% Key papers for Point cloud semantic segmentation (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2020_randla_16087,
  title = {{RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2018_large_13258,
  title = {{Large-Scale Point Cloud Semantic Segmentation With Superpoint Graphs}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Landrieu_Large-Scale_Point_Cloud_CVPR_2018_paper.html},
}

@inproceedings{cvpr2019_graph_14257,
  title = {{Graph Attention Convolution for Point Cloud Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2018_pointwise_13478,
  title = {{Pointwise Convolutional Neural Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Hua_Pointwise_Convolutional_Neural_CVPR_2018_paper.html},
}

@inproceedings{cvpr2018_sgpn_13551,
  title = {{SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_SGPN_Similarity_Group_CVPR_2018_paper.html},
}

@inproceedings{cvpr2020_pointgroup_16045,
  title = {{PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2019_gspn_14236,
  title = {{GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2021_scf_17791,
  title = {{SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2019_associatively_13861,
  title = {{Associatively Segmenting Instances and Semantics in Point Clouds}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2021_semantic_17872,
  title = {{Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{neurips2019_learning_58498,
  title = {{Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14544},
}

@inproceedings{cvpr2019_jsis3d_14344,
  title = {{JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds With Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2020_3d_15053,
  title = {{3D-MPA: Multi-Proposal Aggregation for 3D Semantic Instance Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2021_towards_18032,
  title = {{Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2022_contrastive_18520,
  title = {{Contrastive Boundary Learning for Point Cloud Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2019_point_14647,
  title = {{Point Cloud Oversegmentation With Graph-Structured Deep Metric Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2021_one_17538,
  title = {{One Thing One Click: A Self-Training Approach for Weakly Supervised 3D Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2020_multi_15917,
  title = {{Multi-Path Region Mining for Weakly Supervised 3D Semantic Segmentation on Point Clouds}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2024_oneformer3d_24361,
  title = {{OneFormer3D: One Transformer for Unified Point Cloud Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30040},
}

@inproceedings{aaai2020_jsnet_103887,
  title = {{JSNet: Joint Instance and Semantic Segmentation of 3D Point Clouds}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6994},
}

@inproceedings{cvpr2024_rethinking_24630,
  title = {{Rethinking Few-shot 3D Point Cloud Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30254},
}

@inproceedings{aaai2024_less_6517,
  title = {{Less Is More: Label Recommendation for Weakly Supervised Point Cloud Semantic Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28237},
}

@inproceedings{aaai2024_frozen_6066,
  title = {{Frozen CLIP Transformer Is an Efficient Point Cloud Encoder}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28013},
}

@inproceedings{aaai2025_point_10316,
  title = {{Point Cloud Semantic Segmentation with Sparse and Inhomogeneous Annotations}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32680},
}

@inproceedings{cvpr2024_spherical_24873,
  title = {{Spherical Mask: Coarse-to-Fine 3D Point Cloud Instance Segmentation with Spherical Representation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31260},
}

@inproceedings{cvpr2024_odin_24310,
  title = {{ODIN: A Single Model for 2D and 3D Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29842},
}

@inproceedings{aaai2025_taylor_10931,
  title = {{Taylor Series-Inspired Local Structure Fitting Network for Few-shot Point Cloud Semantic Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32810},
}

@inproceedings{cvpr2025_an_25476,
  title = {{An End-to-End Robust Point Cloud Semantic Segmentation Network with Single-Step Conditional Diffusion Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33519},
}

@inproceedings{cvpr2024_weakly_25272,
  title = {{Weakly Supervised Point Cloud Semantic Segmentation via Artificial Oracle}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30157},
}

@inproceedings{cvpr2024_freepoint_23510,
  title = {{FreePoint: Unsupervised Point Cloud Instance Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31666},
}

@inproceedings{cvpr2024_density_23147,
  title = {{Density-Guided Semi-Supervised 3D Semantic Segmentation with Dual-Space Hardness Sampling}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30355},
}

@inproceedings{cvpr2024_density_23148,
  title = {{Density-guided Translator Boosts Synthetic-to-Real Unsupervised Domain Adaptive Segmentation of 3D Point Clouds}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31169},
}

@inproceedings{cvpr2025_generalized_26406,
  title = {{Generalized Few-shot 3D Point Cloud Segmentation with Vision-Language Model}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33735},
}

@inproceedings{aaai2024_improved_6285,
  title = {{Improved MLP Point Cloud Processing with High-Dimensional Positional Encoding}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28625},
}

@inproceedings{cvpr2024_pdf_24398,
  title = {{PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31374},
}

@inproceedings{aaai2024_beyond_5290,
  title = {{Beyond the Label Itself: Latent Labels Enhance Semi-supervised Point Cloud Panoptic Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27887},
}

@inproceedings{aaai2024_multi_6700,
  title = {{Multi-Modality Affinity Inference for Weakly Supervised 3D Semantic Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28106},
}

@inproceedings{cvpr2025_logosp_26815,
  title = {{LogoSP: Local-global Grouping of Superpoints for Unsupervised Semantic Segmentation of 3D Point Clouds}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/35030},
}

@inproceedings{aaai2025_feast_9105,
  title = {{FEAST-Mamba: FEAture and SpaTial Aware Mamba Network with Bidirectional Orthogonal Fusion for Cross-Modal Point Cloud Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32489},
}