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Trajectory/Motion Prediction Papers

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Collecting Recent Trajectory and Motion Prediction Papers. Keep Updating. If you find this repo useful, please ⭐️ star it and feel free to submit a pull request to contribute more papers!

My Homepage Feel Free to contact me for any potential collaboration with relevant topics of motion/trajectory prediction, generative models, graph neural networks, etc.

Email: xu.yi@northeastern.edu
Wechat: 578138534

Zhihu

📢 Latest Updates

📌 Jun 02, 2025: Added a new LLM-based trajectory prediction survey categorizing relevant papers and outlining future directions. Read it here.

Oct 30, 2025: Updated all NeurIPS 2025 paper links.
Sept 29, 2025: Added two NeurIPS 2025 papers.
Sept 01, 2025: Updated one arXiv 2025 paper.

Some Older Updates

Aug 11, 2025: Updated all ICML 2025 and ICCV 2025 paper links!
Jun 09, 2025: Updated all CVPR 2025 paper links!
Apr 16, 2025: Added a .yml file to auto update the badge!
Apr 15, 2025: Added ICLR 2025 and CVPR 2025 papers to the collection!

🔍 Featured Survey

LLM-based Trajectory Prediction (2025)

A curated survey that summarizes recent works using Large Language Models for trajectory prediction tasks. arXiv


📌 Paper Index by Conference & Year


📖 Full Paper List Starts Here

CVPR

CVPR 2025

CVPR 2025 All Papers List

  • Adapting to Observation Length of Trajectory Prediction via Contrastive Learning. Paper

  • Certified Human Trajectory Prediction. Paper arXiv

  • Enduring, Efficient and Robust Trajectory Prediction Attack in Autonomous Driving via Optimization-Driven Multi-Frame Perturbation Framework. Paper

  • Leveraging SD Map to Augment HD Map-based Trajectory Prediction. Paper

  • MoFlow: One-Step Flow Matching for Human Trajectory Forecasting via Implicit Maximum Likelihood Estimation Distillation. Paper arXiv Code Website

  • Multi-modal Knowledge Distillation-based Human Trajectory Forecasting. Paper arXiv Code

  • Physical Plausibility-aware Trajectory Prediction via Locomotion Embodiment. Paper arXiv

  • Sim-to-Real Causal Transfer: A Metric Learning Approach to Causally-Aware Interaction Representations. Paper arXiv

  • SocialMOIF:Multi-Order Intention Fusion for Pedestrian Trajectory Prediction. Paper arXiv

  • Trajectory-Mamba: An Efficient Attention-Mamba Forecasting Model Based on Selective SSM. Paper arXiv

  • Tra-MoE: Learning Trajectory Prediction Model from Multiple Domains for Adaptive Policy Conditioning. Paper arXiv

  • Towards Generalizable Trajectory Prediction using Dual-Level Representation Learning and Adaptive Prompting. Paper arXiv

  • Unified Uncertainty-Aware Diffusion for Multi-Agent Trajectory Modeling. Paper arXiv

CVPR 2024

CVPR 2024 All Papers List

  • Adapting to Length Shift: FlexiLength Network for Trajectory Prediction. arXiv

  • Adversarial Backdoor Attack by Naturalistic Data Poisoning on Trajectory Prediction in Autonomous Driving. arXiv

  • CaDeT: a Causal Disentanglement Approach for Robust Trajectory Prediction in Autonomous Driving. Paper

  • Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory Prediction. arXiv Code Website

  • Density-Adaptive Model Based on Motif Matrix for Multi-Agent Trajectory Prediction. Paper

  • Higher-order Relational Reasoning for Pedestrian Trajectory Prediction. Paper

  • HPNet: Dynamic Trajectory Forecasting with Historical Prediction Attention. arXiv Code

  • Human Motion Prediction under Unexpected Perturbation. Code

  • MoST: Multi-modality Scene Tokenization for Motion Prediction. arXiv

  • Producing and Leveraging Online Map Uncertainty in Trajectory Prediction. arXiv Code

  • Self-Supervised Class-Agnostic Motion Prediction with Spatial and Temporal Consistency Regularizations. arXiv Code

