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Found 8 papers, 1 papers with code
Deep execution monitor for robot assistive tasks
We consider a novel approach to high-level robot task execution for a robot assistive task.
Visual search and recognition for robot task execution and monitoring
Visual search of relevant targets in the environment is a crucial robot skill.
Anticipation and next action forecasting in video: an end-to-end model with memory
Action anticipation and forecasting in videos do not require a hat-trick, as far as there are signs in the context to foresee how actions are going to be deployed.
Discovery and recognition of motion primitives in human activities
Given new video data and given the estimated pose of the subject appearing on the video, the motion is segmented into primitives, which are recognized with a probability given according to the parameters of the learned models.
Single Image Object Modeling Based on BRDF and R-Surfaces Learning
A methodology for 3D surface modeling from a single image is proposed.
Confidence driven TGV fusion
We introduce a novel model for spatially varying variational data fusion, driven by point-wise confidence values.
Bayesian Non-Parametric Inference for Manifold Based MoCap Representation
We propose a novel approach to human action recognition, with motion capture data (MoCap), based on grouping sub-body parts.
Component-Wise Modeling of Articulated Objects
We introduce a novel framework for modeling articulated objects based on the aspects of their components.
