Boscaini, Davide

Boscaini, Davide  

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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