Deep learning-based human pose estimation: A survey

C Zheng, W Wu, C Chen, T Yang, S Zhu, J Shen… - ACM Computing …, 2023 - dl.acm.org
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 …

mmMesh: Towards 3D real-time dynamic human mesh construction using millimeter-wave

H Xue, Y Ju, C Miao, Y Wang, S Wang… - Proceedings of the 19th …, 2021 - dl.acm.org
In this paper, we present mmMesh, the first real-time 3D human mesh estimation system
using commercial portable millimeter-wave devices. mmMesh is built upon a novel deep …

m3Track: mmwave-based multi-user 3D posture tracking

H Kong, X Xu, J Yu, Q Chen, C Ma, Y Chen… - Proceedings of the 20th …, 2022 - dl.acm.org
Nowadays, the market of 3D human posture tracking has extended to a broad range of
application scenarios. As current mainstream solutions, vision-based posture tracking …

Pantomime: Mid-air gesture recognition with sparse millimeter-wave radar point clouds

S Palipana, D Salami, LA Leiva, S Sigg - Proceedings of the ACM on …, 2021 - dl.acm.org
We introduce Pantomime, a novel mid-air gesture recognition system exploiting spatio-
temporal properties of millimeter-wave radio frequency (RF) signals. Pantomime is …

Towards domain-independent and real-time gesture recognition using mmwave signal

Y Li, D Zhang, J Chen, J Wan, D Zhang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Human gesture recognition using millimeter-wave (mmWave) signals provides attractive
applications including smart home and in-car interfaces. While existing works achieve …

Through fog high-resolution imaging using millimeter wave radar

J Guan, S Madani, S Jog, S Gupta… - Proceedings of the …, 2020 - openaccess.thecvf.com
This paper demonstrates high-resolution imaging using millimeter Wave (mmWave) radars
that can function even in dense fog. We leverage the fact that mmWave signals have …

See through smoke: robust indoor map** with low-cost mmwave radar

CX Lu, S Rosa, P Zhao, B Wang, C Chen… - Proceedings of the 18th …, 2020 - dl.acm.org
This paper presents the design, implementation and evaluation of milliMap, a single-chip
millimetre wave (mmWave) radar based indoor map** system targetted towards low …

NELoRa: Towards ultra-low SNR LoRa communication with neural-enhanced demodulation

C Li, H Guo, S Tong, X Zeng, Z Cao, M Zhang… - Proceedings of the 19th …, 2021 - dl.acm.org
Low-Power Wide-Area Networks (LPWANs) are an emerging Internet-of-Things (IoT)
paradigm marked by low-power and long-distance communication. Among them, LoRa is …

Towards generalized mmwave-based human pose estimation through signal augmentation

H Xue, Q Cao, C Miao, Y Ju, H Hu, A Zhang… - Proceedings of the 29th …, 2023 - dl.acm.org
The unprecedented advance of wireless human sensing is enabled by the proliferation of
the deep learning techniques, which, however, rely heavily on the completeness and …