Hermosilla, Pedro

17 publications

WACV 2025 Attention-Guided Masked Autoencoders for Learning Image Representations Leon Sick, Dominik Engel, Pedro Hermosilla, Timo Ropinski

ICCV 2025 CutS3D: Cutting Semantics in 3D for 2D Unsupervised Instance Segmentation Leon Sick, Dominik Engel, Sebastian Hartwig, Pedro Hermosilla, Timo Ropinski

CVPRW 2025 Exploring Modality Guidance to Enhance VFM-Based Feature Fusion for UDA in 3D Semantic Segmentation Johannes Spöcklberger, Wei Lin, Pedro Hermosilla, Sivan Doveh, Horst Possegger, Muhammad Jehanzeb Mirza

CVPR 2025 Masked Scene Modeling: Narrowing the Gap Between Supervised and Self-Supervised Learning in 3D Scene Understanding Pedro Hermosilla, Christian Stippel, Leon Sick

NeurIPS 2025 OpenHype: Hyperbolic Embeddings for Hierarchical Open-Vocabulary Radiance Fields Lisa Weijler, Sebastian Koch, Fabio Poiesi, Timo Ropinski, Pedro Hermosilla

CVPR 2025 RelationField: Relate Anything in Radiance Fields Sebastian Koch, Johanna Wald, Mirco Colosi, Narunas Vaskevicius, Pedro Hermosilla, Federico Tombari, Timo Ropinski

WACV 2024 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 Dworzak

CVPR 2024 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

WACV 2024 SGRec3D: Self-Supervised 3D Scene Graph Learning via Object-Level Scene Reconstruction Sebastian Koch, Pedro Hermosilla, Narunas Vaskevicius, Mirco Colosi, Timo Ropinski

CVPR 2024 Unsupervised Semantic Segmentation Through Depth-Guided Feature Correlation and Sampling Leon Sick, Dominik Engel, Pedro Hermosilla, Timo Ropinski

ICLR 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

WACV 2023 Weakly-Supervised Optical Flow Estimation for Time-of-Flight Michael Schelling, Pedro Hermosilla, Timo Ropinski

CVPR 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

ICLR 2022 Gaussian Mixture Convolution Networks Adam Celarek, Pedro Hermosilla, Bernhard Kerbl, Timo Ropinski, Michael Wimmer

CVPR 2022 RADU: Ray-Aligned Depth Update Convolutions for ToF Data Denoising Michael Schelling, Pedro Hermosilla, Timo Ropinski

ECCV 2022 Variance-Aware Weight Initialization for Point Convolutional Neural Networks Pedro Hermosilla, Michael Schelling, Tobias Ritschel, Timo Ropinski

ICLR 2021 Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures Pedro Hermosilla, Marco Schäfer, Matej Lang, Gloria Fackelmann, Pere-Pau Vázquez, Barbora Kozlikova, Michael Krone, Tobias Ritschel, Timo Ropinski