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 …

We present an approach to reconstruct humans and track them over time. At the core of our
approach, we propose a fully" transformerized" version of a network for human mesh …

Regression-based methods have recently shown promising results in reconstructing human
meshes from monocular images. By directly map** raw pixels to model parameters, these …

Top-down methods for monocular human mesh recovery have two stages:(1) detect human
bounding boxes;(2) treat each bounding box as an independent single-human mesh …

In this paper, we propose a novel local descriptor-based framework, called You Only
Hypothesize Once (YOHO), for the registration of two unaligned point clouds. In contrast to …

Occlusions between human and objects, especially for the activities of human-object
interactions, are very common in practical applications. However, most of the existing …

Visible-Infrared person re-identification (VI-ReID) aims to match cross-modality pedestrian
images, breaking through the limitation of single-modality person ReID in dark environment …

Abstract 3D human body pose estimation and mesh recovery refer to the approximation of
body parts and joint locations and their recovery into a 3D model to visualize the …

This paper addresses the problem of monocular 3D human shape and pose estimation from
an RGB image. Despite great progress in this field in terms of pose prediction accuracy …

This paper addresses the problem of 3D human body shape and pose estimation from an
RGB image. This is often an ill-posed problem, since multiple plausible 3D bodies may …