SMEMO: Social Memory for Trajectory Forecasting
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Abstract (arXiv)
Effective modeling of human interactions is of utmost importance when forecasting behaviors such as future trajectories. Each individual, with its motion, influences surrounding agents since everyone obeys to social non-written rules such as collision avoidance or group following. In this paper we model such interactions, which constantly evolve through time, by looking at the problem from an algorithmic point of view, i.e. as a data manipulation task. We present a neural network based on an end-to-end trainable working memory, which acts as an external storage where information about each agent can be continuously written, updated and recalled. We show that our method is capable of learning explainable cause-effect relationships between motions of different agents, obtaining state-of-the-art results on multiple trajectory forecasting datasets.
Key facts. Cited by 26 papers in the map (data through 7 Oct 2026). Builds on 50 of its 80 references that are in the map. First posted on arXiv 23 Mar 2022.
Builds on
50 of 80 references.
References · 50
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- 2019nuScenes: A multimodal dataset for autonomous drivingcited by 4,485
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38 more
- 2018SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraintscited by 296
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- 2019Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networkscited by 228
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- 2020Transformer Networks for Trajectory Forecastingcited by 180
- 2019Multiple Futures Predictioncited by 178
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- 2020Memory-augmented Dense Predictive Coding for Video Representation Learningcited by 137
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- 2020Human Trajectory Forecasting in Crowds: A Deep Learning Perspectivecited by 128
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- 2019Peeking into the Future: Predicting Future Person Activities and Locations in Videoscited by 112
- 2018TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agentscited by 111
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Citing papers per year: 2022: 1; 2023: 2; 2024: 7; 2025: 9; 2026: 7.
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- 2023EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecastingcited by 41
- 2024SingularTrajectory: Universal Trajectory Predictor Using Diffusion Modelcited by 35
- 2024Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory Predictioncited by 31
- 2024LG-Traj: LLM Guided Pedestrian Trajectory Predictioncited by 24
- 2025Trajectory Prediction for Autonomous Driving: Progress, Limitations, and Future Directionscited by 14
- 2025Unified Spatial-Temporal Edge-Enhanced Graph Networks for Pedestrian Trajectory Predictioncited by 13
- 2025BP-SGCN: Behavioral Pseudo-Label Informed Sparse Graph Convolution Network for Pedestrian and Heterogeneous Trajectory Predictioncited by 9
- 2025Continuous Locomotive Crowd Behavior Generationcited by 7
- 2024Multi-Agent Inverse Reinforcement Learning in Real World Unstructured Pedestrian Crowdscited by 6
- 2024Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrationscited by 5
- 2022Fashion Recommendation Based on Style and Social Eventscited by 3
- 2024G2LTraj: A Global-to-Local Generation Approach for Trajectory Predictioncited by 3
14 more
- 2025Recent Advances in Multi-Agent Human Trajectory Prediction: A Comprehensive Reviewcited by 2
- 2025Intention-Aware Diffusion Model for Pedestrian Trajectory Predictioncited by 2
- 2023FLODCAST: Flow and Depth Forecasting via Multimodal Recurrent Architecturescited by 1
- 2024PMM-Net: Single-stage Multi-agent Trajectory Prediction with Patching-based Embedding and Explicit Modal Modulationcited by 1
- 2025Offline Reinforcement Learning using Human-Aligned Reward Labeling for Autonomous Emergency Braking in Occluded Pedestrian Crossingcited by 1
- 2025Reverberation: Learning the Latencies Before Forecasting Trajectoriescited by 1
- 2025Diagnosing Capability Preservation and Task Sensitivity in Memory Augmented Document Classifierscited by 0
- 2026SAIL: Scene-aware Adaptive Iterative Learning for Long-Tail Trajectory Prediction in Autonomous Vehiclescited by 0
- 2026Encore: Conditioning Trajectory Forecasting via Biased Ego Rehearsalscited by 0
- 2026SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Drivingcited by 0
- 2026TSCA-Net: Temporal-Spatial Clique Attention for Interpretable Multimodal Pedestrian Trajectory Predictioncited by 0
- 2026A Unified Framework for Trajectory Prediction with Explicit Planning and Reaction Decompositioncited by 0
- 2026GEAR: From Dynamic Encoding to Dynamic Activation in Social Trajectory Predictioncited by 0
- 2026HAP: A Hand-Driven Active Perception Framework for Egocentric Head Motion Predictioncited by 0
