mlsanityData to 7 Oct 2026

Recursive Social Behavior Graph for Trajectory Prediction

arXiv 2004.10402 ↗First posted 22 Apr 2020cs.CVcited by 66

Not on the map. Why?

Abstract (arXiv)

Social interaction is an important topic in human trajectory prediction to generate plausible paths. In this paper, we present a novel insight of group-based social interaction model to explore relationships among pedestrians. We recursively extract social representations supervised by group-based annotations and formulate them into a social behavior graph, called Recursive Social Behavior Graph. Our recursive mechanism explores the representation power largely. Graph Convolutional Neural Network then is used to propagate social interaction information in such a graph. With the guidance of Recursive Social Behavior Graph, we surpass state-of-the-art method on ETH and UCY dataset for 11.1% in ADE and 10.8% in FDE in average, and successfully predict complex social behaviors.

Key facts. Cited by 66 papers in the map (data through 7 Oct 2026). First posted on arXiv 22 Apr 2020.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 18; 2022: 21; 2023: 11; 2024: 9; 2025: 6; 2026: 1.

66 papers.

Sort:

By area:

  1. 2021DenseTNT: End-to-end Trajectory Prediction from Dense Goal Setscited by 292
  2. 2022Stochastic Trajectory Prediction via Motion Indeterminacy Diffusioncited by 184
  3. 2021SGCN:Sparse Graph Convolution Network for Pedestrian Trajectory Predictioncited by 97
  4. 2022On Adversarial Robustness of Trajectory Prediction for Autonomous Vehiclescited by 89
  5. 2021Multi-Person 3D Motion Prediction with Multi-Range Transformerscited by 63
  6. 2022A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspectivecited by 56
  7. 2022Adaptive Trajectory Prediction via Transferable GNNcited by 51
  8. 2021On Exposing the Challenging Long Tail in Future Prediction of Traffic Actorscited by 48
  9. 2023Uncovering the Missing Pattern: Unified Framework Towards Trajectory Imputation and Predictioncited by 47
  10. 2021Three Steps to Multimodal Trajectory Prediction: Modality Clustering, Classification and Synthesiscited by 46
  11. 2022Non-Probability Sampling Network for Stochastic Human Trajectory Predictioncited by 46
  12. 2021View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrumscited by 44
38 more
  1. 2022Learning Pedestrian Group Representations for Multi-modal Trajectory Predictioncited by 44
  2. 2023EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecastingcited by 41
  3. 2022Graph-based Spatial Transformer with Memory Replay for Multi-future Pedestrian Trajectory Predictioncited by 36
  4. 2022How many Observations are Enough? Knowledge Distillation for Trajectory Forecastingcited by 35
  5. 2024SingularTrajectory: Universal Trajectory Predictor Using Diffusion Modelcited by 35
  6. 2024Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory Predictioncited by 31
  7. 2021Personalized Trajectory Prediction via Distribution Discriminationcited by 30
  8. 2023Stochastic Multi-Person 3D Motion Forecastingcited by 28
  9. 2022Expanding the Deployment Envelope of Behavior Prediction via Adaptive Meta-Learningcited by 23
  10. 2022PedFormer: Pedestrian Behavior Prediction via Cross-Modal Attention Modulation and Gated Multitask Learningcited by 23
  11. 2024Adapting to Length Shift: FlexiLength Network for Trajectory Predictioncited by 22
  12. 2021Congestion-aware Multi-agent Trajectory Prediction for Collision Avoidancecited by 21
  13. 2024MART: MultiscAle Relational Transformer Networks for Multi-agent Trajectory Predictioncited by 21
  14. 2021SSAGCN: Social Soft Attention Graph Convolution Network for Pedestrian Trajectory Predictioncited by 19
  15. 2022LatentFormer: Multi-Agent Transformer-Based Interaction Modeling and Trajectory Predictioncited by 19
  16. 2024Sports-Traj: A Unified Trajectory Generation Model for Multi-Agent Movement in Sportscited by 19
  17. 2022CSCNet: Contextual Semantic Consistency Network for Trajectory Prediction in Crowded Spacescited by 18
  18. 2023DICE: Diverse Diffusion Model with Scoring for Trajectory Predictioncited by 18
  19. 2021Unlimited Neighborhood Interaction for Heterogeneous Trajectory Predictioncited by 17
  20. 2023Unsupervised Sampling Promoting for Stochastic Human Trajectory Predictioncited by 17
  21. 2022Social Interpretable Tree for Pedestrian Trajectory Predictioncited by 16
  22. 2022Forecasting Human Trajectory from Scene Historycited by 14
  23. 2023Another Vertical View: A Hierarchical Network for Heterogeneous Trajectory Prediction via Spectrumscited by 14
  24. 2025Trajectory Prediction for Autonomous Driving: Progress, Limitations, and Future Directionscited by 14
  25. 2022Safety-compliant Generative Adversarial Networks for Human Trajectory Forecastingcited by 12
  26. 2023A Novel Benchmarking Paradigm and a Scale- and Motion-Aware Model for Egocentric Pedestrian Trajectory Predictioncited by 12
  27. 2022Tiny Object Tracking: A Large-scale Dataset and A Baselinecited by 11
  28. 2022Highlighting Object Category Immunity for the Generalization of Human-Object Interaction Detectioncited by 9
  29. 2023Social Motion Prediction with Cognitive Hierarchiescited by 8
  30. 2021PGT: A Progressive Method for Training Models on Long Videoscited by 7
  31. 2025Continuous Locomotive Crowd Behavior Generationcited by 7
  32. 2021Pedestrian Simulation: A Reviewcited by 5
  33. 2022A real-time dynamic obstacle tracking and mapping system for UAV navigation and collision avoidance with an RGB-D cameracited by 5
  34. 2021Robot Navigation in a Crowd by Integrating Deep Reinforcement Learning and Online Planningcited by 4
  35. 2022From Node Interaction to Hop Interaction: New Effective and Scalable Graph Learning Paradigmcited by 4
  36. 2021SRA-LSTM: Social Relationship Attention LSTM for Human Trajectory Predictioncited by 3
  37. 2023Sparse Pedestrian Character Learning for Trajectory Predictioncited by 3
  38. 2024ETSM: Automating Dissection Trajectory Suggestion and Confidence Map-Based Safety Margin Prediction for Robot-assisted Endoscopic Submucosal Dissectioncited by 3

50 most cited of 66 All 66 (JSON)