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Found 9 papers, 0 papers with code
Joint Prediction of Monocular Depth and Structure using Planar and Parallax Geometry
Supervised learning depth estimation methods can achieve good performance when trained on high-quality ground-truth, like LiDAR data.
Skeletal Human Action Recognition using Hybrid Attention based Graph Convolutional Network
However, in most existing Graph Convolutional Networks, the local attention mask is defined based on natural connections of human skeleton joints and ignores the dynamic relations for example between head, hands and feet joints.
Robust Event Detection based on Spatio-Temporal Latent Action Unit using Skeletal Information
Our approach achieves the bestperformance on precision and accuracy of human fall event detection, compared with other existing dictionary learning methods.
Optical Navigation in Unstructured Dynamic Railroad Environments
We present an approach for optical navigation in unstructured, dynamic railroad environments.
Classifying Object Manipulation Actions based on Grasp-types and Motion-Constraints
Due to the variations in geometrical and motion constraints, there are different manipulations actions possible to perform different sets of actions with an object.
Interaction-Aware Probabilistic Behavior Prediction in Urban Environments
Planning for autonomous driving in complex, urban scenarios requires accurate prediction of the trajectories of surrounding traffic participants.
Direct Pose Estimation with a Monocular Camera
We present a direct method to calculate a 6DoF pose change of a monocular camera for mobile navigation.
Monocular Navigation in Large Scale Dynamic Environments
We present a processing technique for a robust reconstruction of motion properties for single points in large scale, dynamic environments.
Motion Estimated-Compensated Reconstruction with Preserved-Features in Free-Breathing Cardiac MRI
The proposed method is a joint image reconstruction and motion correction method consisting of several steps, including a non-rigid motion extraction and a motion-compensated reconstruction.
