Deep Learning for Computer Vision
What's it about?
Recent developments in self-driving vehicles indicate that deep learning for computer vision is making giant advances but how do we train machines to see? The D2D CRC has partnered with the Innovation and Collaboration Centre at UniSA to bring you this seminar which includes presentations from three expert speakers on computer vision, followed by an interactive panel session. Commencing with a brief, but intensive, overview of the background and latest research in deep learning for computer vision, the seminar will review a number of different techniques, how they have been applied and the challenges involved. We will also be hearing a case study example of how deep learning is being applied to developing autonomous vehicles here in Adelaide.
Who's it for?
Everyone interested in understanding deep learning in relation to computer vision and how machines can be trained to identify, analyse and utilise information from images.
Dr Jason Scholz, Research Leader, Trusted Autonomous Systems, Defence Science and Technology Group
Mr Adrian Johnston, PhD Candidate, University of Adelaide
Mr Hayden Faulkner, PhD Candidate, University of Adelaide
Level 4, Catherine Helen Spence Building, Fenn Place, UniSA City West Campus (View)
Level 4, Catherine Helen Spence Building, Fenn Place, UniSA City West Campus