  • SingularTrajectory: Universal Trajectory Predictor using Diffusion Model. arXiv Website Code

  • SmartRefine: An Scenario-Adaptive Refinement Framework for Efficient Motion Prediction. arXiv Code

  • SocialCircle: Learning the Angle-based Social Interaction Representation for Pedestrian Trajectory Prediction. arXiv Code

  • T4P: Test-Time Training of Trajectory Prediction via Masked Autoencoder and Actor-specific Token Memory. arXiv

  • Multi-agent Long-term 3D Human Pose Forecasting via Interaction-aware Trajectory Conditioning. arXiv

CVPR 2023

CVPR 2023 All Papers List

  • Decompose More and Aggregate Better: Two Closer Looks at Frequency Representation Learning for Human Motion Prediction. Paper

  • DeFeeNet: Consecutive 3D Human Motion Prediction with Deviation Feedback. Paper arXiv

  • EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning. Paper arXiv Code

  • FEND: A Future Enhanced Distribution-Aware Contrastive Learning Framework for Long-tail Trajectory Prediction. Paper arXiv

  • FJMP: Factorized Joint Multi-Agent Motion Prediction over Learned Directed Acyclic Interaction Graphs. Paper arXiv Website Code

  • Improving Multi-Agent Motion Prediction with Heuristic Goals and Motion Refinement.(CVPR23 workshop) Paper Code

  • IPCC-TP: Utilizing Incremental Pearson Correlation Coefficient for Joint Multi-Agent Trajectory Prediction. Paper arXiv

  • Leapfrog Diffusion Model for Stochastic Trajectory Prediction. Paper arXiv Code

  • MotionDiffuser: Controllable Multi-Agent Motion Prediction using Diffusion. Paper

  • Planning-oriented Autonomous Driving. Paper arXiv Code Website

  • ProphNet: Efficient Agent-Centric Motion Forecasting with Anchor-Informed Proposals. Paper arXiv

  • Query-Centric Trajectory Prediction. Paper Code

  • Stimulus Verification is a Universal and Effective Sampler in Multi-modal Human Trajectory Prediction. Paper

  • Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion. Paper arXiv Website

  • Trajectory-Aware Body Interaction Transformer for Multi-Person Pose Forecasting. Paper arXiv Code

  • Uncovering the Missing Pattern: Unified Framework Towards Trajectory Imputation and Prediction. Paper arXiv Code

  • Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction. Paper arXiv Code

  • ViP3D: End-to-end Visual Trajectory Prediction via 3D Agent Queries. Paper arXiv Code Website

  • Weakly Supervised Class-agnostic Motion Prediction for Autonomous Driving. Paper

CVPR 2022

Trajectory Prediction Related

  • Adaptive Trajectory Prediction via Transferable GNN. arXiv Paper

  • ATPFL: Automatic Trajectory Prediction Model Design Under Federated Learning Framework. Paper

  • Convolutions for Spatial Interaction Modeling. arXiv Paper

  • End-to-End Trajectory Distribution Prediction Based on Occupancy Grid Maps. arXiv Paper Code

  • Forecasting from LiDAR via Future Object Detection. arXiv Paper Code

  • Graph-based Spatial Transformer with Memory Replay for Multi-future Pedestrian Trajectory Prediction. Paper Code

  • GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational Reasoning. arXiv Paper Code

  • How Many Observations are Enough? Knowledge Distillation for Trajectory Forecasting. arXiv Paper

  • LTP: Lane-Based Trajectory Prediction for Autonomous Driving. Paper

  • M2I: From Factored Marginal Trajectory Prediction to Interactive Prediction. arXiv Paper Code

  • Neural Prior for Trajectory Estimation. Paper Website

  • Non-Probability Sampling Network for Stochastic Human Trajectory Prediction. arXiv Paper Code

  • On Adversarial Robustness of Trajectory Prediction for Autonomous Vehicles. arXiv Paper Code

  • Remember Intentions: Retrospective-Memory-based Trajectory Prediction. arXiv Paper Code

  • ScePT: Scene-consistent, Policy-based Trajectory Predictions for Planning. Paper Code

  • Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion. arXiv Paper Code

  • Vehicle Trajectory Prediction Works, But Not Everywhere. arXiv Paper Code

  • Whose Track Is It Anyway? Improving Robustness to Tracking Errors With Affinity-Based Trajectory Prediction. Paper Code

  • Goal-driven Self-Attentive Recurrent Networks for Trajectory Prediction. (CVPR'22 Workshop Precognition: Seeing Through the Future) arXiv Paper

  • Importance Is in Your Attention: Agent Importance Prediction for Autonomous Driving. (CVPR'22 Workshop Precognition: Seeing Through the Future) arXiv Paper

  • TENET: Transformer Encoding Network for Effective Temporal Flow on Motion Prediction (CVPR'22 Workshop) arXiv

Motion Prediction Related

  • BE-STI: Spatial-Temporal Integrated Network for Class-Agnostic Motion Prediction With Bidirectional Enhancement. Paper Code

  • Forecasting Characteristic 3D Poses of Human Actions. arXiv Paper Code

  • HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction. Paper Code

  • Human Trajectory Prediction With Momentary Observation. Paper

  • MotionAug: Augmentation With Physical Correction for Human Motion Prediction. arXiv Paper Code

  • Motron: Multimodal Probabilistic Human Motion Forecasting. arXiv Paper Code

  • Multi-Objective Diverse Human Motion Prediction With Knowledge Distillation. Paper

  • Multi-Person Extreme Motion Prediction. arXiv Paper Code

  • Progressively Generating Better Initial Guesses Towards Next Stages for High-Quality Human Motion Prediction. arXiv Paper Code

  • Spatial-Temporal Gating-Adjacency GCN for Human Motion Prediction. arXiv Paper

  • Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective. arXiv Paper Code

  • Weakly-Supervised Action Transition Learning for Stochastic Human Motion Prediction. arXiv Paper Code

ICCV

ICCV 2025

ICCV 2025 All Papers List

  • AMD: Adaptive Momentum and Decoupled Contrastive Learning Framework for Robust Long-Tail Trajectory Prediction. arXiv

  • DONUT: A Decoder-Only Model for Trajectory Prediction. arXiv

  • Foresight in Motion: Reinforcing Trajectory Prediction with Reward Heuristics. arXiv

  • ForeSight: Multi-View Streaming Joint Object Detection and Trajectory Forecasting.

  • Generative Active Learning for Long-tail Trajectory Prediction via Controllable Diffusion Model. arXiv

  • NATRA: Noise-Agnostic Framework for Trajectory Prediction with Noisy Observations.

  • SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement. arXiv

  • TOTP: Transferable Online Pedestrian Trajectory Prediction with Temporal-Adaptive Mamba Latent Diffusion.

  • Unified Multi-Agent Trajectory Modeling with Masked Trajectory Diffusion.

ICCV 2023

ICCV 2023 All Papers List

  • ADAPT: Efficient Multi-Agent Trajectory Prediction with Adaptation. Paper arXiv Code Website

  • BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction. Paper arXiv Code Website

  • BiFF: Bi-level Future Fusion with Polyline-based Coordinate for Interactive Trajectory Prediction. Paper arXiv

  • Bootstrap Motion Forecasting With Self-Consistent Constraints. Paper

  • EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecasting. Paper arXiv Code Website

  • Fast Inference and Update of Probabilistic Density Estimation on Trajectory Prediction. Paper arXiv Code

  • Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked Autoencoders. Paper arXiv Code

  • GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving. Paper arXiv Code Website

  • HumanMAC: Masked Motion Completion for Human Motion Prediction. Paper arXiv Code Website

  • INT2: Interactive Trajectory Prediction at Intersections. Paper Code Website

  • InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion. Paper arXiv Code Website

  • Joint Metrics Matter: A Better Standard for Trajectory Forecasting. Paper arXiv

  • Learn TAROT with MENTOR: A Meta-Learned Self-Supervised Approach for Trajectory Prediction. Paper

  • MotionLM: Multi-Agent Motion Forecasting as Language Modeling. Paper

  • R-Pred: Two-Stage Motion Prediction Via Tube-Query Attention-Based Trajectory Refinement. Paper arXiv

