% Key papers for Pedestrian and crowd detection (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2018_cascaded_12897,
  title = {{Cascaded Pyramid Network for Multi-Person Pose Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Chen_Cascaded_Pyramid_Network_CVPR_2018_paper.html},
}

@inproceedings{cvpr2017_citypersons_12106,
  title = {{CityPersons: A Diverse Dataset for Pedestrian Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2016_traffic_11935,
  title = {{Traffic-Sign Detection and Classification in the Wild}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2017_joint_12365,
  title = {{Joint Detection and Identification Feature Learning for Person Search}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2017_towards_12702,
  title = {{Towards Accurate Multi-Person Pose Estimation in the Wild}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2017_person_12528,
  title = {{Person Re-Identification in the Wild}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2018_repulsion_13524,
  title = {{Repulsion Loss: Detecting Pedestrians in a Crowd}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Repulsion_Loss_Detecting_CVPR_2018_paper.html},
}

@inproceedings{cvpr2016_end_11528,
  title = {{End-To-End People Detection in Crowded Scenes}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2019_pyramidal_14683,
  title = {{Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2018_occluded_13437,
  title = {{Occluded Pedestrian Detection Through Guided Attention in CNNs}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Occluded_Pedestrian_Detection_CVPR_2018_paper.html},
}

@inproceedings{cvpr2019_adaptive_13825,
  title = {{Adaptive NMS: Refining Pedestrian Detection in a Crowd}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2017_what_12758,
  title = {{What Can Help Pedestrian Detection?}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2017_a_12004,
  title = {{A Deep Regression Architecture With Two-Stage Re-Initialization for High Performance Facial Landmark Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2019_point_14648,
  title = {{Point in, Box Out: Beyond Counting Persons in Crowds}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2019_density_14071,
  title = {{Density Map Regression Guided Detection Network for RGB-D Crowd Counting and Localization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2020_nms_15932,
  title = {{NMS by Representative Region: Towards Crowded Pedestrian Detection by Proposal Pairing}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{aaai2017_a_103929,
  title = {{A Multiview-Based Parameter Free Framework for Group Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11208},
}

@inproceedings{cvpr2019_query_14687,
  title = {{Query-Guided End-To-End Person Search}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2020_tcts_16317,
  title = {{TCTS: A Task-Consistent Two-Stage Framework for Person Search}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2021_anchor_16597,
  title = {{Anchor-Free Person Search}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{aaai2024_gigahumandet_6140,
  title = {{GigaHumanDet: Exploring Full-Body Detection on Gigapixel-Level Images}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28873},
}

@inproceedings{iclr2024_pbadet_35296,
  title = {{PBADet: A One-Stage Anchor-Free Approach for Part-Body Association}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17777},
}