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Abstract (arXiv)
We present a fast bottom-up method that jointly detects over 100 keypoints on humans or objects, also referred to as human/object pose estimation. We model all keypoints belonging to a human or an object -- the pose -- as a graph and leverage insights from community detection to quantify the independence of keypoints. We use a graph centrality measure to assign training weights to different parts of a pose. Our proposed measure quantifies how tightly a keypoint is connected to its neighborhood. Our experiments show that our method outperforms all previous methods for human pose estimation with fine-grained keypoint annotations on the face, the hands and the feet with a total of 133 keypoints. We also show that our method generalizes to car poses.
Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 27 of its 40 references that are in the map. First posted on arXiv 3 Oct 2021.
Builds on
27 of 40 references.
References · 27
- 2015Deep Residual Learning for Image Recognitioncited by 51,809
- 2014Microsoft COCO: Common Objects in Contextcited by 17,498
- 2017Mask R-CNNcited by 7,259
- 2017What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?cited by 2,335
- 2019Deep High-Resolution Representation Learning for Human Pose Estimationcited by 1,339
- 2016Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Networkcited by 1,199
- 2018OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fieldscited by 1,161
- 2018ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Designcited by 1,132
- 2016Realtime Multi-Person 2D Pose Estimation using Part Affinity Fieldscited by 1,061
- 2016Stacked Hourglass Networks for Human Pose Estimationcited by 913
- 2018Simple Baselines for Human Pose Estimation and Trackingcited by 502
- 2016Convolutional Pose Machinescited by 325
15 more
- 2013DeepPose: Human Pose Estimation via Deep Neural Networkscited by 305
- 2019HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimationcited by 247
- 2016Associative Embedding: End-to-End Learning for Joint Detection and Groupingcited by 211
- 2018Markerless tracking of user-defined features with deep learningcited by 203
- 2020Whole-Body Human Pose Estimation in the Wildcited by 178
- 2018PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Modelcited by 133
- 2019PifPaf: Composite Fields for Human Pose Estimationcited by 120
- 2015DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimationcited by 117
- 2018ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Drivingcited by 59
- 2021OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Associationcited by 55
- 2018MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Networkcited by 47
- 2019Convolutional Relational Machine for Group Activity Recognitioncited by 34
- 2020GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervisioncited by 28
- 2020Detecting 32 Pedestrian Attributes for Autonomous Vehiclescited by 10
- 2020Perceiving Humans: from Monocular 3D Localization to Social Distancingcited by 6
Built on by
Citing papers per year: 2022: 4; 2023: 1; 2024: 2; 2025: 1.
8 papers.
- 2022Jointly Harnessing Prior Structures and Temporal Consistency for Sign Language Video Generationcited by 14
- 2022VL4Pose: Active Learning Through Out-Of-Distribution Detection For Pose Estimationcited by 9
- 2022Body-Part Joint Detection and Association via Extended Object Representationcited by 5
- 2023BPJDet: Extended Object Representation for Generic Body-Part Joint Detectioncited by 2
- 2024PBADet: A One-Stage Anchor-Free Approach for Part-Body Associationcited by 1
- 2024PAFUSE: Part-based Diffusion for 3D Whole-Body Pose Estimationcited by 1
- 2022UV R-CNN: Stable and Efficient Dense Human Pose Estimationcited by 0
- 2025Incremental Object Keypoint Learningcited by 0
- 2025Incremental Object Keypoint Learning26 Mar 2025
- 2024PAFUSE: Part-based Diffusion for 3D Whole-Body Pose Estimation14 Jul 2024
- 2024PBADet: A One-Stage Anchor-Free Approach for Part-Body Association12 Feb 2024
- 2023BPJDet: Extended Object Representation for Generic Body-Part Joint Detection21 Apr 2023
- 2022Body-Part Joint Detection and Association via Extended Object Representation15 Dec 2022
- 2022UV R-CNN: Stable and Efficient Dense Human Pose Estimation4 Nov 2022
- 2022VL4Pose: Active Learning Through Out-Of-Distribution Detection For Pose Estimation12 Oct 2022
- 2022Jointly Harnessing Prior Structures and Temporal Consistency for Sign Language Video Generation8 Jul 2022