{"total":82,"rows":[{"id":"2111.08897","title":"ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data","created":"2021-11-17","cited_by_count":454,"area":null},{"id":"2109.02497","title":"Voxel Transformer for 3D Object Detection","created":"2021-09-06","cited_by_count":247,"area":null},{"id":"2102.00463","title":"PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection","created":"2021-01-31","cited_by_count":232,"area":null},{"id":"2103.05073","title":"Offboard 3D Object Detection from Point Cloud Sequences","created":"2021-03-08","cited_by_count":145,"area":null},{"id":"2206.09474","title":"3D Object Detection for Autonomous Driving: A Comprehensive Survey","created":"2022-06-19","cited_by_count":132,"area":null},{"id":"2203.11139","title":"Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds","created":"2022-03-21","cited_by_count":131,"area":null},{"id":"2106.10823","title":"3D Object Detection for Autonomous Driving: A Survey","created":"2021-06-21","cited_by_count":106,"area":null},{"id":"2205.07403","title":"PillarNet: Real-Time and High-Performance Pillar-based 3D Object Detection","created":"2022-05-16","cited_by_count":99,"area":null},{"id":"2209.05588","title":"CenterFormer: Center-based Transformer for 3D Object Detection","created":"2022-09-12","cited_by_count":99,"area":null},{"id":"2103.03067","title":"TPCN: Temporal Point Cloud Networks for Motion Forecasting","created":"2021-03-04","cited_by_count":94,"area":null},{"id":"2203.09780","title":"Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion","created":"2022-03-18","cited_by_count":82,"area":null},{"id":"2109.02499","title":"Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection","created":"2021-09-06","cited_by_count":79,"area":null},{"id":"2104.11896","title":"M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers","created":"2021-04-24","cited_by_count":74,"area":null},{"id":"2210.08061","title":"Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving","created":"2022-10-14","cited_by_count":59,"area":null},{"id":"2112.02205","title":"Behind the Curtain: Learning Occluded Shapes for 3D Object Detection","created":"2021-12-04","cited_by_count":58,"area":null},{"id":"2212.03010","title":"GD-MAE: Generative Decoder for MAE Pre-training on LiDAR Point Clouds","created":"2022-12-06","cited_by_count":57,"area":null},{"id":"2104.00902","title":"HVPR: Hybrid Voxel-Point Representation for Single-stage 3D Object Detection","created":"2021-04-02","cited_by_count":47,"area":null},{"id":"2504.02477","title":"Multimodal Fusion and Vision-Language Models: A Survey for Robot Vision","created":"2025-04-03","cited_by_count":40,"area":"mllm"},{"id":"2106.00216","title":"A Voxel Graph CNN for Object Classification with Event Cameras","created":"2021-06-01","cited_by_count":38,"area":null},{"id":"2309.14491","title":"Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving","created":"2023-09-25","cited_by_count":37,"area":"driving"},{"id":"2311.08100","title":"PPAD: Iterative Interactions of Prediction and Planning for End-to-end Autonomous Driving","created":"2023-11-14","cited_by_count":33,"area":"driving"},{"id":"2311.11762","title":"MUVO: A Multimodal Generative World Model for Autonomous Driving with Geometric Representations","created":"2023-11-20","cited_by_count":33,"area":"wm"},{"id":"2306.06023","title":"DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds","created":"2023-06-09","cited_by_count":31,"area":null},{"id":"2104.09035","title":"Lidar Point Cloud Guided Monocular 3D Object Detection","created":"2021-04-19","cited_by_count":29,"area":null},{"id":"2209.14201","title":"Spatial Pruned Sparse Convolution for Efficient 3D Object Detection","created":"2022-09-28","cited_by_count":26,"area":null},{"id":"2107.14391","title":"From Multi-View to Hollow-3D: Hallucinated Hollow-3D R-CNN for 3D Object Detection","created":"2021-07-30","cited_by_count":24,"area":null},{"id":"2111.08318","title":"DRINet++: Efficient Voxel-as-point Point Cloud Segmentation","created":"2021-11-16","cited_by_count":23,"area":null},{"id":"2108.04023","title":"DRINet: A Dual-Representation Iterative