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Jun Cheng

aNational-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China, Medical Ultrasound Image Computing, Marshall Laboratory of Biomedical Engineering, Shenzhen University, Shenzhen, China

A Survey on Video Action Recognition in Sports: Datasets, Methods and Applications

Fei Wu , Qingzhong Wang , Jian Bian , Haoyi Xiong , Ning Ding , Feixiang Lu , Jun Cheng , Dejing Dou

* 26 pages. The toolbox is available at 

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Structure Unbiased Adversarial Model for Medical Image Segmentation

Tianyang Zhang , Shaoming Zheng , Jun Cheng , Xi Jia , Joseph Bartlett , Huazhu Fu , Zhaowen Qiu , Jiang Liu , Jinming Duan

* Will revise the paper and resubmit 

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HASA: Hybrid Architecture Search with Aggregation Strategy for Echinococcosis Classification and Ovary Segmentation in Ultrasound Images

Jikuan Qian , Rui Li , Xin Yang , Yuhao Huang , Mingyuan Luo , Zehui Lin , Wenhui Hong , Ruobing Huang , Haining Fan , Dong Ni , Jun Cheng

* 17 pages,11 figures. Accepted by Expert Systems and Applications, 2022 

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Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis

Jiamin Liang , Xin Yang , Yuhao Huang , Haoming Li , Shuangchi He , Xindi Hu , Zejian Chen , Wufeng Xue , Jun Cheng , Dong Ni

* Accepted by Medical Image Analysis (13 figures, 4 tabels) 

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MOS: A Low Latency and Lightweight Framework for Face Detection, Landmark Localization, and Head Pose Estimation

Yepeng Liu , Zaiwang Gu , Shenghua Gao , Dong Wang , Yusheng Zeng , Jun Cheng

* Accepted at BMVC 2021 

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Proxy-bridged Image Reconstruction Network for Anomaly Detection in Medical Images

Kang Zhou , Jing Li , Weixin Luo , Zhengxin Li , Jianlong Yang , Huazhu Fu , Jun Cheng , Jiang Liu , Shenghua Gao

* This paper is accepted to IEEE TMI 

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SM-SGE: A Self-Supervised Multi-Scale Skeleton Graph Encoding Framework for Person Re-Identification

Haocong Rao , Xiping Hu , Jun Cheng , Bin Hu

* Accepted at ACMMM 2021 Main Track. Sole copyright holder is ACMMM. Codes are available at 

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VEGN: Variant Effect Prediction with Graph Neural Networks

Jun Cheng , Carolin Lawrence , Mathias Niepert

* Accepted at Workshop on Computational Biology, co-located with the 38th International Conference on Machine Learning 

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