% Key papers for Margin-based face recognition losses (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2019_arcface_13855,
  title = {{ArcFace: Additive Angular Margin Loss for Deep Face Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2017_sphereface_12659,
  title = {{SphereFace: Deep Hypersphere Embedding for Face Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2018_cosface_12929,
  title = {{CosFace: Large Margin Cosine Loss for Deep Face Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_CosFace_Large_Margin_CVPR_2018_paper.html},
}

@inproceedings{cvpr2016_deepfashion_11483,
  title = {{DeepFashion: Powering Robust Clothes Recognition and Retrieval With Rich Annotations}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2020_circle_15250,
  title = {{Circle Loss: A Unified Perspective of Pair Similarity Optimization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2016_compact_11435,
  title = {{Compact Bilinear Pooling}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2022_revisiting_19741,
  title = {{Revisiting Skeleton-Based Action Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2016_ordinal_11749,
  title = {{Ordinal Regression With Multiple Output CNN for Age Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{aaai2019_gaitset_103425,
  title = {{GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4821},
}

@inproceedings{cvpr2020_curricularface_15316,
  title = {{CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2019_feature_14206,
  title = {{Feature Transfer Learning for Face Recognition With Under-Represented Data}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2017_quality_12558,
  title = {{Quality Aware Network for Set to Set Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2018_thoracic_13649,
  title = {{Thoracic Disease Identification and Localization With Limited Supervision}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Li_Thoracic_Disease_Identification_CVPR_2018_paper.html},
}

@inproceedings{cvpr2021_frequency_17039,
  title = {{Frequency-Aware Discriminative Feature Learning Supervised by Single-Center Loss for Face Forgery Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2018_towards_13662,
  title = {{Towards Pose Invariant Face Recognition 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/Zhao_Towards_Pose_Invariant_CVPR_2018_paper.html},
}

@inproceedings{cvpr2019_adacos_13820,
  title = {{AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2016_studying_11900,
  title = {{Studying Very Low Resolution Recognition Using Deep Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2018_ring_13537,
  title = {{Ring Loss: Convex Feature Normalization for Face Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Zheng_Ring_Loss_Convex_CVPR_2018_paper.html},
}

@inproceedings{aaai2020_mis_103799,
  title = {{Mis-Classified Vector Guided Softmax Loss for Face Recognition}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6906},
}

@inproceedings{aaai2020_a_103600,
  title = {{A Coarse-to-Fine Adaptive Network for Appearance-Based Gaze Estimation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6636},
}

@inproceedings{aaai2024_distribution_5722,
  title = {{Distribution Matching for Multi-Task Learning of Classification Tasks: A Large-Scale Study on Faces \& Beyond}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28061},
}

@inproceedings{aaai2024_qagait_7031,
  title = {{QAGait: Revisit Gait Recognition from a Quality Perspective}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28391},
}

@inproceedings{cvpr2024_keypoint_23866,
  title = {{KeyPoint Relative Position Encoding for Face Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29351},
}

@inproceedings{aaai2024_cross_5525,
  title = {{Cross-Covariate Gait Recognition: A Benchmark}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28621},
}

@inproceedings{aaai2024_selective_7285,
  title = {{Selective and Orthogonal Feature Activation for Pedestrian Attribute Recognition}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28419},
}

@inproceedings{aaai2025_generalizable_9314,
  title = {{Generalizable Sensor-Based Activity Recognition via Categorical Concept Invariant Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32077},
}

@inproceedings{neurips2024_topofr_71611,
  title = {{TopoFR: A Closer Look at Topology Alignment on Face Recognition}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95660},
}

@inproceedings{cvpr2024_learning_23958,
  title = {{Learning Group Activity Features Through Person Attribute Prediction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29214},
}

@inproceedings{icml2024_masked_45604,
  title = {{Masked Face Recognition with Generative-to-Discriminative Representations}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32848},
}

@inproceedings{aaai2024_facecoresetnet_5944,
  title = {{FaceCoresetNet: Differentiable Coresets for Face Set Recognition}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28276},
}

@inproceedings{aaai2025_waveloss_11271,
  title = {{WaveLoss: An Adaptive Dynamic Loss for Deep Gait Recognition}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32891},
}

@inproceedings{aaai2025_ra_10429,
  title = {{RA-GAR: A Richly Annotated Benchmark for Gait Attribute Recognition}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32817},
}

@inproceedings{aaai2025_weapon_11279,
  title = {{Weapon Activity Recognition}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35330},
}

@inproceedings{cvpr2025_gif_26359,
  title = {{GIF: Generative Inspiration for Face Recognition at Scale}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34863},
}

@inproceedings{icml2025_attributes_47532,
  title = {{Attributes Shape the Embedding Space of Face Recognition Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45064},
}

@inproceedings{cvpr2026_barbiegait_97852,
  title = {{BarbieGait: An Identity-Consistent Synthetic Human Dataset with Versatile Cloth-Changing for Gait Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Cai_BarbieGait_An_Identity-Consistent_Synthetic_Human_Dataset_with_Versatile_Cloth-Changing_for_CVPR_2026_paper.html},
}

@inproceedings{aaai2026_walking_104174,
  title = {{Walking Further: Semantic-Aware Multimodal Gait Recognition Under Long-Range Conditions}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37703},
}

@inproceedings{iclr2024_enhanced_35489,
  title = {{Enhanced Face Recognition using Intra-class Incoherence Constraint}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17584},
}

@inproceedings{neurips2026_representation_95025,
  title = {{Representation Rigidity in Face Embeddings: Orthogonal Identifiability and Backfill-Free Compatibility}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/151431},
}