131 citations · 302 across the 10 of their papers we have counts for
Showing 2019Show all
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cs.CV2019★ 12 cited
FTGAN: A Fully-trained Generative Adversarial Networks for Text to Face Generation
Xiang Chen, Lingbo Qing, Xiaohai He +2
As a sub-domain of text-to-image synthesis, text-to-face generation has huge potentials in public safety domain. With lack of dataset, there are almost no related research focusing…
eess.IV2019★ 114 cited
Accurate and Fast reconstruction of Porous Media from Extremely Limited Information Using Conditional Generative Adversarial Network
Junxi Feng, Xiaohai He, Qizhi Teng +3
Porous media are ubiquitous in both nature and engineering applications, thus their modelling and understanding is of vital importance. In contrast to direct acquisition of three-d…
cs.CY2019
Capturing the symptoms of malicious code in electronic documents by file's entropy signal combined with Machine learning
Luping Liu, Xiaohai He, Liang Liu +3
Abstract-Email cyber-attacks based on malicious documents have become the popular techniques in today's sophisticated attacks. In the past, persistent efforts have been made to det…