Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Adrian K. Davison"'
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 4, Pp 304-312 (2023)
In this article, we investigate the spontaneity issue in facial expression sequence generation. Current leading methods in the field are commonly reliant on manually adjusted conditional variables to direct the model to generate a specific class of e
Externí odkaz:
https://doaj.org/article/ca7fade38b284ebb9b2e8ad019129b6e
Autor:
Ke Zhao, Tong Chen, Liming Chen, Xiaolan Fu, Hongying Meng, Moi Hoon Yap, Jiajin Yuan, Adrian K. Davison
Publikováno v:
Frontiers in Psychology, Vol 13 (2022)
Externí odkaz:
https://doaj.org/article/68578d5df31e43d88a92c0536737fbc8
Publikováno v:
Journal of Imaging, Vol 7, Iss 8, p 142 (2021)
Long video datasets of facial macro- and micro-expressions remains in strong demand with the current dominance of data-hungry deep learning methods. There are limited methods of generating long videos which contain micro-expressions. Moreover, there
Externí odkaz:
https://doaj.org/article/e681cb13d4c840baa3b978ea2513fffb
Publikováno v:
Journal of Imaging, Vol 4, Iss 10, p 119 (2018)
Micro-expressions are brief spontaneous facial expressions that appear on a face when a person conceals an emotion, making them different to normal facial expressions in subtlety and duration. Currently, emotion classes within the CASME II dataset (C
Externí odkaz:
https://doaj.org/article/18efa00d632144fb95aaa7d600e20010
Autor:
Jingting Li, Moi Hoon Yap, Wen-Huang Cheng, John See, Xiaopeng Hong, Xiaobai Li, Su-Jing Wang, Adrian K. Davison, Yante Li, Zizhao Dong
Publikováno v:
Proceedings of the 30th ACM International Conference on Multimedia.
Autor:
Adrian K Davison, Helen Patrick, Paul New, Graham Dinsdale, Vicky P Taxiarchi, William G Dixon, Andy Vail, Andrea K Murray, Mark Dickinson, Christopher Taylor, Ariane L Herrick
Publikováno v:
Rheumatology. 61
Background/Aims Digital ulcers cause pain and disability in patients with systemic sclerosis (SSc). They are often used as outcome measures in clinical trials; however, trials have been hampered by a lack of reliable outcome measures of healing. Phot
Autor:
Adrian K Davison, Graham Dinsdale, Paul New, Joanne Manning, Helen Patrick, Vicky P Taxiarchi, William G Dixon, Andy Vail, Andrea K Murray, Mark Dickinson, Christopher Taylor, Ariane L Herrick
Publikováno v:
Rheumatology Advances in Practice. 6
Objective Clinical trials assessing systemic sclerosis (SSc)-related digital ulcers have been hampered by a lack of reliable outcome measures of healing. Our objective was to assess the feasibility of patients collecting high-quality mobile phone ima
Autor:
B. Layton, C. Sammut-powell, J. Harris, Claudia Lindner, Adrian K. Davison, A. Sorani, J. Lauder, M. Desancha, P. Heire
Publikováno v:
Computer Methods and Programs in Biomedicine
Lauder, J, Harris, J, Layton, B, Heire, P, Sorani, A, Desancha, M, Davison, A, Sammut-powell, C & Lindner, C 2022, ' A Fully Automatic System to Assess Foot Collapse on Lateral Weight-bearing Foot Radiographs: A Pilot Study ', Computer Methods and Programs in Biomedicine, vol. 213, 106507 . https://doi.org/10.1016/j.cmpb.2021.106507
Lauder, J, Harris, J, Layton, B, Heire, P, Sorani, A, Desancha, M, Davison, A, Sammut-powell, C & Lindner, C 2022, ' A Fully Automatic System to Assess Foot Collapse on Lateral Weight-bearing Foot Radiographs: A Pilot Study ', Computer Methods and Programs in Biomedicine, vol. 213, 106507 . https://doi.org/10.1016/j.cmpb.2021.106507
Highlights • Clinical decision support system to automatically assess radiographic changes in foot collapse. • Fully automatic generation of Meary's angle, calcaneal tilt, and cuboid height. • Good manual measurement agreement among clinical ex
Publikováno v:
Multimedia Tools and Applications. 78:21613-21628
Facial micro-expression datasets lack consistency and standardisation, with different research groups using various experimental settings, in particular, where the datasets are varied in resolution and frame rates. To provide new insights into the ro
Autor:
Moi Hoon, Yap, Gerard, Pons, Joan, Marti, Sergi, Ganau, Melcior, Sentis, Reyer, Zwiggelaar, Adrian K, Davison, Robert, Marti, Moi Hoon Yap
Publikováno v:
O2, repositorio institucional de la UOC
Universitat Oberta de Catalunya (UOC)
Yap, M H, Pons, G, Martí, J, Ganau, S, Sentís, M, Zwiggelaar, R, Davison, A K & Martí, R 2018, ' Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks ', IEEE Journal of Biomedical and Health Informatics, vol. 22, no. 4, pp. 1218-1226 . https://doi.org/10.1109/JBHI.2017.2731873
Universitat Oberta de Catalunya (UOC)
Yap, M H, Pons, G, Martí, J, Ganau, S, Sentís, M, Zwiggelaar, R, Davison, A K & Martí, R 2018, ' Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks ', IEEE Journal of Biomedical and Health Informatics, vol. 22, no. 4, pp. 1218-1226 . https://doi.org/10.1109/JBHI.2017.2731873
Breast lesion detection using ultrasound imaging is considered an important step of computer-aided diagnosis systems. Over the past decade, researchers have demonstrated the possibilities to automate the initial lesion detection. However, the lack of