372 citations · 573 across the 34 of their papers we have counts for
7 papers · 1 filter
Fast Task-Specific Target Detection via Graph Based Constraints Representation and Checking
Went Luan, Yezhou Yang, Cornelia Fermuller +1
In this work, we present a fast target detection framework for real-world robotics applications. Considering that an intelligent agent attends to a task-specific object target duri…
Reliable Attribute-Based Object Recognition Using High Predictive Value Classifiers
Wentao Luan, Yezhou Yang, Cornelia Fermuller +1
We consider the problem of object recognition in 3D using an ensemble of attribute-based classifiers. We propose two new concepts to improve classification in practical situations,…
Prediction of Manipulation Actions
Cornelia Fermüller, Fang Wang, Yezhou Yang +4
Looking at a person's hands one often can tell what the person is going to do next, how his/her hands are moving and where they will be, because an actor's intentions shape his/her…
Co-active Learning to Adapt Humanoid Movement for Manipulation
Ren Mao, John S. Baras, Yezhou Yang +1
In this paper we address the problem of robot movement adaptation under various environmental constraints interactively. Motion primitives are generally adopted to generate target…
LightNet: A Versatile, Standalone Matlab-based Environment for Deep Learning
Chengxi Ye, Chen Zhao, Yezhou Yang +2
LightNet is a lightweight, versatile and purely Matlab-based deep learning framework. The idea underlying its design is to provide an easy-to-understand, easy-to-use and efficient…
What Can I Do Around Here? Deep Functional Scene Understanding for Cognitive Robots
Chengxi Ye, Yezhou Yang, Cornelia Fermuller +1
For robots that have the capability to interact with the physical environment through their end effectors, understanding the surrounding scenes is not merely a task of image classi…