{"total":151,"rows":[{"id":"2205.13542","title":"BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation","created":"2022-05-26","cited_by_count":850,"area":null},{"id":"2205.13790","title":"BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework","created":"2022-05-27","cited_by_count":336,"area":null},{"id":"2206.00630","title":"Unifying Voxel-based Representation with Transformer for 3D Object Detection","created":"2022-06-01","cited_by_count":202,"area":null},{"id":"2203.10642","title":"FUTR3D: A Unified Sensor Fusion Framework for 3D Detection","created":"2022-03-20","cited_by_count":194,"area":null},{"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":"2206.07959","title":"Simple-BEV: What Really Matters for Multi-Sensor BEV Perception?","created":"2022-06-16","cited_by_count":128,"area":null},{"id":"2208.02797","title":"Vision-Centric BEV Perception: A Survey","created":"2022-08-04","cited_by_count":126,"area":null},{"id":"2208.11112","title":"DeepInteraction: 3D Object Detection via Modality Interaction","created":"2022-08-23","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":"2301.06262","title":"Collaborative Perception in Autonomous Driving: Methods, Datasets and Challenges","created":"2023-01-16","cited_by_count":87,"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":"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":"2301.08739","title":"FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer","created":"2023-01-20","cited_by_count":73,"area":null},{"id":"2310.08370","title":"UniPAD: A Universal Pre-training Paradigm for Autonomous Driving","created":"2023-10-12","cited_by_count":73,"area":null},{"id":"2201.06493","title":"AutoAlign: Pixel-Instance Feature Aggregation for Multi-Modal 3D Object Detection","created":"2022-01-17","cited_by_count":70,"area":null},{"id":"2303.08600","title":"MSeg3D: Multi-modal 3D Semantic Segmentation for Autonomous Driving","created":"2023-03-15","cited_by_count":68,"area":null},{"id":"2209.03102","title":"MSMDFusion: Fusing LiDAR and Camera at Multiple Scales with Multi-Depth Seeds for 3D Object Detection","created":"2022-09-07","cited_by_count":62,"area":null},{"id":"2303.10437","title":"Grounding 3D Object Affordance from 2D Interactions in Images","created":"2023-03-18","cited_by_count":62,"area":null},{"id":"2308.04556","title":"FocalFormer3D : Focusing on Hard Instance for 3D Object Detection","created":"2023-08-08","cited_by_count":58,"area":null},{"id":"2403.15241","title":"IS-Fusion: Instance-Scene Collaborative Fusion for Multimodal 3D Object Detection","created":"2024-03-22","cited_by_count":57,"area":null},{"id":"2310.08586","title":"PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigm","created":"2023-10-12","cited_by_count":56,"area":null},{"id":"2211.11962","title":"Transformation-Equivariant 3D Object Detection for Autonomous Driving","created":"2022-11-22","cited_by_count":52,"area":null},{"id":"2205.14951","title":"Benchmarking the Robustness of LiDAR-Camera Fusion for 3D Object Detection","created":"2022-05-30","cited_by_count":50,"area":null},{"id":"2205.15938","title":"Voxel Field Fusion for 3D Object Detection","created":"2022-05-31","cited_by_count":50,"area":null},{"id":"2303.14408","title":"VL-SAT: Visual-Linguistic Semantics Assisted Training for 3D Semantic Scene Graph Prediction in Point Cloud","created":"2023-03-25","cited_by_count":43,"area":null},{"id":"2211.08691","title":"Towards Long-Tailed 3D Detection","created":"2022-11-16","cited_by_count":40,"area":null},{"id":"2210.06778","title":"X-Align: Cross-Modal Cross-View Alignment for Bird's-Eye-View