% Key papers for Scene completion and instance segmentation (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2016_3d_11349,
  title = {{3D Semantic Parsing of Large-Scale Indoor Spaces}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2018_3d_12778,
  title = {{3D Semantic Segmentation With Submanifold Sparse Convolutional Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Graham_3D_Semantic_Segmentation_CVPR_2018_paper.html},
}

@inproceedings{cvpr2018_tangent_13633,
  title = {{Tangent Convolutions for Dense Prediction in 3D}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Tatarchenko_Tangent_Convolutions_for_CVPR_2018_paper.html},
}

@inproceedings{cvpr2022_softgroup_19900,
  title = {{SoftGroup for 3D Instance Segmentation on Point Clouds}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2021_exploring_16977,
  title = {{Exploring Data-Efficient 3D Scene Understanding With Contrastive Scene Contexts}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2022_fast_18834,
  title = {{Fast Point Transformer}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2016_semantic_11849,
  title = {{Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2023_clip2scene_20544,
  title = {{CLIP2Scene: Towards Label-Efficient 3D Scene Understanding by CLIP}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22719},
}

@inproceedings{aaai2021_text_1485,
  title = {{Text-Guided Graph Neural Networks for Referring 3D Instance Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/01610-text-guided-graph-neural-networks-for-referring-3d-instance-segmentation/},
}

@inproceedings{cvpr2024_oa_24306,
  title = {{OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29720},
}

@inproceedings{aaai2022_not_2477,
  title = {{Not All Voxels Are Equal: Semantic Scene Completion from the Point-Voxel Perspective}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/02352-not-all-voxels-are-equal-semantic-scene-completion-from-the-point-voxel-perspective/},
}

@inproceedings{cvpr2023_modality_21586,
  title = {{Modality-Agnostic Debiasing for Single Domain Generalization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21374},
}

@inproceedings{cvpr2024_groupcontrast_23648,
  title = {{GroupContrast: Semantic-aware Self-supervised Representation Learning for 3D Understanding}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31826},
}

@inproceedings{aaai2023_casfusionnet_3238,
  title = {{CasFusionNet: A Cascaded Network for Point Cloud Semantic Scene Completion by Dense Feature Fusion}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25405},
}

@inproceedings{aaai2023_cross_3365,
  title = {{Cross-Modal Contrastive Learning for Domain Adaptation in 3D Semantic Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25400},
}

@inproceedings{cvpr2023_fac_20956,
  title = {{FAC: 3D Representation Learning via Foreground Aware Feature Contrast}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/23126},
}

@inproceedings{cvpr2025_bfanet_25552,
  title = {{BFANet: Revisiting 3D Semantic Segmentation with Boundary Feature Analysis}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33325},
}

@inproceedings{cvpr2022_generating_18923,
  title = {{Generating 3D Bio-Printable Patches Using Wound Segmentation and Reconstruction To Treat Diabetic Foot Ulcers}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{aaai2017_unsupervised_103402,
  title = {{Unsupervised Feature Learning for 3D Scene Reconstruction with Occupancy Maps}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11039},
}

@inproceedings{aaai2023_geometry_3777,
  title = {{Geometry-Aware Network for Domain Adaptive Semantic Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26053},
}

@inproceedings{cvpr2024_learnable_23939,
  title = {{Learnable Earth Parser: Discovering 3D Prototypes in Aerial Scans}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31323},
}

@inproceedings{cvpr2025_relation3d_27425,
  title = {{Relation3D : Enhancing Relation Modeling for Point Cloud Instance Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33783},
}

@inproceedings{iclr2024_agile3d_33786,
  title = {{AGILE3D: Attention Guided Interactive Multi-object 3D Segmentation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19289},
}

@inproceedings{cvpr2025_masked_26929,
  title = {{Masked Point-Entity Contrast for Open-Vocabulary 3D Scene Understanding}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33693},
}

@inproceedings{aaai2026_point_100536,
  title = {{Point Cloud Semantic Scene Completion with Prototype-Guided Transformer}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37383},
}

@inproceedings{neurips2024_less_73385,
  title = {{LESS: Label-Efficient and Single-Stage Referring 3D Segmentation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94069},
}

@inproceedings{cvpr2025_insightful_26629,
  title = {{Insightful Instance Features for 3D Instance Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34074},
}

@inproceedings{neurips2024_voxel_70121,
  title = {{Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96957},
}

@inproceedings{cvpr2025_sasep_27502,
  title = {{SASep: Saliency-Aware Structured Separation of Geometry and Feature for Open Set Learning on Point Clouds}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33889},
}

@inproceedings{cvpr2026_rewis3d_96035,
  title = {{Rewis3d: Reconstruction Improves Weakly-Supervised Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Ernst_Rewis3d_Reconstruction_Improves_Weakly-Supervised_Semantic_Segmentation_CVPR_2026_paper.html},
}

@inproceedings{aaai2026_towards_100492,
  title = {{Towards Efficient and Effective Interactive 3D Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37339},
}

@inproceedings{aaai2026_point_100696,
  title = {{Point Cloud Segmentation of Integrated Circuits Package Substrates Surface Defects Using Causal Inference: Dataset Construction and Methodology}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/42436},
}

@inproceedings{icml2025_probabilistic_46203,
  title = {{Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46357},
}

@inproceedings{iclr2026_geopurify_88407,
  title = {{GeoPurify: A Data-Efficient Geometric Distillation Framework for Open-Vocabulary 3D Segmentation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=mN49LupE8l},
}

@inproceedings{cvpr2026_queryocc_95885,
  title = {{QueryOcc: Query-based Self-Supervision for 3D Semantic Occupancy}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Lilja_QueryOcc_Query-based_Self-Supervision_for_3D_Semantic_Occupancy_CVPR_2026_paper.html},
}

@inproceedings{cvpr2026_esam_98005,
  title = {{ESAM++: Efficient Online 3D Perception on the Edge}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Liu_ESAM_Efficient_Online_3D_Perception_on_the_Edge_CVPR_2026_paper.html},
}

@inproceedings{cvpr2026_towards_98431,
  title = {{Towards Foundation Models for 3D Scene Understanding: Instance-Aware Self-Supervised Learning for Point Clouds}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Yang_Towards_Foundation_Models_for_3D_Scene_Understanding_Instance-Aware_Self-Supervised_Learning_CVPR_2026_paper.html},
}