{"total":107,"rows":[{"id":"2212.09802","title":"Panoptic Lifting for 3D Scene Understanding with Neural Fields","created":"2022-12-19","cited_by_count":174,"area":null},{"id":"2109.03805","title":"Panoptic nuScenes: A Large-Scale Benchmark for LiDAR Panoptic Segmentation and Tracking","created":"2021-09-08","cited_by_count":166,"area":null},{"id":"2303.05367","title":"Rethinking Range View Representation for LiDAR Segmentation","created":"2023-03-09","cited_by_count":128,"area":"wm"},{"id":"2306.09347","title":"Segment Any Point Cloud Sequences by Distilling Vision Foundation Models","created":"2023-06-15","cited_by_count":125,"area":null},{"id":"2304.09854","title":"Transformer-Based Visual Segmentation: A Survey","created":"2023-04-19","cited_by_count":124,"area":null},{"id":"2306.10013","title":"PanoOcc: Unified Occupancy Representation for Camera-based 3D Panoptic Segmentation","created":"2023-06-16","cited_by_count":115,"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":"2405.20337","title":"OccSora: 4D Occupancy Generation Models as World Simulators for Autonomous Driving","created":"2024-05-30","cited_by_count":78,"area":"driving"},{"id":"2306.09001","title":"SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Driving","created":"2023-06-15","cited_by_count":75,"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":"2303.08600","title":"MSeg3D: Multi-modal 3D Semantic Segmentation for Autonomous Driving","created":"2023-03-15","cited_by_count":68,"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":"2309.05573","title":"UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and the OpenPCSeg Codebase","created":"2023-09-11","cited_by_count":57,"area":null},{"id":"2405.05258","title":"Multi-Modal Data-Efficient 3D Scene Understanding for Autonomous Driving","created":"2024-05-08","cited_by_count":54,"area":null},{"id":"2312.04484","title":"FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation","created":"2023-12-07","cited_by_count":50,"area":null},{"id":"2403.13129","title":"Better Call SAL: Towards Learning to Segment Anything in Lidar","created":"2024-03-19","cited_by_count":47,"area":null},{"id":"2209.14858","title":"4D-StOP: Panoptic Segmentation of 4D LiDAR using Spatio-temporal Object Proposal Generation and Aggregation","created":"2022-09-29","cited_by_count":35,"area":null},{"id":"2407.13761","title":"SegPoint: Segment Any Point Cloud via Large Language Model","created":"2024-07-18","cited_by_count":35,"area":null},{"id":"2407.06190","title":"4D Contrastive Superflows are Dense 3D Representation Learners","created":"2024-07-08","cited_by_count":33,"area":null},{"id":"2503.14029","title":"Rethinking End-to-End 2D to 3D Scene Segmentation in Gaussian Splatting","created":"2025-03-18","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":"2403.17009","title":"Is Your LiDAR Placement Optimized for 3D Scene Understanding?","created":"2024-03-25","cited_by_count":26,"area":null},{"id":"2405.01538","title":"Multi-Space Alignments Towards Universal LiDAR Segmentation","created":"2024-05-02","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":"2309.16133","title":"Mask4Former: Mask Transformer for 4D Panoptic Segmentation","created":"2023-09-28","cited_by_count":24,"area":null},{"id":"2201.05972","title":"Sparse Cross-scale Attention Network for Efficient LiDAR Panoptic Segmentation","created":"2022-01-16","cited_by_count":22,"area":null},{"id":"2303.15651","title":"4D Panoptic Segmentation as Invariant and Equivariant Field Prediction","created":"2023-03-28","cited_by_count":19,"area":null},{"id":"2501.04004","title":"LiMoE: Mixture of LiDAR Representation Learners from Automotive Scenes","created":"2025-01-07","cited_by_count":19,"area":"moe"},{"id":"2106.07545","title":"PolarStream: Streaming Lidar Object Detection and Segmentation with Polar Pillars","created":"2021-06-14","cited_by_count":18,"area":null},{"id":"2111.10250","title":"Panoptic Segmentation: A Review","created":"2021-11-19","cited_by_count":18,"area":null},{"id":"2308.01686","title":"LiDAR-Camera Panoptic Segmentation via Geometry-Consistent and Semantic-Aware Alignment","created":"2023-08-03","cited_by_count":18,"area":null},{"id":"2206.14554","title":"Uncertainty-aware Panoptic Segmentation","created":"2022-06-29","cited_by_count":17,"area":null},{"id":"2303.13509","title":"Position-Guided Point Cloud Panoptic Segmentation Transformer","created":"2023-03-23","cited_by_count":17,"area":null},{"id":"2410.17505","title":"PLGS: Robust Panoptic Lifting with 3D Gaussian Splatting","created":"2024-10-23","cited_by_count":17,"area":null},{"id":"2302.06185","title":"PUPS: Point Cloud Unified Panoptic Segmentation","created":"2023-02-13","cited_by_count":16,"area":null},{"id":"2410.10659","title":"PCF-Lift: