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2020 – today
- 2025
[c25]Marco Garosi, Riccardo Tedoldi, Davide Boscaini, Massimiliano Mancini, Nicu Sebe, Fabio Poiesi:
3D Part Segmentation via Geometric Aggregation of 2D Visual Features. WACV 2025: 3257-3267- [i25]Mohamed Lamine Mekhalfi, Davide Boscaini, Fabio Poiesi:
Leveraging Confident Image Regions for Source-Free Domain-Adaptive Object Detection. CoRR abs/2501.10081 (2025) - [i24]Amir Hamza, Andrea Caraffa, Davide Boscaini, Fabio Poiesi:
Distilling 3D distinctive local descriptors for 6D pose estimation. CoRR abs/2503.15106 (2025) - 2024
- [c24]Jaime Corsetti, Davide Boscaini, Changjae Oh, Andrea Cavallaro, Fabio Poiesi:
Open-vocabulary object 6D pose estimation. CVPR 2024: 18071-18080 - [c23]Andrea Caraffa
, Davide Boscaini, Amir Hamza, Fabio Poiesi:
FreeZe: Training-Free Zero-Shot 6D Pose Estimation with Geometric and Vision Foundation Models. ECCV (75) 2024: 414-431 - [c22]Miguel A. Mateo-Casalí, Laura Moya-Ruiz, Andrea Caraffa, Davide Boscaini, Amir Hamza, Paul Chippendale, Fabio Poiesi, Francisco Fraile:
Towards More Effective Human-Robot Collaboration via Accurate Pose Estimation. ERF (2) 2024: 157-161 - [c21]Anil Osman Tur, Alessandro Conti, Cigdem Beyan, Davide Boscaini, Roberto Larcher, Stefano Messelodi, Fabio Poiesi, Elisa Ricci:
Exploring Fine-Grained Retail Product Discrimination with Zero-Shot Object Classification Using Vision-Language Models. RTSI 2024: 97-102 - [i23]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:
Wild Berry image dataset collected in Finnish forests and peatlands using drones. CoRR abs/2405.07550 (2024) - [i22]Jaime Corsetti, Davide Boscaini, Francesco Giuliari, Changjae Oh, Andrea Cavallaro, Fabio Poiesi:
High-resolution open-vocabulary object 6D pose estimation. CoRR abs/2406.16384 (2024) - [i21]Anil Osman Tur, Alessandro Conti, Cigdem Beyan, Davide Boscaini, Roberto Larcher, Stefano Messelodi, Fabio Poiesi, Elisa Ricci:
Exploring Fine-grained Retail Product Discrimination with Zero-shot Object Classification Using Vision-Language Models. CoRR abs/2409.14963 (2024) - [i20]Jaime Corsetti, Francesco Giuliari, Alice Fasoli, Davide Boscaini, Fabio Poiesi:
Functionality understanding and segmentation in 3D scenes. CoRR abs/2411.16310 (2024) - [i19]Marco Garosi, Riccardo Tedoldi, Davide Boscaini, Massimiliano Mancini, Nicu Sebe, Fabio Poiesi:
3D Part Segmentation via Geometric Aggregation of 2D Visual Features. CoRR abs/2412.04247 (2024) - 2023
- [j7]Davide Boscaini, Fabio Poiesi:
PatchMixer: Rethinking network design to boost generalization for 3D point cloud understanding. Image Vis. Comput. 137: 104768 (2023) - [j6]Pietro Astolfi, Ruben S. Verhagen, Laurent Petit, Emanuele Olivetti, Silvio Sarubbo, Jonathan Masci, Davide Boscaini, Paolo Avesani:
Supervised tractogram filtering using Geometric Deep Learning. Medical Image Anal. 90: 102893 (2023) - [j5]Fabio Poiesi, Davide Boscaini:
Learning General and Distinctive 3D Local Deep Descriptors for Point Cloud Registration. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3979-3985 (2023) - [c20]Mohamed Lamine Mekhalfi, Davide Boscaini, Fabio Poiesi:
Detect, Augment, Compose, and Adapt: Four Steps for Unsupervised Domain Adaptation in Object Detection. BMVC 2023: 117-118 - [c19]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:
The MONET dataset: Multimodal drone thermal dataset recorded in rural scenarios. CVPR Workshops 2023: 2546-2554 - [c18]Jaime Corsetti, Davide Boscaini, Fabio Poiesi:
