Pedro Hermosilla

82 papers A* 9A 4Journal 56Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	TreeON: Reconstructing 3D Tree Point Clouds from Orthophotos and Heightmaps. CoRR Angeliki Grammatikaki, Johannes Eschner, Pedro Hermosilla, Oscar Argudo, Manuela Waldner
2025	J	`jnl`	Active Learning Inspired ControlNet Guidance for Augmenting Semantic Segmentation Datasets. CoRR Hannah Kniesel, Pedro Hermosilla, Timo Ropinski
2025	A	`conf`	Attention-Guided Masked Autoencoders for Learning Image Representations. WACV Leon Sick, Dominik Engel, Pedro Hermosilla, Timo Ropinski
2025	—	`conf`	Efficient Continuous Group Convolutions for Local SE(3) Equivariance in 3D Point Clouds. 3DV Lisa Weijler, Pedro Hermosilla
2025	J	`jnl`	Efficient Continuous Group Convolutions for Local SE(3) Equivariance in 3D Point Clouds. CoRR Lisa Weijler, Pedro Hermosilla
2025	—	`conf`	Exploring Modality Guidance to Enhance VFM-based Feature Fusion for UDA in 3D Semantic Segmentation. CVPR Workshops Johannes Spöcklberger, Wei Lin, Pedro Hermosilla, Sivan Doveh, Horst Possegger, Muhammad Jehanzeb Mirza
2025	J	`jnl`	Exploring Modality Guidance to Enhance VFM-based Feature Fusion for UDA in 3D Semantic Segmentation. CoRR Johannes Spöcklberger, Wei Lin, Pedro Hermosilla, Sivan Doveh, Horst Possegger, Muhammad Jehanzeb Mirza
2025	—	`conf`	From Natural to Nanoscale: Training ControlNet on Scarce FIB-SEM Data for Augmenting Semantic Segmentation Data. ICCVW Hannah Kniesel, Pascal Rapp, Pedro Hermosilla, Timo Ropinski
2025	J	`jnl`	HPSCAN: Human Perception-Based Scattered Data Clustering. Comput. Graph. Forum Sebastian Hartwig, Christian van Onzenoodt, Dominik Engel, Pedro Hermosilla, Timo Ropinski
2025	J	`jnl`	Language-guided 3D scene synthesis for fine-grained functionality understanding. CoRR Jaime Corsetti, Francesco Giuliari, Davide Boscaini, Pedro Hermosilla, Andrea Pilzer, Guofeng Mei, Alexandros Delitzas, Francis Engelmann, Fabio Poiesi
2025	J	`jnl`	Marching Neurons: Accurate Surface Extraction for Neural Implicit Shapes. CoRR Christian Stippel, Felix Mujkanovic, Thomas Leimkühler, Pedro Hermosilla
2025	J	`jnl`	Marching Neurons: Accurate Surface Extraction for Neural Implicit Shapes. ACM Trans. Graph. Christian Stippel, Felix Mujkanovic, Thomas Leimkühler, Pedro Hermosilla
2025	A*	`conf`	Masked Scene Modeling: Narrowing the Gap Between Supervised and Self-Supervised Learning in 3D Scene Understanding. CVPR Pedro Hermosilla, Christian Stippel, Leon Sick
2025	J	`jnl`	Masked Scene Modeling: Narrowing the Gap Between Supervised and Self-Supervised Learning in 3D Scene Understanding. CoRR Pedro Hermosilla, Christian Stippel, Leon Sick
2025	J	`jnl`	OpenHype: Hyperbolic Embeddings for Hierarchical Open-Vocabulary Radiance Fields. CoRR Lisa Weijler, Sebastian Koch, Fabio Poiesi, Timo Ropinski, Pedro Hermosilla
2025	A*	`conf`	RelationField: Relate Anything in Radiance Fields. CVPR Sebastian Koch, Johanna Wald, Mirco Colosi, Narunas Vaskevicius, Pedro Hermosilla, Federico Tombari, Timo Ropinski
2025	J	`jnl`	S2D: Sparse-To-Dense Keymask Distillation for Unsupervised Video Instance Segmentation. CoRR Leon Sick, Lukas Hoyer, Dominik Engel, Pedro Hermosilla, Timo Ropinski
2025	J	`jnl`	Style Brush: Guided Style Transfer for 3D Objects. CoRR Áron Samuel Kovács, Pedro Hermosilla, Renata G. Raidou
2025	—	`conf`	TTT-KD: Test-Time Training for 3D Semantic Segmentation Through Knowledge Distillation From Foundation Models. 3DV Lisa Weijler, Muhammad Jehanzeb Mirza, Leon Sick, Can Ekkazan, Pedro Hermosilla
