{"total":466,"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":"2205.15997","title":"TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving","created":"2022-05-31","cited_by_count":485,"area":"driving"},{"id":"2206.06488","title":"Multimodal Learning with Transformers: A Survey","created":"2022-06-13","cited_by_count":400,"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":"2211.10439","title":"BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision","created":"2022-11-18","cited_by_count":302,"area":null},{"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":"2411.14499","title":"Understanding World or Predicting Future? A Comprehensive Survey of World Models","created":"2024-11-21","cited_by_count":166,"area":"wm"},{"id":"2207.13080","title":"DETRs with Hybrid Matching","created":"2022-07-26","cited_by_count":150,"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":"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":"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":"2301.06051","title":"DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets","created":"2023-01-15","cited_by_count":122,"area":null},{"id":"2303.11040","title":"Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving","created":"2023-03-20","cited_by_count":114,"area":null},{"id":"2412.05435","title":"UniScene: Unified Occupancy-centric Driving Scene Generation","created":"2024-12-06","cited_by_count":106,"area":null},{"id":"2308.02236","title":"FB-BEV: BEV Representation from Forward-Backward View Transformations","created":"2023-08-04","cited_by_count":98,"area":null},{"id":"2401.13964","title":"An Extensible Framework for Open Heterogeneous Collaborative Perception","created":"2024-01-25","cited_by_count":87,"area":null},{"id":"2506.09042","title":"Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models","created":"2025-06-10","cited_by_count":84,"area":"driving"},{"id":"2304.14340","title":"SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection","created":"2023-04-27","cited_by_count":83,"area":null},{"id":"2304.00670","title":"CRN: Camera Radar Net for Accurate, Robust, Efficient 3D Perception","created":"2023-04-03","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":"2303.03595","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":"2301.10222","title":"RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving","created":"2023-01-24","cited_by_count":76,"area":null},{"id":"2308.07504","title":"ICAFusion: Iterative Cross-Attention Guided Feature Fusion for Multispectral Object Detection","created":"2023-08-15","cited_by_count":76,"area":null},{"id":"2209.09385","title":"LidarMultiNet: Towards a Unified Multi-Task Network for LiDAR Perception","created":"2022-09-19","cited_by_count":74,"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":"2206.10555","title":"LargeKernel3D: Scaling up Kernels in 3D Sparse CNNs","created":"2022-06-21","cited_by_count":72,"area":null},{"id":"2301.01283","title":"Cross Modal Transformer: Towards Fast and Robust 3D Object Detection","created":"2023-01-03","cited_by_count":70,"area":null},{"id":"2304.10628","title":"HM-ViT: Hetero-modal Vehicle-to-Vehicle Cooperative perception with vision transformer","created":"2023-04-20","cited_by_count":70,"area":null},{"id":"2311.11722","title":"Sparse4D v3: Advancing End-to-End 3D Detection and Tracking","created":"2023-11-20","cited_by_count":70,"area":null},{"id":"2209.06535","title":"CRAFT: Camera-Radar 3D Object Detection with Spatio-Contextual Fusion Transformer","created":"2022-09-14","cited_by_count":67,"area":null},{"id":"2308.01006","title":"FusionAD: Multi-modality Fusion for Prediction and Planning Tasks of Autonomous Driving","created":"2023-08-02","cited_by_count":67,"area":"driving"},{"id":"2403.01316","title":"TUMTraf V2X Cooperative Perception Dataset","created":"2024-03-02","cited_by_count":67,"area":null},{"id":"2401.01454","title":"A Survey on Autonomous Driving Datasets: Statistics, Annotation Quality, and a Future Outlook","created":"2024-01-02","cited_by_count":66,"area":null},{"id":"2406.10700","title":"Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection","created":"2024-06-15","cited_by_count":66,"area":"ssm"},{"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":"2308.04556","title":"FocalFormer3D : Focusing on Hard Instance for 3D Object Detection","created":"2023-08-08","cited_by_count":58,"area":null},{"id":"2309.05573","title":"UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and the OpenPCSeg Codebase","created":"2023-09-11","cited_by_count":57,"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":"2205.13764","title":"Fully Convolutional One-Stage 3D Object Detection on LiDAR Range Images","created":"2022-05-27","cited_by_count":56,"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":"2305.04925","title":"PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds","created":"2023-05-08","cited_by_count":54,"area":null},{"id":"2403.01439","title":"Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis","created":"2024-03-03","cited_by_count":53,"area":null},{"id":"2308.16896","title":"PointOcc: Cylindrical Tri-Perspective View for Point-based 3D Semantic Occupancy Prediction","created":"2023-08-31","cited_by_count":52,"area":null},{"id":"2403.05817","title":"SAFDNet: A Simple and Effective Network for Fully Sparse 3D Object Detection","created":"2024-03-09","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":"2209.02540","title":"CAMO-MOT: Combined Appearance-Motion Optimization for 3D Multi-Object Tracking with Camera-LiDAR Fusion","created":"2022-09-06","cited_by_count":50,"area":null},{"id":"2404.18947","title":"Multimodal Fusion on Low-quality Data: A Comprehensive Survey","created":"2024-04-27","cited_by_count":49,"area":null},{"id":"2404.04561","title":"Co-Occ: Coupling Explicit Feature Fusion with Volume Rendering Regularization for Multi-Modal 3D Semantic Occupancy