
    P. Hermosilla, S. Maisch, P.-P. Vazquez, and T. Ropinski
    Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM) 2018

2017

  1. Physics-Based Visual Characterization of Molecular Interaction Forces
    P. Hermosilla, J. Estrada, V. Guallar, T. Ropinski, A. Vinacua, and P.-P. Vazquez
    IEEE Transactions on Visualization and Computer Graphics (Proc. IEEEVis) 2017
  2. Interactive GPU-based Generation of Solvent-Excluded Surfaces
    P. Hermosilla, M. Krone, V. Guallar, P.-P. Vazquez, A. Vinacua, and T. Ropinski
    The Visual Computer 2017

2016

  1. High Quality Illustrative Effects for Molecular Rendering
    P. Hermosilla, V. Guallar, A. Vinacua, and P.-P. Vazquez
    Computer & Graphics 2016
  2. Interactive Inspection of Complex Multi-Object Industrial Assemblies
    O. Argudo, I. Besora, P. Brunet, C. Creus,  P. Hermosilla, I. Navazo, and A. Vinacua
    Computer Aided-Design 2016

2015

  1. Instant Visualization of Secondary Structures of Molecular Models
    P. Hermosilla, V. Guallar, A. Vinacua, and P.-P. Vazquez
    Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM) 2015

2010

  1. NPR Techniques on the Geometry Shader
    P. Hermosilla, and P.-P. Vazquez
    GPU Pro, Chapter 3: Rendering Techniques 2010

2009

  1. Single Pass GPU Stylized Edges
    P. Hermosilla, and P.-P. Vazquez
    Iberoamerican Symposium in Computer Graphics 2009