Davide Boscaini

68 papers A* 3A 3B 4Misc 1Journal 38Unranked 19
YearRankTypeTitle / Venue / Authors
2026 J jnl
Generative 6D Pose Estimation via Conditional Flow Matching.
CoRR
Amir Hamza, Davide Boscaini, Weihang Li, Benjamin Busam, Fabio Poiesi
2026 J jnl
High-Resolution Open-Vocabulary Object 6D Pose Estimation.
IEEE Trans. Pattern Anal. Mach. Intell.
Jaime Corsetti, Davide Boscaini, Francesco Giuliari, Changjae Oh, Andrea Cavallaro, Fabio Poiesi
2025 A conf
3D Part Segmentation via Geometric Aggregation of 2D Visual Features.
WACV
Marco Garosi, Riccardo Tedoldi, Davide Boscaini, Massimiliano Mancini, Nicu Sebe, Fabio Poiesi
2025 Misc conf
AI-Driven Visual Monitoring of Industrial Assembly Tasks.
ICIAP
Mattia Nardon, Stefano Messelodi, Antonio Granata, Fabio Poiesi, Alberto Danese, Davide Boscaini
2025 J jnl
AI-driven visual monitoring of industrial assembly tasks.
CoRR
Mattia Nardon, Stefano Messelodi, Antonio Granata, Fabio Poiesi, Alberto Danese, Davide Boscaini
2025 J jnl
Accurate and efficient zero-shot 6D pose estimation with frozen foundation models.
CoRR
Andrea Caraffa, Davide Boscaini, Fabio Poiesi
2025 J jnl
CHIP: A multi-sensor dataset for 6D pose estimation of chairs in industrial settings.
CoRR
Mattia Nardon, Mikel Mujika Agirre, Ander González Tomé, Daniel Sedano Algarabel, Josep Rueda Collell, Ana Paola Caro, Andrea Caraffa, Fabio Poiesi, Paul Chippendale, Davide Boscaini
2025 A conf
Distilling 3D distinctive local descriptors for 6D pose estimation.
IROS
Amir Hamza, Andrea Caraffa, Davide Boscaini, Fabio Poiesi
2025 J jnl
Distilling 3D distinctive local descriptors for 6D pose estimation.
CoRR
Amir Hamza, Andrea Caraffa, Davide Boscaini, Fabio Poiesi
2025 A* conf
Functionality Understanding and Segmentation in 3D Scenes.
CVPR
Jaime Corsetti, Francesco Giuliari, Alice Fasoli, Davide Boscaini, Fabio Poiesi
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
Leveraging Confident Image Regions for Source-Free Domain-Adaptive Object Detection.
CoRR
Mohamed Lamine Mekhalfi, Davide Boscaini, Fabio Poiesi
2024 J jnl
3D Part Segmentation via Geometric Aggregation of 2D Visual Features.
CoRR
Marco Garosi, Riccardo Tedoldi, Davide Boscaini, Massimiliano Mancini, Nicu Sebe, Fabio Poiesi
2024 — conf
Enabling Seamless HRC Integration: The AI-PRISM Reference Architecture.
I-ESA Workshops
Miguel A. Mateo-Casalí, Josep Rueda, Samuel Olaiya Afolaranmi, José Luis Martínez Lastra, Davide Boscaini, Laura Moya-Ruiz, Francisco Fraile
2024 — conf
Exploring Fine-Grained Retail Product Discrimination with Zero-Shot Object Classification Using Vision-Language Models.
RTSI
Anil Osman Tur, Alessandro Conti, Cigdem Beyan, Davide Boscaini, Roberto Larcher, Stefano Messelodi, Fabio Poiesi, Elisa Ricci
2024 J jnl
Exploring Fine-grained Retail Product Discrimination with Zero-shot Object Classification Using Vision-Language Models.
