2017 Milner Award Lecture given by Professor Andrew Zisserman FRS.
How can a computer recognise people and what they are doing and saying in a video stream? The answer is by learning, and learning can take many different forms.
One form is known as 'strong supervision': this is when a computer is shown many (thousands) of examples of a person or the action they are doing, and from this it learns a model to classify the video. Another form of learning is known as 'weak' or 'self-supervision': this is when the computer learns directly from the structure of a video stream.
This lecture will explain how both forms of supervision can be used to train neural networks using deep learning. It will be illustrated throughout with examples including: recognising people by their faces, recognising human actions, automated lip reading, and using both sound and images in concord for training.
The prize lecture will be webcast live and the video recording of the event will be available shortly after the event.
Attending the event
Free to attend
No registration required
Doors open from 18:00, and seats are allocated on a first-come, first-served basis
- This event may be popular, and entry cannot be guaranteed
- Live subtitles will be available
British Sign Language interpretation will be available on request. Please let the Scientific Programmes team know if you plan to attend at least two weeks prior to the event.
Travel and accessibility information
The Royal Society Milner Award, kindly supported by Microsoft Research, is given annually for outstanding achievement in computer science by a European researcher.
The award replaces the Royal Society and Académie des sciences Microsoft Award and is named in honour of Professor Robin Milner FRS (1934-2010), a pioneer in computer science.
Professor Andrew Zisserman FRS was awarded the 2017 Milner Award in recognition of his exceptional achievements in computer programming which includes work on computational theory and commercial systems for geometrical images.
For all enquiries, please contact the Scientific Programmes team.