{"total":222,"rows":[{"id":"2212.10156","title":"Planning-oriented Autonomous Driving","created":"2022-12-20","cited_by_count":1087,"area":null},{"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":"2112.11790","title":"BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View","created":"2021-12-22","cited_by_count":713,"area":null},{"id":"2110.06922","title":"DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries","created":"2021-10-13","cited_by_count":658,"area":null},{"id":"2206.10092","title":"BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection","created":"2022-06-21","cited_by_count":572,"area":null},{"id":"2203.05625","title":"PETR: Position Embedding Transformation for Multi-View 3D Object Detection","created":"2022-03-10","cited_by_count":552,"area":null},{"id":"2403.18913","title":"UniDepth: Universal Monocular Metric Depth Estimation","created":"2024-03-27","cited_by_count":382,"area":null},{"id":"2206.01256","title":"PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images","created":"2022-06-02","cited_by_count":352,"area":null},{"id":"2203.17054","title":"BEVDet4D: Exploit Temporal Cues in Multi-camera 3D Object Detection","created":"2022-03-31","cited_by_count":341,"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":"2303.09551","title":"SurroundOcc: Multi-Camera 3D Occupancy Prediction for Autonomous Driving","created":"2023-03-16","cited_by_count":316,"area":null},{"id":"2303.11926","title":"Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection","created":"2023-03-21","cited_by_count":315,"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":"2205.04334","title":"Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation","created":"2022-05-09","cited_by_count":243,"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":"2308.05736","title":"MapTRv2: An End-to-End Framework for Online Vectorized HD Map Construction","created":"2023-08-10","cited_by_count":193,"area":null},{"id":"2205.09743","title":"BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving","created":"2022-05-19","cited_by_count":191,"area":null},{"id":"2502.20110","title":"UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler","created":"2025-02-27","cited_by_count":173,"area":null},{"id":"2211.10581","title":"Sparse4D: Multi-view 3D Object Detection with Sparse Spatial-Temporal Fusion","created":"2022-11-19","cited_by_count":162,"area":null},{"id":"2207.10660","title":"Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild","created":"2022-07-21","cited_by_count":160,"area":null},{"id":"2204.05088","title":"M$^2$BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation","created":"2022-04-11","cited_by_count":156,"area":null},{"id":"2308.09244","title":"SparseBEV: High-Performance Sparse 3D Object Detection from Multi-Camera Videos","created":"2023-08-18","cited_by_count":150,"area":null},{"id":"2206.15398","title":"PolarFormer: Multi-camera 3D Object Detection with Polar Transformer","created":"2022-06-30","cited_by_count":147,"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":"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":"2308.02236","title":"FB-BEV: BEV Representation from Forward-Backward View Transformations","created":"2023-08-04","cited_by_count":98,"area":null},{"id":"2305.14018","title":"Sparse4D v2: Recurrent Temporal Fusion with Sparse Model","created":"2023-05-23","cited_by_count":93,"area":null},{"id":"2205.00613","title":"MUTR3D: A Multi-camera Tracking Framework via 3D-to-2D Queries","created":"2022-05-02","cited_by_count":91,"area":null},{"id":"2203.13310","title":"MonoDETR: Depth-guided Transformer for Monocular 3D Object Detection","created":"2022-03-24","cited_by_count":86,"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":"2303.12787","title":"EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation","created":"2023-03-22","cited_by_count":79,"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":"2308.04758","title":"Bird's-Eye-View Scene Graph for Vision-Language Navigation","created":"2023-08-09","cited_by_count":72,"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":"2506.06664","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","created":"2025-06-07","cited_by_count":67,"area":null},{"id":"2202.02980","title":"3D Object Detection from Images for Autonomous Driving: A