{"total":115,"rows":[{"id":"2301.00493","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","created":"2023-01-02","cited_by_count":707,"area":null},{"id":"2203.11496","title":"TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers","created":"2022-03-22","cited_by_count":466,"area":"wm"},{"id":"2205.13790","title":"BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework","created":"2022-05-27","cited_by_count":336,"area":null},{"id":"2203.08195","title":"DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection","created":"2022-03-15","cited_by_count":224,"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":"2203.10642","title":"FUTR3D: A Unified Sensor Fusion Framework for 3D Detection","created":"2022-03-20","cited_by_count":194,"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":"2305.06242","title":"Think Twice before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving","created":"2023-05-10","cited_by_count":169,"area":"driving"},{"id":"2206.09474","title":"3D Object Detection for Autonomous Driving: A Comprehensive Survey","created":"2022-06-19","cited_by_count":132,"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":"2210.07372","title":"SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds","created":"2022-10-13","cited_by_count":92,"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":"2304.00670","title":"CRN: Camera Radar Net for Accurate, Robust, Efficient 3D Perception","created":"2023-04-03","cited_by_count":82,"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":"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":"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":"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":"2303.05970","title":"Exploring Recurrent Long-term Temporal Fusion for Multi-view 3D Perception","created":"2023-03-10","cited_by_count":65,"area":null},{"id":"2204.12511","title":"PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions","created":"2022-04-26","cited_by_count":63,"area":null},{"id":"2210.08061","title":"Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving","created":"2022-10-14","cited_by_count":59,"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":"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":"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":"2206.10965","title":"Polar Parametrization for Vision-based Surround-View 3D Detection","created":"2022-06-22","cited_by_count":53,"area":null},{"id":"2403.10094","title":"RangeLDM: Fast Realistic LiDAR Point Cloud Generation","created":"2024-03-15","cited_by_count":47,"area":"wm"},{"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":"2302.02367","title":"FastPillars: A Deployment-friendly Pillar-based 3D Detector","created":"2023-02-05","cited_by_count":39,"area":null},{"id":"2309.14491","title":"Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving","created":"2023-09-25","cited_by_count":37,"area":"driving"},{"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":"2303.17099","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":"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":"2205.15156","title":"Towards Efficient 3D Object Detection with Knowledge Distillation","created":"2022-05-30","cited_by_count":29,"area":"distill"},{"id":"2304.12315","title":"Once Detected, Never Lost: Surpassing Human Performance in Offline LiDAR based 3D Object Detection","created":"2023-04-24","cited_by_count":28,"area":null},{"id":"2206.07705","title":"LET-3D-AP: Longitudinal Error Tolerant 3D Average Precision for Camera-Only 3D Detection","created":"2022-06-15","cited_by_count":27,"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":"2111.13087","title":"BoxeR: Box-Attention for 2D and 3D Transformers","created":"2021-11-25","cited_by_count":23,"area":null},{"id":"2309.17209","title":"Robots That Can See: Leveraging Human Pose for Trajectory Prediction","created":"2023-09-29","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},{"id":"2403.07071","title":"LISO: Lidar-only Self-Supervised 3D Object Detection","created":"2024-03-11","cited_by_count":22,"area":null},{"id":"2212.07289","title":"ConQueR: Query Contrast Voxel-DETR for 3D Object Detection","created":"2022-12-14","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":"2210.08375","title":"Improving the Intra-class Long-tail in 3D Detection via Rare Example Mining","created":"2022-10-15","cited_by_count":19,"area":null},{"id":"2404.04629","title":"DifFUSER: Diffusion Model for Robust Multi-Sensor Fusion in 3D Object Detection and BEV Segmentation","created":"2024-04-06","cited_by_count":18,"area":"diffusion"},{"id":"2307.14392","title":"Human-centric Scene Understanding for 3D Large-scale Scenarios","created":"2023-07-26","cited_by_count":17,"area":null},{"id":"2209.10986","title":"Learning to Simulate Realistic LiDARs","created":"2022-09-22","cited_by_count":16,"area":null},{"id":"2203.13394","title":"Point2Seq: Detecting 3D Objects as Sequences","created":"2022-03-25","cited_by_count":15,"area":null},{"id":"2303.08316","title":"MSF: Motion-guided Sequential Fusion for Efficient 3D Object Detection from Point Cloud Sequences","created":"2023-03-15","cited_by_count":15,"area":null},{"id":"2206.08194","title":"Online Segmentation of LiDAR Sequences: Dataset and Algorithm","created":"2022-06-16","cited_by_count":14,"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":"2209.15215","title":"INT: Towards Infinite-frames 3D Detection with An Efficient Framework","created":"2022-09-30","cited_by_count":14,"area":null},{"id":"2306.05888","title":"TrajectoryFormer: 3D Object Tracking Transformer with Predictive Trajectory Hypotheses","created":"2023-06-09","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":"2304.04248","title":"Curricular Object Manipulation in LiDAR-based Object Detection","created":"2023-04-09","cited_by_count":12,"area":null},{"id":"2210.15365","title":"Li3DeTr: