{"total":54,"rows":[{"id":"2509.07996","title":"3D and 4D World Modeling: A Survey","created":"2025-09-04","cited_by_count":67,"area":"wm"},{"id":"2405.17426","title":"Benchmarking and Improving Bird's Eye View Perception Robustness in Autonomous Driving","created":"2024-05-27","cited_by_count":41,"area":null},{"id":"2512.03627","title":"MemVerse: Multimodal Memory for Lifelong Learning Agents","created":"2025-12-03","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":"2512.16760","title":"Vision-Language-Action Models for Autonomous Driving: Past, Present, and Future","created":"2025-12-18","cited_by_count":33,"area":"vla"},{"id":"2406.12214","title":"Is Your HD Map Constructor Reliable under Sensor Corruptions?","created":"2024-06-18","cited_by_count":28,"area":null},{"id":"2504.09540","title":"EmbodiedOcc++: Boosting Embodied 3D Occupancy Prediction with Plane Regularization and Uncertainty Sampler","created":"2025-04-13","cited_by_count":27,"area":null},{"id":"2405.08816","title":"The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition","created":"2024-05-14","cited_by_count":23,"area":null},{"id":"2506.23982","title":"StyleDrive: Towards Driving-Style Aware Benchmarking of End-To-End Autonomous Driving","created":"2025-06-30","cited_by_count":21,"area":"driving"},{"id":"2501.04004","title":"LiMoE: Mixture of LiDAR Representation Learners from Automotive Scenes","created":"2025-01-07","cited_by_count":19,"area":"moe"},{"id":"2507.17665","title":"Perspective-Invariant 3D Object Detection","created":"2025-07-23","cited_by_count":18,"area":"wm"},{"id":"2508.03692","title":"LiDARCrafter: Dynamic 4D World Modeling from LiDAR Sequences","created":"2025-08-05","cited_by_count":17,"area":"wm"},{"id":"2507.00861","title":"SafeMap: Robust HD Map Construction from Incomplete Observations","created":"2025-07-01","cited_by_count":14,"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":"2511.01755","title":"3EED: Ground Everything Everywhere in 3D","created":"2025-11-03","cited_by_count":12,"area":null},{"id":"2412.06708","title":"FlexEvent: Towards Flexible Event-Frame Object Detection at Varying Operational Frequencies","created":"2024-12-09","cited_by_count":10,"area":null},{"id":"2505.22643","title":"SPIRAL: Semantic-Aware Progressive LiDAR Scene Generation and Understanding","created":"2025-05-28","cited_by_count":10,"area":"wm"},{"id":"2508.03691","title":"La La LiDAR: Large-Scale Layout Generation from LiDAR Data","created":"2025-08-05","cited_by_count":10,"area":null},{"id":"2504.14921","title":"Fast Adversarial Training with Weak-to-Strong Spatial-Temporal Consistency in the Frequency Domain on Videos","created":"2025-04-21","cited_by_count":9,"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":"2509.20251","title":"4D Driving Scene Generation With Stereo Forcing","created":"2025-09-24","cited_by_count":8,"area":null},{"id":"2502.16303","title":"Pointmap Association and Piecewise-Plane Constraint for Consistent and Compact 3D Gaussian Segmentation Field","created":"2025-02-22","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":"2507.17664","title":"Talk2Event: Grounded Understanding of Dynamic Scenes from Event Cameras","created":"2025-07-23","cited_by_count":6,"area":null},{"id":"2509.22225","title":"ExtrinSplat: Decoupling Geometry and Semantics for Open-Vocabulary Understanding in 3D Gaussian Splatting","created":"2025-09-26","cited_by_count":6,"area":null},{"id":"2508.03690","title":"Veila: Panoramic LiDAR Generation from a Monocular RGB Image","created":"2025-08-05","cited_by_count":5,"area":"wm"},{"id":"2503.19912","title":"Enhanced Spatiotemporal Consistency for Image-to-LiDAR Data Pretraining","created":"2025-03-25","cited_by_count":4,"area":null},{"id":"2504.03563","title":"PF3Det: A Prompted Foundation Feature Assisted Visual LiDAR 3D Detector","created":"2025-04-04","cited_by_count":4,"area":null},{"id":"2505.21079","title":"Uni3D-MoE: Scalable Multimodal 3D Scene Understanding via Mixture of Experts","created":"2025-05-27","cited_by_count":4,"area":"mllm"},{"id":"2512.24385","title":"Forging Spatial Intelligence: A Roadmap of Multi-Modal Data Pre-Training for Autonomous Systems","created":"2025-12-30","cited_by_count":4,"area":null},{"id":"2503.09878","title":"CleverDistiller: Simple and Spatially Consistent Cross-modal Distillation","created":"2025-03-12","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":"2511.18831","title":"VideoCompressa: Data-Efficient Video Understanding via Joint Temporal Compression and Spatial Reconstruction","created":"2025-11-24","cited_by_count":3,"area":null},{"id":"2602.01369","title":"Exposing and Defending the Achilles' Heel of Video Mixture-of-Experts","created":"2026-02-01","cited_by_count":3,"area":"moe"},{"id":"2603.25494","title":"AdaSFormer: Adaptive Serialized Transformers for Monocular Semantic Scene Completion from Indoor Environments","created":"2026-03-26","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":"2505.22429","title":"Zero-Shot 3D Visual Grounding from Vision-Language Models","created":"2025-05-28","cited_by_count":2,"area":"mllm"},{"id":"2506.00358","title":"$\\texttt{AVROBUSTBENCH}$: Benchmarking the Robustness of Audio-Visual Recognition Models at Test-Time","created":"2025-05-31","cited_by_count":2,"area":null},{"id":"2506.17346","title":"A Novel Multi-layer Task-centric and Data Quality Framework for Autonomous Driving","created":"2025-06-19","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":"2606.18242","title":"EventDrive: Event Cameras for Vision-Language Driving Intelligence","created":"2026-06-16","cited_by_count":2,"area":"driving"},{"id":"2505.11066","title":"A Multi-modal Fusion Network for Terrain Perception Based on Illumination Aware","created":"2025-05-16","cited_by_count":1,"area":null},{"id":"2604.10721","title":"Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization","created":"2026-04-12","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":"2606.29020","title":"Semantic-Aware, Physics-Informed, Geometry-Grounded Weather Video Synthesis","created":"2026-06-27","cited_by_count":1,"area":null},{"id":"2608.03269","title":"Efficient Video Dataset Distillation via Cluster-Guided Prototype Blending","created":"2026-08-04","cited_by_count":1,"area":null},{"id":"2603.06544","title":"Modeling and Measuring Redundancy in Multisource Multimodal Data for Autonomous Driving","created":"2026-03-06","cited_by_count":0,"area":null},{"id":"2603.12013","title":"Pano360: Perspective to Panoramic Vision with Geometric Consistency","created":"2026-03-12","cited_by_count":0,"area":null},{"id":"2603.14076","title":"SGR-OCC: Evolving Monocular Priors for Embodied 3D Occupancy Prediction via Soft-Gating Lifting and Semantic-Adaptive Geometric Refinement","created":"2026-03-14","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},{"id":"2608.21136","title":"Stream3Dv2: Geometric-Semantic Fusion Enhanced Streaming Zero-Shot 3D Scene Understanding","created":"2026-08-21","cited_by_count":0,"area":null},{"id":"2610.20604","title":"VITAL: From Visual Motion to Precise Action","created":"2026-10-14","cited_by_count":0,"area":"wm"}],"next_cursor":null}