All patients surviving an acute aortic dissection require continued lifelong surveillance of
their diseased aorta. Late complications, driven predominantly by chronic false lumen …

To the best of our knowledge, the most recent light detection and ranging (lidar)-based
surveys have been focused only on specific applications such as reconstruction and …

We present RigNet, an end-to-end automated method for producing animation rigs from
input character models. Given an input 3D model representing an articulated character …

Modern systems for real-time hand tracking rely on a combination of discriminative and
generative approaches to robustly recover hand poses. Generative approaches require the …

3D spatial perception is the problem of building and maintaining an actionable and
persistent representation of the environment in real-time using sensor data and prior …

We introduce a compact, intuitive procedural graph representation for cellular
metamaterials, which are small-scale, tileable structures that can be architected to exhibit …

In plant phenotyping, accurate trait extraction from 3D point clouds of trees is still an open
problem. For automatic modeling and trait extraction of tree organs such as blossoms and …

We propose a novel 3D shape correspondence method based on the iterative alignment of
so-called smooth shells. Smooth shells define a series of coarse-to-fine shape …

Shape and topology optimization techniques aim to maximize structural performance
through material redistribution. Effectively controlling structural complexity during the form …

Point cloud sampling is crucial for efficient large-scale point cloud analysis, where learning-
to-sample methods have recently received increasing attention from the community for …