1 code implementation • 13 May 2020 • Junfeng Wu, Zhenjie Tang, Congan Xu, Enhai Liu, Long Gao, Wenjun Yan
SRDA-Net can simultaneously achieve the super-resolution task and the domain adaptation task, thus satisfying the requirement of semantic segmentation for remote sensing images which usually involve various resolution images.
no code implementations • 30 Oct 2019 • Wenjun Yan, Yuanyuan Wang, Shengjia Gu, Lu Huang, Fuhua Yan, Liming Xia, Qian Tao
In this work, we proposed a generic framework to address this problem, consisting of (1) an unpaired generative adversarial network (GAN) for vendor-adaptation, and (2) a Unet for object segmentation.
no code implementations • 19 Oct 2019 • Wenjun Yan, Qing Ling, Limin Zhang
We apply the latest advances in machine learning with deep neural networks to the tasks of radio modulation recognition, channel coding recognition, and spectrum monitoring.
no code implementations • 20 Oct 2018 • Wenjun Yan, Yuanyuan Wang, Zeju Li, Rob J. van der Geest, Qian Tao
Quantitative assessment of left ventricle (LV) function from cine MRI has significant diagnostic and prognostic value for cardiovascular disease patients.