2017 Milner Award Lecture by Professor Andrew Zisserman FRS.
How can a computer understand what is happening in a video? 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 where there is 'strong supervision' - the computer is shown many (thousands) of examples of the person or the action they are doing, and from this it learns a model to classify the video. Another form of learning is where there is 'weak' or 'self-supervision' - the computer learns directly from the structure of the 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
This event is free to attend and no registration is required.
Doors open from 18:00, and seats are allocated on a first-come, first-served basis.
If you need to use the live subtitles, please let the Scientific Programmes Team know using the email below.
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.