{"total":28,"rows":[{"id":"2203.03057","title":"Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation","created":"2022-03-06","cited_by_count":40,"area":null},{"id":"2312.16168","title":"Social-Transmotion: Promptable Human Trajectory Prediction","created":"2023-12-26","cited_by_count":33,"area":null},{"id":"2111.06740","title":"Review of Pedestrian Trajectory Prediction Methods: Comparing Deep Learning and Knowledge-based Approaches","created":"2021-11-11","cited_by_count":30,"area":null},{"id":"2310.05370","title":"SocialCircle: Learning the Angle-based Social Interaction Representation for Pedestrian Trajectory Prediction","created":"2023-10-09","cited_by_count":27,"area":null},{"id":"2402.10011","title":"Clifford Group Equivariant Simplicial Message Passing Networks","created":"2024-02-15","cited_by_count":22,"area":null},{"id":"2411.02673","title":"Multi-Transmotion: Pre-trained Model for Human Motion Prediction","created":"2024-11-04","cited_by_count":21,"area":null},{"id":"2503.18589","title":"Unified Uncertainty-Aware Diffusion for Multi-Agent Trajectory Modeling","created":"2025-03-24","cited_by_count":15,"area":null},{"id":"2304.05106","title":"Another Vertical View: A Hierarchical Network for Heterogeneous Trajectory Prediction via Spectrums","created":"2023-04-11","cited_by_count":14,"area":null},{"id":"2503.03262","title":"Trajectory Prediction for Autonomous Driving: Progress, Limitations, and Future Directions","created":"2025-03-05","cited_by_count":14,"area":null},{"id":"2311.12943","title":"InteRACT: Transformer Models for Human Intent Prediction Conditioned on Robot Actions","created":"2023-11-21","cited_by_count":11,"area":null},{"id":"2410.17785","title":"TranSPORTmer: A Holistic Approach to Trajectory Understanding in Multi-Agent Sports","created":"2024-10-23","cited_by_count":11,"area":null},{"id":"2502.14676","title":"BP-SGCN: Behavioral Pseudo-Label Informed Sparse Graph Convolution Network for Pedestrian and Heterogeneous Trajectory Prediction","created":"2025-02-20","cited_by_count":9,"area":null},{"id":"2304.05758","title":"Best Practices for 2-Body Pose Forecasting","created":"2023-04-12","cited_by_count":8,"area":null},{"id":"2409.14984","title":"SocialCircle+: Learning the Angle-based Conditioned Interaction Representation for Pedestrian Trajectory Prediction","created":"2024-09-23","cited_by_count":7,"area":null},{"id":"2504.15616","title":"SocialMOIF: Multi-Order Intention Fusion for Pedestrian Trajectory Prediction","created":"2025-04-22","cited_by_count":7,"area":null},{"id":"2307.09065","title":"Learning Adaptive Neighborhoods for Graph Neural Networks","created":"2023-07-18","cited_by_count":6,"area":null},{"id":"2402.12238","title":"MGF: Mixed Gaussian Flow for Diverse Trajectory Prediction","created":"2024-02-19","cited_by_count":6,"area":null},{"id":"2104.09369","title":"Adversarial Diffusion Attacks on Graph-based Traffic Prediction Models","created":"2021-04-19","cited_by_count":5,"area":null},{"id":"2310.13258","title":"ManiCast: Collaborative Manipulation with Cost-Aware Human Forecasting","created":"2023-10-20","cited_by_count":5,"area":null},{"id":"2507.22742","title":"Social-Pose: Enhancing Trajectory Prediction with Human Body Pose","created":"2025-07-30","cited_by_count":5,"area":null},{"id":"2108.01036","title":"Optimal Solving of Constrained Path-Planning Problems with Graph Convolutional Networks and Optimized Tree Search","created":"2021-08-02","cited_by_count":3,"area":null},{"id":"2311.18198","title":"Spatial-Temporal Conditional Random Field for Human Trajectory Prediction","created":"2023-11-30","cited_by_count":1,"area":null},{"id":"2412.04673","title":"Socially-Informed Reconstruction for Pedestrian Trajectory Forecasting","created":"2024-12-05","cited_by_count":1,"area":null},{"id":"2407.19428","title":"Reputation-Driven Asynchronous Federated Learning for Enhanced Trajectory Prediction with Blockchain","created":"2024-07-28","cited_by_count":0,"area":null},{"id":"2504.07645","title":"Prediction of Usage Probabilities of Shopping-Mall Corridors Using Heterogeneous Graph Neural Networks","created":"2025-04-10","cited_by_count":0,"area":null},{"id":"2602.12080","title":"PathCRF: Ball-Free Soccer Event Detection via Possession Path Inference from Player Trajectories","created":"2026-02-12","cited_by_count":0,"area":null},{"id":"2604.24514","title":"SceneSelect: Selective Learning for Trajectory Scene Classification and Expert Scheduling","created":"2026-04-27","cited_by_count":0,"area":null},{"id":"2609.29706","title":"Safety-oriented pedestrian trajectory prediction at urban intersections using time-to-collision and crossing-zone context","created":"2026-08-31","cited_by_count":0,"area":null}],"next_cursor":null}