Thesis
Multi-Modal Deep Learning for Computer Vision and Its Application
- Abstract:
-
Although the exponential growth of visual data in various forms, such as images and videos, enables unprecedented opportunities for us to interpret the surrounding environment, natural language is still the main way to convey knowledge and information among us. Therefore, there is currently an increasing demand for building a framework to achieve interaction between pieces of information from different modalities. In this thesis, I investigate three directions to achieve an effective interac...
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Authors
Contributors
+ Lukasiewicz, T
- Institution:
- University of Oxford
- Division:
- MPLS
- Department:
- Computer Science
- Sub department:
- Computer Science
- Role:
- Supervisor
- ORCID:
- 0000-0002-7644-1668
+ Wooldridge, M
- Institution:
- University of Oxford
- Division:
- MPLS
- Department:
- Computer Science
- Sub department:
- Computer Science
- Role:
- Supervisor
- ORCID:
- 0000-0002-9329-8410
+ AXA Chair Funding
More from this funder
- Grant:
- CS2020_AXA_1147620
- Programme:
- DPhil in Computer Science at the University of Oxford
- DOI:
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- University of Oxford
- Language:
-
English
- Keywords:
- Subjects:
- Deposit date:
-
2023-11-04
Terms of use
- Copyright holder:
- Li, B
- Copyright date:
- 2023
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