{"total":58,"rows":[{"id":"2301.06051","title":"DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets","created":"2023-01-15","cited_by_count":122,"area":null},{"id":"2304.06906","title":"Swin3D: A Pretrained Transformer Backbone for 3D Indoor Scene Understanding","created":"2023-04-14","cited_by_count":113,"area":null},{"id":"2305.03045","title":"OctFormer: Octree-based Transformers for 3D Point Clouds","created":"2023-05-04","cited_by_count":109,"area":null},{"id":"2311.14405","title":"OneFormer3D: One Transformer for Unified Point Cloud Segmentation","created":"2023-11-24","cited_by_count":95,"area":null},{"id":"2308.07732","title":"UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation","created":"2023-08-15","cited_by_count":74,"area":null},{"id":"2506.07491","title":"SpatialLM: Training Large Language Models for Structured Indoor Modeling","created":"2025-06-09","cited_by_count":65,"area":null},{"id":"2307.14620","title":"NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection","created":"2023-07-27","cited_by_count":51,"area":null},{"id":"2311.14960","title":"Point Cloud Pre-training with Diffusion Models","created":"2023-11-25","cited_by_count":47,"area":"diffusion"},{"id":"2309.01692","title":"Mask-Attention-Free Transformer for 3D Instance Segmentation","created":"2023-09-04","cited_by_count":46,"area":null},{"id":"2412.04380","title":"EmbodiedOcc: Embodied 3D Occupancy Prediction for Vision-based Online Scene Understanding","created":"2024-12-05","cited_by_count":45,"area":null},{"id":"2407.18232","title":"LION: Linear Group RNN for 3D Object Detection in Point Clouds","created":"2024-07-25","cited_by_count":38,"area":"ssm"},{"id":"2308.04409","title":"V-DETR: DETR with Vertex Relative Position Encoding for 3D Object Detection","created":"2023-08-08","cited_by_count":35,"area":null},{"id":"2305.08776","title":"Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models","created":"2023-05-15","cited_by_count":27,"area":"distill"},{"id":"2310.05699","title":"Uni3DETR: Unified 3D Detection Transformer","created":"2023-10-09","cited_by_count":27,"area":null},{"id":"2403.19580","title":"OV-Uni3DETR: Towards Unified Open-Vocabulary 3D Object Detection via Cycle-Modality Propagation","created":"2024-03-28","cited_by_count":19,"area":null},{"id":"2212.04098","title":"EPCL: Frozen CLIP Transformer is An Efficient Point Cloud Encoder","created":"2022-12-08","cited_by_count":18,"area":null},{"id":"2304.13031","title":"DQS3D: Densely-matched Quantization-aware Semi-supervised 3D Detection","created":"2023-04-25","cited_by_count":16,"area":null},{"id":"2312.11112","title":"ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding","created":"2023-12-18","cited_by_count":16,"area":null},{"id":"2312.02966","title":"Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object Detection","created":"2023-12-05","cited_by_count":14,"area":"diffusion"},{"id":"2401.11204","title":"Towards Category Unification of 3D Single Object Tracking on Point Clouds","created":"2024-01-20","cited_by_count":13,"area":null},{"id":"2410.01647","title":"3DGS-DET: Empower 3D Gaussian Splatting with Boundary Guidance and Box-Focused Sampling for Indoor 3D Object Detection","created":"2024-10-02","cited_by_count":13,"area":null},{"id":"2407.11564","title":"SGIFormer: Semantic-guided and Geometric-enhanced Interleaving Transformer for 3D Instance Segmentation","created":"2024-07-16","cited_by_count":12,"area":null},{"id":"2312.03026","title":"Uni3DL: Unified Model for 3D and Language Understanding","created":"2023-12-05","cited_by_count":9,"area":null},{"id":"2401.05011","title":"Dual-Perspective Knowledge Enrichment for Semi-Supervised 3D Object Detection","created":"2024-01-10","cited_by_count":9,"area":null},{"id":"2403.06403","title":"PointSeg: A Training-Free Paradigm for 3D Scene Segmentation via Foundation Models","created":"2024-03-11","cited_by_count":9,"area":null},{"id":"2403.15019","title":"BSNet: Box-Supervised Simulation-assisted Mean Teacher for 3D Instance Segmentation","created":"2024-03-22","cited_by_count":9,"area":null},{"id":"2408.17027","title":"ConDense: Consistent 2D/3D Pre-training for Dense and Sparse Features from Multi-View Images","created":"2024-08-30","cited_by_count":9,"area":null},{"id":"2411.01584","title":"One for All: Multi-Domain Joint Training for Point Cloud Based 3D Object Detection","created":"2024-11-03","cited_by_count":8,"area":null},{"id":"2311.04501","title":"PRED: Pre-training via Semantic Rendering on LiDAR Point Clouds","created":"2023-11-08","cited_by_count":7,"area":null},{"id":"2408.00286","title":"Diff3DETR:Agent-based Diffusion Model for Semi-supervised 3D Object