32 citations · 38 across the 5 of their papers we have counts for
5 papers
Deep Co-supervision and Attention Fusion Strategy for Automatic COVID-19 Lung Infection Segmentation on CT Images
Haigen Hu, Leizhao Shen, Qiu Guan +3
Due to the irregular shapes,various sizes and indistinguishable boundaries between the normal and infected tissues, it is still a challenging task to accurately segment the infecte…
Adaptively Customizing Activation Functions for Various Layers
Haigen Hu, Aizhu Liu, Qiu Guan +3
To enhance the nonlinearity of neural networks and increase their mapping abilities between the inputs and response variables, activation functions play a crucial role to model mor…
Training Deep Neural Networks for Wireless Sensor Networks Using Loosely and Weakly Labeled Images
Qianwei Zhou, Yuhang Chen, Baoqing Li +4
Although deep learning has achieved remarkable successes over the past years, few reports have been published about applying deep neural networks to Wireless Sensor Networks (WSNs)…
Residual-Recursion Autoencoder for Shape Illustration Images
Qianwei Zhou, Peng Tao, Xiaoxin Li +3
Shape illustration images (SIIs) are common and important in describing the cross-sections of industrial products. Same as MNIST, the handwritten digit images, SIIs are gray or bin…
Towards the Automation of Deep Image Prior
Qianwei Zhou, Chen Zhou, Haigen Hu +3
Single image inverse problem is a notoriously challenging ill-posed problem that aims to restore the original image from one of its corrupted versions. Recently, this field has bee…