Shaoting Zhang

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UNC Charlotte ∙ Baidu, Inc.

Featured Co-authors

Wei Liu
207 publications
Rui Wang
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Xiaogang Wang
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Hongsheng Li
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Lingfei Wu
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Jingjing Liu
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Han Zhang
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Peng Liu
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Xi Peng
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Feng Zhou
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Dimitris Metaxas
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Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images

Nuclei segmentation is a fundamental task in histopathology image analys...
07/10/2020 ∙ by Hui Qu, et al. ∙ 12 ∙ share

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Automatic Ischemic Stroke Lesion Segmentation from Computed Tomography Perfusion Images by Image Synthesis and Attention-Based Deep Neural Networks

Ischemic stroke lesion segmentation from Computed Tomography Perfusion (...
07/07/2020 ∙ by Guotai Wang, et al. ∙ 0 ∙ share

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Weakly Supervised Vessel Segmentation in X-ray Angiograms by Self-Paced Learning from Noisy Labels with Suggestive Annotation

The segmentation of coronary arteries in X-ray angiograms by convolution...
05/27/2020 ∙ by Jingyang Zhang, et al. ∙ 3 ∙ share

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SenseCare: A Research Platform for Medical Image Informatics and Interactive 3D Visualization

Clinical research on smart healthcare has an increasing demand for intel...
04/03/2020 ∙ by Qi Duan, et al. ∙ 0 ∙ share

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CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup Segmentation

Recently, deep neural networks have demonstrated comparable and even bet...
10/16/2019 ∙ by Peng Liu, et al. ∙ 0 ∙ share

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Collaborative Multi-agent Learning for MR Knee Articular Cartilage Segmentation

The 3D morphology and quantitative assessment of knee articular cartilag...
08/13/2019 ∙ by Chaowei Tan, et al. ∙ 3 ∙ share

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Automatic Health Problem Detection from Gait Videos Using Deep Neural Networks

The aim of this study is developing an automatic system for detection of...
06/04/2019 ∙ by Rahil Mehrizi, et al. ∙ 0 ∙ share

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Quantized Densely Connected U-Nets for Efficient Landmark Localization

In this paper, we propose quantized densely connected U-Nets for efficie...
08/07/2018 ∙ by Zhiqiang Tang, et al. ∙ 0 ∙ share

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CR-GAN: Learning Complete Representations for Multi-view Generation

Generating multi-view images from a single-view input is an essential ye...
06/28/2018 ∙ by Yu Tian, et al. ∙ 0 ∙ share

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Interactive Reinforcement Learning for Object Grounding via Self-Talking

Humans are able to identify a referred visual object in a complex scene ...
12/02/2017 ∙ by Yan Zhu, et al. ∙ 0 ∙ share

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StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks

Although Generative Adversarial Networks (GANs) have shown remarkable su...
10/19/2017 ∙ by Han Zhang, et al. ∙ 0 ∙ share

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StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks

Synthesizing high-quality images from text descriptions is a challenging...
12/10/2016 ∙ by Han Zhang, et al. ∙ 0 ∙ share

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Multispectral Deep Neural Networks for Pedestrian Detection

Multispectral pedestrian detection is essential for around-the-clock app...
11/08/2016 ∙ by Jingjing Liu, et al. ∙ 0 ∙ share

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Visual Tracking via Reliable Memories

In this paper, we propose a novel visual tracking framework that intelli...
02/04/2016 ∙ by Shu Wang, et al. ∙ 0 ∙ share

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Embedding Label Structures for Fine-Grained Feature Representation

Recent algorithms in convolutional neural networks (CNN) considerably ad...
12/09/2015 ∙ by Xiaofan Zhang, et al. ∙ 0 ∙ share

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