  • Semi-supervised Semantics-guided Adversarial Training for Robust Trajectory Prediction. Paper arXiv

  • Sparse Instance Conditioned Multimodal Trajectory Prediction. Paper

  • Traj-MAE:Masked Autoencoders for Trajectory Prediction. Paper arXiv

  • Trajectory Unified Transformer for Pedestrian Trajectory Prediction. Paper Code

  • TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction Models. Paper arXiv

ECCV

ECCV 2024

  • Learning Semantic Latent Directions for Accurate and Controllable Human Motion Prediction. arXiv Code

  • MART: MultiscAle Relational Transformer Networks for Multi-agent Trajectory Prediction. arXiv Code

  • Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation. arXiv Project Code

  • Progressive Pretext Task Learning for Human Trajectory Prediction. arXiv Code

  • PPAD: Iterative Interactions of Prediction and Planning for End-to-end Autonomous Driving. arXiv Code

  • Scene-aware Human Motion Forecasting via Mutual Distance Prediction. arXiv Code

  • UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction. arXiv Code

ECCV 2022

ECCV 2022 All Paper List List

  • Action-based Contrastive Learning for Trajectory Prediction. arXiv

  • AdvDO: Realistic Adversarial Attacks for Trajectory Prediction. arXiv

  • Aware of the History: Trajectory Forecasting with the Local Behavior Data. arXiv Code

  • Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal Anchors arXiv Code Website

  • D2-TPred: Discontinuous Dependency for Trajectory Prediction under Traffic Lights. arXiv Code

  • Entry-Flipped Transformer for Inference and Prediction of Participant Behavior. arXiv

  • Hierarchical Latent Structure for Multi-Modal Vehicle Trajectory Forecasting. arXiv

  • Human Trajectory Prediction via Neural Social Physics. arXiv Code

  • Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction. arXiv Code Website

  • Overlooked Poses Actually Make Sense: Distilling Privileged Knowledge for Human Motion Prediction. arXiv

  • Polarimetric Pose Prediction. arXiv

  • PreTraM: Self-Supervised Pre-training via Connecting Trajectory and Map. arXiv Code

  • Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction. arXiv Code

  • Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimatio. arXiv Code Website

  • Social ODE: Multi-Agent Trajectory Forecasting with Neural Ordinary Differential Equations. Paper

  • Social-SSL: Self-Supervised Cross-Sequence Representation Learning Based on Transformers for Multi-Agent Trajectory Prediction. Paper Code

  • SocialVAE: Human Trajectory Prediction using Timewise Latents. arXiv Code

  • ST-P3: End-to-end Vision-based Autonomous Driving via Spatial-Temporal Feature Learning. arXiv Code

  • View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums. arXiv

NeurIPS

NeurIPS 2025

  • A Driving-Style-Adaptive Framework for Vehicle Trajectory Prediction. Paper

  • Towards Predicting Any Human Trajectory In Context. Paper arXiv

NeurIPS 2024

  • DeMo: Decoupling Motion Forecasting into Directional Intentions and Dynamic States. Paper arXiv Code

  • Motion Forecasting in Continuous Driving. Paper arXiv Code

  • MGF: Mixed Gaussian Flow for Diverse Trajectory Prediction. Paper arXiv Code

  • LaKD: Length-agnostic Knowledge Distillation for Trajectory Prediction with Any Length Observations. Paper

  • Pedestrian Trajectory Prediction with Missing Data: Datasets, Imputation, and Benchmarking. Paper arXiv Code

  • Reasoning Multi-Agent Behavioral Topology for Interactive Autonomous Driving. Paper arXiv Code

  • SMART: Scalable Multi-agent Real-time Motion Generation Via Next-token Prediction. Paper arXiv Code

  • TrajCLIP: Pedestrian Trajectory Prediction Method Using Contrastive Learning and Idempotent Networks. Paper

NeurIPS 2023

  • BCDiff: Bidirectional Consistent Diffusion for Instantaneous Trajectory Prediction. OpenReview

  • Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding. arXiv Code Website

  • Social Motion Prediction with Cognitive Hierarchies. arXiv Code Website

  • trajdata: A Unified Interface to Multiple Human Trajectory Datasets. arXiv Code