Learning Network for Point Cloud Segmentation","created":"2021-08-09","cited_by_count":22,"area":null},{"id":"2210.12755","title":"LCPFormer: Towards Effective 3D Point Cloud Analysis via Local Context Propagation in Transformers","created":"2022-10-23","cited_by_count":21,"area":null},{"id":"2305.06621","title":"PVT-SSD: Single-Stage 3D Object Detector with Point-Voxel Transformer","created":"2023-05-11","cited_by_count":21,"area":null},{"id":"2205.00705","title":"3D Object Detection with a Self-supervised Lidar Scene Flow Backbone","created":"2022-05-02","cited_by_count":19,"area":null},{"id":"2112.07787","title":"Revisiting 3D Object Detection From an Egocentric Perspective","created":"2021-12-14","cited_by_count":18,"area":null},{"id":"2507.17665","title":"Perspective-Invariant 3D Object Detection","created":"2025-07-23","cited_by_count":18,"area":"wm"},{"id":"2203.00871","title":"Dense Voxel Fusion for 3D Object Detection","created":"2022-03-02","cited_by_count":17,"area":null},{"id":"2111.09450","title":"See Eye to Eye: A Lidar-Agnostic 3D Detection Framework for Unsupervised Multi-Target Domain Adaptation","created":"2021-11-17","cited_by_count":15,"area":null},{"id":"2205.15531","title":"itKD: Interchange Transfer-based Knowledge Distillation for 3D Object Detection","created":"2022-05-31","cited_by_count":14,"area":"distill"},{"id":"2405.18734","title":"Information Entropy Guided Height-aware Histogram for Quantization-friendly Pillar Feature Encoder","created":"2024-05-29","cited_by_count":14,"area":null},{"id":"2108.03634","title":"Anchor-free 3D Single Stage Detector with Mask-Guided Attention for Point Cloud","created":"2021-08-08","cited_by_count":13,"area":null},{"id":"2204.06577","title":"OccAM's Laser: Occlusion-based Attribution Maps for 3D Object Detectors on LiDAR Data","created":"2022-04-13","cited_by_count":13,"area":null},{"id":"2306.03206","title":"MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences","created":"2023-06-05","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":"2110.09355","title":"FAST3D: Flow-Aware Self-Training for 3D Object Detectors","created":"2021-10-18","cited_by_count":10,"area":null},{"id":"2311.17770","title":"PillarNeSt: Embracing Backbone Scaling and Pretraining for Pillar-based 3D Object Detection","created":"2023-11-29","cited_by_count":10,"area":null},{"id":"2210.05896","title":"Common Corruption Robustness of Point Cloud Detectors: Benchmark and Enhancement","created":"2022-10-12","cited_by_count":9,"area":null},{"id":"2104.06041","title":"OCM3D: Object-Centric Monocular 3D Object Detection","created":"2021-04-13","cited_by_count":8,"area":null},{"id":"2111.14055","title":"ESGN: Efficient Stereo Geometry Network for Fast 3D Object Detection","created":"2021-11-28","cited_by_count":7,"area":null},{"id":"2211.08248","title":"3D Cascade RCNN: High Quality Object Detection in Point Clouds","created":"2022-11-15","cited_by_count":7,"area":null},{"id":"2305.15836","title":"Improved Multi-Scale Grid Rendering of Point Clouds for Radar Object Detection Networks","created":"2023-05-25","cited_by_count":6,"area":null},{"id":"2202.11868","title":"CG-SSD: Corner Guided Single Stage 3D Object Detection from LiDAR Point Cloud","created":"2022-02-24","cited_by_count":5,"area":null},{"id":"2203.13090","title":"AziNorm: Exploiting the Radial Symmetry of Point Cloud for Azimuth-Normalized 3D Perception","created":"2022-03-24","cited_by_count":5,"area":null},{"id":"2505.10601","title":"SRMamba: Mamba for Super-Resolution of LiDAR Point Clouds","created":"2025-05-15","cited_by_count":5,"area":"ssm"},{"id":"2505.24634","title":"NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation","created":"2025-05-30","cited_by_count":5,"area":null},{"id":"2212.00623","title":"BEV-LGKD: A Unified LiDAR-Guided Knowledge Distillation Framework for BEV 3D Object Detection","created":"2022-12-01","cited_by_count":4,"area":"distill"},{"id":"2305.07713","title":"Multi-Modal 3D Object Detection by Box Matching","created":"2023-05-12","cited_by_count":4,"area":null},{"id":"2110.06049","title":"Improved Pillar with Fine-grained