5 citations · 8 across the 6 of their papers we have counts for
6 papers
A Deep 2-Dimensional Dynamical Spiking Neuronal Network for Temporal Encoding trained with STDP
Matthew Evanusa, Cornelia Fermuller, Yiannis Aloimonos
The brain is known to be a highly complex, asynchronous dynamical system that is highly tailored to encode temporal information. However, recent deep learning approaches to not tak…
Following Instructions by Imagining and Reaching Visual Goals
John Kanu, Eadom Dessalene, Xiaomin Lin +2
While traditional methods for instruction-following typically assume prior linguistic and perceptual knowledge, many recent works in reinforcement learning (RL) have proposed learn…
Computational Tactile Flow for Anthropomorphic Grippers
Kanishka Ganguly, Behzad Sadrfaridpour, Cornelia Fermüller +1
Grasping objects requires tight integration between visual and tactile feedback. However, there is an inherent difference in the scale at which both these input modalities operate.…
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…