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Trajectory/Motion Prediction Papers

LastUpdated topic topic Awesome

Collecting Recent Trajectory and Motion Prediction Papers. Keep Updating. Welcome to Contribute!

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: [email protected]
Wechat: 578138534

知乎

Other Paper Collection Repo: Github

First main conference, then workshop, in alphabet order.

Bookmarks:

CVPR 2024 2023 2022

ICCV 2023

ECCV 2022 2024

NeurIPS 2024 2023 2022

ICLR 2024 2023 2022

arXiv 2022

ICRA 2024 2023 2022

IROS 2023 2024

CoRL 2024 2023 2022

RAL 2024

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

NeurIPS 2024

  • MGF: Mixed Gaussian Flow for Diverse Trajectory Prediction.

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

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

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

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

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

IROS 2024

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

  • 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

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

CVPR 2024

  • 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

ICLR 2024

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

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

RAL 2024

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

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

AAAI 2024

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

CoRL 2023

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

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

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

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

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

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

arXiv 2022

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

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

CoRL 2022

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

NeurIPS 2022

NeurIPS 2022 All Paper List List

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.

  • 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

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

ICRA 2022

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

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