2025	J	`jnl`	Unified Semantic Transformer for 3D Scene Understanding. CoRR Sebastian Koch, Johanna Wald, Hidenobu Matsuki, Pedro Hermosilla, Timo Ropinski, Federico Tombari
2024	J	`jnl`	Attention-Guided Masked Autoencoders For Learning Image Representations. CoRR Leon Sick, Dominik Engel, Pedro Hermosilla, Timo Ropinski
2024	J	`jnl`	CutS3D: Cutting Semantics in 3D for 2D Unsupervised Instance Segmentation. CoRR Leon Sick, Dominik Engel, Sebastian Hartwig, Pedro Hermosilla, Timo Ropinski
2024	A	`conf`	FATE: Feature-Agnostic Transformer-based Encoder for learning generalized embedding spaces in flow cytometry data. WACV Lisa Weijler, Florian Kowarsch, Michael Reiter, Pedro Hermosilla, Margarita Maurer-Granofszky, Michael N. Dworzak
2024	J	`jnl`	G-Style: Stylized Gaussian Splatting. CoRR Áron Samuel Kovács, Pedro Hermosilla, Renata G. Raidou
2024	—	`conf`	Lang3DSG: Language-based contrastive pre-training for 3D Scene Graph prediction. 3DV Sebastian Koch, Pedro Hermosilla, Narunas Vaskevicius, Mirco Colosi, Timo Ropinski
2024	—	`conf`	On the Importance of Local and Global Feature Learning for Automated Measurable Residual Disease Detection in Flow Cytometry Data. ICPR (12) Lisa Weijler, Michael Reiter, Pedro Hermosilla, Margarita Maurer-Granofszky, Michael N. Dworzak
2024	J	`jnl`	On the importance of local and global feature learning for automated measurable residual disease detection in flow cytometry data. CoRR Lisa Weijler, Michael Reiter, Pedro Hermosilla, Margarita Maurer-Granofszky, Michael N. Dworzak
2024	A*	`conf`	Open3DSG: Open-Vocabulary 3D Scene Graphs from Point Clouds with Queryable Objects and Open-Set Relationships. CVPR Sebastian Koch, Narunas Vaskevicius, Mirco Colosi, Pedro Hermosilla, Timo Ropinski
2024	J	`jnl`	Open3DSG: Open-Vocabulary 3D Scene Graphs from Point Clouds with Queryable Objects and Open-Set Relationships. CoRR Sebastian Koch, Narunas Vaskevicius, Mirco Colosi, Pedro Hermosilla, Timo Ropinski
2024	J	`jnl`	PPSURF: Combining Patches and Point Convolutions for Detailed Surface Reconstruction. CoRR Philipp Erler, Lizeth J. Fuentes Perez, Pedro Hermosilla, Paul Guerrero, Renato Pajarola, Michael Wimmer
2024	J	`jnl`	PPSurf: Combining Patches and Point Convolutions for Detailed Surface Reconstruction. Comput. Graph. Forum Philipp Erler, Lizeth J. Fuentes Perez, Pedro Hermosilla, Paul Guerrero, Renato Pajarola, Michael Wimmer
2024	J	`jnl`	RelationField: Relate Anything in Radiance Fields. CoRR Sebastian Koch, Johanna Wald, Mirco Colosi, Narunas Vaskevicius, Pedro Hermosilla, Federico Tombari, Timo Ropinski
2024	A	`conf`	SGRec3D: Self-Supervised 3D Scene Graph Learning via Object-Level Scene Reconstruction. WACV Sebastian Koch, Pedro Hermosilla, Narunas Vaskevicius, Mirco Colosi, Timo Ropinski
2024	J	`jnl`	Surface-aware Mesh Texture Synthesis with Pre-trained 2D CNNs. Comput. Graph. Forum Áron Samuel Kovács, Pedro Hermosilla, Renata G. Raidou
2024	J	`jnl`	Surface-aware Mesh Texture Synthesis with Pre-trained 2D CNNs. CoRR Áron Samuel Kovács, Pedro Hermosilla, Renata G. Raidou
2024	J	`jnl`	TTT-KD: Test-Time Training for 3D Semantic Segmentation through Knowledge Distillation from Foundation Models. CoRR Lisa Weijler, Muhammad Jehanzeb Mirza, Leon Sick, Can Ekkazan, Pedro Hermosilla
2024	A*	`conf`	Unsupervised Semantic Segmentation Through Depth-Guided Feature Correlation and Sampling. CVPR Leon Sick, Dominik Engel, Pedro Hermosilla, Timo Ropinski
2024	A*	`conf`	Weakly Supervised Virus Capsid Detection with Image-Level Annotations in Electron Microscopy Images. ICLR Hannah Kniesel, Leon Sick, Tristan Payer, Tim Bergner, Kavitha Shaga Devan, Clarissa Read, Paul Walther, Timo Ropinski, Pedro Hermosilla