- 2026HAP: A Hand-Driven Active Perception Framework for Egocentric Head Motion Prediction16 Sep 2026
- 2026GEAR: From Dynamic Encoding to Dynamic Activation in Social Trajectory Prediction12 Sep 2026
- 2026A Unified Framework for Trajectory Prediction with Explicit Planning and Reaction Decomposition6 Aug 2026
- 2026TSCA-Net: Temporal-Spatial Clique Attention for Interpretable Multimodal Pedestrian Trajectory Prediction11 Jul 2026
- 2026SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving3 Jul 2026
- 2026Encore: Conditioning Trajectory Forecasting via Biased Ego Rehearsals12 May 2026
- 2026SAIL: Scene-aware Adaptive Iterative Learning for Long-Tail Trajectory Prediction in Autonomous Vehicles6 Apr 2026
- 2025Diagnosing Capability Preservation and Task Sensitivity in Memory Augmented Document Classifiers6 Dec 2025
- 2025Reverberation: Learning the Latencies Before Forecasting Trajectories14 Nov 2025
- 2025Intention-Aware Diffusion Model for Pedestrian Trajectory Prediction10 Aug 2025
- 2025Recent Advances in Multi-Agent Human Trajectory Prediction: A Comprehensive Review13 Jun 2025
- 2025Offline Reinforcement Learning using Human-Aligned Reward Labeling for Autonomous Emergency Braking in Occluded Pedestrian Crossing11 Apr 2025
14 more
- 2025Continuous Locomotive Crowd Behavior Generation7 Apr 2025
- 2025Trajectory Prediction for Autonomous Driving: Progress, Limitations, and Future Directions5 Mar 2025
- 2025BP-SGCN: Behavioral Pseudo-Label Informed Sparse Graph Convolution Network for Pedestrian and Heterogeneous Trajectory Prediction20 Feb 2025
- 2025Unified Spatial-Temporal Edge-Enhanced Graph Networks for Pedestrian Trajectory Prediction4 Feb 2025
- 2024Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations3 Dec 2024
- 2024PMM-Net: Single-stage Multi-agent Trajectory Prediction with Patching-based Embedding and Explicit Modal Modulation25 Oct 2024
- 2024Multi-Agent Inverse Reinforcement Learning in Real World Unstructured Pedestrian Crowds26 May 2024
- 2024G2LTraj: A Global-to-Local Generation Approach for Trajectory Prediction30 Apr 2024
- 2024SingularTrajectory: Universal Trajectory Predictor Using Diffusion Model27 Mar 2024
- 2024Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory Prediction27 Mar 2024
- 2024LG-Traj: LLM Guided Pedestrian Trajectory Prediction12 Mar 2024
- 2023FLODCAST: Flow and Depth Forecasting via Multimodal Recurrent Architectures31 Oct 2023
- 2023EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecasting18 Jul 2023
- 2022Fashion Recommendation Based on Style and Social Events1 Aug 2022
- 2023EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecastingcited by 41
- 2024Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory Predictioncited by 31
- 2024LG-Traj: LLM Guided Pedestrian Trajectory Predictioncited by 24
- 2025Trajectory Prediction for Autonomous Driving: Progress, Limitations, and Future Directionscited by 14
- 2025Unified Spatial-Temporal Edge-Enhanced Graph Networks for Pedestrian Trajectory Predictioncited by 13
- 2025BP-SGCN: Behavioral Pseudo-Label Informed Sparse Graph Convolution Network for Pedestrian and Heterogeneous Trajectory Predictioncited by 9
- 2025Continuous Locomotive Crowd Behavior Generationcited by 7
- 2024Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrationscited by 5
- 2022Fashion Recommendation Based on Style and Social Eventscited by 3
- 2024G2LTraj: A Global-to-Local Generation Approach for Trajectory Predictioncited by 3
- 2025Recent Advances in Multi-Agent Human Trajectory Prediction: A Comprehensive Reviewcited by 2
- 2023FLODCAST: Flow and Depth Forecasting via Multimodal Recurrent Architecturescited by 1
12 most cited of 22 All 22 (JSON)
- 2026HAP: A Hand-Driven Active Perception Framework for Egocentric Head Motion Prediction16 Sep 2026
- 2026GEAR: From Dynamic Encoding to Dynamic Activation in Social Trajectory Prediction12 Sep 2026
- 2026A Unified Framework for Trajectory Prediction with Explicit Planning and Reaction Decomposition6 Aug 2026
- 2026TSCA-Net: Temporal-Spatial Clique Attention for Interpretable Multimodal Pedestrian Trajectory Prediction11 Jul 2026
- 2026SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving3 Jul 2026
- 2026Encore: Conditioning Trajectory Forecasting via Biased Ego Rehearsals12 May 2026
- 2026SAIL: Scene-aware Adaptive Iterative Learning for Long-Tail Trajectory Prediction in Autonomous Vehicles6 Apr 2026
- 2025Diagnosing Capability Preservation and Task Sensitivity in Memory Augmented Document Classifiers6 Dec 2025
- 2025Reverberation: Learning the Latencies Before Forecasting Trajectories14 Nov 2025
- 2025Recent Advances in Multi-Agent Human Trajectory Prediction: A Comprehensive Review13 Jun 2025
- 2025Continuous Locomotive Crowd Behavior Generation7 Apr 2025
- 2025Trajectory Prediction for Autonomous Driving: Progress, Limitations, and Future Directions5 Mar 2025
12 newest of 22 All 22 (JSON)