mlsanityData to 7 Oct 2026

Adaptive Trajectory Prediction via Transferable GNN

arXiv 2203.05046 ↗First posted 9 Mar 2022cs.CVcited by 51

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Abstract (arXiv)

Pedestrian trajectory prediction is an essential component in a wide range of AI applications such as autonomous driving and robotics. Existing methods usually assume the training and testing motions follow the same pattern while ignoring the potential distribution differences (e.g., shopping mall and street). This issue results in inevitable performance decrease. To address this issue, we propose a novel Transferable Graph Neural Network (T-GNN) framework, which jointly conducts trajectory prediction as well as domain alignment in a unified framework. Specifically, a domain-invariant GNN is proposed to explore the structural motion knowledge where the domain-specific knowledge is reduced. Moreover, an attention-based adaptive knowledge learning module is further proposed to explore fine-grained individual-level feature representations for knowledge transfer. By this way, disparities across different trajectory domains will be better alleviated. More challenging while practical trajectory prediction experiments are designed, and the experimental results verify the superior performance of our proposed model. To the best of our knowledge, our work is the pioneer which fills the gap in benchmarks and techniques for practical pedestrian trajectory prediction across different domains.

Key facts. Cited by 51 papers in the map (data through 7 Oct 2026). Builds on 49 of its 89 references that are in the map. First posted on arXiv 9 Mar 2022.

Builds on

49 of 89 references.

References · 49

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37 more
  1. 2018Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networkscited by 687
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  3. 2021AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecastingcited by 327
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  6. 2020It Is Not the Journey but the Destination: Endpoint Conditioned Trajectory Predictioncited by 235
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  8. 2019Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networkscited by 228
  9. 2020Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Predictioncited by 218
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  11. 2020Transformer Networks for Trajectory Forecastingcited by 180
  12. 2020From Goals, Waypoints & Paths To Long Term Human Trajectory Forecastingcited by 166
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  14. 2019SR-LSTM: State Refinement for LSTM towards Pedestrian Trajectory Predictioncited by 111
  15. 2021SGCN:Sparse Graph Convolution Network for Pedestrian Trajectory Predictioncited by 97
  16. 2019Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANscited by 78
  17. 2019Conditional Generative Neural System for Probabilistic Trajectory Predictioncited by 76
  18. 2020Recursive Social Behavior Graph for Trajectory Predictioncited by 66
  19. 2021MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Predictioncited by 61
  20. 2021Trajectory Prediction with Latent Belief Energy-Based Modelcited by 60
  21. 2020Collaborative Motion Prediction via Neural Motion Message Passingcited by 55
  22. 2021On Exposing the Challenging Long Tail in Future Prediction of Traffic Actorscited by 48
  23. 2021Three Steps to Multimodal Trajectory Prediction: Modality Clustering, Classification and Synthesiscited by 46
  24. 2021Interpretable Social Anchors for Human Trajectory Forecasting in Crowdscited by 44
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 10; 2023: 15; 2024: 10; 2025: 11; 2026: 5.

51 papers.

