{"total":310,"rows":[{"id":"2104.10133","title":"Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset","created":"2021-04-20","cited_by_count":537,"area":null},{"id":"2103.14023","title":"AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting","created":"2021-03-25","cited_by_count":331,"area":null},{"id":"2108.09640","title":"DenseTNT: End-to-end Trajectory Prediction from Dense Goal Sets","created":"2021-08-22","cited_by_count":295,"area":null},{"id":"2306.08637","title":"TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement","created":"2023-06-14","cited_by_count":287,"area":null},{"id":"2207.05844","title":"Wayformer: Motion Forecasting via Simple & Efficient Attention Networks","created":"2022-07-12","cited_by_count":280,"area":"wm"},{"id":"2111.14973","title":"MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction","created":"2021-11-29","cited_by_count":246,"area":null},{"id":"2104.10490","title":"FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular Cameras","created":"2021-04-21","cited_by_count":239,"area":null},{"id":"2103.11624","title":"Multimodal Motion Prediction with Stacked Transformers","created":"2021-03-22","cited_by_count":208,"area":null},{"id":"2205.09743","title":"BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving","created":"2022-05-19","cited_by_count":191,"area":null},{"id":"2203.13777","title":"Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion","created":"2022-03-25","cited_by_count":185,"area":null},{"id":"2106.08417","title":"Scene Transformer: A unified architecture for predicting multiple agent trajectories","created":"2021-06-15","cited_by_count":165,"area":"wm"},{"id":"2101.07907","title":"IntentNet: Learning to Predict Intention from Raw Sensor Data","created":"2021-01-20","cited_by_count":158,"area":null},{"id":"2309.16534","title":"MotionLM: Multi-Agent Motion Forecasting as Language Modeling","created":"2023-09-28","cited_by_count":156,"area":"agents"},{"id":"2210.07729","title":"Model-Based Imitation Learning for Urban Driving","created":"2022-10-14","cited_by_count":150,"area":"driving"},{"id":"2109.01827","title":"GOHOME: Graph-Oriented Heatmap Output for future Motion Estimation","created":"2021-09-04","cited_by_count":146,"area":null},{"id":"2304.01893","title":"Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion","created":"2023-04-04","cited_by_count":138,"area":"diffusion"},{"id":"2203.11934","title":"Learning from All Vehicles","created":"2022-03-22","cited_by_count":135,"area":"driving"},{"id":"2104.00563","title":"Latent Variable Sequential Set Transformers For Joint Multi-Agent Motion Prediction","created":"2021-02-19","cited_by_count":131,"area":null},{"id":"2204.08770","title":"GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational Reasoning","created":"2022-04-19","cited_by_count":128,"area":null},{"id":"2105.10968","title":"HOME: Heatmap Output for future Motion Estimation","created":"2021-05-23","cited_by_count":122,"area":null},{"id":"2208.01582","title":"ViP3D: End-to-end Visual Trajectory Prediction via 3D Agent Queries","created":"2022-08-02","cited_by_count":117,"area":null},{"id":"2101.06653","title":"LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting","created":"2021-01-17","cited_by_count":113,"area":null},{"id":"2106.15004","title":"Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals","created":"2021-06-28","cited_by_count":113,"area":null},{"id":"2205.09753","title":"HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding","created":"2022-04-30","cited_by_count":110,"area":null},{"id":"2107.07455","title":"Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks","created":"2021-07-15","cited_by_count":101,"area":null},{"id":"2110.06607","title":"THOMAS: Trajectory Heatmap Output with learned Multi-Agent Sampling","created":"2021-10-13","cited_by_count":101,"area":null},{"id":"2303.10876","title":"EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning","created":"2023-03-20","cited_by_count":97,"area":null},{"id":"2203.11474","title":"Remember Intentions: Retrospective-Memory-based Trajectory Prediction","created":"2022-03-22","cited_by_count":86,"area":null},{"id":"2306.09700","title":"End-to-End Vectorized HD-map Construction with Piecewise Bezier Curve","created":"2023-06-16","cited_by_count":82,"area":null},{"id":"2202.11884","title":"M2I: From Factored Marginal Trajectory Prediction to Interactive Prediction","created":"2022-02-24","cited_by_count":81,"area":null},{"id":"2302.03665","title":"HumanMAC: Masked Motion Completion for Human Motion Prediction","created":"2023-02-07","cited_by_count":81,"area":null},{"id":"2101.05307","title":"Explainability of deep vision-based autonomous driving systems: Review and challenges","created":"2021-01-13","cited_by_count":80,"area":null},{"id":"2208.12403","title":"BITS: Bi-level Imitation for Traffic Simulation","created":"2022-08-26","cited_by_count":80,"area":null},{"id":"2105.12332","title":"SimNet: