Recognizing human activities from video sequences or still images is a challenging task due
to problems, such as background clutter, partial occlusion, changes in scale, viewpoint …

Nowadays, robots are dominating the manufacturing, entertainment, and healthcare
industries. Robot vision aims to equip robots with the capabilities to discover information …

Building a robot that can understand and learn to interact by watching humans has inspired
several vision problems. However, despite some successful results on static datasets, it …

Recent successes in image synthesis are powered by large-scale diffusion models.
However, most methods are currently limited to either text-or image-conditioned generation …

To understand and analyze human behavior, we need to capture humans moving in, and
interacting with, the world. Most existing methods perform 3D human pose estimation …

One of the fundamental goals of visual perception is to allow agents to meaningfully interact
with their environment. In this paper, we take a step towards that long-term goal--we extract …

Abstract We introduce (HPS) Human POSEitioning System, a method to recover the full 3D
pose of a human registered with a 3D scan of the surrounding environment using wearable …

We study the problem of inferring scene affordances by presenting a method for realistically
inserting people into scenes. Given a scene image with a marked region and an image of a …

Abstract Reasoning the human-object interactions (HOI) is essential for deeper scene
understanding, while object affordances (or functionalities) are of great importance for …

We present a method that infers spatial arrangements and shapes of humans and objects in
a globally consistent 3D scene, all from a single image in-the-wild captured in an …