Future prediction
39 papers with code • 0 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Future prediction
CCD
Latest papers
Flexible Networks for Learning Physical Dynamics of Deformable Objects
This precondition restrains the model from generalizing to real-world data, which is considered to be a sequence of unordered point sets.
MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction
stepankonev/waymo-motion-prediction-challenge-2022-multipath-plus-plus
•
•
Predicting the future behavior of road users is one of the most challenging and important problems in autonomous driving.
Measuring Financial Time Series Similarity With a View to Identifying Profitable Stock Market Opportunities
Forecasting stock returns is a challenging problem due to the highly stochastic nature of the market and the vast array of factors and events that can influence trading volume and prices.
FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular Cameras
We present FIERY: a probabilistic future prediction model in bird's-eye view from monocular cameras.
On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors
lmb-freiburg/contrastive-future-trajectory-prediction
•
•
ICCV 2021
Predicting the states of dynamic traffic actors into the future is important for autonomous systems to operate safelyand efficiently.
Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction
Value function is the central notion of Reinforcement Learning (RL).
Temporal Knowledge Graph Forecasting with Neural ODE
In addition, a novel graph transition layer is applied to capture the transitions on the dynamic graph, i. e., edge formation and dissolution.
Neural Online Graph Exploration
johny-c/noge
•
•
Can we learn how to explore unknown spaces efficiently?
Online Spatiotemporal Action Detection and Prediction via Causal Representations
In this thesis, we focus on video action understanding problems from an online and real-time processing point of view.
Learning to Abstract and Predict Human Actions
RomeroBarata/hierarchical_action_prediction
•
•
We propose Hierarchical Encoder-Refresher-Anticipator, a multi-level neural machine that can learn the structure of human activities by observing a partial hierarchy of events and roll-out such structure into a future prediction in multiple levels of abstraction.
