In recent years, there has been a significant increase in focus on the interpolation task of
computer vision. Despite the tremendous advancement of video interpolation, point cloud …

Feature extraction is a key step for deep-learning-based point cloud registration. In the
correspondence-free point cloud registration task, the previous work commonly aggregates …

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 …

This work studies the multi-human parsing problem. Existing methods, either following top-
down or bottom-up two-stage paradigms, usually involve expensive computational costs. We …

The human pose has a natural graphic structure. Therefore, in recent years, many studies on
human pose estimation is based on graph convolutional networks (GCNs). However, the …

This article proposes a 3-D human pose estimation method using through-wall radar (TWR)
systems, which extends and supplements new applications in the era of the Internet of …

Abstract 3D human pose estimation from monocular images has shown great success due
to the sophisticated deep network architectures and large 3D human pose datasets …

Point Cloud Interpolation confronts challenges from point sparsity, complex spatiotemporal
dynamics, and the difficulty of deriving complete 3D point clouds from sparse temporal …

Hand pose estimation is a challenging task in hand-object interaction scenarios due to the
uncertainty caused by object occlusions. Inspired by human reasoning from a hand-object …

Recently, several methods have been proposed to estimate 3D human pose from multi-view
images and achieved impressive performance on public datasets collected in relatively easy …