邵佳
Name (Simplified Chinese):邵佳
Name (Pinyin):Shao Jia
Professional Title:Lecturer
Status:Employed
Education Level:With Certificate of Graduation for Doctorate Study
Degree:博士
Business Address:逸夫教学楼C310
E-Mail:
Alma Mater:武汉大学
Teacher College:College of Informatics
School/Department:信息学院
Other Contact Information:
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Paper Publications
- [1] Jia Shao, Bo Du*, Chen Wu, Mingming Gong and Tongliang Liu. HRSiam:High-Resolution Siamese Network, Towards Space-Borne Satellite Video Tracking[J]. IEEE Transactions on Image Processing, 30, pp. 3056-3068, 2021.(IF= 9.34, JCR 一区 Top).
- [2] Jia Shao, Bo Du*, Chen Wu, and Lefei Zhang. Can We Track Targets From Space? A Hybrid Kernel Correlation Filter Tracker for Satellite Video[J]. IEEE Transactions on Geoscience and Remote Sensing, 57(11), pp. 8719-8731, 2019. (IF=5.855, JCR 一区 Top).
- [3] Jia Shao, Bo Du*, Chen Wu, and Lefei Zhang. Tracking Objects From Satellite Videos: A Velocity Feature Based Correlation Filter[J]. IEEE Transactions on Geoscience and Remote Sensing, 57(10), pp. 7860-7871, 2019. (IF= 5.855, JCR 一区 Top).
- [4] Jia Shao, Wei Meng, Guodong Sun, Evaluation of missing value imputation methods for wireless soil datasets, Personal and Ubiquitous Computing, 2017, 21(1), pp. 113-123. (IF: 2.212, JCR 二区 ).
- [5] Jia Shao, Bo Du*, Chen Wu, Jia Wu, Ruimin Hu, and Xuelong Li. VCF: Velocity Correlation Filter, Towards Space-Borne Satellite Video Tracking[C]. IEEE International Conference on Multimedia and Expo, San Diego, USA, 2018, pp.1-6. (Oral, 多媒体顶会).
- [6] Jia Shao, Bo Du*, Chen Wu, Pingkun Yan. PASiam: Predicting Attention Inspired Siamese Network, for Space-Borne Satellite Video Tracking[C]. IEEE International Conference on Multimedia and Expo, Shanghai, China, 2019, pp.1504-1509.(Poster, 多媒体顶会).
- [7] Jia Shao, Guodong Sun*, et al., EasyRBF: Towards Infilling Missing Soil Data[C], International Conference on Big Data Computing and Communications, Chengdu, 2017, pp. 376-385. (EI).
- [8] Guodong Sun*, Jia Shao, Hui Han, et al., Missing Value Imputation for Wireless Sensory Soil Data: A Comparative Study[C], International Conference on Big Data Computing and Communications, 2016. (EI).
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