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Human Pose Regression by Combining Indirect Part Detection and Contextual Information

arXiv 1710.02322 ↗First posted 6 Oct 2017cs.CVcited by 52

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Abstract (arXiv)

In this paper, we propose an end-to-end trainable regression approach for human pose estimation from still images. We use the proposed Soft-argmax function to convert feature maps directly to joint coordinates, resulting in a fully differentiable framework. Our method is able to learn heat maps representations indirectly, without additional steps of artificial ground truth generation. Consequently, contextual information can be included to the pose predictions in a seamless way. We evaluated our method on two very challenging datasets, the Leeds Sports Poses (LSP) and the MPII Human Pose datasets, reaching the best performance among all the existing regression methods and comparable results to the state-of-the-art detection based approaches.

Key facts. Cited by 52 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 Oct 2017.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 14; 2022: 9; 2023: 12; 2024: 8; 2025: 4; 2026: 5.

52 papers.

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  1. 2022AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Timecited by 199
  2. 2021BANMo: Building Animatable 3D Neural Models from Many Casual Videoscited by 195
  3. 2021SPEC: Seeing People in the Wild with an Estimated Cameracited by 134
  4. 2021Human Pose Regression with Residual Log-likelihood Estimationcited by 131
  5. 2021Recent Advances in Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspectivecited by 49
  6. 2021Wide-Baseline Relative Camera Pose Estimation with Directional Learningcited by 49
  7. 2021Learning to Disambiguate Strongly Interacting Hands via Probabilistic Per-pixel Part Segmentationcited by 40
  8. 2023A Review of Deep Learning for Video Captioningcited by 28
  9. 2023Recurrence without Recurrence: Stable Video Landmark Detection with Deep Equilibrium Modelscited by 26
  10. 2021A Survey on Human-aware Robot Navigationcited by 23
  11. 20222D Human Pose Estimation: A Surveycited by 21
  12. 2023U-BEV: Height-aware Bird's-Eye-View Segmentation and Neural Map-based Relocalizationcited by 13
38 more
  1. 2021Real-time Outdoor Localization Using Radio Maps: A Deep Learning Approachcited by 12
  2. 2021Localization with Sampling-Argmaxcited by 11
  3. 2022Unsupervised Multi-object Segmentation Using Attention and Soft-argmaxcited by 11
  4. 2024S3O: A Dual-Phase Approach for Reconstructing Dynamic Shape and Skeleton of Articulated Objects from Single Monocular Videocited by 11
  5. 2021Low-resolution Human Pose Estimationcited by 10
  6. 2023CAMM: Building Category-Agnostic and Animatable 3D Models from Monocular Videoscited by 10
  7. 2023Scene-aware Human Pose Generation using Transformercited by 9
  8. 2024Learning Implicit Representation for Reconstructing Articulated Objectscited by 9
  9. 2024ProbPose: A Probabilistic Approach to 2D Human Pose Estimationcited by 9
  10. 2022Interpretable Vertebral Fracture Quantification via Anchor-Free Landmarks Localizationcited by 8
  11. 2021Single-Shot Cuboids: Geodesics-based End-to-end Manhattan Aligned Layout Estimation from Spherical Panoramascited by 7
  12. 2021SALYPATH: A Deep-Based Architecture for visual attention predictioncited by 7
  13. 2023Human Pose-based Estimation, Tracking and Action Recognition with Deep Learning: A Surveycited by 6
  14. 2023Human Body Pose Estimation for Gait Identification: A Comprehensive Survey of Datasets and Modelscited by 5
  15. 2025FRAME: Floor-aligned Representation for Avatar Motion from Egocentric Videocited by 5
  16. 2022SalyPath360: Saliency and Scanpath Prediction Framework for Omnidirectional Imagescited by 4
  17. 2022PedRecNet: Multi-task deep neural network for full 3D human pose and orientation estimationcited by 4
  18. 2023Bias-Compensated Integral Regression for Human Pose Estimationcited by 3
  19. 2025MonoCLUE : Object-Aware Clustering Enhances Monocular 3D Object Detectioncited by 2
  20. 2021Separable Batch Normalization for Robust Facial Landmark Localization with Cross-protocol Network Trainingcited by 1
  21. 2022A Lightweight Domain Adaptive Absolute Pose Regressor Using Barlow Twins Objectivecited by 1
  22. 2023SDR-GAIN: A High Real-Time Occluded Pedestrian Pose Completion Method for Autonomous Drivingcited by 1
  23. 2024Deep Learning Techniques for Automatic Lateral X-ray Cephalometric Landmark Detection: Is the Problem Solved?cited by 1
  24. 2024MamKPD: A Simple Mamba Baseline for Real-Time 2D Keypoint Detectioncited by 1
  25. 2026Mechanistic Interpretability for Learning Assurance of a Vision-Based Landing Systemcited by 1
  26. 2021CLTA: Contents and Length-based Temporal Attention for Few-shot Action Recognitioncited by 0
  27. 2022Performance of different machine learning methods on activity recognition and pose estimation datasetscited by 0
  28. 2022Advanced Baseline for 3D Human Pose Estimation: A Two-Stage Approachcited by 0
  29. 2023LocalEyenet: Deep Attention framework for Localization of Eyescited by 0
  30. 2023Error Estimation for Single-Image Human Body Mesh Reconstructioncited by 0
  31. 2023Noise-in, Bias-out: Balanced and Real-time MoCap Solvingcited by 0
  32. 2024Learning Human Motion from Monocular Videos via Cross-Modal Manifold Alignmentcited by 0
  33. 2024Semi-supervised 2D Human Pose Estimation via Adaptive Keypoint Maskingcited by 0
  34. 2024HRPVT: High-Resolution Pyramid Vision Transformer for medium and small-scale human pose estimationcited by 0
  35. 2025Refinement Module based on Parse Graph for Human Pose Estimationcited by 0
  36. 2025Dual-stream Transformer-GCN Model with Contextualized Representations Learning for Monocular 3D Human Pose Estimationcited by 0
  37. 2026BBoxMaskPose v2: Expanding Mutual Conditioning to 3Dcited by 0
  38. 2026MoCA3D: Monocular 3D Bounding Box Prediction in the Image Planecited by 0

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