% Key papers for Single-stage point-voxel detection (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2018_voxelnet_13715,
  title = {{VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Zhou_VoxelNet_End-to-End_Learning_CVPR_2018_paper.html},
}

@inproceedings{cvpr2019_pointrcnn_14654,
  title = {{PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2018_frustum_13133,
  title = {{Frustum PointNets for 3D Object Detection From RGB-D Data}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Qi_Frustum_PointNets_for_CVPR_2018_paper.html},
}

@inproceedings{cvpr2020_pv_16016,
  title = {{PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2018_pixor_13451,
  title = {{PIXOR: Real-Time 3D Object Detection From Point Clouds}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Yang_PIXOR_Real-Time_3D_CVPR_2018_paper.html},
}

@inproceedings{cvpr2020_3dssd_15056,
  title = {{3DSSD: Point-Based 3D Single Stage Object Detector}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2020_point_16041,
  title = {{Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2018_pointfusion_13475,
  title = {{PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Xu_PointFusion_Deep_Sensor_CVPR_2018_paper.html},
}

@inproceedings{cvpr2020_structure_16291,
  title = {{Structure Aware Single-Stage 3D Object Detection From Point Cloud}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2021_3d_16518,
  title = {{3D Object Detection With Pointformer}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2021_se_17793,
  title = {{SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{aaai2020_tanet_103730,
  title = {{TANet: Robust 3D Object Detection from Point Clouds with Triple Attention}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6837},
}

@inproceedings{neurips2019_point_58804,
  title = {{Point-Voxel CNN for Efficient 3D Deep Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14488},
}

@inproceedings{cvpr2020_imvotenet_15669,
  title = {{ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{aaai2020_pi_103826,
  title = {{PI-RCNN: An Efficient Multi-Sensor 3D Object Detector with Point-Based Attentive Cont-Conv Fusion Module}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6933},
}

@inproceedings{cvpr2022_voxel_20195,
  title = {{Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection From Point Clouds}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2020_a_15066,
  title = {{A Hierarchical Graph Network for 3D Object Detection on Point Clouds}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2021_hvpr_17106,
  title = {{HVPR: Hybrid Voxel-Point Representation for Single-Stage 3D Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{aaai2022_sasa_2666,
  title = {{SASA: Semantics-Augmented Set Abstraction for Point-Based 3D Object Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/00221-sasa-semantics-augmented-set-abstraction-for-point-based-3d-object-detection/},
}

@inproceedings{cvpr2016_three_11929,
  title = {{Three-Dimensional Object Detection and Layout Prediction Using Clouds of Oriented Gradients}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{neurips2024_lion_70552,
  title = {{LION: Linear Group RNN for 3D Object Detection in Point Clouds}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96562},
}

@inproceedings{aaai2025_geometry_9340,
  title = {{Geometry-Aware 3D Salient Object Detection Network}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32813},
}

@inproceedings{aaai2026_real_105554,
  title = {{Real-time 3D Object Detection with Inference-Aligned Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38310},
}

@inproceedings{cvpr2026_ccf_96379,
  title = {{CCF: Complementary Collaborative Fusion for Domain Generalized Multi-Modal 3D Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Wu_CCF_Complementary_Collaborative_Fusion_for_Domain_Generalized_Multi-Modal_3D_Object_CVPR_2026_paper.html},
}

@inproceedings{iclr2026_ptnet_87235,
  title = {{PTNET: A PROPOSAL-CENTRIC TRANSFORMER NET- WORK FOR 3D OBJECT DETECTION}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=ZOREAbteO5},
}