Since the popularisation of the Internet in the 1990s, the cyberspace has kept evolving. We
have created various computer-mediated virtual environments including social networks …

Estimating human pose and shape from monocular images is a long-standing problem in
computer vision. Since the release of statistical body models, 3D human mesh recovery has …

Along with the massive growth of the Internet from the 1990s until now, various innovative
technologies have been created to bring users breathtaking experiences with more virtual …

Estimating 3D humans from images often produces implausible bodies that lean, float, or
penetrate the floor. Such methods ignore the fact that bodies are typically supported by the …

Inferring human-scene contact (HSC) is the first step toward understanding how humans
interact with their surroundings. While detecting 2D human-object interaction (HOI) and …

Human-centric visual tasks have attracted increasing research attention due to their
widespread applications. In this paper, we aim to learn a general human representation from …

This paper focuses on the problem of 3D human reconstruction from 2D evidence. Although
this is an inherently ambiguous problem, the majority of recent works avoid the uncertainty …

We address the problem of action-conditioned generation of human motion sequences.
Existing work falls into two categories: forecast models conditioned on observed past …

Human pose estimation (HPE) has become a prevalent research topic in computer vision.
The technology can be applied in many areas, such as video surveillance, medical …

The analysis of human gait is an important tool in medicine and rehabilitation to evaluate the
effects and the progression of neurological diseases resulting in neuromotor disorders. In …