% Key papers for Fair and quality-aware face recognition (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2016_the_11921,
  title = {{The MegaFace Benchmark: 1 Million Faces for Recognition at Scale}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2018_learning_13272,
  title = {{Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Liu_Learning_Deep_Models_CVPR_2018_paper.html},
}

@inproceedings{cvpr2021_magface_17384,
  title = {{MagFace: A Universal Representation for Face Recognition and Quality Assessment}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2022_adaface_18256,
  title = {{AdaFace: Quality Adaptive Margin for Face Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2017_detecting_12205,
  title = {{Detecting Masked Faces in the Wild With LLE-CNNs}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2016_self_11844,
  title = {{Self-Adaptive Matrix Completion for Heart Rate Estimation From Face Videos Under Realistic Conditions}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2020_data_15338,
  title = {{Data Uncertainty Learning in Face Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2021_webface260m_18148,
  title = {{WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2019_face_14184,
  title = {{Face Anti-Spoofing: Model Matters, so Does Data}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2020_ser_16159,
  title = {{SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2020_background_15184,
  title = {{Background Matting: The World Is Your Green Screen}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{aaai2022_dual_2001,
  title = {{Dual Contrastive Learning for General Face Forgery Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/02316-dual-contrastive-learning-for-general-face-forgery-detection/},
}

@inproceedings{cvpr2016_recurrent_11805,
  title = {{Recurrent Face Aging}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2017_level_12429,
  title = {{Level Playing Field for Million Scale Face Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2019_adaptiveface_13829,
  title = {{AdaptiveFace: Adaptive Margin and Sampling for Face Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2018_exploring_13087,
  title = {{Exploring Disentangled Feature Representation Beyond Face Identification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Liu_Exploring_Disentangled_Feature_CVPR_2018_paper.html},
}

@inproceedings{cvpr2023_implicit_21220,
  title = {{Implicit Identity Driven Deepfake Face Swapping Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22273},
}

@inproceedings{cvpr2022_patchnet_19565,
  title = {{PatchNet: A Simple Face Anti-Spoofing Framework via Fine-Grained Patch Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{aaai2022_exploiting_2066,
  title = {{Exploiting Fine-Grained Face Forgery Clues via Progressive Enhancement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/00735-exploiting-fine-grained-face-forgery-clues-via-progressive-enhancement-learning/},
}

@inproceedings{aaai2017_attributes_103950,
  title = {{Attributes for Improved Attributes: A Multi-Task Network Utilizing Implicit and Explicit Relationships for Facial Attribute Classification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11229},
}

@inproceedings{cvpr2024_one_24355,
  title = {{One-Class Face Anti-spoofing via Spoof Cue Map-Guided Feature Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31758},
}

@inproceedings{aaai2025_mixture_9968,
  title = {{Mixture-of-Attack-Experts with Class Regularization for Unified Physical-Digital Face Attack Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32218},
}

@inproceedings{aaai2025_medical_9931,
  title = {{Medical Manifestation-Aware De-Identification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34835},
}

@inproceedings{cvpr2025_sapiensid_27569,
  title = {{SapiensID: Foundation for Human Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33743},
}

@inproceedings{cvpr2025_t_27795,
  title = {{T-FAKE: Synthesizing Thermal Images for Facial Landmarking}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33161},
}

@inproceedings{aaai2025_aquaface_7984,
  title = {{AQUAFace: Age-Invariant Quality Adaptive Face Recognition for Unconstrained Selfie vs ID Verification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32165},
}

@inproceedings{neurips2024_proxyfusion_71259,
  title = {{ProxyFusion: Face Feature Aggregation Through Sparse Experts}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95985},
}

@inproceedings{icml2026_efficient_50676,
  title = {{Efficient, Validation-Free Intrinsic Quality Estimation for Large-Scale Face Recognition Datasets}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=EmMmxTMiGJ},
}

@inproceedings{neurips2025_fracface_76449,
  title = {{FracFace: Breaking The Visual Clues—Fractal-Based Privacy-Preserving Face Recognition}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=JSSvYZKvL8},
}

@inproceedings{neurips2025_low_79185,
  title = {{Low-Rank Head Avatar Personalization with Registers}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=mhARf5VzCn},
}

@inproceedings{cvpr2026_from_97047,
  title = {{From Measurement to Mitigation: Quantifying and Reducing Identity Leakage in Image Representation Encoders with Linear Subspace Removal}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/George_From_Measurement_to_Mitigation_Quantifying_and_Reducing_Identity_Leakage_in_CVPR_2026_paper.html},
}

@inproceedings{aaai2026_fair_101114,
  title = {{Fair Facial Attribute Recognition via Group-Decoupled Vision Transformer with Mask-Guided Correlation Suppression}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37415},
}

@inproceedings{aaai2026_ahan_104231,
  title = {{AHAN: Asymmetric Hierarchical Attention Network for Identical Twin Face Verification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37760},
}

@inproceedings{cvpr2026_immeriris_98393,
  title = {{ImmerIris: A Large-Scale Dataset and Benchmark for Off-Axis and Unconstrained Iris Recognition in Immersive Applications}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Mi_ImmerIris_A_Large-Scale_Dataset_and_Benchmark_for_Off-Axis_and_Unconstrained_CVPR_2026_paper.html},
}