Revisiting Fully Convolutional Geometric Features for Object 6D Pose Estimation. ICCV (Workshops) 2023: 2095-2104 - [i18]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:
The MONET dataset: Multimodal drone thermal dataset recorded in rural scenarios. CoRR abs/2304.05417 (2023) - [i17]Jaime Corsetti, Davide Boscaini, Fabio Poiesi:
Revisiting Fully Convolutional Geometric Features for Object 6D Pose Estimation. CoRR abs/2307.15514 (2023) - [i16]Davide Boscaini, Fabio Poiesi:
PatchMixer: Rethinking network design to boost generalization for 3D point cloud understanding. CoRR abs/2307.15692 (2023) - [i15]Mohamed Lamine Mekhalfi, Davide Boscaini, Fabio Poiesi:
Detect, Augment, Compose, and Adapt: Four Steps for Unsupervised Domain Adaptation in Object Detection. CoRR abs/2308.15353 (2023) - [i14]Jaime Corsetti, Davide Boscaini, Changjae Oh, Andrea Cavallaro, Fabio Poiesi:
Open-vocabulary object 6D pose estimation. CoRR abs/2312.00690 (2023) - [i13]Andrea Caraffa, Davide Boscaini, Amir Hamza, Fabio Poiesi:
Object 6D pose estimation meets zero-shot learning. CoRR abs/2312.00947 (2023) - 2022
- [i12]Pietro Astolfi, Ruben S. Verhagen, Laurent Petit, Emanuele Olivetti, Silvio Sarubbo, Jonathan Masci, Davide Boscaini, Paolo Avesani:
Supervised Tractogram Filtering using Geometric Deep Learning. CoRR abs/2212.03300 (2022) - 2021
- [i11]Fabio Poiesi, Davide Boscaini:
Generalisable and distinctive 3D local deep descriptors for point cloud registration. CoRR abs/2105.10382 (2021) - 2020
- [c17]Mohamed Ilyes Lakhal, Davide Boscaini, Fabio Poiesi, Oswald Lanz, Andrea Cavallaro:
Novel-View Human Action Synthesis. ACCV (4) 2020: 423-441 - [c16]Antonio Alliegro, Davide Boscaini, Tatiana Tommasi:
Self-Supervision for 3D Real-World Challenges. ECCV Workshops (1) 2020: 704-708 - [c15]Jan Svoboda, Pietro Astolfi, Davide Boscaini, Jonathan Masci, Michael M. Bronstein:
Clustered Dynamic Graph CNN for Biometric 3D Hand Shape Recognition. IJCB 2020: 1-9 - [c14]Davide Boscaini, Fabio Poiesi, Stefano Messelodi, Ayman Younes, Donato A. Grande:
Localisation of Defects in Volumetric Computed Tomography Scans of Valuable Wood Logs. ICPR Workshops (4) 2020: 692-704 - [c13]Fabio Poiesi, Davide Boscaini:
Distinctive 3D local deep descriptors. ICPR 2020: 5720-5727 - [c12]Antonio Alliegro, Davide Boscaini, Tatiana Tommasi:
Joint Supervised and Self-Supervised Learning for 3D Real World Challenges. ICPR 2020: 6718-6725 - [c11]Levi O. Vasconcelos, Massimiliano Mancini, Davide Boscaini, Samuel Rota Bulò, Barbara Caputo, Elisa Ricci:
Shape Consistent 2D Keypoint Estimation under Domain Shift. ICPR 2020: 8037-8044 - [c10]Pietro Astolfi, Ruben S. Verhagen, Laurent Petit, Emanuele Olivetti, Jonathan Masci, Davide Boscaini, Paolo Avesani:
Tractogram Filtering of Anatomically Non-plausible Fibers with Geometric Deep Learning. MICCAI (7) 2020: 291-301 - [i10]Davide Boscaini, Fabio Poiesi:
3D Shape Segmentation with Geometric Deep Learning. CoRR abs/2002.00397 (2020) - [i9]Pietro Astolfi, Ruben S. Verhagen, Laurent Petit, Emanuele Olivetti, Jonathan Masci, Davide Boscaini, Paolo Avesani:
Tractogram filtering of anatomically non-plausible fibers with geometric deep learning. CoRR abs/2003.11013 (2020) - [i8]Antonio Alliegro, Davide Boscaini, Tatiana Tommasi:
Joint Supervised and Self-Supervised Learning for 3D Real-World Challenges. CoRR abs/2004.07392 (2020) - [i7]Mohamed Ilyes Lakhal, Davide Boscaini, Fabio Poiesi, Oswald Lanz, Andrea Cavallaro:
Novel-View Human Action Synthesis. CoRR abs/2007.02808 (2020) - [i6]Levi O. Vasconcelos, Massimiliano Mancini, Davide Boscaini, Samuel Rota Bulò, Barbara Caputo, Elisa Ricci:
Shape Consistent 2D Keypoint Estimation under Domain Shift. CoRR abs/2008.01589 (2020) - [i5]Fabio Poiesi, Davide Boscaini:
Distinctive 3D local deep descriptors. CoRR abs/2009.00258 (2020)
2010 – 2019
- 2019
- [c9]Levi O. Vasconcelos, Massimiliano Mancini, Davide Boscaini, Barbara Caputo, Elisa Ricci:
Structured Domain Adaptation for 3D Keypoint Estimation. 3DV 2019: 57-66 - [c8]Davide Boscaini, Fabio Poiesi:
3D Shape Segmentation with Geometric Deep Learning. ICIAP (1) 2019: 454-465 - 2017
- [c7]Federico Monti, Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Jan Svoboda, Michael M. Bronstein:
Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs. CVPR 2017: 5425-5434 - 2016
- [j4]Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Michael M. Bronstein, Daniel Cremers:
Anisotropic Diffusion Descriptors. Comput. Graph. Forum 35(2): 431-441 (2016) - [c6]Michael M. Bronstein, Evangelos Kalogerakis, Emanuele Rodolà, Jonathan Masci, Davide Boscaini:
Deep Learning for Shape Analysis. Eurographics (Tutorials) 2016 - [c5]Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Michael M. Bronstein:
Learning shape correspondence with anisotropic convolutional neural networks. NIPS 2016: 3189-3197 - [c4]Jonathan Masci, Emanuele Rodolà, Davide Boscaini, Michael M. Bronstein, Hao Li:
Geometric deep learning. SIGGRAPH ASIA Courses 2016: 1:1-1:50 - [i4]Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Michael M. Bronstein:
Learning shape correspondence with anisotropic convolutional neural networks. CoRR abs/1605.06437 (2016) - [i3]Federico Monti, Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Jan Svoboda, Michael M. Bronstein:
Geometric deep learning on graphs and manifolds using mixture model CNNs. CoRR abs/1611.08402 (2016) - 2015
- [j3]Davide Boscaini, Davide Eynard, Drosos Kourounis, Michael M. Bronstein:
Shape-from-Operator: Recovering Shapes from Intrinsic Operators. Comput. Graph. Forum 34(2): 265-274 (2015) - [j2]Davide Boscaini, Jonathan Masci, Simone Melzi, Michael M. Bronstein, Umberto Castellani, Pierre Vandergheynst:
Learning class-specific descriptors for deformable shapes using localized spectral convolutional networks. Comput. Graph. Forum 34(5): 13-23 (2015) - [c3]Jonathan Masci, Davide Boscaini, Michael M. Bronstein, Pierre Vandergheynst:
Geodesic Convolutional Neural Networks on Riemannian Manifolds. ICCV Workshops 2015: 832-840 - [i2]Jonathan Masci, Davide Boscaini, Michael M. Bronstein, Pierre Vandergheynst:
ShapeNet: Convolutional Neural Networks on Non-Euclidean Manifolds. CoRR abs/1501.06297 (2015) - 2014
- [j1]Davide Boscaini, Umberto Castellani:
A sparse coding approach for local-to-global 3D shape description. Vis. Comput. 30(11): 1233-1245 (2014) - [c2]Davide Boscaini, Ramunas Girdziusas, Michael M. Bronstein:
Coulomb Shapes: Using Electrostatic Forces for Deformation-invariant Shape Representation. 3DOR@Eurographics 2014: 9-15 - [i1]Davide Boscaini, Davide Eynard, Michael M. Bronstein:
Shape-from-intrinsic operator. CoRR abs/1406.1925 (2014) - 2013
- [c1]Davide Boscaini, Umberto Castellani:
Local Signature Quantization by Sparse Coding. 3DOR@Eurographics 2013: 9-16
Coauthor Index
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last updated on 2025-05-03 00:00 CEST by the dblp team
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