2023	J	`jnl`	ClusterNet: A Perception-Based Clustering Model for Scattered Data. CoRR Sebastian Hartwig, Christian van Onzenoodt, Pedro Hermosilla, Timo Ropinski
2023	J	`jnl`	FATE: Feature-Agnostic Transformer-based Encoder for learning generalized embedding spaces in flow cytometry data. CoRR Lisa Weijler, Florian Kowarsch, Michael Reiter, Pedro Hermosilla, Margarita Maurer-Granofszky, Michael N. Dworzak
2023	J	`jnl`	Lang3DSG: Language-based contrastive pre-training for 3D Scene Graph prediction. CoRR Sebastian Koch, Pedro Hermosilla, Narunas Vaskevicius, Mirco Colosi, Timo Ropinski
2023	J	`jnl`	Point Neighborhood Embeddings. CoRR Pedro Hermosilla
2023	J	`jnl`	SGRec3D: Self-Supervised 3D Scene Graph Learning via Object-Level Scene Reconstruction. CoRR Sebastian Koch, Pedro Hermosilla, Narunas Vaskevicius, Mirco Colosi, Timo Ropinski
2023	J	`jnl`	Spatially Guiding Unsupervised Semantic Segmentation Through Depth-Informed Feature Distillation and Sampling. CoRR Leon Sick, Dominik Engel, Pedro Hermosilla, Timo Ropinski
2023	A	`conf`	Weakly-Supervised Optical Flow Estimation for Time-of-Flight. WACV Michael Schelling, Pedro Hermosilla, Timo Ropinski
2022	A*	`conf`	Clean Implicit 3D Structure from Noisy 2D STEM Images. CVPR Hannah Kniesel, Timo Ropinski, Tim Bergner, Kavitha Shaga Devan, Clarissa Read, Paul Walther, Tobias Ritschel, Pedro Hermosilla
2022	J	`jnl`	Clean Implicit 3D Structure from Noisy 2D STEM Images. CoRR Hannah Kniesel, Timo Ropinski, Tim Bergner, Kavitha Shaga Devan, Clarissa Read, Paul Walther, Tobias Ritschel, Pedro Hermosilla
2022	J	`jnl`	Contrastive Representation Learning for 3D Protein Structures. CoRR Pedro Hermosilla, Timo Ropinski
2022	A*	`conf`	Gaussian Mixture Convolution Networks. ICLR Adam Celarek, Pedro Hermosilla, Bernhard Kerbl, Timo Ropinski, Michael Wimmer
2022	J	`jnl`	Gaussian Mixture Convolution Networks. CoRR Adam Celarek, Pedro Hermosilla, Bernhard Kerbl, Timo Ropinski, Michael Wimmer
2022	J	`jnl`	Learning Human Viewpoint Preferences from Sparsely Annotated Models. Comput. Graph. Forum Sebastian Hartwig, Michael Schelling, Christian van Onzenoodt, Pere-Pau Vázquez, Pedro Hermosilla, Timo Ropinski
2022	A*	`conf`	RADU: Ray-Aligned Depth Update Convolutions for ToF Data Denoising. CVPR Michael Schelling, Pedro Hermosilla, Timo Ropinski
2022	—	`conf`	Variance-Aware Weight Initialization for Point Convolutional Neural Networks. ECCV (28) Pedro Hermosilla, Michael Schelling, Tobias Ritschel, Timo Ropinski
2022	J	`jnl`	Weakly-Supervised Optical Flow Estimation for Time-of-Flight. CoRR Michael Schelling, Pedro Hermosilla, Timo Ropinski
2021	J	`jnl`	Data-driven deep density estimation. CoRR Patrik Puchert, Pedro Hermosilla, Tobias Ritschel, Timo Ropinski
2021	J	`jnl`	Data-driven deep density estimation. Neural Comput. Appl. Patrik Puchert, Pedro Hermosilla, Tobias Ritschel, Timo Ropinski
2021	J	`jnl`	Enabling Viewpoint Learning through Dynamic Label Generation. Comput. Graph. Forum Michael Schelling, Pedro Hermosilla, Pere-Pau Vázquez, Timo Ropinski
2021	A*	`conf`	Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures. ICLR Pedro Hermosilla, Marco Schäfer, Matej Lang, Gloria Fackelmann, Pere-Pau Vázquez, Barbora Kozlíková, Michael Krone, Tobias Ritschel, Timo Ropinski
2021	J	`jnl`	RADU: Ray-Aligned Depth Update Convolutions for ToF Data Denoising. CoRR Michael Schelling, Pedro Hermosilla, Timo Ropinski
2021	J	`jnl`	Variance-Aware Weight Initialization for Point Convolutional Neural Networks. CoRR Pedro Hermosilla, Michael Schelling, Tobias Ritschel, Timo Ropinski
