SOTAVerified

Human motion prediction

Action prediction is a pre-fact video understanding task, which focuses on future states, in other words, it needs to reason about future states or infer action labels before the end of action execution.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–150 of 162 papers

TitleStatusHype
Online Multi-Agent Forecasting with Interpretable Collaborative Graph Neural Network—0
Improving Human Motion Prediction Through Continual Learning—0
Towards Accurate 3D Human Motion Prediction From Incomplete Observations—0
Multi-level Motion Attention for Human Motion PredictionCode1
A structured latent space for human body motion generation—0
An Attractor-Guided Neural Networks for Skeleton-Based Human Motion Prediction—0
Multi-Person Extreme Motion PredictionCode1
Human Motion Prediction Using Manifold-Aware Wasserstein GAN—0
Temporal Consistency Two-Stream CNN for Human Motion Prediction—0
Learning Multiscale Correlations for Human Motion Prediction—0
Aggregated Multi-GANs for Controlled 3D Human Motion PredictionCode0
On complementing end-to-end human behavior predictors with planning—0
3D Human motion anticipation and classification—0
Multi-grained Trajectory Graph Convolutional Networks for Habit-unrelated Human Motion Prediction—0
Long Term Motion Prediction Using KeyposesCode0
We are More than Our Joints: Predicting how 3D Bodies Move—0
Forecasting Characteristic 3D Poses of Human Actions—0
Adversarial Refinement Network for Human Motion Prediction—0
SDMTL: Semi-Decoupled Multi-grained Trajectory Learning for 3D human motion prediction—0
Motion Prediction Using Temporal Inception ModuleCode1
Generative Model-Enhanced Human Motion PredictionCode1
Learning Progressive Joint Propagation for Human Motion Prediction—0
History Repeats Itself: Human Motion Prediction via Motion AttentionCode1
Multitask Non-Autoregressive Model for Human Motion Prediction—0
Long-term Human Motion Prediction with Scene ContextCode1
Dynamic Multiscale Graph Neural Networks for 3D Skeleton Based Human Motion PredictionCode1
Learning Dynamic Relationships for 3D Human Motion PredictionCode0
A Stochastic Conditioning Scheme for Diverse Human Motion Prediction—0
DAG-Net: Double Attentive Graph Neural Network for Trajectory ForecastingCode1
DeepSSM: Deep State-Space Model for 3D Human Motion PredictionCode0
A Spatio-temporal Transformer for 3D Human Motion PredictionCode1
ArTIST: Autoregressive Trajectory Inpainting and Scoring for Tracking—0
DLow: Diversifying Latent Flows for Diverse Human Motion PredictionCode1
Dynamic Multiscale Graph Neural Networks for 3D Skeleton-Based Human Motion PredictionCode1
Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory PredictionCode1
Contextually Plausible and Diverse 3D Human Motion Prediction—0
The Garden of Forking Paths: Towards Multi-Future Trajectory PredictionCode1
A Hamilton-Jacobi Reachability-Based Framework for Predicting and Analyzing Human Motion for Safe Planning—0
Structured Prediction Helps 3D Human Motion ModellingCode0
Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction—0
TrajectoryNet: a new spatio-temporal feature learning network for human motion prediction—0
Human Motion Prediction via Spatio-Temporal InpaintingCode0
Spatiotemporal Co-attention Recurrent Neural Networks for Human-Skeleton Motion Prediction—0
Learning Trajectory Dependencies for Human Motion PredictionCode1
Learning Variations in Human Motion via Mix-and-Match Perturbation—0
PVRED: A Position-Velocity Recurrent Encoder-Decoder for Human Motion PredictionCode0
Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANsCode0
Human Motion Prediction via Pattern Completion in Latent Representation Space—0
Context-aware Human Motion Prediction—0
Human Motion Prediction via Learning Local Structure Representations and Temporal DependenciesCode0
Show:102550
← PrevPage 3 of 4Next →

No leaderboard results yet.