% Key papers for Self-supervised point cloud pretraining (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2022_crosspoint_18558,
  title = {{CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2023_self_22152,
  title = {{Self-Positioning Point-Based Transformer for Point Cloud Understanding}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21935},
}

@inproceedings{aaai2025_point_10315,
  title = {{Point Cloud Mamba: Point Cloud Learning via State Space Model}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33098},
}

@inproceedings{neurips2024_pointmamba_71620,
  title = {{PointMamba: A Simple State Space Model for Point Cloud Analysis}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95654},
}

@inproceedings{neurips2019_pointdan_58805,
  title = {{PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13811},
}

@inproceedings{cvpr2022_domain_18692,
  title = {{Domain Adaptation on Point Clouds via Geometry-Aware Implicits}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2022_self_19822,
  title = {{Self-Supervised Global-Local Structure Modeling for Point Cloud Domain Adaptation With Reliable Voted Pseudo Labels}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2021_self_17853,
  title = {{Self-Supervised Learning on 3D Point Clouds by Learning Discrete Generative Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2022_a_18222,
  title = {{A Unified Query-Based Paradigm for Point Cloud Understanding}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{neurips2020_self_60799,
  title = {{Self-Supervised Few-Shot Learning on Point Clouds}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17875},
}

@inproceedings{cvpr2024_text2loc_24997,
  title = {{Text2Loc: 3D Point Cloud Localization from Natural Language}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29628},
}

@inproceedings{cvpr2024_point_24478,
  title = {{Point Cloud Pre-training with Diffusion Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31179},
}

@inproceedings{neurips2022_p2p_64298,
  title = {{P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/55136},
}

@inproceedings{cvpr2024_dynamic_23290,
  title = {{Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30826},
}

@inproceedings{cvpr2022_point_19589,
  title = {{Point Cloud Pre-Training With Natural 3D Structures}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{neurips2019_self_58966,
  title = {{Self-Supervised Deep Learning on Point Clouds by Reconstructing Space}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14242},
}

@inproceedings{neurips2023_pointgpt_69641,
  title = {{PointGPT: Auto-regressively Generative Pre-training from Point Clouds}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/70295},
}

@inproceedings{neurips2023_segment_69130,
  title = {{Segment Any Point Cloud Sequences by Distilling Vision Foundation Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/70753},
}

@inproceedings{cvpr2024_contrastive_23041,
  title = {{Contrastive Pre-Training with Multi-View Fusion for No-Reference Point Cloud Quality Assessment}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31890},
}

@inproceedings{aaai2025_pointrwkv_10319,
  title = {{PointRWKV: Efficient RWKV-Like Model for Hierarchical Point Cloud Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32353},
}

@inproceedings{cvpr2025_sonata_27706,
  title = {{Sonata: Self-Supervised Learning of Reliable Point Representations}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32912},
}

@inproceedings{aaai2025_clip_8349,
  title = {{CLIP-PCQA: Exploring Subjective-Aligned Vision-Language Modeling for Point Cloud Quality Assessment}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32607},
}

@inproceedings{aaai2024_pointpatchmix_6966,
  title = {{PointPatchMix: Point Cloud Mixing with Patch Scoring}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28380},
}

@inproceedings{aaai2025_pamba_10259,
  title = {{Pamba: Enhancing Global Interaction in Point Clouds via State Space Model}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32540},
}

@inproceedings{cvpr2025_point_27267,
  title = {{Point Clouds Meets Physics: Dynamic Acoustic Field Fitting Network for Point Cloud Understanding}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32900},
}

@inproceedings{cvpr2025_pma_27192,
  title = {{PMA: Towards Parameter-Efficient Point Cloud Understanding via Point Mamba Adapter}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33361},
}

@inproceedings{aaai2025_text_10955,
  title = {{Text to Point Cloud Localization with Multi-Level Negative Contrastive Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32574},
}

@inproceedings{cvpr2025_adapting_25436,
  title = {{Adapting Pre-trained 3D Models for Point Cloud Video Understanding via Cross-frame Spatio-temporal Perception}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/35029},
}

@inproceedings{cvpr2024_mitigating_24156,
  title = {{Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29926},
}

@inproceedings{aaai2026_radarllm_101199,
  title = {{RadarLLM: Empowering Large Language Models to Understand Human Motion from Millimeter-wave Point Cloud Sequence}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37500},
}

@inproceedings{aaai2025_pointdgmamba_10318,
  title = {{PointDGMamba: Domain Generalization of Point Cloud Classification via Generalized State Space Model}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32995},
}

@inproceedings{cvpr2025_dv_25846,
  title = {{DV-Matcher: Deformation-based Non-rigid Point Cloud Matching Guided by Pre-trained Visual Features}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32777},
}

@inproceedings{cvpr2025_pointlora_27271,
  title = {{PointLoRA: Low-Rank Adaptation with Token Selection for Point Cloud Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34622},
}