RPM: RF-based pose machines

C Xie, D Zhang, Z Wu, C Yu, Y Hu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Radio-frequency (RF) based human sensing technologies, due to their great practical value
in various applications and privacy-preserving nature, have gained tremendous attention in …

RPM 2.0: RF-Based Pose Machines for Multi-Person 3D Pose Estimation

C Xie, D Zhang, Z Wu, C Yu, Y Hu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Advanced human sensing technologies based on radio frequency (RF) signals have gained
widespread attention in recent years. However, due to the sparsity and incompleteness of …

Hierarchical associative encoding and decoding for bottom-up human pose estimation

C Du, Z Yan, H Yu, L Yu, Z Xiong - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Bottom-up human pose estimation decouples computational complexity from the number of
people but requires additional operations to match the detected keypoints to each human …

Accurate human pose estimation using RF signals

C Xie, D Zhang, Z Wu, C Yu, Y Hu… - 2022 IEEE 24th …, 2022 - ieeexplore.ieee.org
Radio-frequency (RF) based human sensing technologies, due to their great practical value
in various applications and privacy-preserving nature, have gained tremendous attention in …

Adaptivepose++: A powerful single-stage network for multi-person pose regression

Y Xiao, X Wang, D Yu, K Su, L Jin, M Song… - arXiv preprint arXiv …, 2022 - arxiv.org
Multi-person pose estimation generally follows top-down and bottom-up paradigms. Both of
them use an extra stage ($\boldsymbol {eg,} $ human detection in top-down paradigm or …

A Graph Convolution Network and Fuzzy C-Means Based Human Skeleton Complement Method for Action Recognition Dataset Improvement

S Qian, H Pu, F Yu - 2023 18th International Conference on …, 2023 - ieeexplore.ieee.org
In action recognition models, human skeletons which are usually generated by the pose
estimation algorithms play a significant role. However, nearly all pose estimation algorithms …