A LiDAR based 3D Detection Transformer","created":"2022-10-27","cited_by_count":11,"area":null},{"id":"2303.12194","title":"LiDARFormer: A Unified Transformer-based Multi-task Network for LiDAR Perception","created":"2023-03-21","cited_by_count":11,"area":null},{"id":"2401.00912","title":"ScatterFormer: Efficient Voxel Transformer with Scattered Linear Attention","created":"2024-01-01","cited_by_count":11,"area":null},{"id":"2306.09304","title":"Radars for Autonomous Driving: A Review of Deep Learning Methods and Challenges","created":"2023-06-15","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":"2407.08931","title":"Global-Local Collaborative Inference with LLM for Lidar-Based Open-Vocabulary Detection","created":"2024-07-12","cited_by_count":10,"area":null},{"id":"2203.02133","title":"A Versatile Multi-View Framework for LiDAR-based 3D Object Detection with Guidance from Panoptic Segmentation","created":"2022-03-04","cited_by_count":9,"area":null},{"id":"2308.04054","title":"An Empirical Analysis of Range for 3D Object Detection","created":"2023-08-08","cited_by_count":9,"area":null},{"id":"2506.03714","title":"FSHNet: Fully Sparse Hybrid Network for 3D Object Detection","created":"2025-06-04","cited_by_count":9,"area":null},{"id":"2210.13488","title":"LidarAugment: Searching for Scalable 3D LiDAR Data Augmentations","created":"2022-10-24","cited_by_count":8,"area":null},{"id":"2303.02133","title":"Depth-based 6DoF Object Pose Estimation using Swin Transformer","created":"2023-03-03","cited_by_count":8,"area":null},{"id":"2308.08140","title":"GPA-3D: Geometry-aware Prototype Alignment for Unsupervised Domain Adaptive 3D Object Detection from Point Clouds","created":"2023-08-16","cited_by_count":8,"area":null},{"id":"2312.08371","title":"PTT: Point-Trajectory Transformer for Efficient Temporal 3D Object Detection","created":"2023-12-13","cited_by_count":8,"area":null},{"id":"2210.13428","title":"PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds","created":"2022-10-24","cited_by_count":7,"area":null},{"id":"2407.04305","title":"Towards Stable 3D Object Detection","created":"2024-07-05","cited_by_count":7,"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":"2307.08209","title":"Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection","created":"2023-07-17","cited_by_count":6,"area":null},{"id":"2403.09230","title":"Improving Distant 3D Object Detection Using 2D Box Supervision","created":"2024-03-14","cited_by_count":6,"area":null},{"id":"2203.13090","title":"AziNorm: Exploiting the Radial Symmetry of Point Cloud for Azimuth-Normalized 3D Perception","created":"2022-03-24","cited_by_count":5,"area":null},{"id":"2311.03620","title":"FusionViT: Hierarchical 3D Object Detection via LiDAR-Camera Vision Transformer Fusion","created":"2023-11-07","cited_by_count":5,"area":null},{"id":"2210.05018","title":"LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds","created":"2022-10-10","cited_by_count":4,"area":null},{"id":"2403.00325","title":"Small, Versatile and Mighty: A Range-View Perception Framework","created":"2024-03-01","cited_by_count":4,"area":null},{"id":"2110.06049","title":"Improved Pillar with Fine-grained Feature for 3D Object Detection","created":"2021-10-12","cited_by_count":3,"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":"2303.05078","title":"Efficient Transformer-based 3D Object Detection with Dynamic Token Halting","created":"2023-03-09","cited_by_count":3,"area":null},{"id":"2304.02867","title":"Voxel or Pillar: Exploring Efficient Point Cloud Representation for 3D Object Detection","created":"2023-04-06","cited_by_count":3,"area":null},{"id":"2306.10699","title":"Frame Fusion with Vehicle Motion Prediction for 3D Object Detection","created":"2023-06-19","cited_by_count":3,"area":null},{"id":"2308.10308","title":"Representation Disparity-aware Distillation for 3D Object Detection","created":"2023-08-20","cited_by_count":3,"area":"distill"},{"id":"2310.05366","title":"Rotation Matters: Generalized Monocular 3D Object Detection for Various Camera Systems","created":"2023-10-09","cited_by_count":3,"area":null},{"id":"2401.11718","title":"MsSVT++: Mixed-scale Sparse Voxel Transformer with Center Voting for 3D Object Detection","created":"2024-01-22","cited_by_count":3,"area":null},{"id":"2405.02811","title":"PVTransformer: Point-to-Voxel Transformer for Scalable 3D Object Detection","created":"2024-05-05","cited_by_count":3,"area":null},{"id":"2111.09515","title":"Range-Aware Attention Network for LiDAR-based 3D Object Detection with Auxiliary Point Density Level Estimation","created":"2021-11-18","cited_by_count":2,"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":"2304.09694","title":"CrossFusion: Interleaving Cross-modal Complementation for Noise-resistant 3D Object Detection","created":"2023-04-19","cited_by_count":2,"area":null},{"id":"2309.16870","title":"LEF: Late-to-Early Temporal Fusion for LiDAR 3D Object Detection","created":"2023-09-28","cited_by_count":2,"area":null},{"id":"2310.10353","title":"Multimodal Object Query Initialization for 3D Object Detection","created":"2023-10-16","cited_by_count":2,"area":null},{"id":"2407.02098","title":"DM3D: Distortion-Minimized Weight Pruning for Lossless 3D Object Detection","created":"2024-07-02","cited_by_count":2,"area":null},{"id":"2411.06173","title":"LSSInst: Improving Geometric Modeling in LSS-Based BEV Perception with Instance Representation","created":"2024-11-09","cited_by_count":2,"area":null},{"id":"2112.04421","title":"SoK: Vehicle Orientation Representations for Deep Rotation Estimation","created":"2021-12-08","cited_by_count":1,"area":null},{"id":"2205.05703","title":"Multi-Class 3D Object Detection with Single-Class Supervision","created":"2022-05-11","cited_by_count":1,"area":null}],"next_cursor":"100"}