Curriculum Vitae:Delu Zeng

Dr. Delu Zeng

Associate professor in School of Information Science and Engineering, Xiamen University


Student: Tong Zhao, Jiawen Wu, Yuwen Hu, Pan Zhu, Shulian Cai, Jiabin Huang

Chinese Introduction:(中文个人主页):

    Delu Zeng received his Bachelor degree in the Department of Applied Mathematics in South China University of Technology (SCUT) in June 2003. Then he went on studying as a postgraduate in this department majoring in Partial Differential Equations (PDEs). In June 2005, he was promoted to be a doctoral candidate majoring in Signal and Information Processing in the School of Electronics and Information Engineering of SCUT and got the December 2009. From Feb. 2010, He went on to be a postdoctoral fellow in the same school of SCUT to further pursue his research on image processing and pattern recognition. He was promoted to be an associate research fellow in Sept. 2011. And He is at present an associate professor in the school of Information Science and Engineering in Xiamen University from April 2013.

A. Research Interest

1. Image/Video processing. At present, I get great interested in the applications of curve evolution, PDEs methods and inverse problems to image processing and pattern recognition, i.e., feature extraction and image segmentation.

2. Machine learning, e.g., neural networks, optimization methods.

B. Recently Granted Projects

1. Robust Image Salient Object Perception Prior for Image Segmentation based on PDEs Related Methods,2011.01-2014.12, Granted by NSFC.

2. Several Key Issues on Variational Object Contour Extraction Model, 2016.01-2019.12, Granted by NSFC.

C. Selected Publications

  • X. Fu, D.Zeng, Y. Huang, X. Zhang and X. Ding, A weighted variational model for simultaneous reflectance and illumination estimation, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016,LAS VEGAs, US), 2016.08, accepted.[Code]

  • T.Zhao, L.Li, X.Ding, Y.Huang, and D.Zeng, Saliency detection with spaces of background-based distribution, IEEE Signal Processing Letters, vol. 23, no. 5, pp.683–687, May 2016.[Code]

  • Y. Jiang, X. Ding, D. Zeng, Y. Huang and J. Paisley. Pan-sharpening with a hyper-Laplacian penalty, International Conference on Computer Vision (ICCV), Santiago, Chile, 2015.[PDF]

  • X. Fu, J.Wang, D.Zeng, Y. Huang, X. Ding, Remote Sensing Image Enhancement using Regularized-Histogram Equalization and DCT, IEEE Geoscience and Remote Sensing Letters., 2015,12(11), 2301-2305.[PDF]

  • X. Fu, Y. Liao, D.Zeng, Y.Huang, X. Zhang and X. Ding, A Probabilistic Method for Image Enhancement with Simultaneous Illumination and Reflectance Estimation, IEEE Transactions on Image Processing, 2015,24(12), 4965-4977.[PDF]

  • D. Zeng, Z. Zhou, et al. Coarse-to-fine Boundary Location with a SOM-like Method, IEEE Transactions on Neural networks, 21(3):481-493, 2010.[PDF]

  • D. Zeng, Z. Zhou, et al. Image Segmentation based on the Poincare Map Method, IEEE Transactions on Image Processing, 21(3):946-957,2012. [PDF]

  • S. Xie, D. Zeng*, et al. Arranging and Interpolating Sparse Unorganized Feature Points With Geodesic Circular Arc, IEEE Transactions on Image Processing, 18(3):582 - 595, March 2009.[PDF]

  • D. Zeng, Z. Zhou, et al. Construction of Compact RBF Network by Refining Coarse Clusters and Widths, Journal of Systems Engineering and Electronics, 20(6):1309-1315, 2009.[PDF]

  • D. Zeng, Z. Zhou, et al. Vector bundle constraint for particle swarm optimization and its application to active contour modeling, Progress in Natural Science, 17(10): 1220-1225, 2007.[PDF]

  • D. Zeng, S. Xie, et al. Improved clustering and anisotropic gradient descent algorithm for compact RBF network. 13th International Conference on Neural Information Processing (ICONIP06,HongKong), Lecture Notes in Computer Sciences, vol.4233, pp. 806-813.[PDF]

  • D. Zeng, Z. Zhou, et al. Fast blocking artifacts reduction algorithm based on contrast enhancement technique, International Conference on Communications, Circuits and Systems Proceedings, vol. I, pp. 497-499, 2006.[PDF]

  • Z. Zhou, D. Zeng, et al. RBF neural network and active circles based algorithm for contours extraction. Progress in Natural Science, 17(6), pp. 681-686, 2007.[PDF]

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    Guys, Keep Working Hard!