{"list":"other","total":59,"rows":[{"id":"1706.03762","title":"Attention Is All You Need","created":"2017-06-12","cited_by_count":60361},{"id":"2001.08361","title":"Scaling Laws for Neural Language Models","created":"2020-01-23","cited_by_count":6586},{"id":"1903.11027","title":"nuScenes: A multimodal dataset for autonomous driving","created":"2019-03-26","cited_by_count":4523},{"id":"1912.04838","title":"Scalability in Perception for Autonomous Driving: Waymo Open Dataset","created":"2019-12-10","cited_by_count":2451},{"id":"1711.03938","title":"CARLA: An Open Urban Driving Simulator","created":"2017-11-10","cited_by_count":2449},{"id":"2203.17270","title":"BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers","created":"2022-03-31","cited_by_count":1218},{"id":"2112.11790","title":"BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View","created":"2021-12-22","cited_by_count":713},{"id":"2206.10092","title":"BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection","created":"2022-06-21","cited_by_count":572},{"id":"2302.07817","title":"Tri-Perspective View for Vision-Based 3D Semantic Occupancy Prediction","created":"2023-02-15","cited_by_count":409},{"id":"2304.14365","title":"Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Driving","created":"2023-04-27","cited_by_count":332},{"id":"2303.09551","title":"SurroundOcc: Multi-Camera 3D Occupancy Prediction for Autonomous Driving","created":"2023-03-16","cited_by_count":316},{"id":"2109.07644","title":"OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication","created":"2021-09-16","cited_by_count":304},{"id":"2311.16038","title":"OccWorld: Learning a 3D Occupancy World Model for Autonomous Driving","created":"2023-11-27","cited_by_count":233},{"id":"1905.06113","title":"Human Motion Trajectory Prediction: A Survey","created":"2019-05-15","cited_by_count":232},{"id":"2207.02202","title":"CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers","created":"2022-07-05","cited_by_count":227},{"id":"2303.03991","title":"OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception","created":"2023-03-07","cited_by_count":221},{"id":"2306.02851","title":"Scene as Occupancy","created":"2023-06-05","cited_by_count":209},{"id":"2312.01919","title":"COTR: Compact Occupancy TRansformer for Vision-based 3D Occupancy Prediction","created":"2023-12-04","cited_by_count":96},{"id":"2412.15208","title":"OpenEMMA: Open-Source Multimodal Model for End-to-End Autonomous Driving","created":"2024-12-19","cited_by_count":93},{"id":"2409.03272","title":"OccLLaMA: An Occupancy-Language-Action Generative World Model for Autonomous Driving","created":"2024-09-05","cited_by_count":83},{"id":"2405.20337","title":"OccSora: 4D Occupancy Generation Models as World Simulators for Autonomous Driving","created":"2024-05-30","cited_by_count":78},{"id":"2203.03875","title":"Occupancy Flow Fields for Motion Forecasting in Autonomous Driving","created":"2022-03-08","cited_by_count":62},{"id":"2410.10429","title":"DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model","created":"2024-10-14","cited_by_count":61},{"id":"2108.08236","title":"LOKI: Long Term and Key Intentions for Trajectory Prediction","created":"2021-08-18","cited_by_count":57},{"id":"2311.17663","title":"Cam4DOcc: Benchmark for Camera-Only 4D Occupancy Forecasting in Autonomous Driving Applications","created":"2023-11-29","cited_by_count":52},{"id":"2403.15098","title":"UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction","created":"2024-03-22","cited_by_count":52},{"id":"2501.18616","title":"STAMP: Scalable Task And Model-agnostic Collaborative Perception","created":"2025-01-24","cited_by_count":44},{"id":"2406.08691","title":"UnO: Unsupervised Occupancy Fields for Perception and Forecasting","created":"2024-06-12","cited_by_count":41},{"id":"2203.07060","title":"MotionSC: Data Set and Network for Real-Time Semantic Mapping in Dynamic Environments","created":"2022-03-14","cited_by_count":40},{"id":"2410.18084","title":"DynamicCity: Large-Scale 4D Occupancy Generation from Dynamic Scenes","created":"2024-10-23","cited_by_count":38},{"id":"2106.02930","title":"Spectral Temporal Graph Neural Network for Trajectory Prediction","created":"2021-06-05","cited_by_count":36},{"id":"2412.15206","title":"AutoTrust: Benchmarking Trustworthiness in Large Vision Language Models for Autonomous Driving","created":"2024-12-19","cited_by_count":35},{"id":"2402.07635","title":"Collaborative Semantic Occupancy Prediction with Hybrid Feature Fusion in Connected Automated Vehicles","created":"2024-02-12","cited_by_count":33},{"id":"2011.08436","title":"Shared Cross-Modal Trajectory Prediction for Autonomous Driving","created":"2020-11-15","cited_by_count":31},{"id":"2503.14607","title":"Can Large Vision Language Models Read Maps Like a Human?","created":"2025-03-18","cited_by_count":30},{"id":"2405.02595","title":"Vision-based 3D occupancy prediction in autonomous driving: a review and outlook","created":"2024-05-04","cited_by_count":29},{"id":"2502.13146","title":"Re-Align: Aligning Vision Language Models via Retrieval-Augmented Direct Preference Optimization","created":"2025-02-18","cited_by_count":29},{"id":"2403.17916","title":"CMP: Cooperative Motion Prediction with Multi-Agent Communication","created":"2024-03-26","cited_by_count":25},{"id":"2407.07587","title":"Let Occ Flow: Self-Supervised 3D Occupancy Flow Prediction","created":"2024-07-10","cited_by_count":24},{"id":"2409.13430","title":"CVT-Occ: Cost Volume Temporal Fusion for 3D Occupancy Prediction","created":"2024-09-20","cited_by_count":24},{"id":"2007.04537","title":"Point Set Voting for Partial Point Cloud Analysis","created":"2020-07-09","cited_by_count":22},{"id":"2401.12275","title":"Multi-Agent Dynamic Relational Reasoning for Social Robot Navigation","created":"2024-01-22","cited_by_count":20},{"id":"2109.14128","title":"Grouptron: Dynamic Multi-Scale Graph Convolutional Networks for Group-Aware Dense Crowd Trajectory Forecasting","created":"2021-09-29","cited_by_count":19},{"id":"2209.13172","title":"Dynamics-Aware Spatiotemporal Occupancy Prediction in Urban Environments","created":"2022-09-27","cited_by_count":17},{"id":"2106.13052","title":"Autonomous Driving Strategies at Intersections: Scenarios, State-of-the-Art, and Future Outlooks","created":"2021-06-24","cited_by_count":15},{"id":"2208.10660","title":"Interaction Modeling with Multiplex Attention","created":"2022-08-23","cited_by_count":14},{"id":"2309.13893","title":"Scene Informer: Anchor-based Occlusion Inference and Trajectory Prediction in Partially Observable Environments","created":"2023-09-25","cited_by_count":14},{"id":"2306.01075","title":"Pedestrian Crossing Action Recognition and Trajectory Prediction with 3D Human Keypoints","created":"2023-06-01","cited_by_count":12},{"id":"2403.06041","title":"MATRIX: Multi-Agent Trajectory Generation with Diverse Contexts","created":"2024-03-09","cited_by_count":9},{"id":"2409.10699","title":"CoMamba: Real-time Cooperative Perception Unlocked with State Space Models","created":"2024-09-16","cited_by_count":9},{"id":"2208.00394","title":"STrajNet: Multi-modal Hierarchical Transformer for Occupancy Flow Field Prediction in Autonomous Driving","created":"2022-07-31","cited_by_count":8},{"id":"2502.05147","title":"LP-DETR: Layer-wise Progressive Relations for Object Detection","created":"2025-02-07","cited_by_count":8},{"id":"2310.17540","title":"EqDrive: Efficient Equivariant Motion Forecasting with Multi-Modality for Autonomous Driving","created":"2023-10-26","cited_by_count":7},{"id":"2401.03599","title":"Disentangled Neural Relational Inference for Interpretable Motion Prediction","created":"2024-01-07","cited_by_count":7},{"id":"2407.09475","title":"Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization of Motion Forecasting","created":"2024-07-12","cited_by_count":7},{"id":"2407.21126","title":"Self-supervised Multi-future Occupancy Forecasting for Autonomous Driving","created":"2024-07-30","cited_by_count":7},{"id":"2310.13922","title":"Equivariant Map and Agent Geometry for Autonomous Driving Motion Prediction","created":"2023-10-21","cited_by_count":6},{"id":"2310.01723","title":"Predicting Future Spatiotemporal Occupancy Grids with Semantics for Autonomous Driving","created":"2023-10-03","cited_by_count":5},{"id":"2311.01065","title":"Novel View Synthesis from a Single RGBD Image for Indoor Scenes","created":"2023-11-02","cited_by_count":4}],"next_cursor":null}