Human adaptability relies crucially on the ability to learn and merge knowledge both from
supervised and unsupervised learning: the parents point out few important concepts, but …

Many important geometric estimation problems naturally take the form of synchronization
over the special Euclidean group: estimate the values of a set of unknown group elements x …

Reassembly tasks play a fundamental role in many fields and multiple approaches exist to
solve specific reassembly problems. In this context we posit that a general unified model can …

Abstract We introduce Breaking Bad, a large-scale dataset of fractured objects. Our dataset
consists of over one million fractured objects simulated from ten thousand base models. The …

We explore the problem of reconstructing an image from a bag of square, non-overlap**
image patches, the jigsaw puzzle problem. Completing jigsaw puzzles is challenging and …

Automated shape repair approaches currently lack access to datasets that describe real-
world damaged geometry. We present Fantastic Breaks (and Where to Find Them …

We present a principled approach to uncover the structure of visual data by solving a novel
deep learning task coined visual permutation learning. The goal of this task is to find the …

In the square jigsaw puzzle problem one is required to reconstruct the complete image from
a set of non-overlap**, unordered, square puzzle parts. Here we propose a fully automatic …

Jigsaw-puzzle solving is necessary in many applications, including biology, archaeology,
and every-day life. In this paper we consider the square jigsaw puzzle problem, where the …

The creation of unstable heavy particles at the Large Hadron Collider is the most direct way
to address some of the deepest open questions in physics. Collisions typically produce …