Detection","created":"2024-08-01","cited_by_count":7,"area":"diffusion"},{"id":"2402.14215","title":"Swin3D++: Effective Multi-Source Pretraining for 3D Indoor Scene Understanding","created":"2024-02-22","cited_by_count":6,"area":null},{"id":"2402.18573","title":"Towards Unified 3D Object Detection via Algorithm and Data Unification","created":"2024-02-28","cited_by_count":6,"area":null},{"id":"2410.01404","title":"Gaussian-Det: Learning Closed-Surface Gaussians for 3D Object Detection","created":"2024-10-02","cited_by_count":6,"area":null},{"id":"2308.08754","title":"Fine-grained Text and Image Guided Point Cloud Completion with CLIP Model","created":"2023-08-17","cited_by_count":5,"area":null},{"id":"2312.12418","title":"LASA: Instance Reconstruction from Real Scans using A Large-scale Aligned Shape Annotation Dataset","created":"2023-12-19","cited_by_count":5,"area":null},{"id":"2503.14493","title":"State Space Model Meets Transformer: A New Paradigm for 3D Object Detection","created":"2025-03-18","cited_by_count":5,"area":null},{"id":"2305.03716","title":"3D Small Object Detection with Dynamic Spatial Pruning","created":"2023-05-05","cited_by_count":4,"area":null},{"id":"2402.14464","title":"NeRF-Det++: Incorporating Semantic Cues and Perspective-aware Depth Supervision for Indoor Multi-View 3D Detection","created":"2024-02-22","cited_by_count":4,"area":null},{"id":"2505.16399","title":"Sketchy Bounding-box Supervision for 3D Instance Segmentation","created":"2025-05-22","cited_by_count":4,"area":null},{"id":"2306.02558","title":"Multi-View Representation is What You Need for Point-Cloud Pre-Training","created":"2023-06-05","cited_by_count":3,"area":null},{"id":"2401.11718","title":"MsSVT++: Mixed-scale Sparse Voxel Transformer with Center Voting for 3D Object Detection","created":"2024-01-22","cited_by_count":3,"area":null},{"id":"2403.14133","title":"3D Object Detection from Point Cloud via Voting Step Diffusion","created":"2024-03-21","cited_by_count":3,"area":null},{"id":"2410.12158","title":"SAM-Guided Masked Token Prediction for 3D Scene Understanding","created":"2024-10-16","cited_by_count":3,"area":"distill"},{"id":"2511.01768","title":"UniLION: Towards Unified Autonomous Driving Model with Linear Group RNNs","created":"2025-11-03","cited_by_count":3,"area":"driving"},{"id":"2404.13921","title":"NeRF-DetS: Enhanced Adaptive Spatial-wise Sampling and View-wise Fusion Strategies for NeRF-based Indoor Multi-view 3D Object Detection","created":"2024-04-22","cited_by_count":2,"area":null},{"id":"2504.03654","title":"PointSplit: Towards On-device 3D Object Detection with Heterogeneous Low-power Accelerators","created":"2025-03-04","cited_by_count":2,"area":null},{"id":"2604.07997","title":"Few-Shot Incremental 3D Object Detection in Dynamic Indoor Environments","created":"2026-04-09","cited_by_count":2,"area":null},{"id":"2303.15493","title":"Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis","created":"2023-03-27","cited_by_count":1,"area":null},{"id":"2401.07477","title":"CascadeV-Det: Cascade Point Voting for 3D Object Detection","created":"2024-01-15","cited_by_count":1,"area":null},{"id":"2403.06166","title":"Cross-Cluster Shifting for Efficient and Effective 3D Object Detection in Autonomous Driving","created":"2024-03-10","cited_by_count":1,"area":null},{"id":"2408.06604","title":"MV-DETR: Multi-modality indoor object detection by Multi-View DEtecton TRansformers","created":"2024-08-13","cited_by_count":1,"area":null},{"id":"2301.02650","title":"Hierarchical Point Attention for Indoor 3D Object Detection","created":"2023-01-06","cited_by_count":0,"area":null},{"id":"2408.15608","title":"Geometry-guided Feature Learning and Fusion for Indoor Scene Reconstruction","created":"2024-08-28","cited_by_count":0,"area":null},{"id":"2601.22616","title":"UniGeo: A Unified 3D Indoor Object Detection Framework Integrating Geometry-Aware Learning and Dynamic Channel Gating","created":"2026-01-30","cited_by_count":0,"area":null},{"id":"2605.09899","title":"Hyperbolic Distillation: Geometry-Guided Cross-Modal Transfer for Robust 3D Object Detection","created":"2026-05-11","cited_by_count":0,"area":"distill"},{"id":"2607.06097","title":"PVCap: Towards Accurate 3D Dense Captioning via PseudoCap and VoxelCapNet","created":"2026-07-07","cited_by_count":0,"area":null},{"id":"2607.14560","title":"Breaking the Model Forgetting Cycle in Long-Incremental 3D Object Detection","created":"2026-07-16","cited_by_count":0,"area":null},{"id":"2609.26702","title":"DIFTA-3D: Depth-Consistent Instance-Level Feature Transfer and Adaptation of DINOv3 for 3D Detection","created":"2026-09-22","cited_by_count":0,"area":null}],"next_cursor":null}