{"total":99,"rows":[{"id":"2303.17597","title":"Robo3D: Towards Robust and Reliable 3D Perception against Corruptions","created":"2023-03-30","cited_by_count":129,"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":"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":"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":"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":"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":"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":"2403.01439","title":"Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis","created":"2024-03-03","cited_by_count":53,"area":null},{"id":"2307.13929","title":"Spatio-Temporal Domain Awareness for Multi-Agent Collaborative Perception","created":"2023-07-26","cited_by_count":52,"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":"2306.02245","title":"SAM3D: Zero-Shot 3D Object Detection via Segment Anything Model","created":"2023-06-04","cited_by_count":40,"area":null},{"id":"2407.18232","title":"LION: Linear Group RNN for 3D Object Detection in Point Clouds","created":"2024-07-25","cited_by_count":38,"area":"ssm"},{"id":"2312.01696","title":"BEVNeXt: Reviving Dense BEV Frameworks for 3D Object Detection","created":"2023-12-04","cited_by_count":35,"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":"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":"2306.15349","title":"SSC-RS: Elevate LiDAR Semantic Scene Completion with Representation Separation and BEV Fusion","created":"2023-06-27","cited_by_count":30,"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":"2310.05699","title":"Uni3DETR: Unified 3D Detection Transformer","created":"2023-10-09","cited_by_count":27,"area":null},{"id":"2403.17009","title":"Is Your LiDAR Placement Optimized for 3D Scene Understanding?","created":"2024-03-25","cited_by_count":26,"area":null},{"id":"2309.09456","title":"Object2Scene: Putting Objects in Context for Open-Vocabulary 3D Detection","created":"2023-09-18","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":"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":"2407.10749","title":"SEED: A Simple and Effective 3D DETR in Point Clouds","created":"2024-07-15","cited_by_count":19,"area":null},{"id":"2405.12821","title":"Talk2Radar: Bridging Natural Language with 4D mmWave Radar for 3D Referring Expression Comprehension","created":"2024-05-21","cited_by_count":18,"area":null},{"id":"2307.14392","title":"Human-centric Scene Understanding for 3D Large-scale Scenarios","created":"2023-07-26","cited_by_count":17,"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":"2310.16870","title":"MACP: Efficient Model Adaptation for Cooperative Perception","created":"2023-10-25","cited_by_count":14,"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":"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":"2210.05896","title":"Common Corruption Robustness of Point Cloud Detectors: Benchmark and Enhancement","created":"2022-10-12","cited_by_count":9,"area":null},{"id":"2308.03982","title":"PARTNER: Level up the Polar Representation for LiDAR 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":"2307.00347","title":"Spatial-Temporal Graph Enhanced DETR Towards Multi-Frame 3D Object Detection","created":"2023-07-01","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":"2405.11180","title":"GestFormer: Multiscale Wavelet Pooling Transformer Network for Dynamic Hand Gesture Recognition","created":"2024-05-18","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":"2310.16542","title":"ParisLuco3D: A high-quality target dataset for domain generalization of LiDAR perception","created":"2023-10-25","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":"2404.00679","title":"Weak-to-Strong 3D Object Detection with X-Ray Distillation","created":"2024-03-31","cited_by_count":5,"area":"distill"},{"id":"2502.01896","title":"INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy","created":"2025-02-04","cited_by_count":5,"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":"2403.09212","title":"PoIFusion: Multi-Modal 3D Object Detection via Fusion at Points of Interest","created":"2024-03-14","cited_by_count":4,"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":"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":"2403.20031","title":"A Unified Framework for Human-centric Point Cloud Video Understanding","created":"2024-03-29","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":"2412.05154","title":"Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection","created":"2024-12-06","cited_by_count":3,"area":null},{"id":"2506.09541","title":"3DGeoDet: General-purpose Geometry-aware Image-based 3D Object Detection","created":"2025-06-11","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":"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":"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":"2306.15348","title":"PANet: LiDAR Panoptic Segmentation with Sparse Instance Proposal and Aggregation","created":"2023-06-27","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":"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":"2406.07023","title":"LiSD: An Efficient Multi-Task