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Pound, Michael P., Atkinson, Jonathan A., Townsend, Alexandra J., Wilson, Michael H., Griffiths, Marcus, Jackson, Aaron S., Bulat, Adrian, Tzimiropoulos, Georgios, Wells, Darren M., Murchie, Erik H., Pridmore, Tony P. and French, Andrew P. (2017) Deep machine learning provides state-of-the-art performance in image-based plant phenotyping. GigaScience, 6 (10). pp. 1-10. ISSN 2047-217X

Conference or Workshop Item

Bulat, Adrian and Tzimiropoulos, Georgios (2018) Super-FAN: integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with GANs. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018), 18-22 June 2018, Salt Lake City, Utah, USA.

Bulat, Adrian and Tzimiropoulos, Georgios (2017) Binarized convolutional landmark localizers for human pose estimation and face alignment with limited resources. In: International Conference on Computer Vision (ICCV17), 22-29 Oct 2017, Venice, Italy.

Bulat, Adrian and Tzimiropoulos, Georgios (2017) How far are we from solving the 2D & 3D face alignment problem? (and a dataset of 230,000 3D facial landmarks). In: International Conference on Computer Vision (ICCV17), 22-29 Oct 2017, Venice, Italy.

Jackson, Aaron S., Bulat, Adrian, Argyriou, Vasileios and Tzimiropoulos, Georgios (2017) Large pose 3D face reconstruction from a single image via direct volumetric CNN regression. In: International Conference on Computer Vision (ICCV17), 22-29 Oct 2017, Venice, Italy.

Bulat, Adrian and Tzimiropoulos, Georgios (2016) Human pose estimation via convolutional part heatmap regression. In: 14th European Conference on Computer Vision (EECV 2016), 8-16 October 2016, Amsterdam, Netherlands.

Bulat, Adrian and Tzimiropoulos, Georgios (2016) Convolutional aggregation of local evidence for large pose face alignment. In: BMCV 2016, 19-22 September 2016, York, U.K..

Thesis (University of Nottingham only)

Bulat, Adrian (2019) Deep learning for real world face alignment. PhD thesis, University of Nottingham.

Other

Pound, Michael P., Burgess, Alexandra J., Wilson, Michael H., Atkinson, Jonathan A., Griffiths, Marcus, Jackson, Aaron S., Bulat, Adrian, Tzimiropoulos, Yorgos, Wells, Darren M., Murchie, Erik H., Pridmore, Tony P. and French, Andrew P. (2016) Deep machine learning provides state-of-the art performance in image-based plant phenotyping. Cold Spring Harbor Laboratory.