Feature for 3D Object Detection","created":"2021-10-12","cited_by_count":3,"area":null},{"id":"2208.08780","title":"GraVoS: Voxel Selection for 3D Point-Cloud Detection","created":"2022-08-18","cited_by_count":3,"area":null},{"id":"2208.13414","title":"PV-RCNN++: Semantical Point-Voxel Feature Interaction for 3D Object Detection","created":"2022-08-29","cited_by_count":3,"area":null},{"id":"2308.06985","title":"PatchContrast: Self-Supervised Pre-training for 3D Object Detection","created":"2023-08-14","cited_by_count":3,"area":null},{"id":"2308.16518","title":"MS23D: A 3D Object Detection Method Using Multi-Scale Semantic Feature Points to Construct 3D Feature Layer","created":"2023-08-31","cited_by_count":3,"area":null},{"id":"2310.06385","title":"3DS-SLAM: A 3D Object Detection based Semantic SLAM towards Dynamic Indoor Environments","created":"2023-10-10","cited_by_count":3,"area":null},{"id":"2303.17921","title":"IC-FPS: Instance-Centroid Faster Point Sampling Module for 3D Point-base Object Detection","created":"2023-03-31","cited_by_count":2,"area":null},{"id":"2309.02583","title":"Representation Learning for Sequential Volumetric Design Tasks","created":"2023-09-05","cited_by_count":2,"area":null},{"id":"2310.06603","title":"V2X-AHD:Vehicle-to-Everything Cooperation Perception via Asymmetric Heterogenous Distillation Network","created":"2023-10-10","cited_by_count":2,"area":null},{"id":"2310.20319","title":"GACE: Geometry Aware Confidence Enhancement for Black-Box 3D Object Detectors on LiDAR-Data","created":"2023-10-31","cited_by_count":2,"area":null},{"id":"2407.02098","title":"DM3D: Distortion-Minimized Weight Pruning for Lossless 3D Object Detection","created":"2024-07-02","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":"2511.18713","title":"DriveFlow: Rectified Flow Adaptation for Robust 3D Object Detection in Autonomous Driving","created":"2025-11-24","cited_by_count":2,"area":"diffusion"},{"id":"2107.12137","title":"AA3DNet: Attention Augmented Real Time 3D Object Detection","created":"2021-07-26","cited_by_count":1,"area":null},{"id":"2206.07272","title":"Machine vision for vial positioning detection toward the safe automation of material synthesis","created":"2022-06-15","cited_by_count":1,"area":null},{"id":"2209.12254","title":"From One to Many: Dynamic Cross Attention Networks for LiDAR and Camera Fusion","created":"2022-09-25","cited_by_count":1,"area":null},{"id":"2302.14522","title":"AdaptiveShape: Solving Shape Variability for 3D Object Detection with Geometry Aware Anchor Distributions","created":"2023-02-28","cited_by_count":1,"area":null},{"id":"2403.01978","title":"Leveraging Anchor-based LiDAR 3D Object Detection via Point Assisted Sample Selection","created":"2024-03-04","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":"2403.06433","title":"Fine-Grained Pillar Feature Encoding Via Spatio-Temporal Virtual Grid for 3D Object Detection","created":"2024-03-11","cited_by_count":1,"area":null},{"id":"2405.01258","title":"Towards Consistent Object Detection via LiDAR-Camera Synergy","created":"2024-05-02","cited_by_count":1,"area":null},{"id":"2410.00582","title":"Can We Remove the Ground? Obstacle-aware Point Cloud Compression for Remote Object Detection","created":"2024-10-01","cited_by_count":1,"area":null},{"id":"2208.14796","title":"3DLG-Detector: 3D Object Detection via Simultaneous Local-Global Feature Learning","created":"2022-08-31","cited_by_count":0,"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":"2304.08304","title":"SDVRF: Sparse-to-Dense Voxel Region Fusion for Multi-modal 3D Object Detection","created":"2023-04-17","cited_by_count":0,"area":null},{"id":"2309.04549","title":"Poster: Making Edge-assisted LiDAR Perceptions Robust to Lossy Point Cloud Compression","created":"2023-09-08","cited_by_count":0,"area":null},{"id":"2503.12093","title":"SFMNet: Sparse Focal Modulation for 3D Object Detection","created":"2025-03-15","cited_by_count":0,"area":null},{"id":"2509.05780","title":"3DPillars: Pillar-based two-stage 3D object detection","created":"2025-09-06","cited_by_count":0,"area":null}],"next_cursor":null}