{"total":79,"rows":[{"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":"2206.00630","title":"Unifying Voxel-based Representation with Transformer for 3D Object Detection","created":"2022-06-01","cited_by_count":202,"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":"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":"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":"2207.10035","title":"Fully Sparse 3D Object Detection","created":"2022-07-20","cited_by_count":84,"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":"2209.09385","title":"LidarMultiNet: Towards a Unified Multi-Task Network for LiDAR Perception","created":"2022-09-19","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":"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":"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":"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":"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":"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":"2301.02562","title":"Super Sparse 3D Object Detection","created":"2023-01-05","cited_by_count":32,"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":"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":"2212.00244","title":"CL3D: Unsupervised Domain Adaptation for Cross-LiDAR 3D Detection","created":"2022-12-01","cited_by_count":27,"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":"2212.07289","title":"ConQueR: Query Contrast Voxel-DETR for 3D Object Detection","created":"2022-12-14","cited_by_count":21,"area":null},{"id":"2306.15700","title":"Imitation with Spatial-Temporal Heatmap: 2nd Place Solution for NuPlan Challenge","created":"2023-06-26","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":"2212.00442","title":"MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object Detection","created":"2022-12-01","cited_by_count":15,"area":null},{"id":"2406.08785","title":"BEVSpread: Spread Voxel Pooling for Bird's-Eye-View Representation in Vision-based Roadside 3D Object Detection","created":"2024-06-13","cited_by_count":15,"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":"2308.05988","title":"MS3D++: Ensemble of Experts for Multi-Source Unsupervised Domain Adaptation in 3D Object Detection","created":"2023-08-11","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":"2405.18734","title":"Information Entropy Guided Height-aware Histogram for Quantization-friendly Pillar Feature Encoder","created":"2024-05-29","cited_by_count":14,"area":null},{"id":"2206.10118","title":"HOPE: Hierarchical Spatial-temporal Network for Occupancy Flow Prediction","created":"2022-06-21","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":"2304.09807","title":"VMA: Divide-and-Conquer Vectorized Map Annotation System for Large-Scale Driving Scene","created":"2023-04-19","cited_by_count":10,"area":null},{"id":"2311.17770","title":"PillarNeSt: Embracing Backbone Scaling and Pretraining for Pillar-based 3D Object Detection","created":"2023-11-29","cited_by_count":10,"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":"2305.12853","title":"Real-Aug: Realistic Scene Synthesis for LiDAR Augmentation in 3D Object Detection","created":"2023-05-22","cited_by_count":7,"area":null},{"id":"2406.08152","title":"CT3D++: Improving 3D Object Detection with Keypoint-induced Channel-wise Transformer","created":"2024-06-12","cited_by_count":7,"area":null},{"id":"2406.10907","title":"SparseDet: A Simple and Effective Framework for Fully Sparse LiDAR-based 3D Object Detection","created":"2024-06-16","cited_by_count":7,"area":null},{"id":"2307.01462","title":"Practical Collaborative Perception: A Framework for Asynchronous and Multi-Agent 3D Object Detection","created":"2023-07-04","cited_by_count":6,"area":null},{"id":"2202.11868","title":"CG-SSD: Corner Guided Single Stage 3D Object Detection from LiDAR Point Cloud","created":"2022-02-24","cited_by_count":5,"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":"2405.02811","title":"PVTransformer: Point-to-Voxel Transformer for Scalable 3D Object Detection","created":"2024-05-05","cited_by_count":3,"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":"2303.12743","title":"DR.CPO: Diversified and Realistic 3D Augmentation via Iterative Construction, Random Placement, and HPR