Segmentation","created":"2022-10-13","cited_by_count":38,"area":null},{"id":"2303.17297","title":"Understanding the Robustness of 3D Object Detection with Bird's-Eye-View Representations in Autonomous Driving","created":"2023-03-30","cited_by_count":37,"area":null},{"id":"2310.08261","title":"GraphAlign: Enhancing Accurate Feature Alignment by Graph matching for Multi-Modal 3D Object Detection","created":"2023-10-12","cited_by_count":34,"area":null},{"id":"2403.11848","title":"GraphBEV: Towards Robust BEV Feature Alignment for Multi-Modal 3D Object Detection","created":"2024-03-18","cited_by_count":33,"area":null},{"id":"2303.17099","title":"BEVFusion4D: Learning LiDAR-Camera Fusion Under Bird's-Eye-View via Cross-Modality Guidance and Temporal Aggregation","created":"2023-03-30","cited_by_count":31,"area":null},{"id":"2307.11477","title":"SA-BEV: Generating Semantic-Aware Bird's-Eye-View Feature for Multi-view 3D Object Detection","created":"2023-07-21","cited_by_count":30,"area":null},{"id":"2304.12310","title":"Fully Sparse Fusion for 3D Object Detection","created":"2023-04-24","cited_by_count":29,"area":null},{"id":"2512.03422","title":"What Is The Best 3D Scene Representation for Robotics? From Geometric to Foundation Models","created":"2025-12-03","cited_by_count":29,"area":null},{"id":"2406.12214","title":"Is Your HD Map Constructor Reliable under Sensor Corruptions?","created":"2024-06-18","cited_by_count":28,"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":"2412.14592","title":"Multi-Sensor Object Anomaly Detection: Unifying Appearance, Geometry, and Internal Properties","created":"2024-12-19","cited_by_count":26,"area":null},{"id":"2403.07284","title":"SparseLIF: High-Performance Sparse LiDAR-Camera Fusion for 3D Object Detection","created":"2024-03-12","cited_by_count":25,"area":null},{"id":"2308.12113","title":"Advancements in Point Cloud Data Augmentation for Deep Learning: A Survey","created":"2023-08-23","cited_by_count":24,"area":null},{"id":"2408.05945","title":"MV2DFusion: Leveraging Modality-Specific Object Semantics for Multi-Modal 3D Detection","created":"2024-08-12","cited_by_count":23,"area":null},{"id":"2312.08876","title":"OpenSight: A Simple Open-Vocabulary Framework for LiDAR-Based Object Detection","created":"2023-12-12","cited_by_count":22,"area":null},{"id":"2308.12963","title":"MapPrior: Bird's-Eye View Map Layout Estimation with Generative Models","created":"2023-08-24","cited_by_count":21,"area":null},{"id":"2203.09510","title":"DetMatch: Two Teachers are Better Than One for Joint 2D and 3D Semi-Supervised Object Detection","created":"2022-03-17","cited_by_count":20,"area":null},{"id":"2410.22489","title":"Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation","created":"2024-10-29","cited_by_count":20,"area":null},{"id":"2304.11379","title":"LiDAR2Map: In Defense of LiDAR-Based Semantic Map Construction Using Online Camera Distillation","created":"2023-04-22","cited_by_count":18,"area":null},{"id":"2411.00340","title":"GAFusion: Adaptive Fusing LiDAR and Camera with Multiple Guidance for 3D Object Detection","created":"2024-11-01","cited_by_count":15,"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":"2304.09801","title":"MetaBEV: Solving Sensor Failures for BEV Detection and Map Segmentation","created":"2023-04-19","cited_by_count":14,"area":null},{"id":"2309.07084","title":"SupFusion: Supervised LiDAR-Camera Fusion for 3D Object Detection","created":"2023-09-13","cited_by_count":14,"area":null},{"id":"2401.02702","title":"VoxelNextFusion: A Simple, Unified and Effective Voxel Fusion Framework for Multi-Modal 3D Object Detection","created":"2024-01-05","cited_by_count":14,"area":null},{"id":"2411.15016","title":"MSSF: A 4D Radar and Camera Fusion Framework With Multi-Stage Sampling for 3D Object Detection in Autonomous Driving","created":"2024-11-22","cited_by_count":14,"area":null},{"id":"2412.11489","title":"HGSFusion: Radar-Camera Fusion with Hybrid Generation and Synchronization for 3D Object Detection","created":"2024-12-16","cited_by_count":14,"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":"2307.16617","title":"FULLER: Unified Multi-modality Multi-task 3D Perception via Multi-level Gradient Calibration","created":"2023-07-31","cited_by_count":13,"area":null},{"id":"2310.13766","title":"U-BEV: Height-aware Bird's-Eye-View Segmentation and Neural Map-based Relocalization","created":"2023-10-20","cited_by_count":13,"area":null},{"id":"2403.05329","title":"OccFusion: Depth Estimation Free Multi-sensor Fusion for 3D Occupancy Prediction","created":"2024-03-08","cited_by_count":13,"area":null},{"id":"2405.16873","title":"ContrastAlign: Toward Robust BEV Feature Alignment via Contrastive Learning for Multi-Modal 3D Object Detection","created":"2024-05-27","cited_by_count":13,"area":null},{"id":"2307.12637","title":"PG-RCNN: Semantic Surface Point Generation for 3D Object Detection","created":"2023-07-24","cited_by_count":12,"area":null},{"id":"2308.10421","title":"UniM$^2$AE: Multi-modal Masked Autoencoders with Unified 3D Representation for 3D Perception in Autonomous Driving","created":"2023-08-21","cited_by_count":12,"area":null},{"id":"2310.15676","title":"Recent Advances in Multi-modal 3D Intelligence: A Comprehensive Survey and Evaluation","created":"2023-10-24","cited_by_count":12,"area":null},{"id":"2311.01520","title":"4D-Former: Multimodal 4D Panoptic Segmentation","created":"2023-11-02","cited_by_count":12,"area":null},{"id":"2508.16408","title":"SAMFusion: Sensor-Adaptive Multimodal Fusion for 3D Object Detection in Adverse Weather","created":"2025-08-22","cited_by_count":12,"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":"2304.14614","title":"Fusion is Not Enough: Single Modal Attacks on Fusion Models for 3D Object Detection","created":"2023-04-28","cited_by_count":11,"area":null},{"id":"2312.10986","title":"Long-Tailed 3D Detection via Multi-Modal Fusion","created":"2023-12-18","cited_by_count":10,"area":null},{"id":"2403.07372","title":"Eliminating Cross-modal Conflicts in BEV Space for LiDAR-Camera 3D Object Detection","created":"2024-03-12","cited_by_count":10,"area":null},{"id":"2408.09122","title":"MaskBEV: Towards A Unified Framework for BEV Detection and Map Segmentation","created":"2024-08-17","cited_by_count":10,"area":null},{"id":"2412.02734","title":"MVCTrack: Boosting 3D Point Cloud Tracking via Multimodal-Guided Virtual Cues","created":"2024-12-03","cited_by_count":10,"area":null},{"id":"2503.18100","title":"M3Net: Multimodal Multi-task Learning for 3D Detection, Segmentation, and Occupancy Prediction in Autonomous Driving","created":"2025-03-23","cited_by_count":10,"area":null},{"id":"2304.04179","title":"Sparse Dense Fusion for 3D Object Detection","created":"2023-04-09","cited_by_count":9,"area":null},{"id":"2406.10115","title":"Shelf-Supervised Cross-Modal Pre-Training for 3D Object Detection","created":"2024-06-14","cited_by_count":9,"area":null},{"id":"2406.16072","title":"DV-3DLane: End-to-end Multi-modal 3D Lane Detection with Dual-view Representation","created":"2024-06-23","cited_by_count":9,"area":null},{"id":"2408.06832","title":"FlatFusion: Delving into Details of Sparse Transformer-based Camera-LiDAR Fusion for Autonomous Driving","created":"2024-08-13","cited_by_count":9,"area":null},{"id":"2312.14919","title":"Lift-Attend-Splat: Bird's-eye-view camera-lidar fusion