6D pose estimation is a common and important task in industry. Obtaining the 6D pose of
objects is the basis for many other functions such as bin picking, autopilot, etc. Therefore …

Joint estimation of the human body is suitable for many fields such as human–computer
interaction, autonomous driving, video analysis and virtual reality. Although many depth …

Abstract 3D human pose estimation (3D HPE) in autonomous vehicles (AV) differs from
other use cases in many factors, including the 3D resolution and range of data, absence of …

Training a 3D human keypoint detector from point clouds in a supervised manner requires
large volumes of high quality labels. While it is relatively easy to capture large amounts of …

Abstract 3D human pose estimation is a key component of clinical monitoring systems. The
clinical applicability of deep pose estimation models, however, is limited by their poor …

Single-photon–sensitive depth sensors are being increasingly used in next-generation
electronics for human pose and gesture recognition. However, cost-effective sensors …

Vascular structure segmentation plays a crucial role in medical analysis and clinical
applications. The practical adoption of fully supervised segmentation models is impeded by …

Accurate 3D human pose estimation (3D HPE) is crucial for enabling autonomous vehicles
(AVs) to make informed decisions and respond proactively in critical road scenarios …

Abstract 3D human pose estimation is a fundamental problem in artificial intelligence, and it
has wide applications in AR/VR, HCI and robotics. However, human pose estimation from …

In this paper, we address the problem of capturing both the shape and the pose of a human
character using a single depth sensor. Some previous works proposed to fit a parametric …