  • What Truly Matters in Trajectory Prediction for Autonomous Driving? arXiv Code Website

Datasets and Benchmarks Track

  • Humans in Kitchens: A Dataset for Multi-Person Human Motion Forecasting with Scene Context. OpenReview Code

  • SiT Dataset: Socially Interactive Pedestrian Trajectory Dataset for Social Navigation Robots. OpenReview Code Website

  • trajdata: A Unified Interface to Multiple Human Trajectory Datasets. arXiv Code

NeurIPS 2022

NeurIPS 2022 All Paper List List

ICLR

ICLR 2025

  • Interactive Adjustment for Human Trajectory Prediction with Individual Feedback. Paper

  • Leveraging Driver Field-of-View for Multimodal Ego-Trajectory Prediction. Paper Code

  • Neuralized Markov Random Field for Interaction-Aware Stochastic Human Trajectory Prediction. Paper Code

  • Sports-Traj: A Unified Trajectory Generation Model for Multi-Agent Movement in Sports. Paper arXiv Code

  • Trajectory-LLM: A Language-based Data Generator for Trajectory Prediction in Autonomous Driving. Paper Code

  • TSC-Net: Prediction of Pedestrian Trajectories by Trajectory-Scene-Cell Classification. Paper

ICLR 2024

  • SEPT: Towards Efficient Scene Representation Learning for Motion Prediction. arXiv

  • Social-Transmotion: Promptable Human Trajectory Prediction. arXiv Code

ICLR 2023

ICLR 2023 All Paper List List

  • Learning Heterogeneous Interaction Strengths by Trajectory Prediction with Graph Neural Network. OpenReview arXiv

  • Stochastic Multi-Person 3D Motion Forecasting. OpenReview

  • Leveraging Future Relationship Reasoning for Vehicle Trajectory Prediction. OpenReview

ICLR 2022

  • D-CODE: Discovering Closed-form ODEs from Observed Trajectories. Paper Code

  • Latent Variable Sequential Set Transformers For Joint Multi-Agent Motion Prediction. Paper Code

  • ProtoRes: Proto-Residual Network for Pose Authoring via Learned Inverse Kinematics. Paper Website

  • Scene Transformer: A Unified Architecture for Predicting Multiple Agent Trajectories. Paper

  • THOMAS: Trajectory Heatmap Output with learned Multi-Agent Sampling. Paper

  • You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction. Paper

ICML

ICML 2025

  • DriveGPT: Scaling Autoregressive Behavior Models for Driving. Paper arXiv

  • SAH-Drive: A Scenario-Aware Hybrid Planner for Closed-Loop Vehicle Trajectory Generation. Paper arXiv

  • Three-Dimensional Trajectory Prediction with 3DMoTraj Dataset. Paper Code

ICRA

ICRA 2025

  • Curb Your Attention: Causal Attention Gating for Robust Trajectory Prediction in Autonomous Driving. arXiv Website

  • UPTor: Unified 3D Human Pose Dynamics and Trajectory Prediction for Human-Robot Interaction. arXiv Code Website

  • Co-MTP: A Cooperative Trajectory Prediction Framework with Multi-Temporal Fusion for Autonomous Driving. arXiv Code Website

  • Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD. arXiv Code Website

  • AToM: Adaptive Theory-Of-Mind-Based Human Motion Prediction in Long-Term Human-Robot Interactions. arXiv Code

  • Categorical Traffic Transformer: Interpretable and Diverse Behavior Prediction with Tokenized Latent. arXiv

  • Social-MAE: Social Masked Autoencoder for Multi-Person Motion Representation Learning. arXiv

  • TransFusion: A Practical and Effective Transformer-Based Diffusion Model for 3D Human Motion Prediction. arXiv

ICRA 2024

  • CRITERIA: A New Benchmarking Paradigm for Evaluating Trajectory Prediction Models for Autonomous Driving. arXiv

  • A Novel Benchmarking Paradigm and a Scale- and Motion-Aware Model for Egocentric Pedestrian Trajectory Prediction. arXiv

