% Key papers for Unified LiDAR 3D detection (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{cvpr2021_center_16698, title = {{Center-Based 3D Object Detection and Tracking}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2021}, } @inproceedings{cvpr2017_3d_11989, title = {{3D Bounding Box Estimation Using Deep Learning and Geometry}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2017}, } @inproceedings{aaai2021_voxel_1623, title = {{Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2021}, url = {https://aaai.org/papers/01201-voxel-r-cnn-towards-high-performance-voxel-based-3d-object-detection/}, } @inproceedings{cvpr2016_deep_11478, title = {{Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2016}, } @inproceedings{cvpr2019_stereo_14869, title = {{Stereo R-CNN Based 3D Object Detection for Autonomous Driving}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2019}, } @inproceedings{cvpr2023_voxelnext_22553, title = {{VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2023}, url = {https://cvpr.thecvf.com/virtual/2023/poster/22493}, } @inproceedings{cvpr2019_gs3d_14235, title = {{GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2019}, } @inproceedings{cvpr2022_focal_18870, title = {{Focal Sparse Convolutional Networks for 3D Object Detection}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2022}, } @inproceedings{cvpr2023_virtual_22528, title = {{Virtual Sparse Convolution for Multimodal 3D Object Detection}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2023}, url = {https://cvpr.thecvf.com/virtual/2023/poster/22600}, } @inproceedings{cvpr2020_mlcvnet_15861, title = {{MLCVNet: Multi-Level Context VoteNet for 3D Object Detection}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020}, } @inproceedings{cvpr2021_st3d_17812, title = {{ST3D: Self-Training for Unsupervised Domain Adaptation on 3D Object Detection}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2021}, } @inproceedings{aaai2023_transformation_4874, title = {{Transformation-Equivariant 3D Object Detection for Autonomous Driving}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2023}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/25380}, } @inproceedings{cvpr2020_sess_16160, title = {{SESS: Self-Ensembling Semi-Supervised 3D Object Detection}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020}, } @inproceedings{cvpr2021_objectron_17525, title = {{Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild With Pose Annotations}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2021}, } @inproceedings{cvpr2021_3dioumatch_16525, title = {{3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2021}, } @inproceedings{cvpr2022_voxel_20194, title = {{Voxel Field Fusion for 3D Object Detection}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2022}, } @inproceedings{cvpr2020_joint_15716, title = {{Joint 3D Instance Segmentation and Object Detection for Autonomous Driving}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020}, } @inproceedings{cvpr2021_3d_16522, title = {{3D-MAN: 3D Multi-Frame Attention Network for Object Detection}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2021}, } @inproceedings{cvpr2017_amodal_12055, title = {{Amodal Detection of 3D Objects: Inferring 3D Bounding Boxes From 2D Ones in RGB-Depth Images}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2017}, } @inproceedings{cvpr2016_deep_11467, title = {{Deep Exemplar 2D-3D Detection by Adapting From Real to Rendered Views}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2016}, url = {https://openaccess.thecvf.com/content_cvpr_2016/html/Massa_Deep_Exemplar_2D-3D_CVPR_2016_paper.html}, } @inproceedings{aaai2024_far3d_5969, title = {{Far3D: Expanding the Horizon for Surround-View 3D Object Detection}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/28033}, } @inproceedings{aaai2024_spgroup3d_7235, title = {{SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/28616}, } @inproceedings{cvpr2024_decoupled_23125, title = {{Decoupled Pseudo-labeling for Semi-Supervised Monocular 3D Object Detection}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/29278}, } @inproceedings{aaai2025_unidet3d_11152, title = {{UniDet3D: Multi-dataset Indoor 3D Object Detection}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/32459}, } @inproceedings{cvpr2024_3difftection_22634, title = {{3DiffTection: 3D Object Detection with Geometry-Aware Diffusion Features}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/30607}, } @inproceedings{aaai2025_look_9821, title = {{Look Inside for More: Internal Spatial Modality Perception for 3D Anomaly Detection}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/32546}, } @inproceedings{cvpr2024_enhancing_23369, title = {{Enhancing 3D Object Detection with 2D Detection-Guided Query Anchors}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/31787}, } @inproceedings{cvpr2024_pseudo_24542, title = {{Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-dataset 3D Object Detection}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/29260}, } @inproceedings{cvpr2025_cubify_25804, title = {{Cubify Anything: Scaling Indoor 3D Object Detection}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/35075}, } @inproceedings{cvpr2024_multi_24212, title = {{Multi-View Attentive Contextualization for Multi-View 3D Object Detection}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/30227}, } @inproceedings{cvpr2025_pillarhist_27256, title = {{PillarHist: A Quantization-aware Pillar Feature Encoder based on Height-aware Histogram}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/34216}, } @inproceedings{cvpr2025_learning_26738, title = {{Learning Class Prototypes for Unified Sparse-Supervised 3D Object Detection}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/35038}, } @inproceedings{cvpr2025_sp3d_27537, title = {{SP3D: Boosting Sparsely-Supervised 3D Object Detection via Accurate Cross-Modal Semantic Prompts}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/33023}, } @inproceedings{aaai2024_semi_7311, title = {{Semi-supervised 3D Object Detection with PatchTeacher and PillarMix}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/28432}, } @inproceedings{cvpr2025_fshnet_26226, title = {{FSHNet: Fully Sparse Hybrid Network for 3D Object Detection}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/33568}, } @inproceedings{iclr2024_v_34280, title = {{V-DETR: DETR with Vertex Relative Position Encoding for 3D Object Detection}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2024}, url = {https://iclr.cc/virtual/2024/poster/18795}, } @inproceedings{neurips2024_union_70801, title = {{UNION: Unsupervised 3D Object Detection using Object Appearance-based Pseudo-Classes}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/96331}, } @inproceedings{neurips2024_diffubox_71523, title = {{DiffuBox: Refining 3D Object Detection with Point Diffusion}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/95740}, } @inproceedings{aaai2024_daldet_5549, title = {{DALDet: Depth-Aware Learning Based Object Detection for Autonomous Driving}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/27996}, } @inproceedings{cvpr2025_uncertainty_27986, title = {{Uncertainty Meets Diversity: A Comprehensive Active Learning Framework for Indoor 3D Object Detection}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/34027}, }