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  1. 2023Uncovering the Missing Pattern: Unified Framework Towards Trajectory Imputation and Predictioncited by 47
  2. 2022Learning Pedestrian Group Representations for Multi-modal Trajectory Predictioncited by 44
  3. 2023EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecastingcited by 41
  4. 2024SingularTrajectory: Universal Trajectory Predictor Using Diffusion Modelcited by 35
  5. 2024Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory Predictioncited by 31
  6. 2022Dynamic-Group-Aware Networks for Multi-Agent Trajectory Prediction with Relational Reasoningcited by 28
  7. 2023Stochastic Multi-Person 3D Motion Forecastingcited by 28
  8. 2023Trajectory-Aware Body Interaction Transformer for Multi-Person Pose Forecastingcited by 25
  9. 2022Expanding the Deployment Envelope of Behavior Prediction via Adaptive Meta-Learningcited by 23
  10. 2022R-Pred: Two-Stage Motion Prediction Via Tube-Query Attention-Based Trajectory Refinementcited by 23
  11. 2024Adapting to Length Shift: FlexiLength Network for Trajectory Predictioncited by 22
  12. 2024T4P: Test-Time Training of Trajectory Prediction via Masked Autoencoder and Actor-specific Token Memorycited by 20
38 more
  1. 2023Unsupervised Sampling Promoting for Stochastic Human Trajectory Predictioncited by 17
  2. 2022Forecasting Human Trajectory from Scene Historycited by 14
  3. 2025Trajectory Prediction for Autonomous Driving: Progress, Limitations, and Future Directionscited by 14
  4. 2025Unified Spatial-Temporal Edge-Enhanced Graph Networks for Pedestrian Trajectory Predictioncited by 13
  5. 2022Safety-compliant Generative Adversarial Networks for Human Trajectory Forecastingcited by 12
  6. 2022Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecastingcited by 12
  7. 2023Improving Transferability for Cross-domain Trajectory Prediction via Neural Stochastic Differential Equationcited by 12
  8. 2022Heterogeneous Trajectory Forecasting via Risk and Scene Graph Learningcited by 11
  9. 2023Latent Graph Inference with Limited Supervisioncited by 9
  10. 2023Vision-based Multi-future Trajectory Prediction: A Surveycited by 8
  11. 2023Learning Discriminative Features for Crowd Countingcited by 8
  12. 2024Recurrent Aligned Network for Generalized Pedestrian Trajectory Predictioncited by 8
  13. 2025Continuous Locomotive Crowd Behavior Generationcited by 7
  14. 2022Look More but Care Less in Video Recognitioncited by 6
  15. 2023Adaptive Human Trajectory Prediction via Latent Corridorscited by 5
  16. 2024Cross-Domain Transfer Learning using Attention Latent Features for Multi-Agent Trajectory Predictioncited by 5
  17. 2025AMD: Adaptive Momentum and Decoupled Contrastive Learning Framework for Robust Long-Tail Trajectory Predictioncited by 4
  18. 2025Interaction-Merged Motion Planning: Effectively Leveraging Diverse Motion Datasets for Robust Planningcited by 4
  19. 2022Learning Heterogeneous Interaction Strengths by Trajectory Prediction with Graph Neural Networkcited by 3
  20. 2023Graph Relation Aware Continual Learningcited by 3
  21. 2023Sparse Pedestrian Character Learning for Trajectory Predictioncited by 3
  22. 2024Den-TP: A Density-Balanced Data Curation and Evaluation Framework for Trajectory Predictioncited by 3
  23. 2025Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Promptingcited by 3
  24. 2024MetaTra: Meta-Learning for Generalized Trajectory Prediction in Unseen Domaincited by 2
  25. 2024RealTraj: Towards Real-World Pedestrian Trajectory Forecastingcited by 2
  26. 2025Out-of-Distribution Generalization on Graphs via Progressive Inferencecited by 2
  27. 2025Towards Predicting Any Human Trajectory In Contextcited by 2
  28. 2023Spatial-Temporal Conditional Random Field for Human Trajectory Predictioncited by 1
  29. 2023Optimizing Ego Vehicle Trajectory Prediction: The Graph Enhancement Approachcited by 1
  30. 2026Attention-based graph neural networks: a surveycited by 1
  31. 2023Low-light Pedestrian Detection in Visible and Infrared Image Feeds: Issues and Challengescited by 0
  32. 2024Towards Safe and Reliable Autonomous Driving: Dynamic Occupancy Set Predictioncited by 0
  33. 2025AdaSports-Traj: Role- and Domain-Aware Adaptation for Multi-Agent Trajectory Modeling in Sportscited by 0
  34. 2025TraceHiding: Scalable Machine Unlearning for Mobility Datacited by 0
  35. 2025SocialTraj: Two-Stage Socially-Aware Trajectory Prediction for Autonomous Driving via Conditional Diffusion Modelcited by 0
  36. 2026MetaDAT: Generalizable Trajectory Prediction via Meta Pre-training and Data-Adaptive Test-Time Updatingcited by 0
  37. 2026Fusing Driver Perceived and Physical Risk for Safety Critical Scenario Screening in Autonomous Drivingcited by 0
  38. 2026Exploitation of Hidden Context in Dynamic Movement Forecasting: A Neural Network Journey from Recurrent to Graph Neural Networks and General Purpose Transformerscited by 0

50 most cited of 51 All 51 (JSON)