54 citations · 110 across the 4 of their papers we have counts for
4 papers
Semi-Cycled Generative Adversarial Networks for Real-World Face Super-Resolution
Hao Hou, Jun Xu, Yingkun Hou +3
Real-world face super-resolution (SR) is a highly ill-posed image restoration task. The fully-cycled Cycle-GAN architecture is widely employed to achieve promising performance on f…
NLHD: A Pixel-Level Non-Local Retinex Model for Low-Light Image Enhancement
Hao Hou, Yingkun Hou, Yuxuan Shi +2
Retinex model has been applied to low-light image enhancement in many existing methods. More appropriate decomposition of a low-light image can help achieve better image enhancemen…
Robust Screening of COVID-19 from Chest X-ray via Discriminative Cost-Sensitive Learning
Tianyang Li, Zhongyi Han, Benzheng Wei +3
This paper addresses the new problem of automated screening of coronavirus disease 2019 (COVID-19) based on chest X-rays, which is urgently demanded toward fast stopping the pandem…
Unifying Neural Learning and Symbolic Reasoning for Spinal Medical Report Generation
Zhongyi Han, Benzheng Wei, Yilong Yin +1
Automated medical report generation in spine radiology, i.e., given spinal medical images and directly create radiologist-level diagnosis reports to support clinical decision makin…