{"total":22,"rows":[{"id":"2209.09723","title":"GANet: Goal Area Network for Motion Forecasting","created":"2022-09-20","cited_by_count":49,"area":null},{"id":"2303.12071","title":"ProphNet: Efficient Agent-Centric Motion Forecasting with Anchor-Informed Proposals","created":"2023-03-21","cited_by_count":48,"area":null},{"id":"2403.11492","title":"SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion Prediction","created":"2024-03-18","cited_by_count":34,"area":null},{"id":"2206.14116","title":"SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving","created":"2022-06-28","cited_by_count":32,"area":null},{"id":"2404.05218","title":"Multi-agent Long-term 3D Human Pose Forecasting via Interaction-aware Trajectory Conditioning","created":"2024-04-08","cited_by_count":30,"area":null},{"id":"2303.04364","title":"Dynamic Scenario Representation Learning for Motion Forecasting with Heterogeneous Graph Convolutional Recurrent Networks","created":"2023-03-08","cited_by_count":28,"area":null},{"id":"2309.15289","title":"SEPT: Towards Efficient Scene Representation Learning for Motion Prediction","created":"2023-09-26","cited_by_count":27,"area":null},{"id":"2306.15136","title":"What Truly Matters in Trajectory Prediction for Autonomous Driving?","created":"2023-06-27","cited_by_count":17,"area":null},{"id":"2306.03367","title":"Bridging the Gap Between Multi-Step and One-Shot Trajectory Prediction via Self-Supervision","created":"2023-06-06","cited_by_count":7,"area":null},{"id":"2410.08669","title":"SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion Prediction","created":"2024-10-11","cited_by_count":7,"area":null},{"id":"2406.14422","title":"FutureNet-LOF: Joint Trajectory Prediction and Lane Occupancy Field Prediction with Future Context Encoding","created":"2024-06-20","cited_by_count":6,"area":null},{"id":"2403.13261","title":"Self-Supervised Class-Agnostic Motion Prediction with Spatial and Temporal Consistency Regularizations","created":"2024-03-20","cited_by_count":5,"area":null},{"id":"2305.08190","title":"TSGN: Temporal Scene Graph Neural Networks with Projected Vectorized Representation for Multi-Agent Motion Prediction","created":"2023-05-14","cited_by_count":2,"area":null},{"id":"2408.08202","title":"Towards Practical Human Motion Prediction with LiDAR Point Clouds","created":"2024-08-15","cited_by_count":2,"area":null},{"id":"2603.10597","title":"Recover to Predict: Progressive Retrospective Learning for Variable-Length Trajectory Prediction","created":"2026-03-11","cited_by_count":2,"area":null},{"id":"2211.00149","title":"Improving Motion Forecasting for Autonomous Driving with the Cycle Consistency Loss","created":"2022-10-31","cited_by_count":1,"area":null},{"id":"2309.17338","title":"Improving Trajectory Prediction in Dynamic Multi-Agent Environment by Dropping Waypoints","created":"2023-09-29","cited_by_count":1,"area":null},{"id":"2312.09466","title":"Enhancing Trajectory Prediction through Self-Supervised Waypoint Noise Prediction","created":"2023-11-26","cited_by_count":1,"area":null},{"id":"2507.06531","title":"ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture","created":"2025-07-09","cited_by_count":0,"area":null},{"id":"2509.13914","title":"Ensemble of Pre-Trained Models for Long-Tailed Trajectory Prediction","created":"2025-09-17","cited_by_count":0,"area":null},{"id":"2511.17941","title":"V2X-RECT: An Efficient V2X Trajectory Prediction Framework via Redundant Interaction Filtering and Tracking Error Correction","created":"2025-11-22","cited_by_count":0,"area":null},{"id":"2608.03521","title":"Pivot-Centric Trajectory Prediction: Bridging Long Horizons via Dynamical Guidance","created":"2026-08-04","cited_by_count":0,"area":null}],"next_cursor":null}