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

@inproceedings{cvpr2023_multimodal_21625,
  title = {{Multimodal Industrial Anomaly Detection via Hybrid Fusion}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22140},
}

@inproceedings{cvpr2017_quad_12557,
  title = {{Quad-Networks: Unsupervised Learning to Rank for Interest Point Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2022_a_18203,
  title = {{A Keypoint-Based Global Association Network for Lane Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2019_revealing_14738,
  title = {{Revealing Scenes by Inverting Structure From Motion Reconstructions}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2019_privacy_14667,
  title = {{Privacy Preserving Image-Based Localization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2020_fusion_15573,
  title = {{Fusion-Aware Point Convolution for Online Semantic 3D Scene Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2018_document_13035,
  title = {{Document Enhancement Using Visibility Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Kligler_Document_Enhancement_Using_CVPR_2018_paper.html},
}

@inproceedings{cvpr2024_rcooper_24561,
  title = {{RCooper: A Real-world Large-scale Dataset for Roadside Cooperative Perception}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29827},
}

@inproceedings{cvpr2024_sparseocc_24863,
  title = {{SparseOcc: Rethinking Sparse Latent Representation for Vision-Based Semantic Occupancy Prediction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30373},
}

@inproceedings{cvpr2018_five_13122,
  title = {{Five-Point Fundamental Matrix Estimation for Uncalibrated Cameras}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Barath_Five-Point_Fundamental_Matrix_CVPR_2018_paper.html},
}

@inproceedings{cvpr2016_progressive_11776,
  title = {{Progressive Prioritized Multi-View Stereo}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2024_tri_25088,
  title = {{Tri-Perspective View Decomposition for Geometry-Aware Depth Completion}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30454},
}

@inproceedings{cvpr2023_cxtrack_20559,
  title = {{CXTrack: Improving 3D Point Cloud Tracking With Contextual Information}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22624},
}

@inproceedings{neurips2021_three_63175,
  title = {{Three-dimensional spike localization and improved motion correction for Neuropixels recordings}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/26709},
}

@inproceedings{cvpr2020_connect_15272,
  title = {{Connect-and-Slice: An Hybrid Approach for Reconstructing 3D Objects}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2021_how_17132,
  title = {{How Privacy-Preserving Are Line Clouds? Recovering Scene Details From 3D Lines}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2023_cimi4d_20534,
  title = {{CIMI4D: A Large Multimodal Climbing Motion Dataset Under Human-Scene Interactions}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22061},
}

@inproceedings{cvpr2016_detecting_11495,
  title = {{Detecting Vanishing Points Using Global Image Context in a Non-Manhattan World}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{icml2022_from_40590,
  title = {{From data to functa: Your data point is a function and you can treat it like one}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/16413},
}

@inproceedings{cvpr2023_a_20300,
  title = {{A Rotation-Translation-Decoupled Solution for Robust and Efficient Visual-Inertial Initialization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21117},
}

@inproceedings{cvpr2024_a_22659,
  title = {{A Simple and Effective Point-based Network for Event Camera 6-DOFs Pose Relocalization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31045},
}

@inproceedings{cvpr2025_real_27393,
  title = {{Real-IAD D3: A Real-World 2D/Pseudo-3D/3D Dataset for Industrial Anomaly Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34155},
}

@inproceedings{neurips2024_drivaernet_72969,
  title = {{DrivAerNet++: A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97609},
}

@inproceedings{aaai2024_m3sot_6560,
  title = {{M3SOT: Multi-Frame, Multi-Field, Multi-Space 3D Single Object Tracking}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28152},
}

@inproceedings{cvpr2025_po3ad_27194,
  title = {{PO3AD: Predicting Point Offsets toward Better 3D Point Cloud Anomaly Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32649},
}

@inproceedings{aaai2026_towards_100481,
  title = {{Towards High-Resolution 3D Anomaly Detection: A Scalable Dataset and Real-Time Framework for Subtle Industrial Defects}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37328},
}

@inproceedings{cvpr2025_fg_26210,
  title = {{FG^2: Fine-Grained Cross-View Localization by Fine-Grained Feature Matching}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34484},
}

@inproceedings{cvpr2025_spars3r_27541,
  title = {{SPARS3R: Semantic Prior Alignment and Regularization for Sparse 3D Reconstruction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/35006},
}

@inproceedings{cvpr2024_efficient_23336,
  title = {{Efficient Privacy-Preserving Visual Localization Using 3D Ray Clouds}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29921},
}

@inproceedings{cvpr2024_noisy_24296,
  title = {{Noisy One-point Homographies are Surprisingly Good}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31721},
}

@inproceedings{cvpr2024_codedevents_22987,
  title = {{CodedEvents: Optimal Point-Spread-Function Engineering for 3D-Tracking with Event Cameras}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30958},
}

@inproceedings{neurips2024_tapvid_72368,
  title = {{TAPVid-3D: A Benchmark for Tracking Any Point in 3D}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97673},
}

@inproceedings{cvpr2024_a_22666,
  title = {{A Unified Framework for Human-centric Point Cloud Video Understanding}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29870},
}

@inproceedings{neurips2024_fast_72953,
  title = {{Fast Encoder-Based 3D from Casual Videos via Point Track Processing}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94459},
}

@inproceedings{aaai2025_3d_7866,
  title = {{3D Measurement of Complex Textured Objects Based on Bidirectional Fringe Projection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32233},
}

@inproceedings{cvpr2025_campoint_25675,
  title = {{CamPoint: Boosting Point Cloud Segmentation with Virtual Camera}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34611},
}

@inproceedings{neurips2024_2d_74344,
  title = {{2D-OOB: Attributing Data Contribution Through Joint Valuation Framework}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93216},
}