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Found 8 papers, 2 papers with code
Max Pooling with Vision Transformers reconciles class and shape in weakly supervised semantic segmentation
On the other hand, WSSS methods based on Vision Transformers (ViT) have not yet explored valid alternatives to CAM.
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.
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.
Vision-based deep execution monitoring
Execution monitor of high-level robot actions can be effectively improved by visual monitoring the state of the world in terms of preconditions and postconditions that hold before and after the execution of an action.
Single Image Object Modeling Based on BRDF and R-Surfaces Learning
A methodology for 3D surface modeling from a single image is proposed.
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.
