% Key papers for Globally optimal geometric optimization (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2018_ice_13197,
  title = {{ICE-BA: Incremental, Consistent and Efficient Bundle Adjustment for Visual-Inertial SLAM}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Liu_ICE-BA_Incremental_Consistent_CVPR_2018_paper.html},
}

@inproceedings{cvpr2017_an_12056,
  title = {{An Efficient Algebraic Solution to the Perspective-Three-Point Problem}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2016_gogma_11568,
  title = {{GOGMA: Globally-Optimal Gaussian Mixture Alignment}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2018_rotation_13546,
  title = {{Rotation Averaging and Strong Duality}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Eriksson_Rotation_Averaging_and_CVPR_2018_paper.html},
}

@inproceedings{cvpr2016_efficient_11514,
  title = {{Efficient Intersection of Three Quadrics and Applications in Computer Vision}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2018_a_12786,
  title = {{A Certifiably Globally Optimal Solution to the Non-Minimal Relative Pose Problem}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Briales_A_Certifiably_Globally_CVPR_2018_paper.html},
}

@inproceedings{cvpr2020_globally_15610,
  title = {{Globally Optimal Contrast Maximisation for Event-Based Motion Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2016_pairwise_11755,
  title = {{Pairwise Matching Through Max-Weight Bipartite Belief Propagation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2016_solving_11875,
  title = {{Solving Small-Piece Jigsaw Puzzles by Growing Consensus}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2017_a_12017,
  title = {{A Minimal Solution for Two-View Focal-Length Estimation Using Two Affine Correspondences}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2017_an_12059,
  title = {{An Exact Penalty Method for Locally Convergent Maximum Consensus}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2018_geometric_13155,
  title = {{Geometric Multi-Model Fitting With a Convex Relaxation Algorithm}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Amayo_Geometric_Multi-Model_Fitting_CVPR_2018_paper.html},
}

@inproceedings{cvpr2020_a_15061,
  title = {{A Certifiably Globally Optimal Solution to Generalized Essential Matrix Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2021_quantum_17684,
  title = {{Quantum Permutation Synchronization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2021_automatic_16622,
  title = {{Automatic Vertebra Localization and Identification in CT by Spine Rectification and Anatomically-Constrained Optimization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2016_globally_11573,
  title = {{Globally Optimal Manhattan Frame Estimation in Real-Time}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2022_a_18202,
  title = {{A Hybrid Quantum-Classical Algorithm for Robust Fitting}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2016_joint_11627,
  title = {{Joint Probabilistic Matching Using m-Best Solutions}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{icml2017_re_36357,
  title = {{Re-revisiting Learning on Hypergraphs: Confidence Interval and Subgradient Method}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/517},
}

@inproceedings{cvpr2018_exploiting_13086,
  title = {{Exploiting Transitivity for Learning Person Re-Identification Models on a Budget}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Roy_Exploiting_Transitivity_for_CVPR_2018_paper.html},
}

@inproceedings{aaai2024_locally_6542,
  title = {{Locally Rainbow Paths}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28639},
}

@inproceedings{neurips2024_mg_70514,
  title = {{MG-Net: Learn to Customize QAOA with Circuit Depth Awareness}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96594},
}

@inproceedings{aaai2025_densest_8693,
  title = {{Densest k-Subgraph Mining via a Provably Tight Relaxation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33339},
}

@inproceedings{neurips2024_rethinking_72833,
  title = {{Rethinking Parity Check Enhanced Symmetry-Preserving Ansatz}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94566},
}

@inproceedings{icml2026_local_50620,
  title = {{Local-Minima-Preserving Polynomial Relaxation of Ising Problems}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=EBTMJ3MXt0},
}

@inproceedings{neurips2024_functionally_71985,
  title = {{Functionally Constrained Algorithm Solves Convex Simple Bilevel Problem}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95326},
}

@inproceedings{cvpr2026_revisiting_97369,
  title = {{Revisiting Optimal Coding for I-ToF under Practical Sensor Constraints}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Luo_Revisiting_Optimal_Coding_for_I-ToF_under_Practical_Sensor_Constraints_CVPR_2026_paper.html},
}

@inproceedings{cvpr2026_linear_97649,
  title = {{Linear Fundamental Matrix Estimation from 7 or 5 Points}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Kucukpinar_Linear_Fundamental_Matrix_Estimation_from_7_or_5_Points_CVPR_2026_paper.html},
}