{"total":31,"rows":[{"id":"2103.14107","title":"Stepwise Goal-Driven Networks for Trajectory Prediction","created":"2021-03-25","cited_by_count":62,"area":null},{"id":"2107.08031","title":"Is attention to bounding boxes all you need for pedestrian action prediction?","created":"2021-07-16","cited_by_count":21,"area":null},{"id":"2112.02604","title":"PSI: A Benchmark for Human Interpretation and Response in Traffic Interactions","created":"2021-12-05","cited_by_count":17,"area":null},{"id":"2105.04133","title":"Coupling Intent and Action for Pedestrian Crossing Behavior Prediction","created":"2021-05-10","cited_by_count":14,"area":null},{"id":"2304.14271","title":"A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Services","created":"2023-04-13","cited_by_count":14,"area":null},{"id":"2306.01220","title":"Do Large Language Models Pay Similar Attention Like Human Programmers When Generating Code?","created":"2023-06-02","cited_by_count":14,"area":null},{"id":"2306.01075","title":"Pedestrian Crossing Action Recognition and Trajectory Prediction with 3D Human Keypoints","created":"2023-06-01","cited_by_count":12,"area":null},{"id":"2109.02173","title":"Multi-Agent Variational Occlusion Inference Using People as Sensors","created":"2021-09-05","cited_by_count":10,"area":null},{"id":"2410.14045","title":"Human Action Anticipation: A Survey","created":"2024-10-17","cited_by_count":9,"area":null},{"id":"2107.05140","title":"Review of Video Predictive Understanding: Early Action Recognition and Future Action Prediction","created":"2021-07-11","cited_by_count":5,"area":null},{"id":"2203.02489","title":"Pedestrian Stop and Go Forecasting with Hybrid Feature Fusion","created":"2022-03-04","cited_by_count":5,"area":null},{"id":"2307.03786","title":"Context-aware Pedestrian Trajectory Prediction with Multimodal Transformer","created":"2023-07-07","cited_by_count":4,"area":null},{"id":"2307.06165","title":"The IMPTC Dataset: An Infrastructural Multi-Person Trajectory and Context Dataset","created":"2023-07-12","cited_by_count":3,"area":null},{"id":"2407.17162","title":"Context-aware Multi-task Learning for Pedestrian Intent and Trajectory Prediction","created":"2024-07-24","cited_by_count":3,"area":null},{"id":"2306.16784","title":"A Survey on Datasets for Decision-making of Autonomous Vehicle","created":"2023-06-29","cited_by_count":2,"area":null},{"id":"2312.07606","title":"Pedestrian and Passenger Interaction with Autonomous Vehicles: Field Study in a Crosswalk Scenario","created":"2023-12-11","cited_by_count":2,"area":null},{"id":"2507.12463","title":"MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding","created":"2025-07-16","cited_by_count":2,"area":null},{"id":"2601.01989","title":"VIT-Ped: Visionary Intention Transformer for Pedestrian Behavior Analysis","created":"2026-01-05","cited_by_count":2,"area":null},{"id":"2202.13981","title":"\"If you could see me through my eyes\": Predicting Pedestrian Perception","created":"2022-02-28","cited_by_count":1,"area":null},{"id":"2306.03538","title":"SDR-GAIN: A High Real-Time Occluded Pedestrian Pose Completion Method for Autonomous Driving","created":"2023-06-06","cited_by_count":1,"area":null},{"id":"2411.01683","title":"ROAD-Waymo: A Large-Scale Action Awareness Dataset for Autonomous Driving","created":"2024-11-03","cited_by_count":1,"area":null},{"id":"2604.01044","title":"A global dataset of continuous urban dashcam driving","created":"2026-04-01","cited_by_count":1,"area":null},{"id":"2103.14113","title":"GPRAR: Graph Convolutional Network based Pose Reconstruction and Action Recognition for Human Trajectory Prediction","created":"2021-03-25","cited_by_count":0,"area":null},{"id":"2301.05796","title":"Learning Trajectory-Conditioned Relations to Predict Pedestrian Crossing Behavior","created":"2023-01-14","cited_by_count":0,"area":null},{"id":"2312.14869","title":"Spatiotemporal-Linear: Towards Universal Multivariate Time Series Forecasting","created":"2023-12-22","cited_by_count":0,"area":null},{"id":"2406.18050","title":"A Multi-Stage Goal-Driven Network for Pedestrian Trajectory Prediction","created":"2024-06-26","cited_by_count":0,"area":null},{"id":"2502.19260","title":"EMT: A Visual Multi-Task Benchmark Dataset for Autonomous Driving","created":"2025-02-26","cited_by_count":0,"area":null},{"id":"2604.25887","title":"No Pedestrian Left Behind: Real-Time Detection and Tracking of Vulnerable Road Users for Adaptive Traffic Signal Control","created":"2026-04-28","cited_by_count":0,"area":null},{"id":"2606.18824","title":"Where Will They Go? Modelling Multimodal Pedestrian Manoeuvres from Ego-centric Videos","created":"2026-06-17","cited_by_count":0,"area":null},{"id":"2609.00503","title":"Wave Function Backpropagation with Explicit Temporal-Interval Dynamics","created":"2026-09-01","cited_by_count":0,"area":null},{"id":"2610.18176","title":"Neuro-Symbolic Graph Transformers for Hierarchical Intention Recognition from Multimodal Human Activity Sequences","created":"2026-10-13","cited_by_count":0,"area":null}],"next_cursor":null}