This study is about real-time 2D-3D human pose estimation without using the a priori
structure of the skeleton and with a low number of parameters for regression tasks. Current …

To accurately estimate 3D human pose from monocular camera images, a large amount of
3D annotated data is required. However, obtaining 3D annotated data outside the laboratory …

The cascaded self-attention module of vision transformer is good at learning the global
correlation between joints for 3D human pose estimation. However, it is still a challenging …

Estimating the pose of a human in 3D given an image or a video has recently received
significant attention from the scientific community. The main reasons for this trend are the …

Abstract 3D human pose estimation in videos aims at locating the human joints in the 3D
space given a temporal sequence. Motion information and skeleton context are two …

Recent studies show that the end-to-end learning paradigm based on well-designed lifting
networks merely using 2D joint locations as the input can achieve impressive performance …

Abstract Three-dimensional (3D) human pose estimation involves estimating the articulated
3D joint locations of a human body from an image or video. Due to its widespread …

In monocular 3D human pose estimation, target motions are generally stable and
continuous, which indicates that joint velocity can provide valuable information for better …

Abstract 3D human pose estimation from a single image is still a challenging problem
despite the large amount of work that has been performed in this field. Generally, most …

This paper aims to study two major research problems for 3D human pose estimation using
depth data. First we seek an effective way for applying the RGB pre-trained 2D CNN model …