Search Results for author: Wenjun Yan

Found 4 papers, 1 papers with code

Super-Resolution Domain Adaptation Networks for Semantic Segmentation via Pixel and Output Level Aligning

1 code implementation13 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.

Segmentation Semantic Segmentation +2

The Domain Shift Problem of Medical Image Segmentation and Vendor-Adaptation by Unet-GAN

no code implementations30 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.

Generative Adversarial Network Image Segmentation +3

Convolutional Neural Networks for Space-Time Block Coding Recognition

no code implementations19 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.

BIG-bench Machine Learning

Left Ventricle Segmentation via Optical-Flow-Net from Short-axis Cine MRI: Preserving the Temporal Coherence of Cardiac Motion

no code implementations20 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.

Left Ventricle Segmentation LV Segmentation +2

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