% Key papers for Heatmap and coordinate pose encoding (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{cvpr2019_deep_14025, title = {{Deep High-Resolution Representation Learning for Human Pose Estimation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2019}, } @inproceedings{cvpr2016_convolutional_11451, title = {{Convolutional Pose Machines}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2016}, } @inproceedings{cvpr2018_densepose_13003, title = {{DensePose: Dense Human Pose Estimation in the Wild}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2018}, url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Guler_DensePose_Dense_Human_CVPR_2018_paper.html}, } @inproceedings{cvpr2020_higherhrnet_15654, title = {{HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020}, } @inproceedings{cvpr2016_human_11597, title = {{Human Pose Estimation With Iterative Error Feedback}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2016}, } @inproceedings{cvpr2020_distribution_15426, title = {{Distribution-Aware Coordinate Representation for Human Pose Estimation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020}, } @inproceedings{cvpr2021_bottom_16665, title = {{Bottom-Up Human Pose Estimation via Disentangled Keypoint Regression}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2021}, } @inproceedings{cvpr2018_recognizing_13507, title = {{Recognizing Human Actions as the Evolution of Pose Estimation Maps}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2018}, url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Liu_Recognizing_Human_Actions_CVPR_2018_paper.html}, } @inproceedings{cvpr2019_fast_14189, title = {{Fast Human Pose Estimation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2019}, } @inproceedings{cvpr2016_end_11527, title = {{End-To-End Learning of Deformable Mixture of Parts and Deep Convolutional Neural Networks for Human Pose Estimation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2016}, } @inproceedings{cvpr2020_the_16335, title = {{The Devil Is in the Details: Delving Into Unbiased Data Processing for Human Pose Estimation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020}, } @inproceedings{cvpr2018_jointly_13245, title = {{Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2018}, url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Peng_Jointly_Optimize_Data_CVPR_2018_paper.html}, } @inproceedings{cvpr2021_rethinking_17756, title = {{Rethinking the Heatmap Regression for Bottom-Up Human Pose Estimation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2021}, } @inproceedings{cvpr2018_human_13191, title = {{Human Pose Estimation With Parsing Induced Learner}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2018}, url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Nie_Human_Pose_Estimation_CVPR_2018_paper.html}, } @inproceedings{cvpr2023_human_21183, title = {{Human Pose As Compositional Tokens}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2023}, url = {https://cvpr.thecvf.com/virtual/2023/poster/22353}, } @inproceedings{cvpr2019_does_14105, title = {{Does Learning Specific Features for Related Parts Help Human Pose Estimation?}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2019}, } @inproceedings{cvpr2023_tokenhpe_22354, title = {{TokenHPE: Learning Orientation Tokens for Efficient Head Pose Estimation via Transformers}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2023}, url = {https://cvpr.thecvf.com/virtual/2023/poster/21824}, } @inproceedings{aaai2016_pose_105407, title = {{Pose-Guided Human Parsing by an AND/OR Graph Using Pose-Context Features}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2016}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/10460}, } @inproceedings{aaai2018_a_104075, title = {{A Cascaded Inception of Inception Network With Attention Modulated Feature Fusion for Human Pose Estimation}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2018}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/12334}, } @inproceedings{cvpr2023_human_21185, title = {{Human-Art: A Versatile Human-Centric Dataset Bridging Natural and Artificial Scenes}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2023}, url = {https://cvpr.thecvf.com/virtual/2023/poster/22495}, } @inproceedings{aaai2024_sharpose_7226, title = {{SHaRPose: Sparse High-Resolution Representation for Human Pose Estimation}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/27826}, } @inproceedings{cvpr2024_dynamic_23293, title = {{Dynamic Inertial Poser (DynaIP): Part-Based Motion Dynamics Learning for Enhanced Human Pose Estimation with Sparse Inertial Sensors}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/31227}, } @inproceedings{cvpr2025_probpose_27303, title = {{ProbPose: A Probabilistic Approach to 2D Human Pose Estimation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/34624}, } @inproceedings{cvpr2024_synsp_24925, title = {{SynSP: Synergy of Smoothness and Precision in Pose Sequences Refinement}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/30392}, } @inproceedings{cvpr2024_lpsnet_23903, title = {{LPSNet: End-to-End Human Pose and Shape Estimation with Lensless Imaging}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/31096}, } @inproceedings{neurips2024_continuous_71360, title = {{Continuous Heatmap Regression for Pose Estimation via Implicit Neural Representation}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/95889}, } @inproceedings{neurips2024_referring_73237, title = {{Referring Human Pose and Mask Estimation In the Wild}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/94200}, } @inproceedings{cvpr2025_motionmap_27005, title = {{MotionMap: Representing Multimodality in Human Pose Forecasting}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/34153}, } @inproceedings{icml2024_on_43253, title = {{On the Calibration of Human Pose Estimation}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2024}, url = {https://icml.cc/virtual/2024/poster/35199}, } @inproceedings{cvpr2026_udapose_97303, title = {{UDAPose: Unsupervised Domain Adaptation for Low-Light Human Pose Estimation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2026}, url = {https://openaccess.thecvf.com/content/CVPR2026/html/Chen_UDAPose_Unsupervised_Domain_Adaptation_for_Low-Light_Human_Pose_Estimation_CVPR_2026_paper.html}, } @inproceedings{iclr2026_zero_85224, title = {{Zero-shot Human Pose Estimation using Diffusion-based Inverse solvers}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2026}, url = {https://openreview.net/forum?id=Bs4FbnrE82}, } @inproceedings{iclr2026_pose_87946, title = {{Pose Prior Learner: Unsupervised Categorical Prior Learning for Pose Estimation}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2026}, url = {https://openreview.net/forum?id=hPY2jwJzZ4}, } @inproceedings{cvpr2026_gaze_97504, title = {{Gaze Target Estimation Anywhere with Concepts}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2026}, url = {https://openaccess.thecvf.com/content/CVPR2026/html/Cao_Gaze_Target_Estimation_Anywhere_with_Concepts_CVPR_2026_paper.html}, } @inproceedings{cvpr2026_cigpose_98657, title = {{CIGPose: Causal Intervention Graph Neural Network for Whole-Body Pose Estimation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2026}, url = {https://openaccess.thecvf.com/content/CVPR2026/html/Li_CIGPose_Causal_Intervention_Graph_Neural_Network_for_Whole-Body_Pose_Estimation_CVPR_2026_paper.html}, } @inproceedings{aaai2026_diffusionpose_104708, title = {{DiffusionPose: Markov-Optimized Diffusion Model for Human Pose Estimation}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2026}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/38012}, }