mlsanityData to 14 Oct 2026

Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks

arXiv 1907.03395 ↗First posted 4 Jul 2019cs.CV cs.LGcited by 229

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Abstract (arXiv)

Predicting the future trajectories of multiple interacting agents in a scene has become an increasingly important problem for many different applications ranging from control of autonomous vehicles and social robots to security and surveillance. This problem is compounded by the presence of social interactions between humans and their physical interactions with the scene. While the existing literature has explored some of these cues, they mainly ignored the multimodal nature of each human's future trajectory. In this paper, we present Social-BiGAT, a graph-based generative adversarial network that generates realistic, multimodal trajectory predictions by better modelling the social interactions of pedestrians in a scene. Our method is based on a graph attention network (GAT) that learns reliable feature representations that encode the social interactions between humans in the scene, and a recurrent encoder-decoder architecture that is trained adversarially to predict, based on the features, the humans' paths. We explicitly account for the multimodal nature of the prediction problem by forming a reversible transformation between each scene and its latent noise vector, as in Bicycle-GAN. We show that our framework achieves state-of-the-art performance comparing it to several baselines on existing trajectory forecasting benchmarks.

Key facts. Cited by 229 papers in the map (data through 14 Oct 2026). First posted on arXiv 4 Jul 2019.

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Citing papers per year: 2021: 61; 2022: 48; 2023: 40; 2024: 46; 2025: 21; 2026: 13.

229 papers.

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  1. 2021How Attentive are Graph Attention Networks?cited by 835
  2. 2022TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Drivingcited by 485
  3. 2021Multi-Modal Fusion Transformer for End-to-End Autonomous Drivingcited by 377
  4. 2021AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecastingcited by 331
  5. 2022Wayformer: Motion Forecasting via Simple & Efficient Attention Networkscited by 280
  6. 2022Stochastic Trajectory Prediction via Motion Indeterminacy Diffusioncited by 185
  7. 2023Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Surveycited by 140
  8. 2023Leapfrog Diffusion Model for Stochastic Trajectory Predictioncited by 132
  9. 2022GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational Reasoningcited by 128
  10. 2021SGCN:Sparse Graph Convolution Network for Pedestrian Trajectory Predictioncited by 97
  11. 2022M2I: From Factored Marginal Trajectory Prediction to Interactive Predictioncited by 81
  12. 2021Multi-Person Extreme Motion Predictioncited by 75
38 more
  1. 2021LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agentscited by 64
  2. 2021Multi-Person 3D Motion Prediction with Multi-Range Transformerscited by 63
  3. 2021Stepwise Goal-Driven Networks for Trajectory Predictioncited by 62
  4. 2021MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Predictioncited by 61
  5. 2021Trajectory Prediction with Latent Belief Energy-Based Modelcited by 60
  6. 2022MUSE-VAE: Multi-Scale VAE for Environment-Aware Long Term Trajectory Predictioncited by 59
  7. 2021LOKI: Long Term and Key Intentions for Trajectory Predictioncited by 57
  8. 2021TRiPOD: Human Trajectory and Pose Dynamics Forecasting in the Wildcited by 52
  9. 2022Adaptive Trajectory Prediction via Transferable GNNcited by 51
  10. 2022AdvDO: Realistic Adversarial Attacks for Trajectory Predictioncited by 49
  11. 2021On Exposing the Challenging Long Tail in Future Prediction of Traffic Actorscited by 48
  12. 2021MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Predictioncited by 48
  13. 2023Leveraging Future Relationship Reasoning for Vehicle Trajectory Predictioncited by 48
  14. 2023Uncovering the Missing Pattern: Unified Framework Towards Trajectory Imputation and Predictioncited by 47
  15. 2022Non-Probability Sampling Network for Stochastic Human Trajectory Predictioncited by 46
  16. 2021View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrumscited by 45
  17. 2021Interpretable Social Anchors for Human Trajectory Forecasting in Crowdscited by 44
  18. 2022Learning Pedestrian Group Representations for Multi-modal Trajectory Predictioncited by 44
  19. 2021Human Trajectory Prediction via Counterfactual Analysiscited by 42
  20. 2023EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecastingcited by 41
  21. 2022Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimationcited by 40
  22. 2021Divide-and-Conquer for Lane-Aware Diverse Trajectory Predictioncited by 37
  23. 2021Multiscale Spatio-Temporal Graph Neural Networks for 3D Skeleton-Based Motion Predictioncited by 37
  24. 2021RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecastingcited by 36
  25. 2022Graph-based Spatial Transformer with Memory Replay for Multi-future Pedestrian Trajectory Predictioncited by 36
  26. 2021Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Trackingcited by 35
  27. 2022How many Observations are Enough? Knowledge Distillation for Trajectory Forecastingcited by 35
  28. 2024SingularTrajectory: Universal Trajectory Predictor Using Diffusion Modelcited by 35
  29. 2021Are socially-aware trajectory prediction models really socially-aware?cited by 32
  30. 2024Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory Predictioncited by 31
  31. 2021Personalized Trajectory Prediction via Distribution Discriminationcited by 30
  32. 2021Review of Pedestrian Trajectory Prediction Methods: Comparing Deep Learning and Knowledge-based Approachescited by 30
  33. 2022Motron: Multimodal Probabilistic Human Motion Forecastingcited by 30
  34. 2022Behavioral Intention Prediction in Driving Scenes: A Surveycited by 30
  35. 2022Skeleton-Parted Graph Scattering Networks for 3D Human Motion Predictioncited by 29
  36. 2022Quo Vadis: Is Trajectory Forecasting the Key Towards Long-Term Multi-Object Tracking?cited by 29
  37. 2022Graph Neural Networks in IoT: A Surveycited by 28
  38. 2022Forecasting from LiDAR via Future Object Detectioncited by 28

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