The centre’s research will allow robots to see, to understand their environment using the sense of vision. This is the missing capability that currently prevents robots from performing useful tasks in the complex, unstructured and dynamically changing environments in which we live and work.
Using Deep Learning, we are developing deep learning models that aim to identify the general health condition of a patient, using mortality as a training annotation.
In this project, we aim to take a few images of your favourite cartoon, and build a 3D mesh with a texture atlas.
Precise detection and delineation of several fetal anatomies from ultrasound using probabilistic boosting tree.
In this work, we propose the use of a hierarchical extension of expectation-maximization for the supervised learning of semantic visual classes.
This is older work on the design of representation methods using local image features.