This PhD project is offered on a self-funding basis. It is open to applicants with funding or those applying to funding sources. Details of tuition fees can be found at View Website.
A bench fee is also payable on top of the tuition fee to cover specialist equipment or laboratory costs required for the research. The amount charged annually will vary considerably depending on the nature of the project and applicants should contact the primary supervisor for further information about the fee associated with the project.
i) Eigen, David, Christian Puhrsch, and Rob Fergus. "Depth map prediction from a single image using a multi-scale deep network." Advances in neural information processing systems. 2014.
ii) Garg, Ravi, et al. "Unsupervised cnn for single view depth estimation: Geometry to the rescue." ECCV. Springer, Cham, 2016.
iii) Godard, Clément, Oisin Mac Aodha, and Gabriel J. Brostow. "Unsupervised monocular depth estimation with left-right consistency." CVPR. Vol. 2. No. 6. 2017.
iv) Finlayson, Graham, Gong, Han, and Fisher, Robert. "Color Homography: theory and applications." IEEE Transactions on Pattern Analysis and Machine Intelligence (2017).
v) Liu, Ming-Yu, Thomas Breuel, and Jan Kautz. "Unsupervised image-to-image translation networks." Advances in Neural Information Processing Systems. 2017.