{"total":31,"rows":[{"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":"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":"2405.05173","title":"A Survey on Occupancy Perception for Autonomous Driving: The Information Fusion Perspective","created":"2024-05-08","cited_by_count":37,"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":"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":"2305.19812","title":"A Survey of Label-Efficient Deep Learning for 3D Point Clouds","created":"2023-05-31","cited_by_count":20,"area":null},{"id":"2311.06018","title":"U3DS$^3$: Unsupervised 3D Semantic Scene Segmentation","created":"2023-11-10","cited_by_count":16,"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":"2501.04005","title":"LargeAD: Large-Scale Cross-Sensor Data Pretraining for Autonomous Driving","created":"2025-01-07","cited_by_count":12,"area":null},{"id":"2310.20293","title":"Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation","created":"2023-10-31","cited_by_count":11,"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":"2406.10068","title":"DurLAR: A High-fidelity 128-channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-modal Autonomous Driving Applications","created":"2024-06-14","cited_by_count":8,"area":null},{"id":"2504.12264","title":"Towards Learning to Complete Anything in Lidar","created":"2025-04-16","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":"2309.10527","title":"SPOT: Scalable 3D Pre-training via Occupancy Prediction for Learning Transferable 3D Representations","created":"2023-09-19","cited_by_count":5,"area":null},{"id":"2407.07171","title":"ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation","created":"2024-07-09","cited_by_count":5,"area":null},{"id":"2407.00917","title":"From Category to Scenery: An End-to-End Framework for Multi-Person Human-Object Interaction Recognition in Videos","created":"2024-07-01","cited_by_count":4,"area":null},{"id":"2503.18384","title":"LiDAR Remote Sensing Meets Weak Supervision: Concepts, Methods, and Perspectives","created":"2025-03-24","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":"2403.06401","title":"Refining Segmentation On-the-Fly: An Interactive Framework for Point Cloud Semantic Segmentation","created":"2024-03-11","cited_by_count":3,"area":null},{"id":"2503.17752","title":"HiLoTs: High-Low Temporal Sensitive Representation Learning for Semi-Supervised LiDAR Segmentation in Autonomous Driving","created":"2025-03-22","cited_by_count":3,"area":null},{"id":"2408.11280","title":"Exploring Scene Affinity for Semi-Supervised LiDAR Semantic Segmentation","created":"2024-08-21","cited_by_count":2,"area":null},{"id":"2410.06893","title":"Learning from Spatio-temporal Correlation for Semi-Supervised LiDAR Semantic Segmentation","created":"2024-10-09","cited_by_count":1,"area":null},{"id":"2510.23525","title":"DPGLA: Bridging the Gap between Synthetic and Real Data for Unsupervised Domain Adaptation in 3D LiDAR Semantic Segmentation","created":"2025-10-27","cited_by_count":1,"area":null},{"id":"2605.17135","title":"Collaborative Learning for Semi-Supervised LiDAR Semantic Segmentation","created":"2026-05-16","cited_by_count":1,"area":null},{"id":"2401.16051","title":"Dynamic Prototype Adaptation with Distillation for Few-shot Point Cloud Segmentation","created":"2024-01-29","cited_by_count":0,"area":null},{"id":"2409.13325","title":"Towards Semi-supervised Dual-modal Semantic Segmentation","created":"2024-09-20","cited_by_count":0,"area":null},{"id":"2508.04406","title":"Deep Learning-based Scalable Image-to-3D Facade Parser for Generating Thermal 3D Building Models","created":"2025-08-06","cited_by_count":0,"area":null},{"id":"2604.06825","title":"RePL: Pseudo-label Refinement for Semi-supervised LiDAR Semantic Segmentation","created":"2026-04-08","cited_by_count":0,"area":null}],"next_cursor":null}