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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

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Showing 1–50 of 162 papers

TitleStatusHype
Temporal Continual Learning with Prior Compensation for Human Motion PredictionCode0
Stochastic Human Motion Prediction with Memory of Action Transition and Action CharacteristicCode0
Multi-Resolution Haar Network: Enhancing human motion prediction via Haar transformCode0
CacheFlow: Fast Human Motion Prediction by Cached Normalizing Flow—0
Human Motion Prediction via Test-domain-aware Adaptation with Easily-available Human Motions Estimated from Videos—0
Enhancing Human Motion Prediction via Multi-range Decoupling Decoding with Gating-adjusting Aggregation—0
HVIS: A Human-like Vision and Inference System for Human Motion Prediction—0
Human Motion Prediction, Reconstruction, and Generation—0
Nonisotropic Gaussian Diffusion for Realistic 3D Human Motion Prediction—0
Vision-Guided Action: Enhancing 3D Human Motion Prediction with Gaze-informed Affordance in 3D Scenes—0
ALIEN: Implicit Neural Representations for Human Motion Prediction under Arbitrary Latency—0
LAL: Enhancing 3D Human Motion Prediction with Latency-aware Auxiliary Learning—0
Temporal Dynamics Decoupling with Inverse Processing for Enhancing Human Motion Prediction—0
Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction—0
Multi-Scale Incremental Modeling for Enhanced Human Motion Prediction in Human-Robot Collaboration—0
MotionWavelet: Human Motion Prediction via Wavelet Manifold Learning—0
DiVR: incorporating context from diverse VR scenes for human trajectory prediction—0
Multi-Transmotion: Pre-trained Model for Human Motion PredictionCode1
BadHMP: Backdoor Attack against Human Motion Prediction—0
Bayesian-Optimized One-Step Diffusion Model with Knowledge Distillation for Real-Time 3D Human Motion Prediction—0
BAD: Bidirectional Auto-regressive Diffusion for Text-to-Motion GenerationCode2
Towards Practical Human Motion Prediction with LiDAR Point Clouds—0
Past Movements-Guided Motion Representation Learning for Human Motion PredictionCode0
Learning Semantic Latent Directions for Accurate and Controllable Human Motion PredictionCode1
neuROSym: Deployment and Evaluation of a ROS-based Neuro-Symbolic Model for Human Motion Prediction—0
Multi-Condition Latent Diffusion Network for Scene-Aware Neural Human Motion Prediction—0
Off-the-shelf ChatGPT is a Good Few-shot Human Motion Predictor—0
A Mixture of Experts Approach to 3D Human Motion PredictionCode0
Towards more realistic human motion prediction with attention to motion coordination—0
Gaze-guided Hand-Object Interaction Synthesis: Dataset and Method—0
Human Motion Prediction under Unexpected Perturbation—0
Existence Is Chaos: Enhancing 3D Human Motion Prediction with Uncertainty ConsiderationCode0
Fooling Neural Networks for Motion Forecasting via Adversarial Attacks—0
Context-based Interpretable Spatio-Temporal Graph Convolutional Network for Human Motion ForecastingCode1
AdvMT: Adversarial Motion Transformer for Long-term Human Motion Prediction—0
Forecasting of 3D Whole-body Human Poses with Grasping Objects—0
MoML: Online Meta Adaptation for 3D Human Motion Prediction—0
Rethinking Human Motion Prediction with Symplectic Integral—0
GazeMoDiff: Gaze-guided Diffusion Model for Stochastic Human Motion Prediction—0
GCNext: Towards the Unity of Graph Convolutions for Human Motion PredictionCode1
Recent Advances in Deterministic Human Motion Prediction: A Review—0
MoMask: Generative Masked Modeling of 3D Human MotionsCode3
Dynamic Dense Graph Convolutional Network for Skeleton-based Human Motion Prediction—0
Dynamic Compositional Graph Convolutional Network for Efficient Composite Human Motion PredictionCode0
Orientation-Aware Leg Movement Learning for Action-Driven Human Motion Prediction—0
Enhanced Human-Robot Collaboration using Constrained Probabilistic Human-Motion Prediction—0
InterDiff: Generating 3D Human-Object Interactions with Physics-Informed DiffusionCode2
Multiscale Residual Learning of Graph Convolutional Sequence Chunks for Human Motion PredictionCode0
Auxiliary Tasks Benefit 3D Skeleton-based Human Motion PredictionCode1
Spatio-Temporal Branching for Motion Prediction using Motion IncrementsCode0
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