  • Context-Aware Timewise VAEs for Real-Time Vehicle Trajectory Prediction. arXiv

  • DESTINE: Dynamic Goal Queries with Temporal Transductive Alignment for Trajectory Prediction. arXiv

  • Disentangled Neural Relational Inference for Interpretable Motion Prediction. arXiv

  • FIMP: Future Interaction Modeling for Multi-Agent Motion Prediction. arXiv

  • LaCE-LHMP: Airflow Modelling-Inspired Long-Term Human Motion Prediction by Enhancing Laminar Characteristics in Human Flow. arXiv Code

  • MacFormer: Map-Agent Coupled Transformer for Real-time and Robust Trajectory Prediction. arXiv

  • MGTR: Multi-Granular Transformer for Motion Prediction with LiDAR. arXiv

  • Human Observation-Inspired Trajectory Prediction for Autonomous Driving in Mixed-Autonomy Traffic Environments. arXix Code

  • Human Observation-Inspired Trajectory Prediction for Autonomous Driving in Mixed-Autonomy Traffic Environments. arXiv Code

  • Improving Autonomous Driving Safety with POP: A Framework for Accurate Partially Observed Trajectory Predictions. Project arXiv Code

  • Pedestrian Trajectory Prediction Using Dynamics-based Deep Learning. arXiv

  • PBP: Path-based Trajectory Prediction for Autonomous Driving. arXiv

  • Scene Informer: Anchor-based Occlusion Inference and Trajectory Prediction in Partially Observable Environments. arXiv Code

ICRA 2023

  • Expanding the Deployment Envelope of Behavior Prediction via Adaptive Meta-Learning. arXiv

  • GANet: Goal Area Network for Motion Forecasting. arXiv Code

  • TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction. arXiv Code Website

ICRA 2022

  • Path-Aware Graph Attention for HD Maps in Motion Prediction. arXiv

IROS

IROS 2024

  • Efficient Motion Prediction: A Lightweight & Accurate Trajectory Prediction Model With Fast Training and Inference Speed arXiv Code

  • Improving Out-of-Distribution Generalization of Trajectory Prediction for Autonomous Driving via Polynomial Representations arXiv

  • Deep Stochastic Kinematic Models for Probabilistic Motion Forecasting in Traffic arXiv

IROS 2023

  • Interpretable Trajectory Prediction for Autonomous Vehicles via Counterfactual Responsibility. Website

  • Joint Out-of-Distribution Detection and Uncertainty Estimation for Trajectory Prediction. arXiv Code

  • Streaming Motion Forecasting for Autonomous Driving. arXiv Code

CoRL

CoRL 2024

  • ESCIRL: Evolving Self-Contrastive IRL for Trajectory Prediction in Autonomous Driving. Paper

  • JointMotion: Joint Self-supervision for Joint Motion Prediction. Paper Code

  • Multi-Transmotion: Pre-trained Model for Human Motion Prediction. arXiv Code

  • Not All Errors Are Made Equal: A Regret Metric for Detecting System-level Trajectory Prediction Failures. arXiv Project

CoRL 2023

  • Multi-Predictor Fusion: Combining Learning-based and Rule-based Trajectory Predictors. arXiv

CoRL 2022

  • SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving. arXiv Code

RA-L

RA-L 2024

  • SIMPL: A Simple and Efficient Multi-agent Motion Prediction Baseline for Autonomous Driving. arXiv Code

KDD

KDD 2024

  • ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model. arXiv Code

  • ITPNet: Towards Instantaneous Trajectory Prediction for Autonomous Driving. arXiv

AAAI

AAAI 2024

  • Improving Transferability for Cross-domain Trajectory Prediction via Neural Stochastic Differential Equation. arXiv Code

arXiv

arXiv 2022

  • Safety-compliant Generative Adversarial Networks for Human Trajectory Forecasting. arXiv

  • Wayformer: Motion Forecasting via Simple & Efficient Attention Networks. arXiv

arXiv 2025

  • WAM-Flow: Parallel Coarse-to-Fine Motion Planning via Discrete Flow Matching for Autonomous Driving. arXiv Code

  • A Retrieval Augmented Spatio-Temporal Framework for Traffic Prediction. arXiv

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