mlsanityData to 14 Oct 2026

Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation

arXiv 1911.10529 ↗First posted 24 Nov 2019cs.CVcited by 27

Not on the map. Why?

Abstract (arXiv)

We rethink a well-know bottom-up approach for multi-person pose estimation and propose an improved one. The improved approach surpasses the baseline significantly thanks to (1) an intuitional yet more sensible representation, which we refer to as body parts to encode the connection information between keypoints, (2) an improved stacked hourglass network with attention mechanisms, (3) a novel focal L2 loss which is dedicated to hard keypoint and keypoint association (body part) mining, and (4) a robust greedy keypoint assignment algorithm for grouping the detected keypoints into individual poses. Our approach not only works straightforwardly but also outperforms the baseline by about 15% in average precision and is comparable to the state of the art on the MS-COCO test-dev dataset. The code and pre-trained models are publicly available online.

Key facts. Cited by 27 papers in the map (data through 14 Oct 2026). First posted on arXiv 24 Nov 2019.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 8; 2022: 6; 2023: 8; 2024: 1; 2025: 3; 2026: 1.

27 papers.

Sort:

By area:

  1. 2021Bottom-Up Human Pose Estimation Via Disentangled Keypoint Regressioncited by 112
  2. 2021Online Knowledge Distillation for Efficient Pose Estimationcited by 55
  3. 2021Recent Advances in Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspectivecited by 50
  4. 2021Differentiable Multi-Granularity Human Representation Learning for Instance-Aware Human Semantic Parsingcited by 31
  5. 2022HuPR: A Benchmark for Human Pose Estimation Using Millimeter Wave Radarcited by 31
  6. 20222D Human Pose Estimation: A Surveycited by 21
  7. 2021Learning Local-Global Contextual Adaptation for Multi-Person Pose Estimationcited by 14
  8. 2022Explicit Occlusion Reasoning for Multi-person 3D Human Pose Estimationcited by 10
  9. 2023Humans as Light Bulbs: 3D Human Reconstruction from Thermal Reflectioncited by 10
  10. 2025MoCapAnything: Unified 3D Motion Capture for Arbitrary Skeletons from Monocular Videoscited by 10
  11. 2023Self-Correctable and Adaptable Inference for Generalizable Human Pose Estimationcited by 7
  12. 2022AdaptivePose++: A Powerful Single-Stage Network for Multi-Person Pose Regressioncited by 6
15 more
  1. 2023Human Body Pose Estimation for Gait Identification: A Comprehensive Survey of Datasets and Modelscited by 5
  2. 2022Morphology-Aware Interactive Keypoint Estimationcited by 4
  3. 2021Real-time Pose Estimation from Images for Multiple Humanoid Robotscited by 3
  4. 2025Group Inertial Poser: Multi-Person Pose and Global Translation from Sparse Inertial Sensors and Ultra-Wideband Rangingcited by 3
  5. 2023SpaDen : Sparse and Dense Keypoint Estimation for Real-World Chart Understandingcited by 2
  6. 2021Incremental Learning for Animal Pose Estimation using RBF k-DPPcited by 1
  7. 2023X-HRNet: Towards Lightweight Human Pose Estimation with Spatially Unidimensional Self-Attentioncited by 1
  8. 2025Attend-and-Refine: Interactive keypoint estimation and quantitative cervical vertebrae analysis for bone age assessmentcited by 1
  9. 2021Greedy Offset-Guided Keypoint Grouping for Human Pose Estimationcited by 0
  10. 2022SHOP: A Deep Learning Based Pipeline for near Real-Time Detection of Small Handheld Objects Present in Blurry Videocited by 0
  11. 2023Towards High Performance One-Stage Human Pose Estimationcited by 0
  12. 2023Global Relation Modeling and Refinement for Bottom-Up Human Pose Estimationcited by 0
  13. 2023Spatial Attention-based Distribution Integration Network for Human Pose Estimationcited by 0
  14. 2024Efficient High-Resolution Visual Representation Learning with State Space Model for Human Pose Estimationcited by 0
  15. 2026RoSHI: A Versatile Robot-oriented Suit for Human Data In-the-Wildcited by 0