Panoptic Lifting by Probabilistic Contrastive Fusion","created":"2024-10-14","cited_by_count":16,"area":null},{"id":"2503.18107","title":"PanoGS: Gaussian-based Panoptic Segmentation for 3D Open Vocabulary Scene Understanding","created":"2025-03-23","cited_by_count":16,"area":null},{"id":"2206.12073","title":"MaskRange: A Mask-classification Model for Range-view based LiDAR Segmentation","created":"2022-06-24","cited_by_count":15,"area":null},{"id":"2209.08263","title":"Scalable SoftGroup for 3D Instance Segmentation on Point Clouds","created":"2022-09-17","cited_by_count":15,"area":null},{"id":"2111.01723","title":"CPSeg: Cluster-free Panoptic Segmentation of 3D LiDAR Point Clouds","created":"2021-11-02","cited_by_count":14,"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":"2209.07121","title":"4DenoiseNet: Adverse Weather Denoising from Adjacent Point Clouds","created":"2022-09-15","cited_by_count":14,"area":null},{"id":"2311.01556","title":"MemorySeg: Online LiDAR Semantic Segmentation with a Latent Memory","created":"2023-11-02","cited_by_count":14,"area":null},{"id":"2401.06704","title":"Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering","created":"2024-01-12","cited_by_count":14,"area":null},{"id":"2401.02402","title":"3D Open-Vocabulary Panoptic Segmentation with 2D-3D Vision-Language Distillation","created":"2024-01-04","cited_by_count":13,"area":null},{"id":"2311.01520","title":"4D-Former: Multimodal 4D Panoptic Segmentation","created":"2023-11-02","cited_by_count":12,"area":null},{"id":"2501.04005","title":"LargeAD: Large-Scale Cross-Sensor Data Pretraining for Autonomous Driving","created":"2025-01-07","cited_by_count":12,"area":null},{"id":"2108.13588","title":"SMAC-Seg: LiDAR Panoptic Segmentation via Sparse Multi-directional Attention Clustering","created":"2021-08-31","cited_by_count":11,"area":null},{"id":"2203.07186","title":"LiDAR-based 4D Panoptic Segmentation via Dynamic Shifting Network","created":"2022-03-14","cited_by_count":11,"area":null},{"id":"2401.10556","title":"Symbol as Points: Panoptic Symbol Spotting via Point-based Representation","created":"2024-01-19","cited_by_count":11,"area":null},{"id":"2403.17010","title":"Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding","created":"2024-03-25","cited_by_count":11,"area":null},{"id":"2108.09522","title":"A Technical Survey and Evaluation of Traditional Point Cloud Clustering Methods for LiDAR Panoptic Segmentation","created":"2021-08-21","cited_by_count":10,"area":null},{"id":"2109.08224","title":"A Divide-and-Merge Point Cloud Clustering Algorithm for LiDAR Panoptic Segmentation","created":"2021-09-16","cited_by_count":9,"area":null},{"id":"2401.16305","title":"MixSup: Mixed-grained Supervision for Label-efficient LiDAR-based 3D Object Detection","created":"2024-01-29","cited_by_count":9,"area":null},{"id":"2206.11428","title":"LidarMultiNet: Unifying LiDAR Semantic Segmentation, 3D Object Detection, and Panoptic Segmentation in a Single Multi-task Network","created":"2022-06-23","cited_by_count":8,"area":null},{"id":"2304.13980","title":"A Review of Panoptic Segmentation for Mobile Mapping Point Clouds","created":"2023-04-27","cited_by_count":8,"area":null},{"id":"2307.02877","title":"Towards accurate instance segmentation in large-scale LiDAR point clouds","created":"2023-07-06","cited_by_count":8,"area":null},{"id":"2405.07201","title":"Building a Strong Pre-Training Baseline for Universal 3D Large-Scale Perception","created":"2024-05-12","cited_by_count":8,"area":null},{"id":"2409.14273","title":"Lidar Panoptic Segmentation in an Open World","created":"2024-09-22","cited_by_count":8,"area":null},{"id":"2505.18956","title":"How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation","created":"2025-05-25","cited_by_count":8,"area":null},{"id":"2310.12464","title":"Lidar Panoptic Segmentation and Tracking without Bells and Whistles","created":"2023-10-19","cited_by_count":7,"area":null},{"id":"2411.12177","title":"Robust 3D Semantic Occupancy Prediction with Calibration-free Spatial Transformation","created":"2024-11-19","cited_by_count":7,"area":null},{"id":"2507.05260","title":"Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations","created":"2025-07-07","cited_by_count":7,"area":null},{"id":"2512.02982","title":"U4D: Uncertainty-Aware 4D World Modeling from LiDAR Sequences","created":"2025-12-02","cited_by_count":7,"area":"wm"},{"id":"2206.09664","title":"What Can be Seen is What You Get: Structure Aware Point Cloud Augmentation","created":"2022-06-20","cited_by_count":6,"area":null},{"id":"2210.04472","title":"Uncertainty-aware LiDAR Panoptic Segmentation","created":"2022-10-10","cited_by_count":6,"area":null},{"id":"2311.09499","title":"Center Focusing Network for Real-Time