Occlusion","created":"2023-03-20","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":"2307.01864","title":"MaskBEV: Joint Object Detection and Footprint Completion for Bird's-eye View 3D Point Clouds","created":"2023-07-04","cited_by_count":2,"area":null},{"id":"2310.06603","title":"V2X-AHD:Vehicle-to-Everything Cooperation Perception via Asymmetric Heterogenous Distillation Network","created":"2023-10-10","cited_by_count":2,"area":null},{"id":"2310.20319","title":"GACE: Geometry Aware Confidence Enhancement for Black-Box 3D Object Detectors on LiDAR-Data","created":"2023-10-31","cited_by_count":2,"area":null},{"id":"2401.07240","title":"DCDet: Dynamic Cross-based 3D Object Detector","created":"2024-01-14","cited_by_count":2,"area":null},{"id":"2411.13186","title":"VADet: Multi-frame LiDAR 3D Object Detection using Variable Aggregation","created":"2024-11-20","cited_by_count":2,"area":null},{"id":"2412.04337","title":"Reflective Teacher: Semi-Supervised Multimodal 3D Object Detection in Bird's-Eye-View via Uncertainty Measure","created":"2024-12-05","cited_by_count":2,"area":null},{"id":"2508.12917","title":"CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction","created":"2025-08-18","cited_by_count":2,"area":null},{"id":"2511.10035","title":"DGFusion: Dual-guided Fusion for Robust Multi-Modal 3D Object Detection","created":"2025-11-13","cited_by_count":2,"area":null},{"id":"2210.00087","title":"D-Align: Dual Query Co-attention Network for 3D Object Detection Based on Multi-frame Point Cloud Sequence","created":"2022-09-30","cited_by_count":1,"area":null},{"id":"2307.01807","title":"SUIT: Learning Significance-guided Information for 3D Temporal Detection","created":"2023-07-04","cited_by_count":1,"area":null},{"id":"2312.08871","title":"VoxelKP: A Voxel-based Network Architecture for Human Keypoint Estimation in LiDAR Data","created":"2023-12-11","cited_by_count":1,"area":null},{"id":"2402.07680","title":"AYDIV: Adaptable Yielding 3D Object Detection via Integrated Contextual Vision Transformer","created":"2024-02-12","cited_by_count":1,"area":null},{"id":"2403.06166","title":"Cross-Cluster Shifting for Efficient and Effective 3D Object Detection in Autonomous Driving","created":"2024-03-10","cited_by_count":1,"area":null},{"id":"2403.06433","title":"Fine-Grained Pillar Feature Encoding Via Spatio-Temporal Virtual Grid for 3D Object Detection","created":"2024-03-11","cited_by_count":1,"area":null},{"id":"2412.09658","title":"SEGT: A General Spatial Expansion Group Transformer for nuScenes Lidar-based Object Detection Task","created":"2024-12-12","cited_by_count":1,"area":null},{"id":"2505.01615","title":"Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation","created":"2025-05-02","cited_by_count":1,"area":null},{"id":"2603.07985","title":"On the Feasibility and Opportunity of Autoregressive 3D Object Detection","created":"2026-03-09","cited_by_count":1,"area":null},{"id":"2207.09412","title":"Det6D: A Ground-Aware Full-Pose 3D Object Detector for Improving Terrain Robustness","created":"2022-07-19","cited_by_count":0,"area":null},{"id":"2211.09518","title":"ImLiDAR: Cross-Sensor Dynamic Message Propagation Network for 3D Object Detection","created":"2022-11-17","cited_by_count":0,"area":null},{"id":"2408.11207","title":"Quantum Inverse Contextual Vision Transformers (Q-ICVT): A New Frontier in 3D Object Detection for AVs","created":"2024-08-20","cited_by_count":0,"area":null},{"id":"2409.00690","title":"Decoupled and Interactive Regression Modeling for High-performance One-stage 3D Object Detection","created":"2024-09-01","cited_by_count":0,"area":null},{"id":"2503.12093","title":"SFMNet: Sparse Focal Modulation for 3D Object Detection","created":"2025-03-15","cited_by_count":0,"area":null},{"id":"2508.16069","title":"Voxel Densification for Serialized 3D Object Detection: Mitigating Sparsity via Pre-serialization Expansion","created":"2025-08-22","cited_by_count":0,"area":null},{"id":"2509.01487","title":"PointSlice: Accurate and Efficient Slice-Based Representation for 3D Object Detection from Point Clouds","created":"2025-09-01","cited_by_count":0,"area":null},{"id":"2510.11632","title":"NV3D: Leveraging Spatial Shape Through Normal Vector-based 3D Object Detection","created":"2025-10-13","cited_by_count":0,"area":null}],"next_cursor":null}