no code implementations • 19 May 2017 • Simiao Yu, Hao Dong, Guang Yang, Greg Slabaugh, Pier Luigi Dragotti, Xujiong Ye, Fangde Liu, Simon Arridge, Jennifer Keegan, David Firmin, Yike Guo
Fast Magnetic Resonance Imaging (MRI) is highly in demand for many clinical applications in order to reduce the scanning cost and improve the patient experience.
2 code implementations • ICCV 2017 • Hao Dong, Simiao Yu, Chao Wu, Yike Guo
In this paper, we propose a way of synthesizing realistic images directly with natural language description, which has many useful applications, e. g. intelligent image manipulation.
2 code implementations • 26 Jul 2017 • Hao Dong, Akara Supratak, Luo Mai, Fangde Liu, Axel Oehmichen, Simiao Yu, Yike Guo
Deep learning has enabled major advances in the fields of computer vision, natural language processing, and multimedia among many others.
no code implementations • 19 May 2018 • Simiao Yu, Hao Dong, Pan Wang, Chao Wu, Yike Guo
Bionic design refers to an approach of generative creativity in which a target object (e. g. a floor lamp) is designed to contain features of biological source objects (e. g. flowers), resulting in creative biologically-inspired design.
no code implementations • 27 Jan 2020 • Vincent Moens, Simiao Yu, Gholamreza Salimi-Khorshidi
This paper shows that most of the existing convolutional architectures define, at initialisation, a specific feature importance landscape that conditions their capacity to attend to different locations of the images later during training or even at test time.
no code implementations • 27 Feb 2020 • Danijela Horak, Simiao Yu, Gholamreza Salimi-Khorshidi
Automatic evaluation of the goodness of Generative Adversarial Networks (GANs) has been a challenge for the field of machine learning.
no code implementations • 28 Mar 2021 • Pan Wang, Danlin Peng, Simiao Yu, Chao Wu, Peter Childs, Yike Guo, Ling Li
A recurrent neural network is used as the encoder to learn latent representation from electroencephalogram (EEG) signals, recorded while subjects looked at 50 categories of images.