mlsanityData to 14 Oct 2026

Fast and Scalable Human Pose Estimation using mmWave Point Cloud

arXiv 2205.00097 ↗First posted 29 Apr 2022eess.IVcited by 20

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Abstract (arXiv)

Millimeter-Wave (mmWave) radar can enable high-resolution human pose estimation with low cost and computational requirements. However, mmWave data point cloud, the primary input to processing algorithms, is highly sparse and carries significantly less information than other alternatives such as video frames. Furthermore, the scarce labeled mmWave data impedes the development of machine learning (ML) models that can generalize to unseen scenarios. We propose a fast and scalable human pose estimation (FUSE) framework that combines multi-frame representation and meta-learning to address these challenges. Experimental evaluations show that FUSE adapts to the unseen scenarios 4× faster than current supervised learning approaches and estimates human joint coordinates with about 7 cm mean absolute error.

Key facts. Cited by 20 papers in the map (data through 14 Oct 2026). First posted on arXiv 29 Apr 2022.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 1; 2023: 1; 2024: 3; 2025: 6; 2026: 9.

20 papers.

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  1. 2023MM-Fi: Multi-Modal Non-Intrusive 4D Human Dataset for Versatile Wireless Sensingcited by 79
  2. 2022mRI: Multi-modal 3D Human Pose Estimation Dataset using mmWave, RGB-D, and Inertial Sensorscited by 38
  3. 2024Diffusion Model is a Good Pose Estimator from 3D RF-Visioncited by 22
  4. 2024X-Fi: A Modality-Invariant Foundation Model for Multimodal Human Sensingcited by 13
  5. 2025Towards Balanced Multi-Modal Learning in 3D Human Pose Estimationcited by 12
  6. 2025M4Human: A Large-Scale Multimodal mmWave Radar Benchmark for Human Mesh Reconstructioncited by 7
  7. 2024Human Modelling and Pose Estimation Overviewcited by 4
  8. 2025mmPred: Radar-based Human Motion Prediction in the Darkcited by 3
  9. 2025GenHPE: Generative Counterfactuals for 3D Human Pose Estimation with Radio Frequency Signalscited by 1
  10. 2025HoloLLM: Multisensory Foundation Model for Language-Grounded Human Sensing and Reasoningcited by 1
  11. 2025mmJoints: Expanding Joint Representations Beyond (x,y,z) in mmWave-Based 3D Pose Estimationcited by 1
  12. 2026Expanding mmWave Datasets for Human Pose Estimation with Unlabeled Data and LiDAR Datasetscited by 1
8 more
  1. 2026Wave2Body: Rethinking mmWave Human Pose Estimation as Radar-to-Body Token Translationcited by 1
  2. 2026PCFEx: Point Cloud Feature Extraction for Graph Neural Networkscited by 0
  3. 2026mmGAT: Pose Estimation by Graph Attention with Mutual Features from mmWave Radar Point Cloudcited by 0
  4. 2026Privacy-Preserving Industrial Ergonomics: mmWave-Based Automated REBA Scoring and Pose Estimationcited by 0
  5. 2026RePos: Relative-to-Absolute Pose Factorization for Cross-Environment WiFi-Based 3D Human Pose Estimationcited by 0
  6. 2026Learning Biomechanically Plausible Human Motion from Sparse Radar Point Cloudscited by 0
  7. 2026You Only Flow Once: Calibrated and Real-Time Radar Pose Estimation with Multi-Hypothesis Normalizing Flowscited by 0
  8. 2026Can Language Models Understand mmWave Data? Benchmarking Large Language Models for mmWave Radar-Based Human Understandingcited by 0