Davide Boscaini

发表

Shape Consistent 2D Keypoint Estimation under Domain Shift pdf

Samuel Rota Bulo, Elisa Ricci, Barbara Caputo, 2020, ArXiv.

Coulomb Shapes: Using Electrostatic Forces for Deformation-invariant Shape Representation

Michael M. Bronstein, Ramunas Girdziusas, Davide Boscaini, 2014, 3DOR@Eurographics.

Local Signature Quantization by Sparse Coding

Umberto Castellani, Davide Boscaini, U. Castellani, 2013, 3DOR@Eurographics.

Geodesic Convolutional Neural Networks on Riemannian Manifolds

Pierre Vandergheynst, Jonathan Masci, Michael M. Bronstein, 2015, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW).

Shape‐from‐Operator: Recovering Shapes from Intrinsic Operators

Davide Eynard, Michael M. Bronstein, Davide Boscaini, 2015, Comput. Graph. Forum.

Structured Domain Adaptation for 3D Keypoint Estimation

Elisa Ricci, Barbara Caputo, Massimiliano Mancini, 2019, 2019 International Conference on 3D Vision (3DV).

Shape-from-intrinsic operator pdf

Davide Eynard, Michael M. Bronstein, Davide Boscaini, 2014, ArXiv.

Geometric deep learning

Jonathan Masci, Michael M. Bronstein, Hao Li, 2016, SIGGRAPH ASIA Courses.

Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs

Jonathan Masci, Michael M. Bronstein, Jan Svoboda, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Clustered Dynamic Graph CNN for Biometric 3D Hand Shape Recognition

Jonathan Masci, Davide Boscaini, Michael Bronstein, 2020, 2020 IEEE International Joint Conference on Biometrics (IJCB).

ShapeNet: Convolutional Neural Networks on Non-Euclidean Manifolds pdf

Pierre Vandergheynst, Jonathan Masci, Michael M. Bronstein, 2015, ArXiv.

Distinctive 3D local deep descriptors pdf

Fabio Poiesi, Davide Boscaini, D. Boscaini, 2020, 2020 25th International Conference on Pattern Recognition (ICPR).

Novel-View Human Action Synthesis pdf

Fabio Poiesi, Oswald Lanz, Andrea Cavallaro, 2020, ArXiv.

Tractogram filtering of anatomically non-plausible fibers with geometric deep learning

Jonathan Masci, Paolo Avesani, Emanuele Olivetti, 2020, MICCAI.

Learning class‐specific descriptors for deformable shapes using localized spectral convolutional networks

Pierre Vandergheynst, Jonathan Masci, Michael M. Bronstein, 2015, SGP '15.

Joint Supervised and Self-Supervised Learning for 3D Real World Challenges pdf

Tatiana Tommasi, Davide Boscaini, Antonio Alliegro, 2020, 2020 25th International Conference on Pattern Recognition (ICPR).

3D Shape Segmentation with Geometric Deep Learning

Fabio Poiesi, Davide Boscaini, 2019, ICIAP.

Anisotropic Diffusion Descriptors

Daniel Cremers, Jonathan Masci, Michael M. Bronstein, 2016, Comput. Graph. Forum.

Geometric Deep Learning for Shape Analysis

Davide Boscaini, D. Boscaini, 2017 .

Deep Learning for Shape Analysis

Jonathan Masci, Michael M. Bronstein, Evangelos Kalogerakis, 2016, Eurographics.

Self-Supervision for 3D Real-World Challenges

Tatiana Tommasi, Davide Boscaini, Antonio Alliegro, 2020, ECCV Workshops.

A sparse coding approach for local-to-global 3D shape description

Umberto Castellani, Davide Boscaini, U. Castellani, 2014, The Visual Computer.

Learning shape correspondence with anisotropic convolutional neural networks

Jonathan Masci, Michael M. Bronstein, Emanuele Rodolà, 2016, NIPS.

Distinctive 3D local deep descriptors

Fabio Poiesi, Davide Boscaini, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Generalisable and distinctive 3D local deep descriptors for point cloud registration pdf

Fabio Poiesi, Davide Boscaini, 2021, ArXiv.