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Thesis

Towards diverse generation and reliable classification using neural networks

Abstract:

Humans can easily understand their surroundings, analyze the situation, and even figure out the intentions of others, all in a few seconds. However, computers see the surroundings as an array of numbers and we need to write algorithms for them to make a sense of it. It is a huge challenge but significant strides have been made toward the scene understanding problem over the last decade, thanks to an increase in computing infrastructure and datasets. However, several challenges remain in ma...

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Division:
MPLS
Department:
Engineering Science
Role:
Author

Contributors

Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Supervisor
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Supervisor
Institution:
University of Oxford
Role:
Examiner
ORCID:
0000-0001-6270-700X
Role:
Examiner
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Name:
Toyota Research Institute
Funder identifier:
http://dx.doi.org/10.13039/100015599
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford
DOI:

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