个人信息
Personal information
教授 博士生导师 硕士生导师
性别：男
在职信息：在职
所在单位：人工智能与自动化学院
学历：研究生(博士)毕业
学位：工学博士学位
毕业院校：华中科技大学
学科：模式识别与智能系统- [121] 1, Jiaqi Yang,Jiaqi Yang, Yang Xiao.Zhiguo Cao.Toward the Repeatability and Robustness of the Local Reference Frame for 3D Shape Matching: An Evaluation.[J].IEEE Transactions on Image Processing,2018,(9):3766—3781
- [122] Lu Hao,Hao Lu, Chunhua Shen, Zhiguo Cao*, Yang Xiao, Anton van den Hengel.Cao Zhiguo.An embarrassingly simple approach to visual domain adaptation.[J].IEEE Transactions on Image Processing,
- [123] Hao Lu, Zhiguo Cao, Yang Xiao, Zhiwen Fang,Yanjun Zhu.Zhiguo Cao.Toward Good Practices for Fine-Grained Maize Cultivar Identification With Filter-Specific Convolutional Activations.IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING,(2):430-442
- [124] Hao Lu, Zhiguo Cao, Yang Xiao, Bohan Zhuang,Chunhua Shen.Zhiguo Cao.TasselNet: counting maize tassels in the wild via local counts regression network.[J].Plant Methods,2017,1-17
- [125] Liang Ye, Zhiguo Cao, Yang Xiao.DeepCloud: Ground-Based Cloud Image Categorization Using Deep Convolutional Features.[J].IEEE Trans. on Geoscience and Remote Sensing,2017,(10):5729--5740
- [126] Hao Lu, Zhiguo Cao, Yang Xiao, Yanjun Zhu.Zhiguo Cao.Two-dimensional subspace alignment for convolutional activations adaptation.[J].Pattern Recognition,2017,320-336
- [127] Yang Jiaqi,Zhang Qian, Cao Zhiguo.Cao Zhiguo.Multi-attribute statistics histograms for accurate and robust pairwise registration of range images.[J].NEUROCOMPUTING,2017,54-67
- [128] Lu Hao, Cao Zhiguo, Xiao Yang, Fang Zhiwen, Zhu Yanjun.Towards fine-grained maize tassel flowering status recognition: dataset, theory and practice.[J].Applied Soft Computing,2017,34-45
- [129] Yanan Li, Zhiguo Cao, Yang Xiao,and Armin B. Cremers.Zhiguo Cao.DeepCotton: in-field cotton segmentation using deep fully convolutional network.[J].Journal of Electronic Imaging,(5):053028-1--053028-14
- [130] Jiaqi Yang,Jiaqi Yang , Qian Zhang , Ke Xian , Yang Xiao , Zhiguo Cao.Zhiguo Cao.Rotational contour signatures for both real-valued and binary feature representations of 3D local shape.[J].Computer Vision and Image Understanding,2017,133-147