Papers Human motion prediction
“Human motion prediction” 태그가 달린 논문 162편 · 필터 해제
Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic
Action-driven stochastic human motion prediction aims to generate future motion sequences of a pre-defined target action based on given past observed sequences performing non-target actions. This task primarily presents …
Human motion predictionmotion predictionStochastic Human Motion PredictionTemporal Continual Learning with Prior Compensation for Human Motion Prediction
Human Motion Prediction (HMP) aims to predict future poses at different moments according to past motion sequences. Previous approaches have treated the prediction of various moments equally, resulting in two main limita…
Continual LearningHuman motion predictionmotion predictionCacheFlow: Fast Human Motion Prediction by Cached Normalizing Flow
Many density estimation techniques for 3D human motion prediction require a significant amount of inference time, often exceeding the duration of the predicted time horizon. To address the need for faster density estimat…
Density EstimationHuman motion predictionmotion predictionPredictionMulti-Resolution Haar Network: Enhancing human motion prediction via Haar transform
The 3D human pose is vital for modern computer vision and computer graphics, and its prediction has drawn attention in recent years. 3D human pose prediction aims at forecasting a human's future motion from the previous …
Human motion predictionmotion predictionPose PredictionHuman Motion Prediction via Test-domain-aware Adaptation with Easily-available Human Motions Estimated from Videos
In 3D Human Motion Prediction (HMP), conventional methods train HMP models with expensive motion capture data. However, the data collection cost of such motion capture data limits the data diversity, which leads to poor …
DiversityHuman motion predictionmotion predictionEnhancing Human Motion Prediction via Multi-range Decoupling Decoding with Gating-adjusting Aggregation
Expressive representation of pose sequences is crucial for accurate motion modeling in human motion prediction (HMP). While recent deep learning-based methods have shown promise in learning motion representations, these …
Human motion predictionmotion predictionPredictionRepresentation LearningHVIS: A Human-like Vision and Inference System for Human Motion Prediction
Grasping the intricacies of human motion, which involve perceiving spatio-temporal dependence and multi-scale effects, is essential for predicting human motion. While humans inherently possess the requisite skills to nav…
Human motion predictionmotion predictionNavigateHuman Motion Prediction, Reconstruction, and Generation
This report reviews recent advancements in human motion prediction, reconstruction, and generation. Human motion prediction focuses on forecasting future poses and movements from historical data, addressing challenges li…
Human motion predictionHuman-Object Interaction DetectionMotion Generationmotion prediction+2Nonisotropic Gaussian Diffusion for Realistic 3D Human Motion Prediction
Probabilistic human motion prediction aims to forecast multiple possible future movements from past observations. While current approaches report high diversity and realism, they often generate motions with undetected li…
DiversityHuman motion predictionInductive Biasmotion predictionLAL: Enhancing 3D Human Motion Prediction with Latency-aware Auxiliary Learning
Making accurate prediction of human motions based on the historical observation is a crucial technology for robots to collaborate with humans. Existing human motion prediction methods are all built under an ideal ass…
Auxiliary LearningHuman motion predictionmotion predictionPredictionALIEN: Implicit Neural Representations for Human Motion Prediction under Arbitrary Latency
We investigate a new task in human motion prediction, which aims to forecast future body poses from historically observed sequences while accounting for arbitrary latency. This differs from existing works that assume…
Human motion predictionMambamotion predictionMulti-Task Learning+1Vision-Guided Action: Enhancing 3D Human Motion Prediction with Gaze-informed Affordance in 3D Scenes
Recent advances in human motion prediction (HMP) have shifted focus from isolated motion data to integrating human-scene correlations. In particular, the latest methods leverage human gaze points, using their spatial…
Human motion predictionHuman-Object Interaction Detectionmotion predictionSpatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction
Human motion prediction (HMP) involves forecasting future human motion based on historical data. Graph Convolutional Networks (GCNs) have garnered widespread attention in this field for their proficiency in capturing rel…
Human motion predictionmotion predictionTransfer LearningTemporal Dynamics Decoupling with Inverse Processing for Enhancing Human Motion Prediction
Exploring the bridge between historical and future motion behaviors remains a central challenge in human motion prediction. While most existing methods incorporate a reconstruction task as an auxiliary task into the deco…
DecoderHuman motion predictionmotion predictionPredictionMulti-Scale Incremental Modeling for Enhanced Human Motion Prediction in Human-Robot Collaboration
Accurate human motion prediction is crucial for safe human-robot collaboration but remains challenging due to the complexity of modeling intricate and variable human movements. This paper presents Parallel Multi-scale In…
Human motion predictionmotion predictionPredictionMotionWavelet: Human Motion Prediction via Wavelet Manifold Learning
Modeling temporal characteristics and the non-stationary dynamics of body movement plays a significant role in predicting human future motions. However, it is challenging to capture these features due to the subtle trans…
DenoisingHuman motion predictionmotion predictionPredictionDiVR: incorporating context from diverse VR scenes for human trajectory prediction
Virtual environments provide a rich and controlled setting for collecting detailed data on human behavior, offering unique opportunities for predicting human trajectories in dynamic scenes. However, most existing approac…
Human motion predictionmotion predictionTrajectory ModelingTrajectory PredictionMulti-Transmotion: Pre-trained Model for Human Motion Prediction
The ability of intelligent systems to predict human behaviors is crucial, particularly in fields such as autonomous vehicle navigation and social robotics. However, the complexity of human motion have prevented the devel…
Human motion predictionmotion predictionPose PredictionPrediction+1BadHMP: Backdoor Attack against Human Motion Prediction
Precise future human motion prediction over subsecond horizons from past observations is crucial for various safety-critical applications. To date, only one study has examined the vulnerability of human motion prediction…
Backdoor AttackHuman motion predictionmotion predictionPredictionBayesian-Optimized One-Step Diffusion Model with Knowledge Distillation for Real-Time 3D Human Motion Prediction
Human motion prediction is a cornerstone of human-robot collaboration (HRC), as robots need to infer the future movements of human workers based on past motion cues to proactively plan their motion, ensuring safety in cl…
Bayesian OptimizationHuman motion predictionKnowledge Distillationmotion prediction+1