SOTAVerified

Motion Forecasting

Motion forecasting is the task of predicting the location of a tracked object in the future

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–150 of 205 papers

TitleStatusHype
Words in Motion: Extracting Interpretable Control Vectors for Motion TransformersCode0
Valeo4Cast: A Modular Approach to End-to-End ForecastingCode0
On the Identification of Temporally Causal Representation with Instantaneous Dependence—0
DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving—0
ADM: Accelerated Diffusion Model via Estimated Priors for Robust Motion Prediction under UncertaintiesCode0
Scaling Motion Forecasting Models with Ensemble Distillation—0
Hierarchical Light Transformer Ensembles for Multimodal Trajectory ForecastingCode0
AMP: Autoregressive Motion Prediction Revisited with Next Token Prediction for Autonomous Driving—0
GazeMotion: Gaze-guided Human Motion Forecasting—0
JointMotion: Joint Self-Supervision for Joint Motion PredictionCode0
Fooling Neural Networks for Motion Forecasting via Adversarial Attacks—0
Real-time respiratory motion forecasting with online learning of recurrent neural networks for accurate targeting in externally guided radiotherapy—0
Robot Interaction Behavior Generation based on Social Motion Forecasting for Human-Robot Interaction—0
Using Motion Forecasting for Behavior-Based Virtual Reality (VR) AuthenticationCode0
FIMP: Future Interaction Modeling for Multi-Agent Motion Prediction—0
TACO: Benchmarking Generalizable Bimanual Tool-ACtion-Object Understanding—0
SSL-Interactions: Pretext Tasks for Interactive Trajectory Prediction—0
Sim-to-Real Causal Transfer: A Metric Learning Approach to Causally-Aware Interaction RepresentationsCode0
Personalized Pose Forecasting—0
FFINet: Future Feedback Interaction Network for Motion Forecasting—0
OSM vs HD Maps: Map Representations for Trajectory Prediction—0
EqDrive: Efficient Equivariant Motion Forecasting with Multi-Modality for Autonomous Driving—0
KI-PMF: Knowledge Integrated Plausible Motion Forecasting—0
The WayHome: Long-term Motion Prediction on Dynamically Scaled—0
SEPT: Towards Efficient Scene Representation Learning for Motion Prediction—0
Staged Contact-Aware Global Human Motion ForecastingCode0
Vehicle Motion Forecasting using Prior Information and Semantic-assisted Occupancy Grid Maps—0
Persistent-Transient Duality: A Multi-mechanism Approach for Modeling Human-Object Interaction—0
The 2nd Place Solution for 2023 Waymo Open Sim Agents Challenge—0
SIMMF: Semantics-aware Interactive Multiagent Motion Forecasting for Autonomous Vehicle Driving—0
MotionDiffuser: Controllable Multi-Agent Motion Prediction using Diffusion—0
Regularizing Towards Soft Equivariance Under Mixed Symmetries—0
Leveraging Future Relationship Reasoning for Vehicle Trajectory Prediction—0
TSGN: Temporal Scene Graph Neural Networks with Projected Vectorized Representation for Multi-Agent Motion Prediction—0
WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion Forecasting—0
ProphNet: Efficient Agent-Centric Motion Forecasting with Anchor-Informed Proposals—0
Dynamic Scenario Representation Learning for Motion Forecasting with Heterogeneous Graph Convolutional Recurrent Networks—0
Generative Causal Representation Learning for Out-of-Distribution Motion ForecastingCode0
Robust Human Motion Forecasting using Transformer-based Model—0
Test-time Personalizable Forecasting of 3D Human Poses—0
R-Pred: Two-Stage Motion Prediction Via Tube-Query Attention-Based Trajectory Refinement—0
GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting—0
Improving Motion Forecasting for Autonomous Driving with the Cycle Consistency Loss—0
Conditional Goal-oriented Trajectory Prediction for Interacting Vehicles with Vectorized Representation—0
Exploiting map information for self-supervised learning in motion forecasting—0
Interpretable Deep Tracking—0
QML for Argoverse 2 Motion Forecasting Challenge—0
TENET: Transformer Encoding Network for Effective Temporal Flow on Motion Prediction—0
BANet: Motion Forecasting with Boundary Aware Network—0
Narrowing the Coordinate-frame Gap in Behavior Prediction Models: Distillation for Efficient and Accurate Scene-centric Motion Forecasting—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1WSTbrier-minFDE (K=6)26.41—Unverified
2BaseballBrobrier-minFDE (K=6)24.35—Unverified
3Constant velocity map priorbrier-minFDE (K=6)23.39—Unverified
4DQSbrier-minFDE (K=6)12.88—Unverified
5xjtub09brier-minFDE (K=6)11.46—Unverified
6suubrier-minFDE (K=6)9.51—Unverified
7yellowtaxibrier-minFDE (K=6)8.86—Unverified
8Online_CLbrier-minFDE (K=6)8.75—Unverified
9RuShengbrier-minFDE (K=6)8.38—Unverified
10mmmdddbrier-minFDE (K=6)8.26—Unverified