Learning Reactive Self-driving Simulations from Real-world Observations","created":"2021-05-26","cited_by_count":77,"area":"driving"},{"id":"2104.00249","title":"LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents","created":"2021-04-01","cited_by_count":64,"area":null},{"id":"2206.13387","title":"ScePT: Scene-consistent, Policy-based Trajectory Predictions for Planning","created":"2022-06-18","cited_by_count":64,"area":null},{"id":"2103.04027","title":"Learning to Predict Vehicle Trajectories with Model-based Planning","created":"2021-03-06","cited_by_count":63,"area":null},{"id":"2111.12073","title":"Multi-Person 3D Motion Prediction with Multi-Range Transformers","created":"2021-11-23","cited_by_count":63,"area":null},{"id":"2103.14107","title":"Stepwise Goal-Driven Networks for Trajectory Prediction","created":"2021-03-25","cited_by_count":62,"area":null},{"id":"2108.09274","title":"MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction","created":"2021-08-20","cited_by_count":61,"area":null},{"id":"2205.03195","title":"Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation","created":"2022-05-06","cited_by_count":61,"area":null},{"id":"2104.03086","title":"Trajectory Prediction with Latent Belief Energy-Based Model","created":"2021-04-07","cited_by_count":60,"area":null},{"id":"2201.07189","title":"MUSE-VAE: Multi-Scale VAE for Environment-Aware Long Term Trajectory Prediction","created":"2022-01-18","cited_by_count":59,"area":null},{"id":"2108.08236","title":"LOKI: Long Term and Key Intentions for Trajectory Prediction","created":"2021-08-18","cited_by_count":57,"area":null},{"id":"2303.04116","title":"TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction","created":"2023-03-07","cited_by_count":56,"area":"wm"},{"id":"2302.13933","title":"LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints","created":"2023-02-27","cited_by_count":53,"area":null},{"id":"2104.04029","title":"TRiPOD: Human Trajectory and Pose Dynamics Forecasting in the Wild","created":"2021-04-08","cited_by_count":52,"area":null},{"id":"2209.09723","title":"GANet: Goal Area Network for Motion Forecasting","created":"2022-09-20","cited_by_count":49,"area":null},{"id":"2103.12474","title":"On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors","created":"2021-03-23","cited_by_count":48,"area":null},{"id":"2305.14715","title":"Leveraging Future Relationship Reasoning for Vehicle Trajectory Prediction","created":"2023-05-24","cited_by_count":48,"area":null},{"id":"2103.07854","title":"Three Steps to Multimodal Trajectory Prediction: Modality Clustering, Classification and Synthesis","created":"2021-03-14","cited_by_count":46,"area":null},{"id":"2203.13471","title":"Non-Probability Sampling Network for Stochastic Human Trajectory Prediction","created":"2022-03-25","cited_by_count":46,"area":null},{"id":"2110.07288","title":"View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums","created":"2021-10-14","cited_by_count":45,"area":null},{"id":"2105.03136","title":"Interpretable Social Anchors for Human Trajectory Forecasting in Crowds","created":"2021-05-07","cited_by_count":44,"area":null},{"id":"2207.09953","title":"Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction","created":"2022-07-20","cited_by_count":44,"area":null},{"id":"2107.14202","title":"Human Trajectory Prediction via Counterfactual Analysis","created":"2021-07-29","cited_by_count":42,"area":null},{"id":"2307.09306","title":"EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecasting","created":"2023-07-18","cited_by_count":41,"area":null},{"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":"2212.08710","title":"JFP: Joint Future Prediction with Interactive Multi-Agent Modeling for Autonomous Driving","created":"2022-12-16","cited_by_count":40,"area":"driving"},{"id":"2112.03909","title":"Vehicle trajectory prediction works, but not everywhere","created":"2021-12-07","cited_by_count":39,"area":null},{"id":"2104.08277","title":"Divide-and-Conquer for Lane-Aware Diverse Trajectory Prediction","created":"2021-04-16","cited_by_count":37,"area":null},{"id":"2106.02930","title":"Spectral Temporal Graph Neural Network for Trajectory Prediction","created":"2021-06-05","cited_by_count":36,"area":null},{"id":"2108.01316","title":"RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting","created":"2021-08-03","cited_by_count":36,"area":null},{"id":"2102.09117","title":"Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking","created":"2021-02-18","cited_by_count":35,"area":null},{"id":"2403.18452","title":"SingularTrajectory: Universal Trajectory Predictor Using Diffusion Model","created":"2024-03-27","cited_by_count":35,"area":"diffusion"},{"id":"2104.07830","title":"Pylot: A Modular Platform for Exploring Latency-Accuracy Tradeoffs in Autonomous