Human pose estimation is the process of detecting the body keypoints of a person and can
be used to classify different poses. Many researchers have proposed various ways to get a …

This paper proposes a simple baseline framework for video-based 2D/3D human pose
estimation that can achieve 10× efficiency improvement over existing works without any …

Human pose estimation in videos has wide-ranging practical applications across various
fields, many of which require fast inference on resource-scarce devices, necessitating the …

Abstract 3D human pose estimation and mesh recovery have attracted widespread research
interest in many areas, such as computer vision, autonomous driving, and robotics. Deep …

Human Pose Estimation (HPE) based on RGB images has experienced a rapid
development benefiting from deep learning. However, event-based HPE has not been fully …

Real-time video perception tasks are often challenging on resource-constrained edge
devices due to the issues of accuracy drop and hardware overhead, where saving …

Real-time depth estimation is critical for the increasingly popular augmented reality and
virtual reality applications on mobile devices. Yet existing solutions are insufficient as they …

Transformers have been successfully applied in the field of video-based 3D human pose
estimation. However the high computational costs of these video pose transformers (VPTs) …

Estimating absolute 3D poses of multiple people from monocular image is challenging due
to the presence of occlusions and the scale variation among different persons. Among the …

Ski jumping is one of the oldest winter sports and takes also part in the Winter Olympics from
the very start in 1924. One of the components of the final score, which is used for ranking the …