{"total":64,"rows":[{"id":"2311.17663","title":"Cam4DOcc: Benchmark for Camera-Only 4D Occupancy Forecasting in Autonomous Driving Applications","created":"2023-11-29","cited_by_count":52,"area":"wm"},{"id":"2207.12394","title":"Dynamic 3D Scene Analysis by Point Cloud Accumulation","created":"2022-07-25","cited_by_count":47,"area":null},{"id":"2110.04076","title":"Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks","created":"2021-09-28","cited_by_count":42,"area":"wm"},{"id":"2206.04129","title":"Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions","created":"2022-06-08","cited_by_count":35,"area":null},{"id":"2302.14052","title":"LODE: Locally Conditioned Eikonal Implicit Scene Completion from Sparse LiDAR","created":"2023-02-27","cited_by_count":31,"area":null},{"id":"2207.02201","title":"Efficient Spatial-Temporal Information Fusion for LiDAR-Based 3D Moving Object Segmentation","created":"2022-07-05","cited_by_count":29,"area":null},{"id":"2202.13377","title":"Meta-RangeSeg: LiDAR Sequence Semantic Segmentation Using Multiple Feature Aggregation","created":"2022-02-27","cited_by_count":23,"area":null},{"id":"2401.17023","title":"MF-MOS: A Motion-Focused Model for Moving Object Segmentation","created":"2024-01-30","cited_by_count":23,"area":null},{"id":"2303.03909","title":"InsMOS: Instance-Aware Moving Object Segmentation in LiDAR Data","created":"2023-03-07","cited_by_count":18,"area":null},{"id":"2209.13172","title":"Dynamics-Aware Spatiotemporal Occupancy Prediction in Urban Environments","created":"2022-09-27","cited_by_count":17,"area":null},{"id":"2111.04875","title":"LiMoSeg: Real-time Bird's Eye View based LiDAR Motion Segmentation","created":"2021-11-08","cited_by_count":15,"area":null},{"id":"2308.13323","title":"SVQNet: Sparse Voxel-Adjacent Query Network for 4D Spatio-Temporal LiDAR Semantic Segmentation","created":"2023-08-25","cited_by_count":14,"area":null},{"id":"2303.15126","title":"NeuralPCI: Spatio-temporal Neural Field for 3D Point Cloud Multi-frame Non-linear Interpolation","created":"2023-03-27","cited_by_count":13,"area":null},{"id":"2309.07849","title":"TFNet: Exploiting Temporal Cues for Fast and Accurate LiDAR Semantic Segmentation","created":"2023-09-14","cited_by_count":13,"area":null},{"id":"2208.07364","title":"Online Pole Segmentation on Range Images for Long-term LiDAR Localization in Urban Environments","created":"2022-08-15","cited_by_count":12,"area":null},{"id":"2404.12794","title":"MambaMOS: LiDAR-based 3D Moving Object Segmentation with Motion-aware State Space Model","created":"2024-04-19","cited_by_count":12,"area":null},{"id":"2405.14870","title":"An Empirical Study of Training State-of-the-Art LiDAR Segmentation Models","created":"2024-05-23","cited_by_count":12,"area":null},{"id":"2304.07773","title":"PCPNet: An Efficient and Semantic-Enhanced Transformer Network for Point Cloud Prediction","created":"2023-04-16","cited_by_count":11,"area":null},{"id":"2305.07336","title":"MotionBEV: Attention-Aware Online LiDAR Moving Object Segmentation with Bird's Eye View based Appearance and Motion Features","created":"2023-05-12","cited_by_count":10,"area":null},{"id":"2303.01979","title":"ACL-SPC: Adaptive Closed-Loop system for Self-Supervised Point Cloud Completion","created":"2023-03-02","cited_by_count":9,"area":null},{"id":"2309.16435","title":"Radar Instance Transformer: Reliable Moving Instance Segmentation in Sparse Radar Point Clouds","created":"2023-09-28","cited_by_count":9,"area":null},{"id":"2212.14750","title":"Unsupervised 