Pedro Hermosilla
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
6
Active years
2021–2025
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | Masked Scene Modeling: Narrowing the Gap Between Supervised and Self-Supervised Learning in 3D Scene Understanding. | Pedro Hermosilla, Christian Stippel, Leon Sick |
| 2025 | CVPR | RelationField: Relate Anything in Radiance Fields. | Sebastian Koch, Johanna Wald, Mirco Colosi, Narunas Vaskevicius, Pedro Hermosilla, Federico Tombari, Timo Ropinski |
| 2025 | CVPR | Exploring Modality Guidance to Enhance VFM-based Feature Fusion for UDA in 3D Semantic Segmentation. | Johannes Spcklberger, Wei Lin, Pedro Hermosilla, Sivan Doveh, Horst Possegger, Muhammad Jehanzeb Mirza |
| 2025 | ICCV | From Natural to Nanoscale: Training ControlNet on Scarce FIB-SEM Data for Augmenting Semantic Segmentation Data. | Hannah Kniesel, Pascal Rapp, Pedro Hermosilla, Timo Ropinski |
| 2025 | ICCV | CutS3D: Cutting Semantics in 3D for 2D Unsupervised Instance Segmentation. | Leon Sick, Dominik Engel, Sebastian Hartwig, Pedro Hermosilla, Timo Ropinski |
| 2025 | WACV | Attention-Guided Masked Autoencoders for Learning Image Representations. | Leon Sick, Dominik Engel, Pedro Hermosilla, Timo Ropinski |
| 2024 | CVPR | 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 |
| 2024 | CVPR | Unsupervised Semantic Segmentation Through Depth-Guided Feature Correlation and Sampling. | Leon Sick, Dominik Engel, Pedro Hermosilla, Timo Ropinski |
| 2024 | ICLR | 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 |
| 2024 | ICPR | On the Importance of Local and Global Feature Learning for Automated Measurable Residual Disease Detection in Flow Cytometry Data. | Lisa Weijler, Michael Reiter, Pedro Hermosilla, Margarita Maurer-Granofszky, Michael N. Dworzak |
| 2024 | WACV | SGRec3D: Self-Supervised 3D Scene Graph Learning via Object-Level Scene Reconstruction. | Sebastian Koch, Pedro Hermosilla, Narunas Vaskevicius, Mirco Colosi, Timo Ropinski |
| 2024 | WACV | FATE: Feature-Agnostic Transformer-based Encoder for learning generalized embedding spaces in flow cytometry data. | Lisa Weijler, Florian Kowarsch, Michael Reiter, Pedro Hermosilla, Margarita Maurer-Granofszky, Michael N. Dworzak |
| 2023 | WACV | Weakly-Supervised Optical Flow Estimation for Time-of-Flight. | Michael Schelling, Pedro Hermosilla, Timo Ropinski |
| 2022 | CVPR | 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 |
| 2022 | CVPR | RADU: Ray-Aligned Depth Update Convolutions for ToF Data Denoising. | Michael Schelling, Pedro Hermosilla, Timo Ropinski |
| 2022 | ECCV | Variance-Aware Weight Initialization for Point Convolutional Neural Networks. | Pedro Hermosilla, Michael Schelling, Tobias Ritschel, Timo Ropinski |
| 2022 | ICLR | Gaussian Mixture Convolution Networks. | Adam Celarek, Pedro Hermosilla, Bernhard Kerbl, Timo Ropinski, Michael Wimmer |
| 2021 | ICLR | Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures. | Pedro Hermosilla, Marco Schfer, Matej Lang, Gloria Fackelmann, Pere-Pau Vzquez, Barbora Kozlkov, Michael Krone, Tobias Ritschel, Timo Ropinski |