% Key papers for 3D objectness and scene segmentation (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2019_partnet_14627,
  title = {{PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2017_sgm_12596,
  title = {{SGM-Nets: Semi-Global Matching With Neural Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2017_joint_12373,
  title = {{Joint Sequence Learning and Cross-Modality Convolution for 3D Biomedical Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2021_vip_18105,
  title = {{VIP-DeepLab: Learning Visual Perception With Depth-Aware Video Panoptic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2023_largekernel3d_21325,
  title = {{LargeKernel3D: Scaling Up Kernels in 3D Sparse CNNs}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22447},
}

@inproceedings{aaai2023_superpoint_4751,
  title = {{Superpoint Transformer for 3D Scene Instance Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25335},
}

@inproceedings{cvpr2023_habitat_21126,
  title = {{Habitat-Matterport 3D Semantics Dataset}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22424},
}

@inproceedings{cvpr2020_learning_15811,
  title = {{Learning to Evaluate Perception Models Using Planner-Centric Metrics}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2020_revealnet_16126,
  title = {{RevealNet: Seeing Behind Objects in RGB-D Scans}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2022_boxer_18388,
  title = {{BoxeR: Box-Attention for 2D and 3D Transformers}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2022_darch_18568,
  title = {{DArch: Dental Arch Prior-Assisted 3D Tooth Instance Segmentation With Weak Annotations}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2016_a_11357,
  title = {{A Continuous Occlusion Model for Road Scene Understanding}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2021_depth_16856,
  title = {{Depth From Camera Motion and Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{aaai2018_perceiving_100364,
  title = {{Perceiving, Learning, and Recognizing 3D Objects: An Approach to Cognitive Service Robots}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11319},
}

@inproceedings{cvpr2024_unscene3d_25112,
  title = {{UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30198},
}

@inproceedings{cvpr2024_laso_23882,
  title = {{LASO: Language-guided Affordance Segmentation on 3D Object}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30491},
}

@inproceedings{cvpr2021_taskology_17980,
  title = {{Taskology: Utilizing Task Relations at Scale}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2022_ins_19038,
  title = {{INS-Conv: Incremental Sparse Convolution for Online 3D Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2023_efem_20872,
  title = {{EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/23188},
}

@inproceedings{cvpr2024_edge_23321,
  title = {{Edge-Aware 3D Instance Segmentation Network with Intelligent Semantic Prior}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31283},
}

@inproceedings{aaai2024_fm_5938,
  title = {{FM-OV3D: Foundation Model-Based Cross-Modal Knowledge Blending for Open-Vocabulary 3D Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29612},
}

@inproceedings{cvpr2025_instancegaussian_26633,
  title = {{InstanceGaussian: Appearance-Semantic Joint Gaussian Representation for 3D Instance-Level Perception}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34079},
}

@inproceedings{cvpr2024_building_22886,
  title = {{Building a Strong Pre-Training Baseline for Universal 3D Large-Scale Perception}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30599},
}

@inproceedings{neurips2024_sam_71245,
  title = {{SAM-Guided Masked Token Prediction for 3D Scene Understanding}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95998},
}

@inproceedings{cvpr2024_lasa_23880,
  title = {{LASA: Instance Reconstruction from Real Scans using A Large-scale Aligned Shape Annotation Dataset}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29521},
}

@inproceedings{cvpr2025_any3dis_25493,
  title = {{Any3DIS: Class-Agnostic 3D Instance Segmentation by 2D Mask Tracking}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34232},
}

@inproceedings{cvpr2025_great_26372,
  title = {{GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32476},
}

@inproceedings{aaai2026_openscan_105575,
  title = {{OpenScan: A Benchmark for Generalized Open-Vocabulary 3D Scene Understanding}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38331},
}

@inproceedings{aaai2025_adaco_8015,
  title = {{AdaCo: Overcoming Visual Foundation Model Noise in 3D Semantic Segmentation via Adaptive Label Correction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33205},
}

@inproceedings{neurips2024_conceptfactory_73438,
  title = {{ConceptFactory: Facilitate 3D Object Knowledge Annotation with Object Conceptualization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97559},
}

@inproceedings{neurips2024_towards_74593,
  title = {{Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/92996},
}

@inproceedings{neurips2025_openbox_75408,
  title = {{OpenBox: Annotate Any Bounding Boxes in 3D}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=7ieZWCc7rB},
}

@inproceedings{icml2026_foundobj_54360,
  title = {{FoundObj: Self-supervised Foundation Models as Rewards for Label-free 3D Object Segmentation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=oDbc6DNJFj},
}

@inproceedings{neurips2024_assembly_74487,
  title = {{Assembly Fuzzy Representation on Hypergraph for Open-Set 3D Object Retrieval}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93088},
}

@inproceedings{neurips2025_voxdet_79079,
  title = {{VoxDet: Rethinking 3D Semantic Scene Completion as Dense Object Detection}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=lMhNrt0Bnm},
}

@inproceedings{neurips2025_towards_80108,
  title = {{Towards 3D Objectness Learning in an Open World}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=wEOmS8Aw1W},
}

@inproceedings{neurips2025_no_80194,
  title = {{No Object Is an Island: Enhancing 3D Semantic Segmentation Generalization with Diffusion Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=x8xtRQ5GIk},
}