Boscaini, Davide

Boscaini, Davide  

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3D Part Segmentation via Geometric Aggregation of 2D Visual Features 1-gen-2024 Garosi, Marco; Tedoldi, Riccardo; Boscaini, Davide; Mancini, Massimiliano; Sebe, Nicu; Poiesi, Fabio
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
Exploring Fine-grained Retail Product Discrimination with Zero-shot Object Classification Using Vision-Language Models 1-gen-2024 Tur, Anil Osman; Conti, Alessandro; Beyan, Cigdem; Boscaini, Davide; Larcher, Roberto; Messelodi, Stefano; Poiesi, Fabio; Ricci, Elisa
FreeZe: Training-Free Zero-Shot 6D Pose Estimation with Geometric and Vision Foundation Models 1-gen-2024 Caraffa, Andrea; Boscaini, Davide; Hamza, Amir; Poiesi, Fabio
Functionality understanding and segmentation in 3D scenes 1-gen-2025 Corsetti, Jaime; Giuliari, Francesco; Fasoli, Alice; Boscaini, Davide; Poiesi, Fabio
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.