{"total":370,"rows":[{"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":"2303.11301","title":"VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking","created":"2023-03-20","cited_by_count":222,"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":"2112.06375","title":"Embracing Single Stride 3D Object Detector with Sparse Transformer","created":"2021-12-13","cited_by_count":193,"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":"2103.10039","title":"RangeDet:In Defense of Range View for LiDAR-based 3D Object Detection","created":"2021-03-18","cited_by_count":140,"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":"2303.17597","title":"Robo3D: Towards Robust and Reliable 3D Perception against Corruptions","created":"2023-03-30","cited_by_count":129,"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":"2108.10723","title":"Improving 3D Object Detection with Channel-wise Transformer","created":"2021-08-23","cited_by_count":108,"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":"2203.10314","title":"Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection from Point Clouds","created":"2022-03-19","cited_by_count":102,"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":"2108.06709","title":"SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation","created":"2021-08-15","cited_by_count":94,"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":"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":"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":"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":"2202.02703","title":"Multi-modal Sensor Fusion for Auto Driving Perception: A Survey","created":"2022-02-06","cited_by_count":76,"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":"2203.15118","title":"LiDAR Snowfall Simulation for Robust 3D Object Detection","created":"2022-03-28","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":"2203.05662","title":"Point Density-Aware Voxels for LiDAR 3D Object Detection","created":"2022-03-10","cited_by_count":70,"area":null},{"id":"2106.12735","title":"Multi-Modal 3D Object Detection in Autonomous Driving: a Survey","created":"2021-06-24","cited_by_count":63,"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":"2210.04264","title":"CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds","created":"2022-10-09","cited_by_count":58,"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":"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":"2203.14956","title":"LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection","created":"2022-03-28","cited_by_count":55,"area":null},{"id":"2201.01976","title":"SASA: Semantics-Augmented Set Abstraction for Point-based 3D Object Detection","created":"2022-01-06","cited_by_count":52,"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":"2205.15938","title":"Voxel Field Fusion for 3D Object Detection","created":"2022-05-31","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":"2111.14382","title":"VPFNet: Improving 3D Object Detection with Virtual Point based LiDAR and Stereo Data Fusion","created":"2021-11-29","cited_by_count":48,"area":null},{"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":"2207.12655","title":"Semi-supervised 3D Object Detection with Proficient Teachers","created":"2022-07-26","cited_by_count":45,"area":null},{"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":"2204.02251","title":"RBGNet: Ray-based Grouping for 3D Object Detection","created":"2022-04-05","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":"2306.02245","title":"SAM3D: Zero-Shot 3D Object Detection via Segment Anything Model","created":"2023-06-04","cited_by_count":40,"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":"2303.06880","title":"Uni3D: A Unified Baseline for Multi-dataset 3D Object Detection","created":"2023-03-13","cited_by_count":39,"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":"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":"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":"2408.03677","title":"L4DR: LiDAR-4DRadar Fusion for Weather-Robust 3D Object Detection","created":"2024-08-07","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":"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":"2310.07602","title":"Dual Radar: A Multi-modal Dataset with Dual 4D Radar for Autonomous Driving","created":"2023-10-11","cited_by_count":32,"area":null},{"id":"2304.09446","title":"Density-Insensitive Unsupervised Domain Adaption on 3D Object Detection","created":"2023-04-19","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":"2208.00116","title":"Adaptive