I have broad interests in computer and robotic vision, machine learning, probabilistic graphical models, and optimization. My main research focus is on the application of machine learning techniques (specifically, structured probablistic models and, more recently, deep learning) to geometric and semantic scene understanding. I am also interested in seeing research get used; I collaborate with industry and have previously been involved in founding start-up companies.

Stephen Gould is a Professor of Computer Science at the Australian National University. He is a former ARC Postdoctoral Fellow and Microsoft Faculty
Fellow, and is a Contributed Researcher to the Data61 Machine Learning group and a Chief Investigator with the Australian
Research Council Centre of Excellence in Robotic Vision. Stephen received his BSc degree in mathematics and computer
science and BE degree in electrical engineering from the University of Sydney in 1994 and 1996, respectively. He received
his MS degree in electrical engineering from Stanford University in 1998. He then worked in industry for a number of years
where he co-founded Sensory Networks, which sold to Intel in 2013. In 2005 he returned to PhD studies and earned his PhD
degree in Electrical Engineering from Stanford University in 2010. Stephen has broad interests in the areas of computer and
robotic vision, machine learning, probabilistic graphical models, and optimization. His main research focus is on automatic
semantic and geometric understanding of images and videos.

Plese see my webpage http://users.cecs.anu.edu.au/~sgould