刘敏

一、 基本情况:

刘敏,男,湖南大学自动化系教授,博士生导师,副院长;

国家重点研发计划项目首席科学家,教育部青年长江学者;

国家自然科学基金创新群体核心成员,湖南省杰出青年基金获得者;

机器人视觉感知与控制技术国家工程实验室主任助理(主任: 王耀南院士);

机械工业先进制造视觉检测与控制技术重点实验室主任, 视觉感知与人工智能湖南省重点实验室副主任;

湖南省国际科技创新合作基地主任;

中国图象图形学学会组织建设工作委员会秘书长,会员发展与服务工作委员会副主任。

 

二、个人简介:

先后主持国家重点研发计划项目、国家自然科学基金联合重点支持项目、国家重点研发计划政府间国际科技创新合作项目、湖南省杰出青年基金等多项国家级、省部级项目,在IEEE Transactions on Image ProcessingIEEE Transactions on Medical ImagingCVPR、ICCV等国际顶级期刊和会议上发表学术论文80余篇,科研成果获2020年湖南省科学技术创新团队奖。

 

现担任《IEEE Transactions on Neural Networks and Learning Systems》、《Journal of Intelligent and Robotic Systems》、《指挥与控制学报》等期刊编委和《自动化学报(英文版)》青年编委。中国人工智能学会模式识别专业委员会委员、中国自动化学会模式识别与机器智能专业委员会委员、中国图象图形学学会视觉认知与计算专委会委员,长沙市“人工智能及机器人产业链”科技特派员。


5年指导的学生中,先后有12名同学获研究生国家奖学金,4名同学获评湖南省优秀毕业生,5名同学毕业论文获评湖南省优秀硕士学位论文,指导学生获中国“互联网+”创新创业大赛银奖,获中国图象图形学学会图像图形挑战赛全国总冠军,开展机器人领域研究生拔尖人才培养探索与实践,获湖南省高等教育教学成果奖特等奖一项(排名第2)。


团队每年招收2名医学影像分析、工业视觉领域和其它模式识别、机器视觉领域的博士生,有兴趣的同学还请email联系。

 

Min Liu is a Professor at Hunan University. He received his bachelor degree from Beijing University and PhD degree in Electrical Engineering from the University of California, Riverside in 2012. He was a research intern in HHMI Janelia Farm Research Campus and a research scientist at the University of California, Santa Barbara. His research interests include computer vision, pattern recognition and machine learning.

 

Emailliu_min@hnu.edu.cn


近五年代表性成果:

●  Hao Du, Jiazheng Wang, Min Liu*, Yaonan Wang and Erik Meijering,"SwinPA-Net: Swin Transformer based Multiscale Feature Pyramid Aggregation Network for Medical Image Segmentation", IEEE Transactions on Neural Networks and Learning Systems, 2022.

Wenxuan He, Min Liu*, Yi Tang, Qinghao Liu and Yaonan Wang,"Differentiable Automatic Data Augmentation by Proximal Update for Medical Image Segmentation", IEEE/CAA Journal of Automatica Sinica, 2022.

●  Shujun Zeng, Xueping Wang, Min Liu*, Qing Liu and Yaonan Wang,"Anchor Association Learning for Unsupervised Video Person Re-identification", IEEE Transactions on Neural Networks and Learning Systems, 2022.

  Yi Tang, Baopu Li, Min Liu*, Boyu Chen, Yaonan Wang and Wanli Ouyang,"AutoPedestrian: an Automatic Data Augmentation and Loss Function Search Scheme for Pedestrian Detection", IEEE Transactions on Image Processing, 2021.

Xueping Wang, Min Liu*,  Dripta S. Raychaudhuri, Sujoy Paul, Yaonan Wang and Amit K.  Roy-Chowdhury,"Learning Person Re-identification Models from Videos with  Weak Supervision", IEEE Transactions on Image Processing, 2021.

Xueping Wang, Shasha Li, Min Liu*, Yaonan Wang and Amit K. Roy-Chowdhury,  "Multi-Expert Adversarial Attack Detection in Person Re-identification Using Context Inconsistency", International Conference on Computer Vision (ICCV), 2021.

Weixun Chen,  Min Liu*, Hao Du, Yaonan Wang, and Erik Meijering, "Deep-Learning Based Automated Neuron Reconstruction from 3D Microscopy Images Using Synthetic Training Images", IEEE Transactions on Medical Imaging, 2021.

Xuan Wang,  Min Liu*, Yaonan Wang, Jiawang Fan and Erik Meijering, "A 3D Tubular Flux Model for Centerline Extraction in Neuron Volumetric Images", IEEE Transactions on Medical Imaging, 2021.

Bo Yang,  Min Liu*, Yaonan Wang, Kang Zhang and Erik Meijering, "Structure-Guided Segmentation for 3D Neuron Reconstruction", IEEE Transactions on Medical Imaging, 2021.

Weixun Chen, Min Liu*,  Qi Zhan, Yinghui Tan, Erik Merjering, and Yaonan Wang,  "Spherical-Patches Extraction for Deep-Learning in 3D Neuron Microscopy  Images", IEEE Transactions on Medical Imaging, 2020.

Wenbo Jiang, Min Liu*,  Yunuo Peng, and Yaonan Wang, "HDCB-Net: A Neural Network with the Hybrid Dilated Convolution for Pixel-Level Crack Detection on Concrete  Bridges", IEEE Transactions on Industrial Informatics, 2020.

  Min Liu*, Weixun Chen, Chao Wang, Hanchuan Peng, "A Multiscale Ray-Shooting Model for Termination Detection of Tree-Like Structures in Biomedical Images", IEEE Transactions on Medical Imaging, 2019.

彭雨诺,刘敏*,万智,蒋文博,王耀南,"基于改进YOLO的双网络桥梁表观病害快速检测算法",自动化学报,2021.