Human pose estimation aims to locate the human body parts and build human body
representation (eg, body skeleton) from input data such as images and videos. It has drawn …

The pandemic of coronavirus disease 2019 (COVID-19) is spreading all over the world.
Medical imaging such as X-ray and computed tomography (CT) plays an essential role in …

Long short-term memory (LSTM) has transformed both machine learning and
neurocomputing fields. According to several online sources, this model has improved …

Vision-based monocular human pose estimation, as one of the most fundamental and
challenging problems in computer vision, aims to obtain posture of the human body from …

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 …

Multi-frame human pose estimation in complicated situations is challenging. Although state-
of-the-art human joints detectors have demonstrated remarkable results for static images …

Human pose estimation aims at predicting the poses of human body parts in images or
videos. Since pose motions are often driven by some specific human actions, knowing the …

We propose UniPose, a unified framework for human pose estimation, based on our"
Waterfall" Atrous Spatial Pooling architecture, that achieves state-of-art-results on several …

Denoising diffusion probabilistic models that were initially proposed for realistic image
generation have recently shown success in various perception tasks (eg, object detection …

Multi-frame human pose estimation has long been a compelling and fundamental problem
in computer vision. This task is challenging due to fast motion and pose occlusion that …