{"total":79,"rows":[{"id":"2303.11301","title":"VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking","created":"2023-03-20","cited_by_count":222,"area":null},{"id":"2112.06375","title":"Embracing Single Stride 3D Object Detector with Sparse Transformer","created":"2021-12-13","cited_by_count":193,"area":null},{"id":"2311.10813","title":"A Language Agent for Autonomous Driving","created":"2023-11-17","cited_by_count":164,"area":"driving"},{"id":"2204.12463","title":"Focal Sparse Convolutional Networks for 3D Object Detection","created":"2022-04-26","cited_by_count":142,"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":"2303.12766","title":"Spherical Transformer for LiDAR-based 3D Recognition","created":"2023-03-22","cited_by_count":125,"area":null},{"id":"2209.05324","title":"Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe","created":"2022-09-12","cited_by_count":122,"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":"2112.09205","title":"AFDetV2: Rethinking the Necessity of the Second Stage for Object Detection from Point Clouds","created":"2021-12-16","cited_by_count":88,"area":null},{"id":"2207.10035","title":"Fully Sparse 3D Object Detection","created":"2022-07-20","cited_by_count":84,"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":"2303.02314","title":"Virtual Sparse Convolution for Multimodal 3D Object Detection","created":"2023-03-04","cited_by_count":81,"area":null},{"id":"2303.13560","title":"Collaboration Helps Camera Overtake LiDAR in 3D Detection","created":"2023-03-23","cited_by_count":81,"area":null},{"id":"2303.03595","title":"LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross-Modal Fusion","created":"2023-03-07","cited_by_count":80,"area":null},{"id":"2206.10555","title":"LargeKernel3D: Scaling up Kernels in 3D Sparse CNNs","created":"2022-06-21","cited_by_count":72,"area":null},{"id":"2203.05662","title":"Point Density-Aware Voxels for LiDAR 3D Object Detection","created":"2022-03-10","cited_by_count":70,"area":null},{"id":"2205.05979","title":"MPPNet: Multi-Frame Feature Intertwining with Proxy Points for 3D Temporal Object Detection","created":"2022-05-12","cited_by_count":65,"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":"2303.15083","title":"UniDistill: A Universal Cross-Modality Knowledge Distillation Framework for 3D Object Detection in Bird's-Eye View","created":"2023-03-27","cited_by_count":43,"area":"distill"},{"id":"2208.03624","title":"Graph R-CNN: Towards Accurate 3D Object Detection with Semantic-Decorated Local Graph","created":"2022-08-07","cited_by_count":42,"area":null},{"id":"2302.02367","title":"FastPillars: A Deployment-friendly Pillar-based 3D Detector","created":"2023-02-05","cited_by_count":39,"area":null},{"id":"2203.12870","title":"RNNPose: Recurrent 6-DoF Object Pose Refinement with Robust Correspondence Field Estimation and Pose Optimization","created":"2022-03-24","cited_by_count":38,"area":null},{"id":"2212.02845","title":"SSDA3D: Semi-supervised Domain Adaptation for 3D Object Detection from Point Cloud","created":"2022-12-06","cited_by_count":37,"area":null},{"id":"2308.03755","title":"FSD V2: Improving Fully Sparse 3D Object Detection with Virtual Voxels","created":"2023-08-07","cited_by_count":34,"area":null},{"id":"2301.02562","title":"Super Sparse 3D Object Detection","created":"2023-01-05","cited_by_count":32,"area":null},{"id":"2303.12621","title":"OcTr: Octree-based Transformer for 3D Object Detection","created":"2023-03-22","cited_by_count":32,"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":"2210.09615","title":"Homogeneous Multi-modal Feature Fusion and Interaction for 3D Object Detection","created":"2022-10-18","cited_by_count":26,"area":null},{"id":"2207.10909","title":"DBQ-SSD: Dynamic Ball Query for Efficient 3D Object Detection","created":"2022-07-22","cited_by_count":25,"area":null},{"id":"2207.02466","title":"GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation","created":"2022-07-06","cited_by_count":24,"area":null},{"id":"2304.01464","title":"Hierarchical Supervision and Shuffle Data Augmentation for 3D Semi-Supervised Object Detection","created":"2023-04-04","cited_by_count":24,"area":"distill"},{"id":"2307.10249","title":"RCM-Fusion: Radar-Camera Multi-Level Fusion for 3D Object Detection","created":"2023-07-17","cited_by_count":23,"area":null},{"id":"2206.14971","title":"Boosting 3D Object Detection by Simulating Multimodality on Point Clouds","created":"2022-06-30","cited_by_count":22,"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":"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":"2203.13394","title":"Point2Seq: Detecting 3D Objects as Sequences","created":"2022-03-25","cited_by_count":15,"area":null},{"id":"2209.10733","title":"FusionRCNN: LiDAR-Camera Fusion for Two-stage 3D Object Detection","created":"2022-09-22","cited_by_count":14,"area":null},{"id":"2211.13067","title":"Sparse2Dense: Learning to Densify 3D Features for 3D Object Detection","created":"2022-11-23","cited_by_count":14,"area":null},{"id":"2304.14271","title":"A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Services","created":"2023-04-13","cited_by_count":14,"area":null},{"id":"2112.01914","title":"SGM3D: