{"total":63,"rows":[{"id":"2111.06881","title":"Multimodal Virtual Point 3D Detection","created":"2021-11-12","cited_by_count":166,"area":null},{"id":"2103.05073","title":"Offboard 3D Object Detection from Point Cloud Sequences","created":"2021-03-08","cited_by_count":145,"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":"2103.14962","title":"Panoptic-PolarNet: Proposal-free LiDAR Point Cloud Panoptic Segmentation","created":"2021-03-27","cited_by_count":107,"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":"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":"2308.02236","title":"FB-BEV: BEV Representation from Forward-Backward View Transformations","created":"2023-08-04","cited_by_count":98,"area":null},{"id":"2106.12449","title":"FusionPainting: Multimodal Fusion with Adaptive Attention for 3D Object Detection","created":"2021-06-23","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":"2104.11896","title":"M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers","created":"2021-04-24","cited_by_count":74,"area":null},{"id":"2212.05867","title":"ALSO: Automotive Lidar Self-supervision by Occupancy estimation","created":"2022-12-12","cited_by_count":68,"area":null},{"id":"2303.08600","title":"MSeg3D: Multi-modal 3D Semantic Segmentation for Autonomous Driving","created":"2023-03-15","cited_by_count":68,"area":null},{"id":"2103.17202","title":"GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection","created":"2021-03-31","cited_by_count":66,"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":"2205.07002","title":"Panoptic-PHNet: Towards Real-Time and High-Precision LiDAR Panoptic Segmentation via Clustering Pseudo Heatmap","created":"2022-05-14","cited_by_count":59,"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":"2203.01730","title":"Beyond 3D Siamese Tracking: A Motion-Centric Paradigm for 3D Single Object Tracking in Point Clouds","created":"2022-03-03","cited_by_count":55,"area":null},{"id":"2203.09704","title":"VISTA: Boosting 3D Object Detection via Dual Cross-VIew SpaTial Attention","created":"2022-03-18","cited_by_count":48,"area":null},{"id":"2109.01066","title":"4D-Net for Learned Multi-Modal Alignment","created":"2021-09-02","cited_by_count":44,"area":null},{"id":"2211.08691","title":"Towards Long-Tailed 3D Detection","created":"2022-11-16","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":"2107.04327","title":"Score refinement for confidence-based 3D multi-object tracking","created":"2021-07-09","cited_by_count":32,"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":"2103.15326","title":"Fooling LiDAR Perception via Adversarial Trajectory Perturbation","created":"2021-03-29","cited_by_count":25,"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":"2107.00346","title":"MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense Top-View Understanding","created":"2021-07-01","cited_by_count":22,"area":null},{"id":"2206.14971","title":"Boosting 3D Object Detection by Simulating Multimodality on Point Clouds","created":"2022-06-30","cited_by_count":22,"area":null},{"id":"2212.07207","title":"MAELi: Masked Autoencoder for Large-Scale LiDAR Point Clouds","created":"2022-12-14","cited_by_count":20,"area":null},{"id":"2112.07787","title":"Revisiting 3D Object Detection From an Egocentric Perspective","created":"2021-12-14","cited_by_count":18,"area":null},{"id":"2207.12659","title":"Graph Neural Network and Spatiotemporal Transformer Attention for 3D Video Object Detection from Point Clouds","created":"2022-07-26","cited_by_count":17,"area":null},{"id":"2105.04169","title":"PillarSegNet: Pillar-based Semantic Grid Map Estimation using Sparse LiDAR Data","created":"2021-05-10","cited_by_count":16,"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":"2303.12535","title":"An Effective Motion-Centric Paradigm for 3D Single Object Tracking in Point Clouds","created":"2023-03-21","cited_by_count":14,"area":null},{"id":"2101.02672","title":"SA-Det3D: Self-Attention Based Context-Aware 3D Object Detection","created":"2021-01-07","cited_by_count":13,"area":null},{"id":"2301.12515","title":"LiDAR-CS Dataset: LiDAR Point Cloud Dataset with Cross-Sensors for 3D Object Detection","created":"2023-01-29","cited_by_count":13,"area":null},{"id":"2208.11658","title":"AGO-Net: Association-Guided 3D Point Cloud Object Detection Network","created":"2022-08-24","cited_by_count":12,"area":null},{"id":"2410.15674","title":"TALoS: Enhancing Semantic Scene Completion via Test-time Adaptation on the Line of Sight","created":"2024-10-21","cited_by_count":12,"area":null},{"id":"2212.05265","title":"Multi-Sem Fusion: Multimodal Semantic Fusion for 3D Object Detection","created":"2022-12-10","cited_by_count":11,"area":null},{"id":"2204.00106","title":"A Survey of Robust 3D Object Detection Methods in Point Clouds","created":"2022-03-31","cited_by_count":10,"area":null},{"id":"2207.05856","title":"SpOT: Spatiotemporal Modeling for 3D Object Tracking","created":"2022-07-12","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":"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":"2211.13858","title":"Far3Det: Towards Far-Field 3D Detection","created":"2022-11-25","cited_by_count":7,"area":null},{"id":"2103.05929","title":"MapFusion: A General Framework for 3D Object Detection with HDMaps","created":"2021-03-10","cited_by_count":6,"area":null},{"id":"2204.09337","title":"Sequential Point Clouds: A Survey","created":"2022-04-20","cited_by_count":6,"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":"2211.10850","title":"Context-Aware Data Augmentation for LIDAR 3D Object Detection","created":"2022-11-20","cited_by_count":5,"area":null},{"id":"2112.15458","title":"Accurate and Real-time 3D Pedestrian Detection Using an Efficient Attentive Pillar Network","created":"2021-12-31","cited_by_count":4,"area":null},{"id":"2207.06079","title":"Teachers in concordance for pseudo-labeling of 3D sequential data","created":"2022-07-13","cited_by_count":3,"area":null},{"id":"2302.13577","title":"DuEqNet: Dual-Equivariance Network in Outdoor 3D Object Detection for Autonomous Driving","created":"2023-02-27","cited_by_count":3,"area":null},{"id":"2602.24084","title":"FoV-Net: Rotation-Invariant CAD B-rep Learning via Field-of-View Ray Casting","created":"2026-02-27","cited_by_count":3,"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":"2305.15219","title":"DynStatF: An Efficient Feature Fusion Strategy for LiDAR 3D Object Detection","created":"2023-05-24","cited_by_count":2,"area":null},{"id":"2606.03992","title":"Exploring Easy Boosts for Lidar Semantic Scene Completion","created":"2026-06-02","cited_by_count":2,"area":null},{"id":"2110.02531","title":"3D-FCT: Simultaneous 3D Object Detection and Tracking Using Feature Correlation","created":"2021-10-06","cited_by_count":1,"area":null},{"id":"2212.13676","title":"Circular Accessible Depth: A Robust Traversability Representation for UGV Navigation","created":"2022-12-28","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":"2403.01978","title":"Leveraging Anchor-based LiDAR 3D Object Detection via Point Assisted Sample Selection","created":"2024-03-04","cited_by_count":1,"area":null},{"id":"2302.12597","title":"Active Velocity Estimation using Light Curtains via Self-Supervised Multi-Armed Bandits","created":"2023-02-24","cited_by_count":0,"area":null},{"id":"2312.03808","title":"SurfaceAug: Closing the Gap in Multimodal Ground Truth Sampling","created":"2023-12-06","cited_by_count":0,"area":null},{"id":"2403.03681","title":"3D Object Visibility Prediction in Autonomous Driving","created":"2024-03-06","cited_by_count":0,"area":null},{"id":"2609.17413","title":"SSC-Priors: Exploring Semantic and Visibility Priors to Boost Lidar Semantic Scene Completion","created":"2026-09-15","cited_by_count":0,"area":null}],"next_cursor":null}