Learning Framework for LiDAR Segmentation and Detection","created":"2024-06-11","cited_by_count":2,"area":null},{"id":"2409.03890","title":"MVTN: A Multiscale Video Transformer Network for Hand Gesture Recognition","created":"2024-09-05","cited_by_count":2,"area":null},{"id":"2411.10715","title":"EVT: Efficient View Transformation for Multi-Modal 3D Object Detection","created":"2024-11-16","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":"2302.14522","title":"AdaptiveShape: Solving Shape Variability for 3D Object Detection with Geometry Aware Anchor Distributions","created":"2023-02-28","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":"2311.06054","title":"Refining the ONCE Benchmark with Hyperparameter Tuning","created":"2023-11-10","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":"2402.17521","title":"AVS-Net: Point Sampling with Adaptive Voxel Size for 3D Scene Understanding","created":"2024-02-27","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":"2403.17390","title":"SSF3D: Strict Semi-Supervised 3D Object Detection with Switching Filter","created":"2024-03-26","cited_by_count":1,"area":null},{"id":"2409.06945","title":"FSMDet: Vision-guided feature diffusion for fully sparse 3D detector","created":"2024-09-11","cited_by_count":1,"area":null},{"id":"2501.02314","title":"RadarNeXt: Real-Time and Reliable 3D Object Detector Based On 4D mmWave Imaging Radar","created":"2025-01-04","cited_by_count":1,"area":null},{"id":"2502.15342","title":"PFSD: A Multi-Modal Pedestrian-Focus Scene Dataset for Rich Tasks in Semi-Structured Environments","created":"2025-02-21","cited_by_count":1,"area":null},{"id":"2504.09506","title":"Pillar-Voxel Fusion Network for 3D Object Detection in Airborne Hyperspectral Point Clouds","created":"2025-04-13","cited_by_count":1,"area":null},{"id":"2506.06944","title":"Towards Streaming LiDAR Object Detection with Point Clouds as Egocentric Sequences","created":"2025-06-07","cited_by_count":1,"area":"ssm"},{"id":"2510.27166","title":"M^3Detection: Multi-Frame Multi-Level Feature Fusion for Multi-Modal 3D Object Detection with Camera and 4D Imaging Radar","created":"2025-10-31","cited_by_count":1,"area":null},{"id":"2605.05328","title":"Query2Uncertainty: Robust Uncertainty Quantification and Calibration for 3D Object Detection under Distribution Shift","created":"2026-05-06","cited_by_count":1,"area":null},{"id":"2304.07072","title":"CornerFormer: Boosting Corner Representation for Fine-Grained Structured Reconstruction","created":"2023-04-14","cited_by_count":0,"area":null},{"id":"2408.15813","title":"DQFormer: Towards Unified LiDAR Panoptic Segmentation with Decoupled Queries","created":"2024-08-28","cited_by_count":0,"area":null},{"id":"2409.04601","title":"Multi-scale Feature Fusion with Point Pyramid for 3D Object Detection","created":"2024-09-06","cited_by_count":0,"area":null},{"id":"2409.10901","title":"TrajSSL: Trajectory-Enhanced Semi-Supervised 3D Object Detection","created":"2024-09-17","cited_by_count":0,"area":null},{"id":"2501.00220","title":"DecoratingFusion: A LiDAR-Camera Fusion Network with the Combination of Point-level and Feature-level Fusion","created":"2024-12-31","cited_by_count":0,"area":null},{"id":"2503.01899","title":"FASTer: Focal Token Acquiring-and-Scaling Transformer for Long-term 3D Object Detection","created":"2025-02-28","cited_by_count":0,"area":null},{"id":"2503.08336","title":"Talk2PC: Enhancing 3D Visual Grounding through LiDAR and Radar Point Clouds Fusion for Autonomous Driving","created":"2025-03-11","cited_by_count":0,"area":"driving"},{"id":"2503.12093","title":"SFMNet: Sparse Focal Modulation for 3D Object Detection","created":"2025-03-15","cited_by_count":0,"area":null},{"id":"2505.11099","title":"SM3D: Mitigating Spectral Bias and Semantic Dilution in Point Cloud State Space Models","created":"2025-05-16","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":"2509.05780","title":"3DPillars: Pillar-based two-stage 3D object detection","created":"2025-09-06","cited_by_count":0,"area":null},{"id":"2511.23227","title":"PointCNN++: Performant Convolution on Native Points","created":"2025-11-28","cited_by_count":0,"area":null},{"id":"2604.02903","title":"RayMamba: Ray-Aligned Serialization for Long-Range 3D Object Detection","created":"2026-04-03","cited_by_count":0,"area":null},{"id":"2605.20390","title":"STELLAR: Scaling 3D Perception Large Models for Autonomous Driving","created":"2026-05-19","cited_by_count":0,"area":null},{"id":"2605.22997","title":"Scene Reconstruction as Mapping Priors for 3D Detection","created":"2026-05-21","cited_by_count":0,"area":null},{"id":"2606.02924","title":"ATLAS: A Large-Scale Evaluation Benchmark for Adversarial LiDAR Perception","created":"2026-06-01","cited_by_count":0,"area":null},{"id":"2609.02289","title":"If It Moves, Radar Knows: A Physics-Aware Radar Transformer for Class-Agnostic Moving-Object Detection","created":"2026-09-02","cited_by_count":0,"area":null},{"id":"2609.21780","title":"PointLAM: Local Attentive Mamba for Efficient Point-based 3D Object Detection","created":"2026-09-18","cited_by_count":0,"area":"ssm"}],"next_cursor":null}