CoRR
Anil Osman Tur, Alessandro Conti, Cigdem Beyan, Davide Boscaini, Roberto Larcher, Stefano Messelodi, Fabio Poiesi, Elisa Ricci
2024 — conf
FreeZe: Training-Free Zero-Shot 6D Pose Estimation with Geometric and Vision Foundation Models.
ECCV (75)
Andrea Caraffa, Davide Boscaini, Amir Hamza, Fabio Poiesi
2024 J jnl
Functionality understanding and segmentation in 3D scenes.
CoRR
Jaime Corsetti, Francesco Giuliari, Alice Fasoli, Davide Boscaini, Fabio Poiesi
2024 J jnl
High-resolution open-vocabulary object 6D pose estimation.
CoRR
Jaime Corsetti, Davide Boscaini, Francesco Giuliari, Changjae Oh, Andrea Cavallaro, Fabio Poiesi
2024 A* conf
Open-vocabulary object 6D pose estimation.
CVPR
Jaime Corsetti, Davide Boscaini, Changjae Oh, Andrea Cavallaro, Fabio Poiesi
2024 — conf
Towards More Effective Human-Robot Collaboration via Accurate Pose Estimation.
ERF (2)
Miguel A. Mateo-Casalí, Laura Moya-Ruiz, Andrea Caraffa, Davide Boscaini, Amir Hamza, Paul Chippendale, Fabio Poiesi, Francisco Fraile
2024 — conf
Wild Berry Image Dataset Collected in Finnish Forests and Peatlands Using Drones.
ECCV Workshops (3)
Luigi Riz, Sergio Povoli, Andrea Caraffa, Davide Boscaini, Mohamed Lamine Mekhalfi, Paul Chippendale, Marjut Turtiainen, Birgitta Partanen, Laura Smith Ballester, Juan Fco. Blanes Noguera, Alessio Franchi, Elisa Castelli, Giacomo Piccinini, Luca Marchesotti, Micael Santos Couceiro, Fabio Poiesi
2024 J jnl
Wild Berry image dataset collected in Finnish forests and peatlands using drones.
CoRR
Luigi Riz, Sergio Povoli, Andrea Caraffa, Davide Boscaini, Mohamed Lamine Mekhalfi, Paul Chippendale, Marjut Turtiainen, Birgitta Partanen, Laura Smith Ballester, J. Francisco Blanes Noguera, Alessio Franchi, Elisa Castelli, Giacomo Piccinini, Luca Marchesotti, Micael Santos Couceiro, Fabio Poiesi
2023 A conf
Detect, Augment, Compose, and Adapt: Four Steps for Unsupervised Domain Adaptation in Object Detection.
BMVC
Mohamed Lamine Mekhalfi, Davide Boscaini, Fabio Poiesi
2023 J jnl
Detect, Augment, Compose, and Adapt: Four Steps for Unsupervised Domain Adaptation in Object Detection.
CoRR
Mohamed Lamine Mekhalfi, Davide Boscaini, Fabio Poiesi
2023 J jnl
Learning General and Distinctive 3D Local Deep Descriptors for Point Cloud Registration.
IEEE Trans. Pattern Anal. Mach. Intell.
Fabio Poiesi, Davide Boscaini
2023 J jnl
Object 6D pose estimation meets zero-shot learning.
CoRR
Andrea Caraffa, Davide Boscaini, Amir Hamza, Fabio Poiesi
2023 J jnl
Open-vocabulary object 6D pose estimation.
CoRR
Jaime Corsetti, Davide Boscaini, Changjae Oh, Andrea Cavallaro, Fabio Poiesi
2023 J jnl
PatchMixer: Rethinking network design to boost generalization for 3D point cloud understanding.
CoRR
Davide Boscaini, Fabio Poiesi
2023 J jnl
PatchMixer: Rethinking network design to boost generalization for 3D point cloud understanding.
Image Vis. Comput.
Davide Boscaini, Fabio Poiesi
2023 — conf
Revisiting Fully Convolutional Geometric Features for Object 6D Pose Estimation.
