Estimation of the human pose from a monocular camera has been an emerging research
topic in the computer vision community with many applications. Recently, benefiting from the …

Accurate whole-body multi-person pose estimation and tracking is an important yet
challenging topic in computer vision. To capture the subtle actions of humans for complex …

Human pose estimation refers to the estimation of the location of body parts and how they
are connected in an image. Human pose estimation from monocular images has wide …

Multi-person pose estimation in the wild is challenging. Although state-of-the-art human
detectors have demonstrated good performance, small errors in localization and recognition …

We propose a method for multi-person detection and 2-D pose estimation that achieves
state-of-art results on the challenging COCO keypoints task. It is a simple, yet powerful, top …

In this paper, we propose a novel graph convolutional network architecture, Graph Stacked
Hourglass Networks, for 2D-to-3D human pose estimation tasks. The proposed architecture …

The goal of this paper is to advance the state-of-the-art of articulated pose estimation in
scenes with multiple people. To that end we contribute on three fronts. We propose (1) …

This paper considers the task of articulated human pose estimation of multiple people in real
world images. We propose an approach that jointly solves the tasks of detection and pose …

In this paper, we present MultiPoseNet, a novel bottom-up multi-person pose estimation
architecture that combines a multi-task model with a novel assignment method …

Human parsing has received considerable interest due to its wide application potentials.
Nevertheless, it is still unclear how to develop an accurate human parsing system in an …