Stereo Guided Monocular 3D Object Detection","created":"2021-12-03","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":"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":"2211.13529","title":"3D Dual-Fusion: Dual-Domain Dual-Query Camera-LiDAR Fusion for 3D Object Detection","created":"2022-11-24","cited_by_count":11,"area":null},{"id":"2204.00132","title":"Real-Time and Robust 3D Object Detection Within Road-Side LiDARs Using Domain Adaptation","created":"2022-03-31","cited_by_count":10,"area":null},{"id":"2402.17562","title":"An Empirical Study of the Generalization Ability of Lidar 3D Object Detectors to Unseen Domains","created":"2024-02-27","cited_by_count":10,"area":null},{"id":"2308.03982","title":"PARTNER: Level up the Polar Representation for LiDAR 3D Object Detection","created":"2023-08-08","cited_by_count":9,"area":null},{"id":"2207.00865","title":"ORA3D: Overlap Region Aware Multi-view 3D Object Detection","created":"2022-07-02","cited_by_count":8,"area":null},{"id":"2502.19630","title":"Ev-3DOD: Pushing the Temporal Boundaries of 3D Object Detection with Event Cameras","created":"2025-02-26","cited_by_count":8,"area":null},{"id":"2207.05497","title":"Paint and Distill: Boosting 3D Object Detection with Semantic Passing Network","created":"2022-07-12","cited_by_count":7,"area":null},{"id":"2305.07713","title":"Multi-Modal 3D Object Detection by Box Matching","created":"2023-05-12","cited_by_count":4,"area":null},{"id":"2205.01142","title":"Cost-Aware Evaluation and Model Scaling for LiDAR-Based 3D Object Detection","created":"2022-05-02","cited_by_count":3,"area":null},{"id":"2309.02185","title":"BEVTrack: A Simple and Strong Baseline for 3D Single Object Tracking in Bird's-Eye View","created":"2023-09-05","cited_by_count":3,"area":null},{"id":"2302.13301","title":"Pillar R-CNN for Point Cloud 3D Object Detection","created":"2023-02-26","cited_by_count":2,"area":null},{"id":"2304.01519","title":"LiDAR-Based 3D Object Detection via Hybrid 2D Semantic Scene Generation","created":"2023-04-04","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":"2507.19304","title":"Multistream Network for LiDAR and Camera-based 3D Object Detection in Outdoor Scenes","created":"2025-07-25","cited_by_count":2,"area":null},{"id":"2209.01745","title":"SEFormer: Structure Embedding Transformer for 3D Object Detection","created":"2022-09-05","cited_by_count":1,"area":null},{"id":"2210.10983","title":"PSA-Det3D: Pillar Set Abstraction for 3D object Detection","created":"2022-10-20","cited_by_count":1,"area":null},{"id":"2211.05580","title":"Hyperbolic Cosine Transformer for LiDAR 3D Object Detection","created":"2022-11-10","cited_by_count":1,"area":null},{"id":"2212.07560","title":"Multi-level and multi-modal feature fusion for accurate 3D object detection in Connected and Automated Vehicles","created":"2022-12-15","cited_by_count":1,"area":null},{"id":"2402.07680","title":"AYDIV: Adaptable Yielding 3D Object Detection via Integrated Contextual Vision Transformer","created":"2024-02-12","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":"2407.05769","title":"Boosting 3D Object Detection with Semantic-Aware Multi-Branch Framework","created":"2024-07-08","cited_by_count":1,"area":null},{"id":"2408.14600","title":"PVAFN: Point-Voxel Attention Fusion Network with Multi-Pooling Enhancing for 3D Object Detection","created":"2024-08-26","cited_by_count":1,"area":null},{"id":"2411.01889","title":"LiDAttack: Robust Black-box Attack on LiDAR-based Object Detection","created":"2024-11-04","cited_by_count":1,"area":null},{"id":"2505.01615","title":"Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation","created":"2025-05-02","cited_by_count":1,"area":null},{"id":"2212.06244","title":"PathFusion: Path-consistent Lidar-Camera Deep Feature Fusion","created":"2022-12-12","cited_by_count":0,"area":null},{"id":"2307.11482","title":"R2Det: Redemption from Range-view for Accurate 3D Object Detection","created":"2023-07-21","cited_by_count":0,"area":null},{"id":"2309.08932","title":"Semantics-aware LiDAR-Only Pseudo Point Cloud Generation for 3D Object Detection","created":"2023-09-16","cited_by_count":0,"area":null},{"id":"2409.04601","title":"Multi-scale Feature Fusion with Point Pyramid for 3D Object Detection","created":"2024-09-06","cited_by_count":0,"area":null},{"id":"2504.00382","title":"Intrinsic-feature-guided 3D Object Detection","created":"2025-04-01","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},{"id":"2509.23880","title":"Learning Adaptive Pseudo-Label Selection for Semi-Supervised 3D Object Detection","created":"2025-09-28","cited_by_count":0,"area":null},{"id":"2602.06406","title":"Point Virtual Transformer","created":"2026-02-04","cited_by_count":0,"area":null},{"id":"2605.12220","title":"TriBand-BEV: Real-Time LiDAR-Only 3D Pedestrian Detection via Height-Aware BEV and High-Resolution Feature Fusion","created":"2026-05-12","cited_by_count":0,"area":null}],"next_cursor":null}