Affordance modeling plays an important role in visual understanding. In this paper, we aim
to predict affordances of 3D indoor scenes, specifically what human poses are afforded by a …

Humans live within a 3D space and constantly interact with it to perform tasks. Such
interactions involve physical contact between surfaces that is semantically meaningful. Our …

We present a fully automatic system that takes a 3D scene and generates plausible 3D
human bodies that are posed naturally in that 3D scene. Given a 3D scene without people …

In this paper, we study the task of 3D human pose estimation in the wild. This task is
challenging due to lack of training data, as existing datasets are either in the wild images …

We propose embodied scene-aware human pose estimation where we estimate 3D poses
based on a simulated agent's proprioception and scene awareness, along with external third …

Generating realistic 3D worlds occupied by moving humans has many applications in
games, architecture, and synthetic data creation. But generating such scenes is expensive …

We identify and connect a set of physical properties to 3D models to create a richly-
annotated 3D model dataset with data on physical sizes, static support, attachment surfaces …

The intimate entanglement between objects affordances and human poses is of large
interest, among others, for behavioural sciences, cognitive psychology, and Computer …

From an image of a person in action, we can easily guess the 3D motion of the person in the
immediate past and future. This is because we have a mental model of 3D human dynamics …

While the accuracy of 3D human pose estimation from images has steadily improved on
benchmark datasets, the best methods still fail in many real-world scenarios. This suggests …