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  • UserProfessor Roberto Cipolla, Cambridge University World_link
  • ClockThursday 21 March 2019, 18:30-20:00
  • HouseCUED, LT0.

If you have a question about this talk, please contact David Blake.

The last decade has seen a revolution in the theory and application of computer vision and machine learning. The talk, to be given by Professor Roberto Cipolla of Cambridge University Engineering Department, will begin with a brief review of some of the fundamentals with a few examples of the reconstruction, registration and recognition of three-dimensional objects and their translation into novel commercial applications.

Roberto will then introduce some recent results from real-time deep learning systems that exploit geometry and compute model uncertainty. Understanding what a model does not know is a critical part of safe machine learning systems. New tools, such as Bayesian deep learning, provide a framework for understanding uncertainty in deep learning models, aiding interpretability and safety of such systems. Additionally, knowledge of geometry is an important consideration in designing effective algorithms. In particular, he will explore the use of geometry to help design networks that can be trained with unlabelled data for stereo and for human body pose and shape recovery.

Roberto Cipolla obtained a B.A. (Engineering) from the University of Cambridge in 1984 and an M.S.E. (Electrical Engineering) from the University of Pennsylvania in 1985. From 1985 to 1988 he studied and worked in Japan at the Osaka University of Foreign Studies (Japanese Language) and Electrotechnical Laboratory. In 1991 he was awarded a D.Phil. (Computer Vision) from the University of Oxford and from 1991-92 was a Toshiba Fellow and engineer at the Toshiba Corporation Research and Development Centre in Kawasaki, Japan. He joined the Department of Engineering, University of Cambridge in 1992 as a Lecturer and a Fellow of Jesus College. He became a Reader in Information Engineering in 1997 and a Professor in 2000.

His research interests are in computer vision and robotics and include the recovery of motion and 3D shape of visible surfaces from image sequences; object detection and recognition; novel man-machine interfaces using hand, face and body gestures; real-time visual tracking for localisation and robot guidance; aplications of computer vision in mobile phones, visual inspection and image-retrieval and video search. He has authored 2 books, edited 12 volumes and co-authored more than 400 papers.

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