Spectral methods have emerged as a simple yet surprisingly effective approach for
extracting information from massive, noisy and incomplete data. In a nutshell, spectral …

We present MultiBodySync, a novel, end-to-end trainable multi-body motion segmentation
and rigid registration framework for multiple input 3D point clouds. The two non-trivial …

We present QuantumSync, the first quantum algorithm for solving a synchronization problem
in the context of computer vision. In particular, we focus on permutation synchronization …

In this paper, we propose a novel method, which we call Consistent ZoomOut, for efficiently
refining correspondences among deformable 3D shape collections, while promoting the …

Finding correspondences between shapes is a fundamental problem in computer vision and
graphics, which is relevant for many applications, including 3D reconstruction, object …

We introduce a new paradigm,measure synchronization', for synchronizing graphs with
measure-valued edges. We formulate this problem as maximization of the cycle-consistency …

This paper introduces GenCorres, a novel unsupervised joint shape matching (JSM)
approach. Our key idea is to learn a mesh generator to fit an unorganized deformable shape …

We address the non-convex optimisation problem of finding a sparse matrix on the Stiefel
manifold (matrices with mutually orthogonal columns of unit length) that maximises (or …

We propose a novel non-negative spherical relaxation for optimization problems over binary
matrices with injectivity constraints, which in particular has applications in multi-matching …

Reconstructing a complete object from its parts is a fundamental problem in many scientific
domains. The purpose of this article is to provide a systematic survey on this topic. The …