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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 51–100 of 162 papers

TitleStatusHype
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
ALIEN: Implicit Neural Representations for Human Motion Prediction under Arbitrary Latency—0
Vision-Guided Action: Enhancing 3D Human Motion Prediction with Gaze-informed Affordance in 3D Scenes—0
LAL: Enhancing 3D Human Motion Prediction with Latency-aware Auxiliary Learning—0
Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction—0
Temporal Dynamics Decoupling with Inverse Processing for Enhancing 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
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
Towards Practical Human Motion Prediction with LiDAR Point Clouds—0
Past Movements-Guided Motion Representation Learning for Human Motion PredictionCode0
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
AdvMT: Adversarial Motion Transformer for Long-term Human Motion Prediction—0
MoML: Online Meta Adaptation for 3D Human Motion Prediction—0
Rethinking Human Motion Prediction with Symplectic Integral—0
Forecasting of 3D Whole-body Human Poses with Grasping Objects—0
GazeMoDiff: Gaze-guided Diffusion Model for Stochastic Human Motion Prediction—0
Recent Advances in Deterministic Human Motion Prediction: A Review—0
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
Multiscale Residual Learning of Graph Convolutional Sequence Chunks for Human Motion PredictionCode0
Spatio-Temporal Branching for Motion Prediction using Motion IncrementsCode0
Learning Snippet-to-Motion Progression for Skeleton-based Human Motion Prediction—0
Physics-constrained Attack against Convolution-based Human Motion PredictionCode0
Remembering What Is Important: A Factorised Multi-Head Retrieval and Auxiliary Memory Stabilisation Scheme for Human Motion Prediction—0
Towards Accurate Human Motion Prediction via Iterative Refinement—0
A Neuro-Symbolic Approach for Enhanced Human Motion PredictionCode0
DeFeeNet: Consecutive 3D Human Motion Prediction with Deviation Feedback—0
Graph-Guided MLP-Mixer for Skeleton-Based Human Motion Prediction—0
SPOTR: Spatio-temporal Pose Transformers for Human Motion Prediction—0
Decompose More and Aggregate Better: Two Closer Looks at Frequency Representation Learning for Human Motion Prediction—0
Few-shot human motion prediction for heterogeneous sensorsCode0
Human Joint Kinematics Diffusion-Refinement for Stochastic Motion Prediction—0
KP-RNN: A Deep Learning Pipeline for Human Motion Prediction and Synthesis of Performance ArtCode0
DMMGAN: Diverse Multi Motion Prediction of 3D Human Joints using Attention-Based Generative Adverserial Network—0
Overlooked Poses Actually Make Sense: Distilling Privileged Knowledge for Human Motion Prediction—0
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