Feature Fusion for Cooperative Perception using LiDAR Point Clouds","created":"2022-07-30","cited_by_count":29,"area":null},{"id":"2405.02595","title":"Vision-based 3D occupancy prediction in autonomous driving: a review and outlook","created":"2024-05-04","cited_by_count":29,"area":null},{"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":"2307.07944","title":"Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling","created":"2023-07-16","cited_by_count":28,"area":null},{"id":"2503.03430","title":"CoSDH: Communication-Efficient Collaborative Perception via Supply-Demand Awareness and Intermediate-Late Hybridization","created":"2025-03-05","cited_by_count":28,"area":null},{"id":"2310.05699","title":"Uni3DETR: Unified 3D Detection Transformer","created":"2023-10-09","cited_by_count":27,"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":"2210.04458","title":"OGC: Unsupervised 3D Object Segmentation from Rigid Dynamics of Point Clouds","created":"2022-10-10","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":"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":"2207.02466","title":"GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation","created":"2022-07-06","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":"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":"2310.11239","title":"LiDAR-based 4D Occupancy Completion and Forecasting","created":"2023-10-17","cited_by_count":23,"area":null},{"id":"2408.05020","title":"RadarPillars: Efficient Object Detection from 4D Radar Point Clouds","created":"2024-08-09","cited_by_count":23,"area":null},{"id":"2105.00373","title":"Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous Driving","created":"2021-05-02","cited_by_count":22,"area":null},{"id":"2212.10230","title":"A Comprehensive Study of the Robustness for LiDAR-based 3D Object Detectors against Adversarial Attacks","created":"2022-12-20","cited_by_count":22,"area":null},{"id":"2303.05886","title":"Bi3D: Bi-domain Active Learning for Cross-domain 3D Object Detection","created":"2023-03-10","cited_by_count":22,"area":null},{"id":"2306.04670","title":"Object Detection with Transformers: A Review","created":"2023-06-07","cited_by_count":22,"area":null},{"id":"2312.04861","title":"Exploring Radar Data Representations in Autonomous Driving: A Comprehensive Review","created":"2023-12-08","cited_by_count":22,"area":null},{"id":"2208.10590","title":"A Survey and Framework of Cooperative Perception: From Heterogeneous Singleton to Hierarchical Cooperation","created":"2022-08-22","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":"2306.00612","title":"AD-PT: Autonomous Driving Pre-Training with Large-scale Point Cloud Dataset","created":"2023-06-01","cited_by_count":21,"area":null},{"id":"2305.15765","title":"Language-Guided 3D Object Detection in Point Cloud for Autonomous Driving","created":"2023-05-25","cited_by_count":20,"area":null},{"id":"2305.19812","title":"A Survey of Label-Efficient Deep Learning for 3D Point Clouds","created":"2023-05-31","cited_by_count":20,"area":null},{"id":"2401.03907","title":"RoboFusion: Towards Robust Multi-Modal 3D Object Detection via SAM","created":"2024-01-08","cited_by_count":20,"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":"2207.09332","title":"Rethinking IoU-based Optimization for Single-stage 3D Object Detection","created":"2022-07-19","cited_by_count":19,"area":null},{"id":"2308.03177","title":"Boosting Few-shot 3D Point Cloud Segmentation via Query-Guided Enhancement","created":"2023-08-06","cited_by_count":19,"area":null},{"id":"2404.03015","title":"DPFT: Dual Perspective Fusion Transformer for Camera-Radar-based Object Detection","created":"2024-04-03","cited_by_count":19,"area":null},{"id":"2407.10749","title":"SEED: A Simple and Effective 3D DETR in Point Clouds","created":"2024-07-15","cited_by_count":19,"area":null},{"id":"2208.05216","title":"Exploring Point-BEV Fusion for 3D Point Cloud Object Tracking with Transformer","created":"2022-08-10","cited_by_count":18,"area":null},{"id":"2303.05079","title":"DDS3D: Dense Pseudo-Labels with Dynamic Threshold for Semi-Supervised 3D Object Detection","created":"2023-03-09","cited_by_count":18,"area":null},{"id":"2104.10330","title":"BADet: Boundary-Aware 3D Object Detection from Point Clouds","created":"2021-04-21","cited_by_count":17,"area":null},{"id":"2203.00871","title":"Dense Voxel Fusion for 3D Object Detection","created":"2022-03-02","cited_by_count":17,"area":null}],"next_cursor":"100"}