Fast and scalable human pose estimation using mmWave point cloud

Author:

An Sizhe1,Ogras Umit Y.1

Affiliation:

1. University of Wisconsin-Madison

Funder

NSF CAREER

Publisher

ACM

Reference22 articles.

1. Sizhe An , Ganapati Bhat , Suat Gumussoy , and Umit Ogras . 2020. Transfer Learning for Human Activity Recognition using Representational Analysis of Neural Networks. arXiv preprint arXiv:2012.04479 ( 2020 ). Sizhe An, Ganapati Bhat, Suat Gumussoy, and Umit Ogras. 2020. Transfer Learning for Human Activity Recognition using Representational Analysis of Neural Networks. arXiv preprint arXiv:2012.04479 (2020).

2. MARS: mmWave-based Assistive Rehabilitation System for Smart Healthcare

3. Abhijat Biswas and Shubham Agrawal. 2018. First-order Meta-Learned Initialization for Faster Adaptation in Deep Reinforcement Learning. Nips. Abhijat Biswas and Shubham Agrawal. 2018. First-order Meta-Learned Initialization for Faster Adaptation in Deep Reinforcement Learning. Nips.

4. Chelsea Finn , Pieter Abbeel , and Sergey Levine . 2017 . Model-agnostic meta-learning for fast adaptation of deep networks . In International Conference on Machine Learning. PMLR, 1126--1135 . Chelsea Finn, Pieter Abbeel, and Sergey Levine. 2017. Model-agnostic meta-learning for fast adaptation of deep networks. In International Conference on Machine Learning. PMLR, 1126--1135.

5. Mask R-CNN

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1. Enabling Coexistence of Indoor Millimeter- Wave Networking and Human Activity Sensing;2024 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE);2024-06-19

2. mmGAT: Pose Estimation by Graph Attention with Mutual Features from mmWave Radar Point Cloud;ICC 2024 - IEEE International Conference on Communications;2024-06-09

3. VirTeach: mmWave Radar Point-Cloud-Based Pose Estimation With Virtual Data as a Teacher;IEEE Internet of Things Journal;2024-05-15

4. CNN-Based In-Vehicle Occupant Sensing Using Millimeter-Wave Radar;2024 IEEE Radar Conference (RadarConf24);2024-05-06

5. Fusion-competition framework of local topology and global texture for head pose estimation;Pattern Recognition;2024-05

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