M
Ming Yang
Researcher at Sun Yat-sen University
Publications - 27
Citations - 1156
Ming Yang is an academic researcher from Sun Yat-sen University. The author has contributed to research in topics: Computer science & Segmentation. The author has an hindex of 9, co-authored 22 publications receiving 657 citations.
Papers
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Proceedings ArticleDOI
Image Blind Denoising with Generative Adversarial Network Based Noise Modeling
TL;DR: A novel two-step framework is proposed, in which a Generative Adversarial Network is trained to estimate the noise distribution over the input noisy images and to generate noise samples to train a deep Convolutional Neural Network for denoising.
Book ChapterDOI
Instance-Level Human Parsing via Part Grouping Network.
TL;DR: This work makes the first attempt to explore a detection-free Part Grouping Network (PGN) for efficiently parsing multiple people in an image in a single pass and outperforms all state-of-the-art methods on PASCAL-Person-Part dataset.
Book ChapterDOI
Attention Guided Network for Retinal Image Segmentation
TL;DR: An Attention Guided Network (AG-Net) is proposed to preserve the structural information and guide the expanding operation and an attention block is introduced to exclude the noise and reduce the negative influence of background further.
Posted Content
Attention Guided Network for Retinal Image Segmentation
TL;DR: Zhang et al. as mentioned in this paper proposed an attention guided network (AG-Net) to preserve the structural information and guide the expanding operation of the convolutional and pooling operations.
Book ChapterDOI
PM-Net: Pyramid Multi-label Network for Joint Optic Disc and Cup Segmentation
TL;DR: A Mask-RCNN based paradigm to localize ONH and jointly segment OD and OC in a whole fundus image and employs a multi-label head strategy to incorporate the prior for better performance is proposed.