8 citations · 19 across the 4 of their papers we have counts for
5 papers
FakeMix Augmentation Improves Transparent Object Detection
Yang Cao, Zhengqiang Zhang, Enze Xie +4
Detecting transparent objects in natural scenes is challenging due to the low contrast in texture, brightness and colors. Recent deep-learning-based works reveal that it is effecti…
Closed-Loop Adaptation for Weakly-Supervised Semantic Segmentation
Zhengqiang Zhang, Shujian Yu, Shi Yin +2
Weakly-supervised semantic segmentation aims to assign each pixel a semantic category under weak supervisions, such as image-level tags. Most of existing weakly-supervised semantic…
Fast and accurate reconstruction of HARDI using a 1D encoder-decoder convolutional network
Shi Yin, Zhengqiang Zhang, Qinmu Peng +1
High angular resolution diffusion imaging (HARDI) demands a lager amount of data measurements compared to diffusion tensor imaging, restricting its use in practice. In this work, w…
Fully-automatic segmentation of kidneys in clinical ultrasound images using a boundary distance regression network
Shi Yin, Zhengqiang Zhang, Hongming Li +5
It remains challenging to automatically segment kidneys in clinical ultrasound images due to the kidneys' varied shapes and image intensity distributions, although semi-automatic m…
Automatic kidney segmentation in ultrasound images using subsequent boundary distance regression and pixelwise classification networks
Shi Yin, Qinmu Peng, Hongming Li +5
It remains challenging to automatically segment kidneys in clinical ultrasound (US) images due to the kidneys' varied shapes and image intensity distributions, although semi-automa…