We approach the problem of high-DOF reaching-and-grasping via learning joint planning of
grasp and motion with deep reinforcement learning. To resolve the sample efficiency issue …

Rapidly developing technologies are realizing a 3D telepresence, in which geographically
separated users can interact with each other through their virtual avatars. In this article, we …

A central goal of computer graphics is to provide tools for designing and simulating real or
imagined artifacts. An understanding of functionality is important in enabling such modeling …

In this paper, we advocate a novel method for analyzing the functionality of parts in 3D
objects. In contrast to prior research, our method no longer characterizes the functionality of …

Applying motion‐capture data to multi‐person interaction between virtual characters is
challenging because one needs to preserve the interaction semantics while also satisfying …

Traditional methods for motion comparison consider features from individual characters.
However, the semantic meaning of many human activities is usually defined by the …

Agents that need to act on their surroundings can significantly benefit from the perception of
their interaction possibilities or affordances. In this paper we combine the benefits of the …

When designing comfort and usability in products, designers need to evaluate aspects
ranging from anthropometrics to use scenarios. Therefore, virtual and poseable mannequins …

Depth sensors of low-cost acquisition devices (eg Microsoft Kinect, Asus Xtion) are coming
into widespread use; however, 3D acquired data are generally large, heterogeneous, and …

Two novel methods for fully unsupervised human action retrieval using 3D mesh sequences
are presented. The first achieves high accuracy but is suitable for sequences consisting of …