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2020 – today
- 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)- [i13]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) - 2022
- [i12]Pietro Astolfi, Ruben 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 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 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 2023-04-20 22:23 CEST by the dblp team
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