% Key papers for Vision-based 3D occupancy prediction (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2023_tri_22418,
  title = {{Tri-Perspective View for Vision-Based 3D Semantic Occupancy Prediction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22372},
}

@inproceedings{cvpr2020_occuseg_15968,
  title = {{OccuSeg: Occupancy-Aware 3D Instance Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2020_clustervo_15256,
  title = {{ClusterVO: Clustering Moving Instances and Estimating Visual Odometry for Self and Surroundings}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{neurips2023_occ3d_67187,
  title = {{Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Driving}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/73670},
}

@inproceedings{cvpr2022_stcrowd_19784,
  title = {{STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2024_cotr_22929,
  title = {{COTR: Compact Occupancy TRansformer for Vision-based 3D Occupancy Prediction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31182},
}

@inproceedings{cvpr2024_cam4docc_22944,
  title = {{Cam4DOcc: Benchmark for Camera-Only 4D Occupancy Forecasting in Autonomous Driving Applications}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31223},
}

@inproceedings{neurips2024_radarocc_70302,
  title = {{RadarOcc: Robust 3D Occupancy Prediction with 4D Imaging Radar}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96791},
}

@inproceedings{cvpr2024_not_24303,
  title = {{Not All Voxels Are Equal: Hardness-Aware Semantic Scene Completion with Self-Distillation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31325},
}

@inproceedings{cvpr2025_gaussianformer_26389,
  title = {{GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34107},
}

@inproceedings{cvpr2024_lowrankocc_24041,
  title = {{LowRankOcc: Tensor Decomposition and Low-Rank Recovery for Vision-based 3D Semantic Occupancy Prediction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31437},
}

@inproceedings{neurips2024_octreeocc_73914,
  title = {{OctreeOcc: Efficient and Multi-Granularity Occupancy Prediction Using Octree Queries}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93597},
}

@inproceedings{aaai2024_radocc_7064,
  title = {{RadOcc: Learning Cross-Modality Occupancy Knowledge through Rendering Assisted Distillation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28533},
}

@inproceedings{cvpr2025_gaussianworld_26393,
  title = {{GaussianWorld: Gaussian World Model for Streaming 3D Occupancy Prediction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32809},
}

@inproceedings{aaai2024_octocc_6814,
  title = {{OctOcc: High-Resolution 3D Occupancy Prediction with Octree}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28234},
}

@inproceedings{cvpr2025_gausstr_26384,
  title = {{GaussTR: Foundation Model-Aligned Gaussian Transformer for Self-Supervised 3D Spatial Understanding}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33441},
}

@inproceedings{cvpr2025_stcocc_27547,
  title = {{STCOcc: Sparse Spatial-Temporal Cascade Renovation for 3D Occupancy and Scene Flow Prediction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33949},
}

@inproceedings{aaai2025_protoocc_10393,
  title = {{ProtoOcc: Accurate, Efficient 3D Occupancy Prediction Using Dual Branch Encoder-Prototype Query Decoder}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32450},
}

@inproceedings{aaai2025_loma_9686,
  title = {{LOMA: Language-assisted Semantic Occupancy Network via Triplane Mamba}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32264},
}

@inproceedings{aaai2025_vipocc_11237,
  title = {{ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32308},
}

@inproceedings{cvpr2025_rethinking_27450,
  title = {{Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32801},
}

@inproceedings{neurips2025_see_74920,
  title = {{See through the Dark: Learning Illumination-affined Representations for Nighttime Occupancy Prediction}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=2Yk4GnB3DY},
}

@inproceedings{neurips2025_come_76003,
  title = {{COME: Adding Scene-Centric Forecasting Control to Occupancy World Model}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=EYxLmZRSK1},
}

@inproceedings{neurips2025_quadricformer_78439,
  title = {{QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=eZNdkwJYbN},
}

@inproceedings{aaai2025_achieving_8006,
  title = {{Achieving Speed-Accuracy Balance in Vision-based 3D Occupancy Prediction via Geometric-Semantic Disentanglement}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32358},
}