2021	J	`jnl`	Void Space Surfaces to Convey Depth in Vessel Visualizations. IEEE Trans. Vis. Comput. Graph. Julian Kreiser, Pedro Hermosilla, Timo Ropinski
2020	J	`jnl`	Enabling Viewpoint Learning through Dynamic Label Generation. CoRR Michael Schelling, Pedro Hermosilla, Pere-Pau Vázquez, Timo Ropinski
2020	J	`jnl`	ProteiNN: Intrinsic-Extrinsic Convolution and Pooling for Scalable Deep Protein Analysis. CoRR Pedro Hermosilla, Marco Schäfer, Matej Lang, Gloria Fackelmann, Pere-Pau Vázquez, Barbora Kozlíková, Michael Krone, Tobias Ritschel, Timo Ropinski
2020	—	`conf`	Real-Time Visualization of 3D Amyloid-Beta Fibrils from 2D Cryo-EM Density Maps. VCBM Hannah Kniesel, Timo Ropinski, Pedro Hermosilla
2019	J	`jnl`	Deep-learning the Latent Space of Light Transport. Comput. Graph. Forum Pedro Hermosilla, Sebastian Maisch, Tobias Ritschel, Timo Ropinski
2019	J	`jnl`	Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning. CoRR Pedro Hermosilla, Tobias Ritschel, Timo Ropinski
2019	J	`jnl`	Visualization of Large Molecular Trajectories. IEEE Trans. Vis. Comput. Graph. David Duran, Pedro Hermosilla, Timo Ropinski, Barbora Kozlíková, Àlvar Vinacua, Pere-Pau Vázquez
2018	J	`jnl`	A General Illumination Model for Molecular Visualization. Comput. Graph. Forum Pedro Hermosilla, Pere-Pau Vázquez, Àlvar Vinacua, Timo Ropinski
2018	J	`jnl`	Deep-learning the Latent Space of Light Transport. CoRR Pedro Hermosilla, Sebastian Maisch, Tobias Ritschel, Timo Ropinski
2018	—	`conf`	Improving Perception of Molecular Surface Visualizations by Incorporating Translucency Effects. VCBM@MICCAI Pedro Hermosilla, Sebastian Maisch, Pere-Pau Vázquez, Timo Ropinski
2018	J	`jnl`	Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point Clouds. CoRR Pedro Hermosilla, Tobias Ritschel, Pere-Pau Vázquez, Àlvar Vinacua, Timo Ropinski
2018	J	`jnl`	Monte Carlo convolution for learning on non-uniformly sampled point clouds. ACM Trans. Graph. Pedro Hermosilla, Tobias Ritschel, Pere-Pau Vázquez, Àlvar Vinacua, Timo Ropinski
2018	J	`jnl`	Visual Analysis of protein-ligand interactions. Comput. Graph. Forum Pere-Pau Vázquez, Pedro Hermosilla, Victor Guallar, Jorge Estrada, Àlvar Vinacua
2018	J	`jnl`	Void Space Surfaces to Convey Depth in Vessel Visualizations. CoRR Julian Kreiser, Pedro Hermosilla, Timo Ropinski
2017	—	`—`	Advanced inspection techniques for molecular simulations. Pedro Hermosilla
2017	J	`jnl`	Interactive GPU-based generation of solvent-excluded surfaces. Vis. Comput. Pedro Hermosilla, Michael Krone, Victor Guallar, Pere-Pau Vázquez, Àlvar Vinacua, Timo Ropinski
2017	J	`jnl`	Physics-Based Visual Characterization of Molecular Interaction Forces. IEEE Trans. Vis. Comput. Graph. Pedro Hermosilla, Jorge Estrada, Victor Guallar, Timo Ropinski, Àlvar Vinacua, Pere-Pau Vázquez
2016	J	`jnl`	High quality illustrative effects for molecular rendering. Comput. Graph. Pedro Hermosilla, Victor Guallar, Àlvar Vinacua, Pere-Pau Vázquez
2016	J	`jnl`	Interactive inspection of complex multi-object industrial assemblies. Comput. Aided Des. Oscar Argudo, Isaac Besora, Pere Brunet, Carles Creus, Pedro Hermosilla, Isabel Navazo, Àlvar Vinacua
2015	—	`conf`	Instant Visualization of Secondary Structures of Molecular Models. VCBM Pedro Hermosilla, Victor Guallar, Àlvar Vinacua, Pere-Pau Vázquez
2012	—	`conf`	Uncertainty Visualization of Brain Fibers. CEIG Pedro Hermosilla, Ralph Brecheisen, Pere-Pau Vázquez, Anna Vilanova
2010	—	`ch.`	NPR Effects Using the Geometry Shader. GPU Pro Pedro Hermosilla, Pere-Pau Vázquez