Recently, the vision transformer and its variants have played an increasingly important role
in both monocular and multi-view human pose estimation. Considering image patches as …

While the voxel-based methods have achieved promising results for multi-person 3D pose
estimation from multi-cameras, they suffer from heavy computation burdens, especially for …

Aiming at the problem of develo** efficient models for human pose estimation algorithms
under computation-limited resources. In this paper, we proposed an efficient high-resolution …

Existing deep learning-based human mesh reconstruction approaches have a tendency to
build larger networks to achieve higher accuracy. Computational complexity and model size …

In recent years, 2D human pose estimation has made significant progress on public
benchmarks. However, many of these approaches face challenges of less applicability in the …

Human pose estimation (HPE), particularly multiperson pose estimation (MPPE), has been
applied in many domains, such as human–machine systems. However, the current MPPE …

The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed
proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel …

Most previous advanced backbones usually ignore the requirements on real-time and
speed, which are directly affected by model size. In our study, we present a light-weight …

2D human pose estimation has essential applications in traffic prediction and human-
computer interaction. We propose a pose refinement network for refining human pose …

This project aims to develop an extension to automated gait analysis that makes gait
analysis available on smart devices. The alternative may serve as a baseline for future …