% Key papers for Robust inlier selection for registration (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2022_geometric_18935,
  title = {{Geometric Transformer for Fast and Robust Point Cloud Registration}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2021_pointdsc_17619,
  title = {{PointDSC: Robust Point Cloud Registration Using Deep Spatial Consistency}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2020_feature_15539,
  title = {{Feature-Metric Registration: A Fast Semi-Supervised Approach for Robust Point Cloud Registration Without Correspondences}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2021_robust_17772,
  title = {{Robust Point Cloud Registration Framework Based on Deep Graph Matching}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2022_sc2_19766,
  title = {{SC2-PCR: A Second Order Spatial Compatibility for Efficient and Robust Point Cloud Registration}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2019_sdrsac_14757,
  title = {{SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration Without Correspondences}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2023_buffer_20439,
  title = {{BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud Registration}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/23026},
}

@inproceedings{aaai2022_reliable_2634,
  title = {{Reliable Inlier Evaluation for Unsupervised Point Cloud Registration}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/02198-reliable-inlier-evaluation-for-unsupervised-point-cloud-registration/},
}

@inproceedings{cvpr2023_robust_22075,
  title = {{Robust Multiview Point Cloud Registration With Reliable Pose Graph Initialization and History Reweighting}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21879},
}

@inproceedings{aaai2022_end_2033,
  title = {{End-to-End Learning the Partial Permutation Matrix for Robust 3D Point Cloud Registration}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/03399-end-to-end-learning-the-partial-permutation-matrix-for-robust-3d-point-cloud-registration/},
}

@inproceedings{cvpr2024_dynamic_23291,
  title = {{Dynamic Cues-Assisted Transformer for Robust Point Cloud Registration}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30945},
}

@inproceedings{neurips2021_accurate_62311,
  title = {{Accurate Point Cloud Registration with Robust Optimal Transport}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/26958},
}

@inproceedings{cvpr2024_inlier_23805,
  title = {{Inlier Confidence Calibration for Point Cloud Registration}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31855},
}

@inproceedings{cvpr2019_robust_14746,
  title = {{Robust Point Cloud Based Reconstruction of Large-Scale Outdoor Scenes}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2022_multi_19379,
  title = {{Multi-Instance Point Cloud Registration by Efficient Correspondence Clustering}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2025_hemora_26497,
  title = {{HeMoRa: Unsupervised Heuristic Consensus Sampling for Robust Point Cloud Registration}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33591},
}

@inproceedings{neurips2024_a_72955,
  title = {{A Consistency-Aware Spot-Guided Transformer for Versatile and Hierarchical Point Cloud Registration}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94458},
}

@inproceedings{aaai2025_cross_8564,
  title = {{Cross-PCR: A Robust Cross-Source Point Cloud Registration Framework}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33129},
}

@inproceedings{cvpr2025_progressive_27310,
  title = {{Progressive Correspondence Regenerator for Robust 3D Registration}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33666},
}

@inproceedings{neurips2022_one_63736,
  title = {{One-Inlier is First: Towards Efficient Position Encoding for Point Cloud Registration}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/55075},
}

@inproceedings{neurips2024_multi_74161,
  title = {{Multi-scale Consistency for Robust 3D Registration via Hierarchical Sinkhorn Tree}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93381},
}

@inproceedings{cvpr2026_rethinking_98641,
  title = {{Rethinking 2D-3D Registration: A Novel Network for High-Value Zone Selection and Representation Consistency Alignment}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Cheng_Rethinking_2D-3D_Registration_A_Novel_Network_for_High-Value_Zone_Selection_CVPR_2026_paper.html},
}

@inproceedings{icml2026_scalable_51906,
  title = {{Scalable and Differentiable Point-Cloud Registration Using Maximum Mean Discrepancy}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=Qx8NriaMit},
}

@inproceedings{neurips2024_a_71007,
  title = {{A robust inlier identification algorithm for point cloud registration via \$mathbfell\_0\$-minimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96199},
}

@inproceedings{neurips2025_registration_77149,
  title = {{Registration is a Powerful Rotation-Invariance Learner for 3D Anomaly Detection}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=QynKUq9X3L},
}

@inproceedings{neurips2026_certifiably_94445,
  title = {{Certifiably Optimal Robust Angular Synchronization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/153331},
}

@inproceedings{cvpr2026_mhopreg_95894,
  title = {{MHopReg: Efficient Hierarchical Multi-Hop Graph Search for Point Cloud Registration}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Wu_MHopReg_Efficient_Hierarchical_Multi-Hop_Graph_Search_for_Point_Cloud_Registration_CVPR_2026_paper.html},
}

@inproceedings{cvpr2026_dualreg_98079,
  title = {{DualReg: Dual-Space Filtering and Reinforcement for Rigid Registration}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Li_DualReg_Dual-Space_Filtering_and_Reinforcement_for_Rigid_Registration_CVPR_2026_paper.html},
}