Prediction","created":"2024-04-06","cited_by_count":48,"area":null},{"id":"2404.06892","title":"SparseAD: Sparse Query-Centric Paradigm for Efficient End-to-End Autonomous Driving","created":"2024-04-10","cited_by_count":47,"area":"driving"},{"id":"2207.10316","title":"AutoAlignV2: Deformable Feature Aggregation for Dynamic Multi-Modal 3D Object Detection","created":"2022-07-21","cited_by_count":46,"area":null},{"id":"2310.20234","title":"HEDNet: A Hierarchical Encoder-Decoder Network for 3D Object Detection in Point Clouds","created":"2023-10-31","cited_by_count":45,"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":"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":"2405.17426","title":"Benchmarking and Improving Bird's Eye View Perception Robustness in Autonomous Driving","created":"2024-05-27","cited_by_count":41,"area":null},{"id":"2211.08691","title":"Towards Long-Tailed 3D Detection","created":"2022-11-16","cited_by_count":40,"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":"2207.00531","title":"Masked Autoencoder for Self-Supervised Pre-training on Lidar Point Clouds","created":"2022-07-01","cited_by_count":39,"area":null},{"id":"2211.15656","title":"SuperFusion: Multilevel LiDAR-Camera Fusion for Long-Range HD Map Generation","created":"2022-11-28","cited_by_count":39,"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":"2303.17895","title":"EA-LSS: Edge-aware Lift-splat-shot Framework for 3D BEV Object Detection","created":"2023-03-31","cited_by_count":38,"area":null},{"id":"2305.08808","title":"GeoMAE: Masked Geometric Target Prediction for Self-supervised Point Cloud Pre-Training","created":"2023-05-15","cited_by_count":38,"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":"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":"2311.12862","title":"TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs","created":"2023-10-25","cited_by_count":36,"area":null},{"id":"2209.14858","title":"4D-StOP: Panoptic Segmentation of 4D LiDAR using Spatio-temporal Object Proposal Generation and Aggregation","created":"2022-09-29","cited_by_count":35,"area":null},{"id":"2307.06505","title":"WaterScenes: A Multi-Task 4D Radar-Camera Fusion Dataset and Benchmarks for Autonomous Driving on Water Surfaces","created":"2023-07-13","cited_by_count":35,"area":null},{"id":"2312.01696","title":"BEVNeXt: Reviving Dense BEV Frameworks for 3D Object Detection","created":"2023-12-04","cited_by_count":35,"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":"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":"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":"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":"2408.09675","title":"Multi-Agent Reinforcement Learning for Autonomous Driving: A Survey","created":"2024-08-19","cited_by_count":32,"area":"driving"},{"id":"2205.07417","title":"Transformers in 3D Point Clouds: A Survey","created":"2022-05-16","cited_by_count":31,"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":"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":"2206.13294","title":"LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation","created":"2022-06-27","cited_by_count":29,"area":null},{"id":"2211.10593","title":"MatrixVT: Efficient Multi-Camera to BEV Transformation for 3D Perception","created":"2022-11-19","cited_by_count":29,"area":"wm"},{"id":"2302.10511","title":"MVFusion: Multi-View 3D Object Detection with Semantic-aligned Radar and Camera Fusion","created":"2023-02-21","cited_by_count":29,"area":null},{"id":"2304.12310","title":"Fully Sparse Fusion for 3D Object Detection","created":"2023-04-24","cited_by_count":29,"area":null},{"id":"2309.14516","title":"UniBEV: Multi-modal 3D Object Detection with Uniform BEV Encoders for Robustness against Missing Sensor Modalities","created":"2023-09-25","cited_by_count":29,"area":null},{"id":"2312.04316","title":"Towards Knowledge-driven Autonomous Driving","created":"2023-12-07","cited_by_count":29,"area":"driving"},{"id":"2303.02203","title":"X$^3$KD: Knowledge Distillation Across Modalities, Tasks and Stages for Multi-Camera 3D Object Detection","created":"2023-03-03","cited_by_count":28,"area":"distill"},{"id":"2306.01438","title":"Bi-LRFusion: Bi-Directional LiDAR-Radar Fusion for 3D Dynamic Object Detection","created":"2023-06-02","cited_by_count":28,"area":null},{"id":"2308.15427","title":"Complementing Onboard Sensors with Satellite Map: A New Perspective for HD Map Construction","created":"2023-08-29","cited_by_count":28,"area":null},{"id":"2311.07152","title":"Detecting As Labeling: Rethinking LiDAR-camera Fusion in 3D Object Detection","created":"2023-11-13","cited_by_count":28,"area":null},{"id":"2403.19104","title":"CRKD: Enhanced Camera-Radar Object Detection with Cross-modality Knowledge Distillation","created":"2024-03-28","cited_by_count":28,"area":"distill"},{"id":"2406.12214","title":"Is Your HD Map Constructor Reliable under Sensor Corruptions?","created":"2024-06-18","cited_by_count":28,"area":null},{"id":"2403.11761","title":"BEVCar: Camera-Radar Fusion for BEV Map and Object Segmentation","created":"2024-03-18","cited_by_count":27,"area":null},{"id":"2303.16094","title":"LinK: Linear Kernel for LiDAR-based 3D Perception","created":"2023-03-28","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":"2303.01212","title":"Grid-Centric Traffic Scenario Perception for Autonomous Driving: A Comprehensive Review","created":"2023-03-02","cited_by_count":25,"area":"driving"},{"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":"2211.16951","title":"Weakly Supervised 3D Multi-person Pose Estimation for Large-scale Scenes based on Monocular Camera and Single LiDAR","created":"2022-11-30","cited_by_count":23,"area":null},{"id":"2402.02968","title":"Delving into Multi-modal Multi-task Foundation Models for Road Scene Understanding: From Learning Paradigm Perspectives","created":"2024-02-05","cited_by_count":23,"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}],"next_cursor":"100"}