Survey","created":"2022-02-07","cited_by_count":66,"area":null},{"id":"2503.16591","title":"UniK3D: Universal Camera Monocular 3D Estimation","created":"2025-03-20","cited_by_count":62,"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":"2302.03802","title":"Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking","created":"2023-02-07","cited_by_count":54,"area":null},{"id":"2206.10965","title":"Polar Parametrization for Vision-based Surround-View 3D Detection","created":"2022-06-22","cited_by_count":53,"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":"2112.11088","title":"EPNet++: Cascade Bi-directional Fusion for Multi-Modal 3D Object Detection","created":"2021-12-21","cited_by_count":49,"area":null},{"id":"2304.00967","title":"Temporal Enhanced Training of Multi-view 3D Object Detector via Historical Object Prediction","created":"2023-04-03","cited_by_count":49,"area":null},{"id":"2207.10758","title":"DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection","created":"2022-07-21","cited_by_count":48,"area":null},{"id":"2205.09373","title":"Diversity Matters: Fully Exploiting Depth Clues for Reliable Monocular 3D Object Detection","created":"2022-05-19","cited_by_count":46,"area":null},{"id":"2206.04042","title":"Learning Ego 3D Representation as Ray Tracing","created":"2022-06-08","cited_by_count":43,"area":null},{"id":"2401.09112","title":"Stream Query Denoising for Vectorized HD Map Construction","created":"2024-01-17","cited_by_count":43,"area":null},{"id":"2304.06719","title":"RoboBEV: Towards Robust Bird's Eye View Perception under Corruptions","created":"2023-04-13","cited_by_count":42,"area":null},{"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":"2301.12511","title":"Fast-BEV: A Fast and Strong Bird's-Eye View Perception Baseline","created":"2023-01-29","cited_by_count":40,"area":null},{"id":"2303.10209","title":"CAPE: Camera View Position Embedding for Multi-View 3D Object Detection","created":"2023-03-17","cited_by_count":40,"area":null},{"id":"2207.08531","title":"DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection","created":"2022-07-18","cited_by_count":39,"area":null},{"id":"2301.02364","title":"Object as Query: Lifting any 2D Object Detector to 3D Detection","created":"2023-01-06","cited_by_count":38,"area":null},{"id":"2212.13979","title":"TiG-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning","created":"2022-12-28","cited_by_count":37,"area":null},{"id":"2305.15694","title":"Learning Occupancy for Monocular 3D Object Detection","created":"2023-05-25","cited_by_count":36,"area":null},{"id":"2402.03634","title":"Ray Denoising: Depth-aware Hard Negative Sampling for Multi-view 3D Object Detection","created":"2024-02-06","cited_by_count":36,"area":null},{"id":"2204.11582","title":"Graph-DETR3D: Rethinking Overlapping Regions for Multi-View 3D Object Detection","created":"2022-04-25","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":"2403.07746","title":"Unleashing HyDRa: Hybrid Fusion, Depth Consistency and Radar for Unified 3D Perception","created":"2024-03-12","cited_by_count":35,"area":null},{"id":"2308.09421","title":"MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection","created":"2023-08-18","cited_by_count":33,"area":null},{"id":"2111.12242","title":"PU-Transformer: Point Cloud Upsampling Transformer","created":"2021-11-24","cited_by_count":32,"area":null},{"id":"2212.01247","title":"CC-3DT: Panoramic 3D Object Tracking via Cross-Camera Fusion","created":"2022-12-02","cited_by_count":31,"area":null},{"id":"2203.02112","title":"Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving","created":"2022-03-04","cited_by_count":30,"area":null},{"id":"2210.09267","title":"CramNet: Camera-Radar Fusion with Ray-Constrained Cross-Attention for Robust 3D Object Detection","created":"2022-10-17","cited_by_count":30,"area":null},{"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":"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":"2207.10047","title":"Densely Constrained Depth Estimator for Monocular 3D Object Detection","created":"2022-07-20","cited_by_count":27,"area":null},{"id":"2303.01686","title":"Towards Domain Generalization for Multi-view 3D Object Detection in Bird-Eye-View","created":"2023-03-03","cited_by_count":27,"area":null},{"id":"2207.08536","title":"UniFusion: Unified Multi-view