% Key papers for Multimodal and open-vocabulary 3D detection (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2019_pointpillars_14653,
  title = {{PointPillars: Fast Encoders for Object Detection From Point Clouds}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{aaai2021_cia_226,
  title = {{CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/03555-cia-ssd-confident-iou-aware-single-stage-object-detector-from-point-cloud/},
}

@inproceedings{cvpr2021_offboard_17527,
  title = {{Offboard 3D Object Detection From Point Cloud Sequences}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2021_back_16631,
  title = {{Back-Tracing Representative Points for Voting-Based 3D Object Detection in Point Clouds}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2020_associate_15153,
  title = {{Associate-3Ddet: Perceptual-to-Conceptual Association for 3D Point Cloud Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2022_rbgnet_19655,
  title = {{RBGNet: Ray-Based Grouping for 3D Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2023_pointdistiller_21886,
  title = {{PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21908},
}

@inproceedings{cvpr2022_bridged_18393,
  title = {{Bridged Transformer for Vision and Point Cloud 3D Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2023_open_21781,
  title = {{Open-Vocabulary Point-Cloud Object Detection Without 3D Annotation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21495},
}

@inproceedings{neurips2024_voxel_73286,
  title = {{Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94155},
}

@inproceedings{cvpr2023_msf_21503,
  title = {{MSF: Motion-Guided Sequential Fusion for Efficient 3D Object Detection From Point Cloud Sequences}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/23069},
}

@inproceedings{neurips2023_echoes_67805,
  title = {{Echoes Beyond Points: Unleashing the Power of Raw Radar Data in Multi-modality Fusion}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/71953},
}

@inproceedings{neurips2025_spatiallm_79898,
  title = {{SpatialLM: Training Large Language Models for Structured Indoor Modeling}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=u1lNQH5upa},
}

@inproceedings{neurips2022_4d_65558,
  title = {{4D Unsupervised Object Discovery}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/55356},
}

@inproceedings{aaai2025_sslfusion_10637,
  title = {{SSLFusion: Scale and Space Aligned Latent Fusion Model for Multimodal 3D Object Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32278},
}

@inproceedings{aaai2023_context_3316,
  title = {{Context-Aware Transformer for 3D Point Cloud Automatic Annotation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25301},
}

@inproceedings{aaai2025_as_7988,
  title = {{AS-Det: Active Sampling for Adaptive 3D Object Detection in Point Clouds}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32281},
}

@inproceedings{iclr2024_lidar_33464,
  title = {{LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19611},
}

@inproceedings{neurips2024_imov3d_72145,
  title = {{ImOV3D: Learning Open Vocabulary Point Clouds 3D Object Detection from Only 2D Images}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95191},
}

@inproceedings{neurips2024_3det_73463,
  title = {{3DET-Mamba: Causal Sequence Modelling for End-to-End 3D Object Detection}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94006},
}

@inproceedings{aaai2025_msv_9877,
  title = {{MSV-PCT: Multi-Sparse-View Enhanced Transformer Framework for Salient Object Detection in Point Clouds}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32892},
}

@inproceedings{neurips2024_one_73830,
  title = {{One for All: Multi-Domain Joint Training for Point Cloud Based 3D Object Detection}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93677},
}

@inproceedings{neurips2025_point4bit_79763,
  title = {{Point4Bit: Post Training 4-bit Quantization for Point Cloud 3D Detection}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=sj5wiTCtu6},
}

@inproceedings{iclr2025_state_82266,
  title = {{State Space Model Meets Transformer: A New Paradigm for 3D Object Detection}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/29524},
}