Vehicles","created":"2021-04-16","cited_by_count":33,"area":"driving"},{"id":"2310.12970","title":"Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding","created":"2023-10-19","cited_by_count":33,"area":"wm"},{"id":"2104.11212","title":"Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation","created":"2021-04-22","cited_by_count":32,"area":null},{"id":"2403.18447","title":"Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory Prediction","created":"2024-03-27","cited_by_count":31,"area":null},{"id":"2107.08142","title":"Autonomy 2.0: Why is self-driving always 5 years away?","created":"2021-07-16","cited_by_count":30,"area":"driving"},{"id":"2107.14204","title":"Personalized Trajectory Prediction via Distribution Discrimination","created":"2021-07-29","cited_by_count":30,"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":"2211.00385","title":"Behavioral Intention Prediction in Driving Scenes: A Survey","created":"2022-11-01","cited_by_count":30,"area":null},{"id":"2109.11094","title":"PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for Planning, Control, and Simulation","created":"2021-09-23","cited_by_count":29,"area":null},{"id":"2308.05731","title":"The Integration of Prediction and Planning in Deep Learning Automated Driving Systems: A Review","created":"2023-08-10","cited_by_count":29,"area":null},{"id":"2203.16297","title":"Forecasting from LiDAR via Future Object Detection","created":"2022-03-30","cited_by_count":28,"area":null},{"id":"2206.13114","title":"Dynamic-Group-Aware Networks for Multi-Agent Trajectory Prediction with Relational Reasoning","created":"2022-06-27","cited_by_count":28,"area":null},{"id":"2304.03834","title":"WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion Forecasting","created":"2023-04-07","cited_by_count":28,"area":null},{"id":"2306.05421","title":"Stochastic Multi-Person 3D Motion Forecasting","created":"2023-06-08","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":"2312.08983","title":"Interactive Humanoid: Online Full-Body Motion Reaction Synthesis with Social Affordance Canonicalization and Forecasting","created":"2023-12-14","cited_by_count":27,"area":null},{"id":"2203.12446","title":"SMEMO: Social Memory for Trajectory Forecasting","created":"2022-03-23","cited_by_count":26,"area":null},{"id":"2209.07857","title":"GATraj: A Graph- and Attention-based Multi-Agent Trajectory Prediction Model","created":"2022-09-16","cited_by_count":26,"area":null},{"id":"1811.03516","title":"Learning from Demonstration in the Wild","created":"2018-11-08","cited_by_count":25,"area":"offlinerl"},{"id":"2211.08609","title":"R-Pred: Two-Stage Motion Prediction Via Tube-Query Attention-Based Trajectory Refinement","created":"2022-11-16","cited_by_count":24,"area":null},{"id":"2106.13364","title":"CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning","created":"2021-06-25","cited_by_count":23,"area":null},{"id":"2110.05304","title":"You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction","created":"2021-10-11","cited_by_count":23,"area":null},{"id":"2203.16910","title":"End-to-End Trajectory Distribution Prediction Based on Occupancy Grid Maps","created":"2022-03-31","cited_by_count":22,"area":null},{"id":"2103.03614","title":"FloMo: Tractable Motion Prediction with Normalizing Flows","created":"2021-03-05","cited_by_count":21,"area":null},{"id":"2103.13726","title":"Variational Autoencoder-Based Vehicle Trajectory Prediction with an Interpretable Latent Space","created":"2021-03-25","cited_by_count":21,"area":null},{"id":"2206.02163","title":"MotionCNN: A Strong Baseline for Motion Prediction in Autonomous Driving","created":"2022-06-05","cited_by_count":21,"area":null},{"id":"2305.12554","title":"CoMusion: Towards Consistent Stochastic Human Motion Prediction via Motion Diffusion","created":"2023-05-21","cited_by_count":21,"area":null},{"id":"2311.00371","title":"Learning Cooperative Trajectory Representations for Motion Forecasting","created":"2023-11-01","cited_by_count":21,"area":null},{"id":"2407.21635","title":"MART: MultiscAle Relational Transformer Networks for Multi-agent Trajectory Prediction","created":"2024-07-31","cited_by_count":21,"area":null},{"id":"2101.06832","title":"Deep Structured Reactive Planning","created":"2021-01-18","cited_by_count":19,"area":null},{"id":"2107.00932","title":"MSN: Multi-Style Network for Trajectory Prediction","created":"2021-07-02","cited_by_count":19,"area":null},{"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,"area":null},{"id":"2111.01592","title":"Trajectory Prediction with Graph-based Dual-scale Context Fusion","created":"2021-11-02","cited_by_count":19,"area":null},{"id":"2112.02459","title":"SSAGCN: Social Soft Attention Graph Convolution Network for Pedestrian Trajectory Prediction","created":"2021-12-05","cited_by_count":19,"area":null},{"id":"2203.01880","title":"LatentFormer: Multi-Agent Transformer-Based Interaction Modeling and Trajectory Prediction","created":"2022-03-03","cited_by_count":19,"area":null}],"next_cursor":"100"}