To facilitate the analysis of human actions, interactions and emotions, we compute a 3D
model of human body pose, hand pose, and facial expression from a single monocular image. …

To understand how people look, interact, or perform tasks, we need to quickly and accurately
capture their 3D body, face, and hands together from an RGB image. Most existing …

Most state-of-the-art methods for action recognition rely on a two-stream architecture that
processes appearance and motion independently. In this paper, we claim that considering …

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 without …

Generating digital humans that move realistically has many applications and is widely studied,
but existing methods focus on the major limbs of the body, ignoring the hands and head. …

While methods that regress 3D human meshes from images have progressed rapidly, the
estimated body shapes often do not capture the true human shape. This is problematic since, …

Recovering expressive humans from images is essential for understanding human behavior.
Methods that estimate 3D bodies, faces, or hands have progressed significantly, yet …

Sign language (SL) is the primary method of communication for the 70 million Deaf people
around the world. Video dictionaries of isolated signs are a core SL learning tool. Replacing …

Understanding how humans interact with the world necessitates accurate 3D hand pose
estimation, a task complicated by the hand's high degree of articulation, frequent occlusions, self…

Current methods for spatiotemporal action tube detection often extend a bounding box
proposal at a given key-frame into a 3D temporal cuboid and pool features from nearby frames. …