ICCV (Workshops)
Jaime Corsetti, Davide Boscaini, Fabio Poiesi
2023 J jnl
Revisiting Fully Convolutional Geometric Features for Object 6D Pose Estimation.
CoRR
Jaime Corsetti, Davide Boscaini, Fabio Poiesi
2023 J jnl
Supervised tractogram filtering using Geometric Deep Learning.
Medical Image Anal.
Pietro Astolfi, Ruben S. Verhagen, Laurent Petit, Emanuele Olivetti, Silvio Sarubbo, Jonathan Masci, Davide Boscaini, Paolo Avesani
2023 — conf
The MONET dataset: Multimodal drone thermal dataset recorded in rural scenarios.
CVPR Workshops
Luigi Riz, Andrea Caraffa, Matteo Bortolon, Mohamed Lamine Mekhalfi, Davide Boscaini, André Moura, José Antunes, André Dias, Hugo Silva, Andreas Leonidou, Christos Constantinides, Christos Keleshis, Dante Abate, Fabio Poiesi
2023 J jnl
The MONET dataset: Multimodal drone thermal dataset recorded in rural scenarios.
CoRR
Luigi Riz, Andrea Caraffa, Matteo Bortolon, Mohamed Lamine Mekhalfi, Davide Boscaini, André Moura, José Antunes, André Dias, Hugo Silva, Andreas Leonidou, Christos Constantinides, Christos Keleshis, Dante Abate, Fabio Poiesi
2022 J jnl
Supervised Tractogram Filtering using Geometric Deep Learning.
CoRR
Pietro Astolfi, Ruben S. Verhagen, Laurent Petit, Emanuele Olivetti, Silvio Sarubbo, Jonathan Masci, Davide Boscaini, Paolo Avesani
2021 J jnl
Generalisable and distinctive 3D local deep descriptors for point cloud registration.
CoRR
Fabio Poiesi, Davide Boscaini
2020 J jnl
3D Shape Segmentation with Geometric Deep Learning.
CoRR
Davide Boscaini, Fabio Poiesi
2020 B conf
Clustered Dynamic Graph CNN for Biometric 3D Hand Shape Recognition.
IJCB
Jan Svoboda, Pietro Astolfi, Davide Boscaini, Jonathan Masci, Michael M. Bronstein
2020 B conf
Distinctive 3D local deep descriptors.
ICPR
Fabio Poiesi, Davide Boscaini
2020 J jnl
Distinctive 3D local deep descriptors.
CoRR
Fabio Poiesi, Davide Boscaini
2020 B conf
Joint Supervised and Self-Supervised Learning for 3D Real World Challenges.
ICPR
Antonio Alliegro, Davide Boscaini, Tatiana Tommasi
2020 J jnl
Joint Supervised and Self-Supervised Learning for 3D Real-World Challenges.
CoRR
Antonio Alliegro, Davide Boscaini, Tatiana Tommasi
2020 — conf
Localisation of Defects in Volumetric Computed Tomography Scans of Valuable Wood Logs.
ICPR Workshops (4)
Davide Boscaini, Fabio Poiesi, Stefano Messelodi, Ayman Younes, Donato A. Grande
2020 — conf
Novel-View Human Action Synthesis.
ACCV (4)
Mohamed Ilyes Lakhal, Davide Boscaini, Fabio Poiesi, Oswald Lanz, Andrea Cavallaro
2020 J jnl
Novel-View Human Action Synthesis.
CoRR
Mohamed Ilyes Lakhal, Davide Boscaini, Fabio Poiesi, Oswald Lanz, Andrea Cavallaro
2020 — conf
Self-Supervision for 3D Real-World Challenges.
ECCV Workshops (1)
Antonio Alliegro, Davide Boscaini, Tatiana Tommasi
2020 B conf
Shape Consistent 2D Keypoint Estimation under Domain Shift.
ICPR
Levi O. Vasconcelos, Massimiliano Mancini, Davide Boscaini, Samuel Rota Bulò, Barbara Caputo, Elisa Ricci
2020 J jnl
Shape Consistent 2D Keypoint Estimation under Domain Shift.
