We exploit the complementary strengths of vision and proprioception to
a...
The prediction of stock price movement direction is significant in finan...
Legged locomotion is commonly studied and expressed as a discrete set of...
In this paper, we present a derivative-based, functional recognizer and
...
In this work, we present a robotic solution to automate the task of wall...
Successful real-world deployment of legged robots would require them to ...
Standardized body region labelling of individual images provides data th...
In this work, we present a pragmatic approach to enable unmanned aerial
...
In this work, we propose an information theory based framework DeepMI to...
In this work, we propose a novel framework shape back-projection for
com...
In this paper, we present a semi supervised deep quick learning framewor...
We propose an end-to-end real time framework to generate high resolution...
In this paper, an algorithm is aimed to make a cryptosystem for gray lev...
Deep convolutional networks have been quite successful at various image
...
One of the main challenges in the vision-based grasping is the selection...
Success stories of applied machine learning can be traced back to the
da...
Hierarchies are an effective way to boost sample efficiency in reinforce...
This paper develops the FastRNN and FastGRNN algorithms to address the t...
Visual Tracking is a complex problem due to unconstrained appearance
var...
Humans routinely retrace paths in a novel environment both forwards and
...
Particle Filter(PF) is used extensively for estimation of target Non-lin...