Fusion Transformer for Spatial-Temporal Representation in Bird's-Eye-View","created":"2022-07-18","cited_by_count":25,"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":"2204.00754","title":"Homography Loss for Monocular 3D Object Detection","created":"2022-04-02","cited_by_count":24,"area":null},{"id":"2211.01142","title":"OPA-3D: Occlusion-Aware Pixel-Wise Aggregation for Monocular 3D Object Detection","created":"2022-11-02","cited_by_count":24,"area":null},{"id":"2207.04448","title":"Mix-Teaching: A Simple, Unified and Effective Semi-Supervised Learning Framework for Monocular 3D Object Detection","created":"2022-07-10","cited_by_count":23,"area":null},{"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":"2204.11590","title":"Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-Training","created":"2022-04-25","cited_by_count":22,"area":null},{"id":"2312.08022","title":"Mono3DVG: 3D Visual Grounding in Monocular Images","created":"2023-12-13","cited_by_count":22,"area":null},{"id":"2212.07849","title":"DETR4D: Direct Multi-View 3D Object Detection with Sparse Attention","created":"2022-12-15","cited_by_count":21,"area":null},{"id":"2301.04467","title":"FrustumFormer: Adaptive Instance-aware Resampling for Multi-view 3D Detection","created":"2023-01-10","cited_by_count":21,"area":null},{"id":"2303.15334","title":"ByteTrackV2: 2D and 3D Multi-Object Tracking by Associating Every Detection Box","created":"2023-03-27","cited_by_count":20,"area":null},{"id":"2212.05505","title":"Focal-PETR: Embracing Foreground for Efficient Multi-Camera 3D Object Detection","created":"2022-12-11","cited_by_count":19,"area":null},{"id":"2307.13510","title":"HeightFormer: Explicit Height Modeling without Extra Data for Camera-only 3D Object Detection in Bird's Eye View","created":"2023-07-25","cited_by_count":19,"area":null},{"id":"2312.14474","title":"MonoLSS: Learnable Sample Selection For Monocular 3D Detection","created":"2023-12-22","cited_by_count":19,"area":null},{"id":"2412.12725","title":"RaCFormer: Towards High-Quality 3D Object Detection via Query-based Radar-Camera Fusion","created":"2024-12-17","cited_by_count":19,"area":null},{"id":"2301.07870","title":"Fast-BEV: Towards Real-time On-vehicle Bird's-Eye View Perception","created":"2023-01-19","cited_by_count":18,"area":null},{"id":"2303.08686","title":"Weakly Supervised Monocular 3D Object Detection using Multi-View Projection and Direction Consistency","created":"2023-03-15","cited_by_count":18,"area":null},{"id":"2303.14548","title":"Viewpoint Equivariance for Multi-View 3D Object Detection","created":"2023-03-25","cited_by_count":18,"area":null},{"id":"2307.11323","title":"HVDetFusion: A Simple and Robust Camera-Radar Fusion Framework","created":"2023-07-21","cited_by_count":18,"area":null},{"id":"2208.10976","title":"Quality Matters: Embracing Quality Clues for Robust 3D Multi-Object Tracking","created":"2022-08-23","cited_by_count":17,"area":null},{"id":"2303.11325","title":"GeoMIM: Towards Better 3D Knowledge Transfer via Masked Image Modeling for Multi-view 3D Understanding","created":"2023-03-20","cited_by_count":17,"area":null},{"id":"2208.10035","title":"A Simple Baseline for Multi-Camera 3D Object Detection","created":"2022-08-22","cited_by_count":16,"area":null},{"id":"2404.02517","title":"HENet: Hybrid Encoding for End-to-end Multi-task 3D Perception from Multi-view Cameras","created":"2024-04-03","cited_by_count":16,"area":null},{"id":"2405.07696","title":"MonoMAE: Enhancing Monocular 3D Detection through Depth-Aware Masked Autoencoders","created":"2024-05-13","cited_by_count":16,"area":null},{"id":"2211.14710","title":"3DPPE: 3D Point Positional Encoding for Multi-Camera 3D Object Detection Transformers","created":"2022-11-27","cited_by_count":15,"area":null},{"id":"2305.18829","title":"UniScene: Multi-Camera Unified Pre-training via 3D Scene Reconstruction for Autonomous Driving","created":"2023-05-30","cited_by_count":15,"area":null},{"id":"2411.14716","title":"VisionPAD: A Vision-Centric Pre-training Paradigm for Autonomous Driving","created":"2024-11-22","cited_by_count":15,"area":null},{"id":"2308.09098","title":"ImGeoNet: Image-induced Geometry-aware Voxel Representation for Multi-view 3D Object Detection","created":"2023-08-17","cited_by_count":14,"area":null}],"next_cursor":"100"}