using transformers","created":"2023-12-22","cited_by_count":8,"area":null},{"id":"2508.13995","title":"Self-Supervised Sparse Sensor Fusion for Long Range Perception","created":"2025-08-19","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":"2211.13858","title":"Far3Det: Towards Far-Field 3D Detection","created":"2022-11-25","cited_by_count":7,"area":null},{"id":"2310.07591","title":"PeP: a Point enhanced Painting method for unified point cloud tasks","created":"2023-10-11","cited_by_count":7,"area":null},{"id":"2209.09464","title":"Rethinking Dimensionality Reduction in Grid-based 3D Object Detection","created":"2022-09-20","cited_by_count":6,"area":null},{"id":"2211.08055","title":"PAI3D: Painting Adaptive Instance-Prior for 3D Object Detection","created":"2022-11-15","cited_by_count":6,"area":null},{"id":"2310.04800","title":"Towards Long-Range 3D Object Detection for Autonomous Vehicles","created":"2023-10-07","cited_by_count":5,"area":null},{"id":"2311.04058","title":"mmFUSION: Multimodal Fusion for 3D Objects Detection","created":"2023-11-07","cited_by_count":5,"area":null},{"id":"2407.19156","title":"Robust Multimodal 3D Object Detection via Modality-Agnostic Decoding and Proximity-based Modality Ensemble","created":"2024-07-27","cited_by_count":5,"area":null},{"id":"2506.19769","title":"A Survey of Multi-sensor Fusion Perception for Embodied AI: Background, Methods, Challenges and Prospects","created":"2025-06-24","cited_by_count":5,"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":"2309.11119","title":"BroadBEV: Collaborative LiDAR-camera Fusion for Broad-sighted Bird's Eye View Map Construction","created":"2023-09-20","cited_by_count":4,"area":null},{"id":"2402.02738","title":"Improving Robustness of LiDAR-Camera Fusion Model against Weather Corruption from Fusion Strategy Perspective","created":"2024-02-05","cited_by_count":4,"area":null},{"id":"2403.09212","title":"PoIFusion: Multi-Modal 3D Object Detection via Fusion at Points of Interest","created":"2024-03-14","cited_by_count":4,"area":null},{"id":"2408.15388","title":"Panoptic Perception for Autonomous Driving: A Survey","created":"2024-08-27","cited_by_count":4,"area":null},{"id":"2410.22306","title":"Multi-Object 3D Grounding with Dynamic Modules and Language-Informed Spatial Attention","created":"2024-10-29","cited_by_count":4,"area":null},{"id":"2504.03563","title":"PF3Det: A Prompted Foundation Feature Assisted Visual LiDAR 3D Detector","created":"2025-04-04","cited_by_count":4,"area":null},{"id":"2512.02972","title":"BEVDilation: LiDAR-Centric Multi-Modal Fusion for 3D Object Detection","created":"2025-12-02","cited_by_count":4,"area":null},{"id":"2512.24385","title":"Forging Spatial Intelligence: A Roadmap of Multi-Modal Data Pre-Training for Autonomous Systems","created":"2025-12-30","cited_by_count":4,"area":null},{"id":"2602.20653","title":"SD4R: Sparse-to-Dense Learning for 3D Object Detection with 4D Radar","created":"2026-02-24","cited_by_count":4,"area":null},{"id":"2209.12880","title":"Center Feature Fusion: Selective Multi-Sensor Fusion of Center-based Objects","created":"2022-09-26","cited_by_count":3,"area":null},{"id":"2210.15316","title":"MSF3DDETR: Multi-Sensor Fusion 3D Detection Transformer for Autonomous Driving","created":"2022-10-27","cited_by_count":3,"area":null},{"id":"2210.17252","title":"Multi-Camera Calibration Free BEV Representation for 3D Object Detection","created":"2022-10-31","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":"2310.05346","title":"Anyview: Generalizable Indoor 3D Object Detection with Variable Frames","created":"2023-10-09","cited_by_count":3,"area":null}],"next_cursor":"100"}