LiDAR Panoptic Segmentation","created":"2023-11-16","cited_by_count":6,"area":null},{"id":"2312.08234","title":"Beyond the Label Itself: Latent Labels Enhance Semi-supervised Point Cloud Panoptic Segmentation","created":"2023-12-13","cited_by_count":6,"area":null},{"id":"2504.00848","title":"Zero-Shot 4D Lidar Panoptic Segmentation","created":"2025-04-01","cited_by_count":6,"area":null},{"id":"2506.13265","title":"Open-Set LiDAR Panoptic Segmentation Guided by Uncertainty-Aware Learning","created":"2025-06-16","cited_by_count":6,"area":null},{"id":"2602.19349","title":"UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation","created":"2026-02-22","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":"2408.16200","title":"PolarBEVDet: Exploring Polar Representation for Multi-View 3D Object Detection in Bird's-Eye-View","created":"2024-08-29","cited_by_count":5,"area":null},{"id":"2505.10601","title":"SRMamba: Mamba for Super-Resolution of LiDAR Point Clouds","created":"2025-05-15","cited_by_count":5,"area":"ssm"},{"id":"2505.24634","title":"NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation","created":"2025-05-30","cited_by_count":5,"area":null},{"id":"2408.14253","title":"Text3DAug -- Prompted Instance Augmentation for LiDAR Perception","created":"2024-08-26","cited_by_count":4,"area":null},{"id":"2410.08206","title":"Interactive4D: Interactive 4D LiDAR Segmentation","created":"2024-10-10","cited_by_count":4,"area":null},{"id":"2503.19912","title":"Enhanced Spatiotemporal Consistency for Image-to-LiDAR Data Pretraining","created":"2025-03-25","cited_by_count":4,"area":null},{"id":"2503.23980","title":"SALT: A Flexible Semi-Automatic Labeling Tool for General LiDAR Point Clouds with Cross-Scene Adaptability and 4D Consistency","created":"2025-03-31","cited_by_count":4,"area":null},{"id":"2603.25165","title":"Towards Foundation Models for 3D Scene Understanding: Instance-Aware Self-Supervised Learning for Point Clouds","created":"2026-03-26","cited_by_count":4,"area":null},{"id":"2211.15759","title":"PIDS: Joint Point Interaction-Dimension Search for 3D Point Cloud","created":"2022-11-28","cited_by_count":3,"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":"2304.08447","title":"RadarFormer: Lightweight and Accurate Real-Time Radar Object Detection Model","created":"2023-04-17","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":"2412.08973","title":"Is Contrastive Distillation Enough for Learning Comprehensive 3D Representations?","created":"2024-12-12","cited_by_count":3,"area":null},{"id":"2302.00885","title":"AOP-Net: All-in-One Perception Network for Joint LiDAR-based 3D Object Detection and Panoptic Segmentation","created":"2023-02-02","cited_by_count":2,"area":null},{"id":"2304.08645","title":"ProPanDL: A Modular Architecture for Uncertainty-Aware Panoptic Segmentation","created":"2023-04-17","cited_by_count":2,"area":null},{"id":"2304.14800","title":"Multi-to-Single Knowledge Distillation for Point Cloud Semantic Segmentation","created":"2023-04-28","cited_by_count":2,"area":"distill"},{"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":"2505.09562","title":"Camera-Only 3D Panoptic Scene Completion for Autonomous Driving through Differentiable Object Shapes","created":"2025-05-14","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":"2605.13815","title":"OmniLiDAR: A Unified Diffusion Framework for Multi-Domain 3D LiDAR Generation","created":"2026-05-13","cited_by_count":2,"area":"wm"},{"id":"2305.14008","title":"Multi-Echo Denoising in Adverse Weather","created":"2023-05-23","cited_by_count":1,"area":null},{"id":"2411.07742","title":"Efficient 3D Perception on Multi-Sweep Point Cloud with Gumbel Spatial Pruning","created":"2024-11-12","cited_by_count":1,"area":null},{"id":"2503.02372","title":"Label-Efficient LiDAR Panoptic Segmentation","created":"2025-03-04","cited_by_count":1,"area":null},{"id":"2503.13203","title":"Is clustering enough for LiDAR instance segmentation? A state-of-the-art training-free baseline","created":"2025-03-17","cited_by_count":1,"area":null},{"id":"2609.04411","title":"AquaBEV: Monocular Underwater BEV Occupancy with 3D Sonar Supervision","created":"2026-09-03","cited_by_count":1,"area":null},{"id":"2408.10404","title":"Accelerating Point Cloud Ground Segmentation: From Mechanical to Solid-State Lidars","created":"2024-08-19","cited_by_count":0,"area":null},{"id":"2502.15438","title":"Deflickering Vision-Based Occupancy Networks through Lightweight Spatio-Temporal Correlation","created":"2025-02-21","cited_by_count":0,"area":null},{"id":"2503.13188","title":"3D Hierarchical Panoptic Segmentation in Real Orchard Environments Across Different Sensors","created":"2025-03-17","cited_by_count":0,"area":null}],"next_cursor":"100"}