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 …

Expressive human pose and shape estimation (aka 3D whole-body mesh recovery) involves
the human body hand and expression estimation. Most existing methods have tackled this …

Referring expressions for visual objects often include descriptions of relative spatial
arrangements to other objects--eg" to the right of"--that depend on the point of view of the …

Estimating human and camera trajectories with accurate scale in the world coordinate
system from a monocular video is a highly desirable yet challenging and ill-posed problem …

In the everyday IoT ecosystem, many devices and systems are interconnected in an
intelligent living environment to create a comfortable and efficient living space. In this …

Transformer models excel at capturing long-range dependencies in sequential data, but lack
explicit mechanisms to leverage structural patterns inherent in fixed-length input sequences …

Expressive Human Mesh Recovery (HMR) involves reconstructing the 3D human body,
including hands and face, from RGB images. It is difficult because humans are highly …

Given a pair of images depicting a person and a garment separately, image-based 3D
virtual try-on methods aim to reconstruct a 3D human model that realistically portrays the …