4D LiDAR Moving Object Segmentation in Stationary Settings with Multivariate Occupancy Time Series","created":"2022-12-30","cited_by_count":8,"area":null},{"id":"2405.03388","title":"3D LiDAR Mapping in Dynamic Environments Using a 4D Implicit Neural Representation","created":"2024-05-06","cited_by_count":8,"area":null},{"id":"2502.12975","title":"Instance-Level Moving Object Segmentation from a Single Image with Events","created":"2025-02-18","cited_by_count":6,"area":null},{"id":"2406.16279","title":"SegNet4D: Efficient Instance-Aware 4D Semantic Segmentation for LiDAR Point Cloud","created":"2024-06-24","cited_by_count":5,"area":null},{"id":"2408.06328","title":"HeLiMOS: A Dataset for Moving Object Segmentation in 3D Point Clouds From Heterogeneous LiDAR Sensors","created":"2024-08-12","cited_by_count":5,"area":null},{"id":"2308.15479","title":"3D Adversarial Augmentations for Robust Out-of-Domain Predictions","created":"2023-08-29","cited_by_count":4,"area":null},{"id":"2405.10175","title":"Filling Missing Values Matters for Range Image-Based Point Cloud Segmentation","created":"2024-05-16","cited_by_count":4,"area":null},{"id":"2505.09422","title":"MoRAL: Motion-aware Multi-Frame 4D Radar and LiDAR Fusion for Robust 3D Object Detection","created":"2025-05-14","cited_by_count":4,"area":null},{"id":"2303.04351","title":"ElC-OIS: Ellipsoidal Clustering for Open-World Instance Segmentation on LiDAR Data","created":"2023-03-08","cited_by_count":3,"area":null},{"id":"2403.05019","title":"ERASOR++: Height Coding Plus Egocentric Ratio Based Dynamic Object Removal for Static Point Cloud Mapping","created":"2024-03-08","cited_by_count":3,"area":null},{"id":"2403.16318","title":"AutoInst: Automatic Instance-Based Segmentation of LiDAR 3D Scans","created":"2024-03-24","cited_by_count":3,"area":null},{"id":"2404.08363","title":"Let-It-Flow: Simultaneous Optimization of 3D Flow and Object Clustering","created":"2024-04-12","cited_by_count":3,"area":null},{"id":"2407.17905","title":"StreamMOS: Streaming Moving Object Segmentation with Multi-View Perception and Dual-Span Memory","created":"2024-07-25","cited_by_count":3,"area":null},{"id":"2503.06569","title":"Global-Aware Monocular Semantic Scene Completion with State Space Models","created":"2025-03-09","cited_by_count":3,"area":"ssm"},{"id":"2307.08850","title":"LiDAR-BEVMTN: Real-Time LiDAR Bird's-Eye View Multi-Task Perception Network for Autonomous Driving","created":"2023-07-17","cited_by_count":2,"area":null},{"id":"2412.00291","title":"Real-Time Metric-Semantic Mapping for Autonomous Navigation in Outdoor Environments","created":"2024-11-30","cited_by_count":2,"area":null},{"id":"2507.03441","title":"Radar Tracker: Moving Instance Tracking in Sparse and Noisy Radar Point Clouds","created":"2025-07-04","cited_by_count":2,"area":null},{"id":"2507.03463","title":"Radar Velocity Transformer: Single-scan Moving Object Segmentation in Noisy Radar Point Clouds","created":"2025-07-04","cited_by_count":2,"area":null},{"id":"2507.06906","title":"SemRaFiner: Panoptic Segmentation in Sparse and Noisy Radar Point Clouds","created":"2025-07-09","cited_by_count":2,"area":null},{"id":"2205.03186","title":"Semantics-Guided Moving Object Segmentation with 3D LiDAR","created":"2022-05-06","cited_by_count":1,"area":null},{"id":"2209.07888","title":"TwistSLAM++: Fusing multiple modalities for accurate dynamic semantic SLAM","created":"2022-09-16","cited_by_count":1,"area":null},{"id":"2209.10471","title":"Sample, Crop, Track: Self-Supervised Mobile 3D Object Detection for Urban Driving LiDAR","created":"2022-09-21","cited_by_count":1,"area":null},{"id":"2305.02909","title":"Aligning Bird-Eye View Representation of Point Cloud Sequences using Scene Flow","created":"2023-05-04","cited_by_count":1,"area":null},{"id":"2306.14812","title":"MOVES: Movable and Moving LiDAR Scene Segmentation in Label-Free settings using Static Reconstruction","created":"2023-06-26","cited_by_count":1,"area":null},{"id":"2309.09206","title":"Differentiable SLAM Helps Deep Learning-based LiDAR Perception Tasks","created":"2023-09-17","cited_by_count":1,"area":null},{"id":"2407.14306","title":"Label-Free Model Failure Detection for Lidar-based Point Cloud Segmentation","created":"2024-07-19","cited_by_count":1,"area":null},{"id":"2408.10602","title":"MV-MOS: Multi-View Feature Fusion for 3D Moving Object Segmentation","created":"2024-08-20","cited_by_count":1,"area":null},{"id":"2408.13790","title":"CV-MOS: A Cross-View Model for Motion Segmentation","created":"2024-08-25","cited_by_count":1,"area":null},{"id":"2502.18368","title":"Near-Shore Mapping for Detection and Tracking of Vessels","created":"2025-02-25","cited_by_count":1,"area":null},{"id":"2605.30352","title":"GMOS: Grounding Moving Object Segmentation in 3D Space and Time","created":"2026-05-28","cited_by_count":1,"area":null},{"id":"2204.09804","title":"Weighted Bayesian Gaussian Mixture Model for Roadside LiDAR Object Detection","created":"2022-04-20","cited_by_count":0,"area":null},{"id":"2311.03572","title":"Unsupervised Region-Growing Network for Object Segmentation in Atmospheric Turbulence","created":"2023-11-06","cited_by_count":0,"area":null},{"id":"2410.18638","title":"Moving Object Segmentation in Point Cloud Data using Hidden Markov Models","created":"2024-10-24","cited_by_count":0,"area":null},{"id":"2501.02937","title":"4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic Segmentation","created":"2025-01-06","cited_by_count":0,"area":null},{"id":"2503.03280","title":"BEVMOSNet: Multimodal Fusion for BEV Moving Object Segmentation","created":"2025-03-05","cited_by_count":0,"area":null},{"id":"2503.06863","title":"HIF: Height Interval Filtering for Efficient Dynamic Points Removal","created":"2025-03-10","cited_by_count":0,"area":null},{"id":"2503.07167","title":"Temporal Overlapping Prediction: A Self-supervised Pre-training Method for LiDAR Moving Object Segmentation","created":"2025-03-10","cited_by_count":0,"area":null},{"id":"2506.14130","title":"KDMOS:Knowledge Distillation for Motion Segmentation","created":"2025-06-17","cited_by_count":0,"area":"distill"},{"id":"2511.02395","title":"Self-Supervised Moving Object Segmentation of Sparse and Noisy Radar Point Clouds","created":"2025-11-04","cited_by_count":0,"area":null},{"id":"2602.08189","title":"Chamelion: Reliable Change Detection for Long-Term LiDAR Mapping in Transient Environments","created":"2026-02-09","cited_by_count":0,"area":null},{"id":"2608.05356","title":"LoDA: A Level of Detection Aware Method and a Multimodal Sensing Benchmark for Object Level Change Detection","created":"2026-08-05","cited_by_count":0,"area":null},{"id":"2608.25418","title":"Bootstrapping a 4D LiDAR Annotation Tool from Video Foundation Models","created":"2026-08-26","cited_by_count":0,"area":null},{"id":"2609.33230","title":"AevaScenes: An FMCW LiDAR Dataset and Benchmark for Long-Range Perception","created":"2026-09-27","cited_by_count":0,"area":null}],"next_cursor":null}