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Pose Prediction

Pose prediction is to predict future poses given a window of previous poses.

Papers

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Showing 51–75 of 163 papers

TitleStatusHype
CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose EstimationCode1
Towards Robust and Unconstrained Full Range of Rotation Head Pose EstimationCode1
3D Human Pose Regression using Graph Convolutional NetworkCode0
A Deep Learning Ensemble Framework for Off-Nadir Geocentric Pose PredictionCode0
DeepRLI: A Multi-objective Framework for Universal Protein--Ligand Interaction PredictionCode0
Uni-Mol: A Universal 3D Molecular Representation Learning FrameworkCode0
Towards 3D Human Pose Estimation in the Wild: a Weakly-supervised ApproachCode0
Sparse Prototype Network for Explainable Pedestrian Behavior PredictionCode0
Segmentation-driven 6D Object Pose EstimationCode0
Self-supervised learning of object pose estimation using keypoint predictionCode0
Exploring Mutual Cross-Modal Attention for Context-Aware Human Affordance GenerationCode0
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose EstimationCode0
Estimating 6D Pose From Localizing Designated Surface KeypointsCode0
Real-Time Seamless Single Shot 6D Object Pose PredictionCode0
Actional-Structural Graph Convolutional Networks for Skeleton-based Action RecognitionCode0
SketchParse : Towards Rich Descriptions for Poorly Drawn Sketches using Multi-Task Hierarchical Deep NetworksCode0
Predcnn: Predictive learning with cascade convolutionsCode0
Protein-Ligand Scoring with Convolutional Neural NetworksCode0
Dynamic multi-object Gaussian process models: A framework for data-driven functional modelling of human jointsCode0
Multi-Resolution Haar Network: Enhancing human motion prediction via Haar transformCode0
Harvesting Multiple Views for Marker-less 3D Human Pose Annotations—0
Generative Lifting of Multiview to 3D from Unknown Pose: Wrapping NeRF inside Diffusion—0
Fusing Structure from Motion and Simulation-Augmented Pose Regression from Optical Flow for Challenging Indoor Environments—0
Discovering Relationships between Object Categories via Universal Canonical Maps—0
Fusing Convolutional Neural Network and Geometric Constraint for Image-based Indoor Localization—0
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