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Qingsong Zhu

  • Qingsong Zhu, Research Associate Professor, Research Institute for Future Media Computing, College of Computer Science and Software Engineering, Shenzhen University, China
  • Address: No.3688, Nanhai Avenue, Nanshan District, Shenzhen, Guangdong, P.R.China, 518060
  • Contact Details: or

Work and Research Experience

  • 2017 - Now : Research Associate Professor, Research Institute for Future Media Computing, Shenzhen University, China
  • 2011 - 2017 : Associate Professor & Principal Investigator, Chinese Academy of Sciences, China
  • 2013 - : Associate Editor, Neurocomputing, ELSEVIER (SCI indexed)
  • 2012 - : Associate Editor, Applied Mathematics & Information Science (SCI indexed)
  • 2016 - : Associate Editor, International Journal of Humanoid Robotics (SCI indexed)
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Representative Publications

  1. Qingsong Zhu, et al. “A Novel Recursive Bayesian Learning-Based Method for the Efficient and Accurate Segmentation of Video with Dynamic Background,” IEEE Transactions on Image Processing, vol. 21, no. 9, pp. 3865-3876, 2012.
  2. Qingsong Zhu, et al. “Targeting Accurate Object Extraction from an Image: A Comprehensive Study of Natural Image Matting,” IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 2, pp. 185-207, 2015.
  3. Qingsong Zhu, et al. “A Fast Single Image Haze Removal Algorithm Using Color Attenuation Prior,” IEEE Transactions on Image Processing, vol. 24, no. 11, pp. 3522-3533, 2015.
  4. Qingsong Zhu, et al. “Detection and Removal of Haze from Images or Videos: An Experimental Study,” IEEE Transactions on Image Processing, in minor revision, 2017.
  5. Qingsong Zhu, et al. “A Novel Nonlinear Regression Approach for Efficient and Accurate Image Matting,” IEEE Signal Processing Letters. Vol. 20, No.11, pp. 1078-1081, 2013.
  6. Qingsong Zhu, et al. “Single Image Dehazing Using Color Attenuation Prior,” British Machine Vision Conference (BMVC), Nottingham, 2014.
  7. Qingsong Zhu, et al. “Recursive Kernel Density Estimation for Modeling the Background and Segmenting Moving Objects.” IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP2013). Oral paper. pp.1769-1772. Vancouver, 2013.
  8. Qingsong Zhu, et al. “An Effective Performance Ranking Mechanism to Image Dehazing Methods with Psychological Inference Benchmark,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1576-1580, 2016.
Research Institute for Future Media Computing,Shenzhen University 2014 - 2018