CoRR
Levi O. Vasconcelos, Massimiliano Mancini, Davide Boscaini, Samuel Rota Bulò, Barbara Caputo, Elisa Ricci
2020 — conf
Tractogram Filtering of Anatomically Non-plausible Fibers with Geometric Deep Learning.
MICCAI (7)
Pietro Astolfi, Ruben S. Verhagen, Laurent Petit, Emanuele Olivetti, Jonathan Masci, Davide Boscaini, Paolo Avesani
2020 J jnl
Tractogram filtering of anatomically non-plausible fibers with geometric deep learning.
CoRR
Pietro Astolfi, Ruben S. Verhagen, Laurent Petit, Emanuele Olivetti, Jonathan Masci, Davide Boscaini, Paolo Avesani
2019 — conf
3D Shape Segmentation with Geometric Deep Learning.
ICIAP (1)
Davide Boscaini, Fabio Poiesi
2019 — conf
Structured Domain Adaptation for 3D Keypoint Estimation.
3DV
Levi O. Vasconcelos, Massimiliano Mancini, Davide Boscaini, Barbara Caputo, Elisa Ricci
2017 A* conf
Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs.
CVPR
Federico Monti, Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Jan Svoboda, Michael M. Bronstein
2016 J jnl
Anisotropic Diffusion Descriptors.
Comput. Graph. Forum
Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Michael M. Bronstein, Daniel Cremers
2016 — conf
Deep Learning for Shape Analysis.
Eurographics (Tutorials)
Michael M. Bronstein, Evangelos Kalogerakis, Emanuele Rodolà, Jonathan Masci, Davide Boscaini
2016 J jnl
Geometric deep learning on graphs and manifolds using mixture model CNNs.
CoRR
Federico Monti, Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Jan Svoboda, Michael M. Bronstein
2016 — conf
Geometric deep learning.
SIGGRAPH ASIA Courses
Jonathan Masci, Emanuele Rodolà, Davide Boscaini, Michael M. Bronstein, Hao Li
2016 — conf
Learning shape correspondence with anisotropic convolutional neural networks.
NIPS
Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Michael M. Bronstein
2016 J jnl
Learning shape correspondence with anisotropic convolutional neural networks.
CoRR
Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Michael M. Bronstein
2015 — conf
Geodesic Convolutional Neural Networks on Riemannian Manifolds.
ICCV Workshops
Jonathan Masci, Davide Boscaini, Michael M. Bronstein, Pierre Vandergheynst
2015 J jnl
Learning class-specific descriptors for deformable shapes using localized spectral convolutional networks.
Comput. Graph. Forum
Davide Boscaini, Jonathan Masci, Simone Melzi, Michael M. Bronstein, Umberto Castellani, Pierre Vandergheynst
2015 J jnl
Shape-from-Operator: Recovering Shapes from Intrinsic Operators.
Comput. Graph. Forum
Davide Boscaini, Davide Eynard, Drosos Kourounis, Michael M. Bronstein
2015 J jnl
ShapeNet: Convolutional Neural Networks on Non-Euclidean Manifolds.
CoRR
Jonathan Masci, Davide Boscaini, Michael M. Bronstein, Pierre Vandergheynst
2014 J jnl
A sparse coding approach for local-to-global 3D shape description.
Vis. Comput.
Davide Boscaini, Umberto Castellani
2014 — conf
Coulomb Shapes: Using Electrostatic Forces for Deformation-invariant Shape Representation.
3DOR@Eurographics
Davide Boscaini, Ramunas Girdziusas, Michael M. Bronstein
2014 J jnl
Shape-from-intrinsic operator.
CoRR
Davide Boscaini, Davide Eynard, Michael M. Bronstein
2013 — conf
Local Signature Quantization by Sparse Coding.
3DOR@Eurographics
Davide Boscaini, Umberto Castellani