Davide Boscaini
Fondazione Bruno Kessler(IT)
Publications by Year
Research Areas
3D Shape Modeling and Analysis, 3D Surveying and Cultural Heritage, Image Processing and 3D Reconstruction, Robotics and Sensor-Based Localization, Robot Manipulation and Learning
Most-Cited Works
- → Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs(2017)1,828 cited
- → Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning(2019)804 cited
- → Learning class‐specific descriptors for deformable shapes using localized spectral convolutional networks(2015)221 cited
- → Learning shape correspondence with anisotropic convolutional neural\n networks(2016)176 cited
- → Anisotropic Diffusion Descriptors(2016)130 cited
- → Geodesic Convolutional Neural Networks on Riemannian Manifolds(2015)127 cited
- → Learning general and distinctive 3D local deep descriptors for point cloud registration(2022)85 cited
- → Geometric deep learning(2016)49 cited
- → Shape‐from‐Operator: Recovering Shapes from Intrinsic Operators(2015)47 cited