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Jun Yan 0011
Person information
- affiliation: China University of Geosciences, School of Mechanical Engineering and Electronic Information, Wuhan
Other persons with the same name
- Jun Yan — disambiguation page
- Jun Yan 0001 — Microsoft Research Asia, Beijing, China (and 1 more)
- Jun Yan 0002 — University of Connecticut, Department of Statistics, Storrs, CT, USA (and 1 more)
- Jun Yan 0003 — Wuhan University, School of Geodesy and Geomatics, Hubei, China
- Jun Yan 0004 — Chinese Academy of Sciences, CAS-MPG Partner Institute for Computational Biology, Shanghai, China
- Jun Yan 0005 — University of Wollongong, School of Information Technology and Computer Science, NSW, Australia (and 1 more)
- Jun Yan 0006 — Nanjing University of Posts and Telecommunications, College of Telecommunications and Information Engineering, China (and 3 more)
- Jun Yan 0007 — Concordia University, Concordia Institute for Information Systems Engineering, Montreal, QC, Canada (and 1 more)
- Jun Yan 0008 — Mathworks Inc., Natick, MA, USA (and 1 more)
- Jun Yan 0009 — Chinese Academy of Sciences, Institute of Software, Technology Center of Software Engineering, Beijing, China
- Jun Yan 0010 — Yidu Cloud Technology Co. Ltd., Beijing, China
- Jun Yan 0012 — University of Southern California, CA, USA (and 1 more)
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2020 – today
- 2020
- [j3]Xufan Zhang, Yong Wang, Jun Yan, Zhenxing Chen, Dianhong Wang:
A unified saliency detection framework for visible and infrared images. Multim. Tools Appl. 79(25-26): 17331-17348 (2020) - [j2]Xufan Zhang, Yong Wang, Zhenxing Chen, Jun Yan, Dianhong Wang:
Saliency detection via image sparse representation and color features combination. Multim. Tools Appl. 79(31-32): 23147-23159 (2020)
2010 – 2019
- 2019
- [j1]Jianlin Liu, Fenxiong Chen, Jun Yan, Dianhong Wang:
CBN-VAE: A Data Compression Model with Efficient Convolutional Structure for Wireless Sensor Networks. Sensors 19(16): 3445 (2019)
2000 – 2009
- 2008
- [c1]Dianhong Wang, Dongming Li, Jun Yan:
Robust Watermark Algorithm Based on the Wavelet Moment Modulation and Neural Network Detection. ISNN (2) 2008: 392-401
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