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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 126–150 of 163 papers

TitleStatusHype
MarsLGPR: Mars Rover Localization with Ground Penetrating Radar—0
Shape constrained CNN for segmentation guided prediction of myocardial shape and pose parameters in cardiac MRI—0
Simple Baseline for Single Human Motion Forecasting—0
SMOC-Net: Leveraging Camera Pose for Self-Supervised Monocular Object Pose Estimation—0
SpaRP: Fast 3D Object Reconstruction and Pose Estimation from Sparse Views—0
StablePose: Learning 6D Object Poses from Geometrically Stable Patches—0
Structure-based drug design with geometric deep learning—0
Template-Guided 3D Molecular Pose Generation via Flow Matching and Differentiable Optimization—0
The 8-Point Algorithm as an Inductive Bias for Relative Pose Prediction by ViTs—0
Towards a large-scale fused and labeled dataset of human pose while interacting with robots in shared urban areas—0
TrajectoryNet: a new spatio-temporal feature learning network for human motion prediction—0
TrajeVAE: Controllable Human Motion Generation from Trajectories—0
Uni-Mol: A Universal 3D Molecular Representation Learning Framework—0
Unsupervised Domain Adaptation for Occlusion Resilient Human Pose Estimation—0
UPTor: Unified 3D Human Pose Dynamics and Trajectory Prediction for Human-Robot Interaction—0
Vision-Based Neurosurgical Guidance: Unsupervised Localization and Camera-Pose Prediction—0
Weakly Supervised 3D Hand Pose Estimation via Biomechanical Constraints—0
ZeroGrasp: Zero-Shot Shape Reconstruction Enabled Robotic Grasping—0
Self-Constrained Inference Optimization on Structural Groups for Human Pose Estimation—0
Self-Corrected Multimodal Large Language Model for End-to-End Robot Manipulation—0
Shape Constrained CNN for Cardiac MR Segmentation with Simultaneous Prediction of Shape and Pose Parameters—0
Segmentation-driven 6D Object Pose EstimationCode0
A Deep Learning Ensemble Framework for Off-Nadir Geocentric Pose PredictionCode0
Dynamic multi-object Gaussian process models: A framework for data-driven functional modelling of human jointsCode0
Self-supervised learning of object pose estimation using keypoint predictionCode0
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