Boscaini, Davide
Boscaini, Davide
TeV
3D Shape Segmentation with Geometric Deep Learning
2019-01-01 Boscaini, Davide; Poiesi, Fabio
A sparse coding approach for local-to-global 3D shape description
2014-01-01 Boscaini, Davide; Castellani, Umberto
Anisotropic diffusion descriptors
2016-01-01 Boscaini, Davide; Masci, Jonathan; Rodolà, Emanuele; Bronstein, Michael M.; Cremers, Daniel
Clustered Dynamic Graph CNN for Biometric 3D Hand Shape Recognition
2020-01-01 Svoboda, J.; Astolfi, P.; Boscaini, D.; Masci, J.; Bronstein, M.
Coulomb shapes: using electrostatic forces for deformation-invariant shape representation
2014-01-01 Boscaini, Davide; Girdziusas, Ramunas; Bronstein, Michael M.
Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning
2019-01-01 Gainza, P.; Sverrisson, F.; Monti, F.; Rodolà, E.; Boscaini, D.; Bronstein, M. M.; Correia, B. E.
Detect, Augment, Compose, and Adapt: Four Steps for Unsupervised Domain Adaptation in Object Detection
2023-01-01 Mekhalfi, Mohamed L.; Boscaini, Davide; Poiesi, Fabio
Distinctive 3D local deep descriptors
2020-01-01 Poiesi, Fabio; Boscaini, Davide
Geodesic convolutional neural networks on Riemannian manifolds
2015-01-01 Masci, Jonathan; Boscaini, Davide; Bronstein, Michael M.; Vandergheynst, Pierre
Geometric deep learning
2016-01-01 Masci, Jonathan; Rodolà, Emanuele; Boscaini, Davide; Bronstein, Michael M.; Li, Hao
Geometric deep learning on graphs and manifolds using mixture model CNNs
2017-01-01 Monti, Federico; Boscaini, Davide; Masci, Jonathan; Rodolà, Emanuele; Svoboda, Jan; Bronstein, Michael M.
Joint Supervised and Self-Supervised Learning for 3D Real-World Challenges
2021-01-01 Alliegro, Antonio; Boscaini, Davide; Tommasi, Tatiana
Learning class-specific descriptors for deformable shapes using localized spectral convolutional networks
2015-01-01 Boscaini, Davide; Masci, Jonathan; Melzi, Simone; Bronstein, Michael M.; Castellani, Umberto; Vandergheynst, Pierre
Learning general and distinctive 3D local deep descriptors for point cloud registration
2022-01-01 Poiesi, Fabio; Boscaini, Davide
Learning interaction patterns from surface representations of protein structure
2019-01-01 Gainza, P.; Sverrisson, F.; Monti, F.; Rodolà, E.; Boscaini, D.; Bronstein, M. M.; Correira, B. E.
Learning shape correspondence with anisotropic convolutional neural networks
2016-01-01 Boscaini, Davide; Masci, Jonathan; Rodolà, Emanuele; Bronstein, Michael M.
Local signature quantization by sparse coding
2013-01-01 Boscaini, Davide; Castellani, Umberto
Localisation of Defects in Volumetric Computed Tomography Scans of Valuable Wood Logs
2021-01-01 Boscaini, Davide; Poiesi, Fabio; Messelodi, Stefano; Younes, Ayman; Grande, Donato A.
Novel-View Human Action Synthesis
2021-01-01 Lakhal, Mohamed Ilyes; Boscaini, Davide; Poiesi, Fabio; Lanz, Oswald; Cavallaro, Andrea
PatchMixer: Rethinking network design to boost generalization for 3D point cloud understanding
2023-01-01 Boscaini, Davide; Poiesi, Fabio
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| 3D Shape Segmentation with Geometric Deep Learning | 1-gen-2019 | Boscaini, Davide; Poiesi, Fabio | |
| A sparse coding approach for local-to-global 3D shape description | 1-gen-2014 | Boscaini, Davide; Castellani, Umberto | |
| Anisotropic diffusion descriptors | 1-gen-2016 | Boscaini, Davide; Masci, Jonathan; Rodolà, Emanuele; Bronstein, Michael M.; Cremers, Daniel | |
| Clustered Dynamic Graph CNN for Biometric 3D Hand Shape Recognition | 1-gen-2020 | Svoboda, J.; Astolfi, P.; Boscaini, D.; Masci, J.; Bronstein, M. | |
| Coulomb shapes: using electrostatic forces for deformation-invariant shape representation | 1-gen-2014 | Boscaini, Davide; Girdziusas, Ramunas; Bronstein, Michael M. | |
| Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning | 1-gen-2019 | Gainza, P.; Sverrisson, F.; Monti, F.; Rodolà, E.; Boscaini, D.; Bronstein, M. M.; Correia, B. E. | |
| Detect, Augment, Compose, and Adapt: Four Steps for Unsupervised Domain Adaptation in Object Detection | 1-gen-2023 | Mekhalfi, Mohamed L.; Boscaini, Davide; Poiesi, Fabio | |
| Distinctive 3D local deep descriptors | 1-gen-2020 | Poiesi, Fabio; Boscaini, Davide | |
| Geodesic convolutional neural networks on Riemannian manifolds | 1-gen-2015 | Masci, Jonathan; Boscaini, Davide; Bronstein, Michael M.; Vandergheynst, Pierre | |
| Geometric deep learning | 1-gen-2016 | Masci, Jonathan; Rodolà, Emanuele; Boscaini, Davide; Bronstein, Michael M.; Li, Hao | |
| Geometric deep learning on graphs and manifolds using mixture model CNNs | 1-gen-2017 | Monti, Federico; Boscaini, Davide; Masci, Jonathan; Rodolà, Emanuele; Svoboda, Jan; Bronstein, Michael M. | |
| Joint Supervised and Self-Supervised Learning for 3D Real-World Challenges | 1-gen-2021 | Alliegro, Antonio; Boscaini, Davide; Tommasi, Tatiana | |
| Learning class-specific descriptors for deformable shapes using localized spectral convolutional networks | 1-gen-2015 | Boscaini, Davide; Masci, Jonathan; Melzi, Simone; Bronstein, Michael M.; Castellani, Umberto; Vandergheynst, Pierre | |
| Learning general and distinctive 3D local deep descriptors for point cloud registration | 1-gen-2022 | Poiesi, Fabio; Boscaini, Davide | |
| Learning interaction patterns from surface representations of protein structure | 1-gen-2019 | Gainza, P.; Sverrisson, F.; Monti, F.; Rodolà, E.; Boscaini, D.; Bronstein, M. M.; Correira, B. E. | |
| Learning shape correspondence with anisotropic convolutional neural networks | 1-gen-2016 | Boscaini, Davide; Masci, Jonathan; Rodolà, Emanuele; Bronstein, Michael M. | |
| Local signature quantization by sparse coding | 1-gen-2013 | Boscaini, Davide; Castellani, Umberto | |
| Localisation of Defects in Volumetric Computed Tomography Scans of Valuable Wood Logs | 1-gen-2021 | Boscaini, Davide; Poiesi, Fabio; Messelodi, Stefano; Younes, Ayman; Grande, Donato A. | |
| Novel-View Human Action Synthesis | 1-gen-2021 | Lakhal, Mohamed Ilyes; Boscaini, Davide; Poiesi, Fabio; Lanz, Oswald; Cavallaro, Andrea | |
| PatchMixer: Rethinking network design to boost generalization for 3D point cloud understanding | 1-gen-2023 | Boscaini, Davide; Poiesi, Fabio |