2017 Milner Award Lecture @ The Royal Society, London [22 November]

2017 Milner Award Lecture


54
22
November
18:30 - 19:30

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The Royal Society
6-9 Carlton House Terrace, SW1Y 5AG London, United Kingdom
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 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.

Join us to discover 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.

For more information, please follow the link: royalsociety.org/science-events-and-lectures/2017/11/milner-lecture/
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