SOTAVerified

Trajectory Forecasting

Trajectory forecasting is a sequential prediction task, where a forecasting model predicts future trajectories of all moving agents (humans, vehicles, etc.) in a scene, based on their past trajectories and/or the scene context.

(Illustrative figure from Social NCE: Contrastive Learning of Socially-aware Motion Representations)

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 181–187 of 187 papers

TitleStatusHype
Flow-FL: Data-Driven Federated Learning for Spatio-Temporal Predictions in Multi-Robot Systems—0
TrackGPT -- A generative pre-trained transformer for cross-domain entity trajectory forecasting—0
Interaction Modeling with Multiplex Attention—0
Interpretable Social Anchors for Human Trajectory Forecasting in Crowds—0
First-Person Activity Forecasting with Online Inverse Reinforcement Learning—0
PTP: Parallelized Tracking and Prediction with Graph Neural Networks and Diversity Sampling—0
Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling—0
Show:102550
← PrevPage 19 of 19Next →

No leaderboard results yet.