565 citations · 904 across the 19 of their papers we have counts for
6 papers · 1 filter
Correspondence Learning via Linearly-invariant Embedding
Riccardo Marin, Marie-Julie Rakotosaona, Simone Melzi +1
In this paper, we propose a fully differentiable pipeline for estimating accurate dense correspondences between 3D point clouds. The proposed pipeline is an extension and a general…
High-Resolution Augmentation for Automatic Template-Based Matching of Human Models
Riccardo Marin, Simone Melzi, Emanuele Rodolà +1
We propose a new approach for 3D shape matching of deformable human shapes. Our approach is based on the joint adoption of three different tools: an intrinsic spectral matching pip…
Wavelet-based Heat Kernel Derivatives: Towards Informative Localized Shape Analysis
M. Kirgo, S. Melzi, G. Patanè +2
In this paper, we propose a new construction for the Mexican hat wavelets on shapes with applications to partial shape matching. Our approach takes its main inspiration from the we…
Infinite Feature Selection: A Graph-based Feature Filtering Approach
Giorgio Roffo, Simone Melzi, Umberto Castellani +2
We propose a filtering feature selection framework that considers subsets of features as paths in a graph, where a node is a feature and an edge indicates pairwise (customizable) r…
MapTree: Recovering Multiple Solutions in the Space of Maps
Jing Ren, Simone Melzi, Maks Ovsjanikov +1
In this paper we propose an approach for computing multiple high-quality near-isometric dense correspondences between a pair of 3D shapes. Our method is fully automatic and does no…
Instant recovery of shape from spectrum via latent space connections
Riccardo Marin, Arianna Rampini, Umberto Castellani +3
We introduce the first learning-based method for recovering shapes from Laplacian spectra. Given an auto-encoder, our model takes the form of a cycle-consistent module to map laten…