{"total":41,"rows":[{"id":"2305.04925","title":"PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds","created":"2023-05-08","cited_by_count":54,"area":null},{"id":"2404.06351","title":"HPNet: Dynamic Trajectory Forecasting with Historical Prediction Attention","created":"2024-04-09","cited_by_count":38,"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":"2309.15289","title":"SEPT: Towards Efficient Scene Representation Learning for Motion Prediction","created":"2023-09-26","cited_by_count":27,"area":null},{"id":"2309.09975","title":"GEDepth: Ground Embedding for Monocular Depth Estimation","created":"2023-09-18","cited_by_count":26,"area":null},{"id":"2311.00371","title":"Learning Cooperative Trajectory Representations for Motion Forecasting","created":"2023-11-01","cited_by_count":21,"area":null},{"id":"2410.06007","title":"Motion Forecasting in Continuous Driving","created":"2024-10-08","cited_by_count":11,"area":null},{"id":"2409.16154","title":"Efficient Motion Prediction: A Lightweight & Accurate Trajectory Prediction Model With Fast Training and Inference Speed","created":"2024-09-24","cited_by_count":10,"area":null},{"id":"2403.05489","title":"JointMotion: Joint Self-Supervision for Joint Motion Prediction","created":"2024-03-08","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":"2506.06854","title":"DONUT: A Decoder-Only Model for Trajectory Prediction","created":"2025-06-07","cited_by_count":7,"area":null},{"id":"2306.10840","title":"RedMotion: Motion Prediction via Redundancy Reduction","created":"2023-06-19","cited_by_count":6,"area":null},{"id":"2309.03750","title":"PBP: Path-based Trajectory Prediction for Autonomous Driving","created":"2023-09-07","cited_by_count":6,"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":"2407.18551","title":"Multi-Agent Trajectory Prediction with Difficulty-Guided Feature Enhancement Network","created":"2024-07-26","cited_by_count":6,"area":null},{"id":"2508.07089","title":"ForeSight: Multi-View Streaming Joint Object Detection and Trajectory Forecasting","created":"2025-08-09","cited_by_count":5,"area":null},{"id":"2403.18969","title":"A Survey on Large Language Models from Concept to Implementation","created":"2024-03-27","cited_by_count":4,"area":null},{"id":"2408.01537","title":"SceneMotion: From Agent-Centric Embeddings to Scene-Wide Forecasts","created":"2024-08-02","cited_by_count":4,"area":null},{"id":"2409.06827","title":"Cross-Modal Self-Supervised Learning with Effective Contrastive Units for LiDAR Point Clouds","created":"2024-09-10","cited_by_count":4,"area":null},{"id":"2402.03981","title":"Controllable Diverse Sampling for Diffusion Based Motion Behavior Forecasting","created":"2024-02-06","cited_by_count":3,"area":null},{"id":"2403.16374","title":"ProIn: Learning to Predict Trajectory Based on Progressive Interactions for Autonomous Driving","created":"2024-03-25","cited_by_count":3,"area":null},{"id":"2407.19564","title":"Forecast-PEFT: Parameter-Efficient Fine-Tuning for Pre-trained Motion Forecasting Models","created":"2024-07-28","cited_by_count":3,"area":null},{"id":"2409.01971","title":"Snapshot: Towards Application-centered Models for Pedestrian Trajectory Prediction in Urban Traffic Environments","created":"2024-09-03","cited_by_count":3,"area":null},{"id":"2506.17457","title":"When Every Millisecond Counts: Real-Time Anomaly Detection via the Multimodal Asynchronous Hybrid Network","created":"2025-06-20","cited_by_count":3,"area":null},{"id":"2412.07369","title":"ITPNet: Towards Instantaneous Trajectory Prediction for Autonomous Driving","created":"2024-12-10","cited_by_count":2,"area":null},{"id":"2504.05356","title":"DyTTP: Trajectory Prediction with Normalization-Free Transformers","created":"2025-04-07","cited_by_count":2,"area":null},{"id":"2505.23612","title":"Autoregressive Meta-Actions for Unified Controllable Trajectory Generation","created":"2025-05-29","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":"2404.10263","title":"PreGSU-A Generalized Traffic Scene Understanding Model for Autonomous Driving based on Pre-trained Graph Attention Network","created":"2024-04-16","cited_by_count":1,"area":null},{"id":"2410.19606","title":"Multi-modal Motion Prediction using Temporal Ensembling with Learning-based Aggregation","created":"2024-10-25","cited_by_count":1,"area":null},{"id":"2503.09366","title":"Post-interactive Multimodal Trajectory Prediction for Autonomous Driving","created":"2025-03-12","cited_by_count":1,"area":null},{"id":"2602.17231","title":"HiMAP: History-aware Map-occupancy Prediction with Fallback","created":"2026-02-19","cited_by_count":1,"area":null},{"id":"2603.01864","title":"Streaming Real-Time Trajectory Prediction Using Endpoint-Aware Modeling","created":"2026-03-02","cited_by_count":1,"area":null},{"id":"2507.04634","title":"LTMSformer: A Local Trend-Aware Attention and Motion State Encoding Transformer for Multi-Agent Trajectory Prediction","created":"2025-07-07","cited_by_count":0,"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":"2603.06231","title":"TaPD: Temporal-adaptive Progressive Distillation for Observation-Adaptive Trajectory Forecasting in Autonomous Driving","created":"2026-03-06","cited_by_count":0,"area":null},{"id":"2603.20232","title":"Fusing Driver Perceived and Physical Risk for Safety Critical Scenario Screening in Autonomous Driving","created":"2026-03-07","cited_by_count":0,"area":null},{"id":"2603.28091","title":"SHARP: Short-Window Streaming for Accurate and Robust Prediction in Motion Forecasting","created":"2026-03-30","cited_by_count":0,"area":null},{"id":"2605.01393","title":"Recall to Predict: Grounding Motion Forecasting in Interpretable Motion Bank","created":"2026-05-02","cited_by_count":0,"area":null},{"id":"2610.06210","title":"MoCAR: Motion-code Coordinate-aware AutoRegression for Continuous Trajectory Forecasting","created":"2026-10-05","cited_by_count":0,"area":null}],"next_cursor":null}