% Key papers for Multi-person pose estimation (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2017_realtime_12570,
  title = {{Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2016_deepcut_11482,
  title = {{DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2017_multi_12466,
  title = {{Multi-Context Attention for Human Pose Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2019_crowdpose_13990,
  title = {{CrowdPose: Efficient Crowded Scenes Pose Estimation and a New Benchmark}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2018_attention_12849,
  title = {{Attention-Aware Compositional Network for Person Re-Identification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Xu_Attention-Aware_Compositional_Network_CVPR_2018_paper.html},
}

@inproceedings{cvpr2017_posetrack_12544,
  title = {{PoseTrack: Joint Multi-Person Pose Estimation and Tracking}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2019_fast_14199,
  title = {{Fast and Robust Multi-Person 3D Pose Estimation From Multiple Views}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2023_3d_20261,
  title = {{3D Human Pose Estimation With Spatio-Temporal Criss-Cross Attention}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21057},
}

@inproceedings{cvpr2019_posefix_14661,
  title = {{PoseFix: Model-Agnostic General Human Pose Refinement Network}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2020_unipose_16401,
  title = {{UniPose: Unified Human Pose Estimation in Single Images and Videos}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2022_end_18757,
  title = {{End-to-End Multi-Person Pose Estimation With Transformers}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2021_tessetrack_17990,
  title = {{TesseTrack: End-to-End Learnable Multi-Person Articulated 3D Pose Tracking}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{aaai2020_simple_103690,
  title = {{Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6797},
}

@inproceedings{cvpr2020_compressed_15267,
  title = {{Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2024_rtmo_24571,
  title = {{RTMO: Towards High-Performance One-Stage Real-Time Multi-Person Pose Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31895},
}

@inproceedings{cvpr2020_cross_15314,
  title = {{Cross-View Tracking for Multi-Human 3D Pose Estimation at Over 100 FPS}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2021_learning_17275,
  title = {{Learning Dynamics via Graph Neural Networks for Human Pose Estimation and Tracking}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{neurips2021_direct_63263,
  title = {{Direct Multi-view Multi-person 3D Pose Estimation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27788},
}

@inproceedings{cvpr2021_multi_17453,
  title = {{Multi-View Multi-Person 3D Pose Estimation With Plane Sweep Stereo}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2020_pandanet_16020,
  title = {{PandaNet: Anchor-Based Single-Shot Multi-Person 3D Pose Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2024_person_24454,
  title = {{Person-in-WiFi 3D: End-to-End Multi-Person 3D Pose Estimation with Wi-Fi}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30463},
}

@inproceedings{cvpr2024_selfpose3d_24793,
  title = {{SelfPose3d: Self-Supervised Multi-Person Multi-View 3d Pose Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29840},
}

@inproceedings{cvpr2024_diffusionregpose_23216,
  title = {{DiffusionRegPose: Enhancing Multi-Person Pose Estimation using a Diffusion-Based End-to-End Regression Approach}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30435},
}

@inproceedings{neurips2024_a_72755,
  title = {{A Benchmark Dataset for Event-Guided Human Pose Estimation and Tracking in Extreme Conditions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97631},
}

@inproceedings{cvpr2025_dynpose_26034,
  title = {{DynPose: Largely Improving the Efficiency of Human Pose Estimation by a Simple Dynamic Framework}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33188},
}

@inproceedings{cvpr2025_m3gym_26829,
  title = {{M3GYM: A Large-Scale Multimodal Multi-view Multi-person Pose Dataset for Fitness Activity Understanding in Real-world Settings}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32762},
}

@inproceedings{neurips2024_pedestrian_73678,
  title = {{Pedestrian-Centric 3D Pre-collision Pose and Shape Estimation from Dashcam Perspective}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93814},
}

@inproceedings{iclr2025_comotion_83563,
  title = {{CoMotion: Concurrent Multi-person 3D Motion}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/28254},
}

@inproceedings{cvpr2026_a_98824,
  title = {{A Cross-view Fusion Framework for Robust 6-DoF Grasp Pose Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Zhu_A_Cross-view_Fusion_Framework_for_Robust_6-DoF_Grasp_Pose_Estimation_CVPR_2026_paper.html},
}

@inproceedings{aaai2026_learning_100755,
  title = {{Learning Topology-Aware Dynamic Associations for Robust Multi-Person Pose Estimation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/42495},
}

@inproceedings{icml2026_interleaved_51975,
  title = {{Interleaved Selective State Space Models for Efficient WiFi-Based 3D Multi-Person Pose Estimation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=RbeAuiypKb},
}

@inproceedings{cvpr2026_gazeonce360_96611,
  title = {{GazeOnce360: Fisheye-Based 360deg Multi-Person Gaze Estimation with Global-Local Feature Fusion}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Cai_GazeOnce360_Fisheye-Based_360deg_Multi-Person_Gaze_Estimation_with_Global-Local_Feature_Fusion_CVPR_2026_paper.html},
}