个人简介
Bio：
Associate professor in the College of Information Sciences and Technology at Donghua University. I am a member of IEEE, Chinese Society of Agricultural Engineering, and Shanghai Agricultural Engineering Association. I currently serve as a referee for a number of academic journals.
Academic History and Education Background:
2018-now Associate Professor, Donghua University, Shanghai, China.
2015-2018 Lecturer, Donghua University, Shanghai, China.
2013-2015 Postdoc, Tongji University, Shanghai, China.
2008-2013Ph.D., Tongji University, Shanghai, China.
2009-2010 Visiting Scholar as jointly trained doctor,Michigan State University, East Lansing, Michigan, United States.
2006-2008M.S., Tongji University, Shanghai, China.
2002-2006B.E., Tongji University, Shanghai, China.
Teaching:
Semester A (Autumn): Data Analysis and Machine Learning (for graduate students). Pattern Recognition Principles and Techniques (for international Students).
Semester B (Spring): Digital Signal Processing (for undergraduates).
Research Projects:
“3D imaging for analyzing the phenotypes of textile plants”, The Fundamental Research Funds for the Central Universities of China (special base project), Person in Charge, No. 2232019G-09. (01/2019-04/2020)
“Research of illumination-robust stereo vision algorithm for greenhouse plants”, National Natural Science Foundation of China, Person in Charge, Grant No. 61603089. (01/2017-12/2019)
“Digitized imaging and 3D visualization of greenhouse plants”, Shanghai Sailing Program, Person in Charge, Grant No. 16YF1400100. (06/2016-05/2019)
“Research on illumination-robust stereo vision imaging tools for greenhouse plants”, The Fundamental Research Funds for the Central Universities of China, Person in Charge, Grant No. 2232016D3-20. (01/2016-12/2018)
“A research on digitization and virtual visualization of greenhouse tomato plants”, China Postdoctoral Science Foundation Special Grants, Person in Charge, Grant No. 2014T70427. (07/2014-07/2015)
“Research on key technology in an intelligent video surveillance system”, Shanghai Yangpu District Innovation and Practice base project for postdocs, Person in Charge. (02/2014-12/2014)
“The research of digitized imaging and virtual visualization technologies on greenhouse plants”, China Postdoctoral Science Foundation 1st class grants, Person in Charge, Grant No. 2013M540385. (07/2013-12/2014)
Honors and Awards:
08/2013 Best Paper Award for Young Researchers at The Annual Academic Conference of Chinese Society of Agricultural Engineering (3/4), Zhenjiang, China.
05/2013 Best Doctoral Dissertation Award of Year 2013 (Top 28 among 592, 1/1), Tongji University, Shanghai, China.
12/2010 Finalist for Best Paper Award (Top 6 among 899, 1/3) in the 11th International Conference on Control, Automation, Robotics and Vision (ICARCV2010), Singapore.
研究领域
Research Interests:
Image Processing, Point Cloud Processing, Machine Learning, Intelligent Visual Surveillance, and Plant Phenotyping.
近期论文
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Selected Publications:
[1] D. Li, Y. Cao, G. Shi, X. Cai*, Y. Chen, S. Wang, and S. Yan, “An overlapping-free leaf segmentation method for plant point clouds,” IEEE Access, vol. 7, no. 1, pp. 129054-129070, 2019. DOI: 10.1109/ACCESS.2019.2940385.
[2] D. Li, S. Yan, X. Cai*, Y. Cao, and S. Wang, “An Integrated image filter for enhancing change detection results,” IEEE Access, vol. 7, no. 1, pp. 91034-91051, 2019. DOI: 10.1109/ACCESS.2019.2927255.
[3] X.-S. Tang, H. Wei, K. Hao*, M. Zhao, and D. Li, “Integrating pixels and segments: A deep-learning method inspired by the informational diversity of the visual pathways,” Neurocomputing, in press, 2019. DOI: https://doi.org/10.1016/j.neucom.2018.10.096.
[4] D. Li, Y. Cao, X.-S. Tang*, S. Yan, and X. Cai, “Leaf Segmentation on Dense Plant Point Clouds with Facet Region Growing,” Sensors, vol. 18, no. 11, Article 3625, 2018. DOI:10.3390/s18113625.
[5] D. Li, L. Xu*, X. Tang, S. Sun, X. Cai, and P. Zhang, “3D Imaging of Greenhouse Plants with an Inexpensive Binocular Stereo Vision System,” Remote Sensing, vol. 9, no. 5, Article 508, 2017. DOI: 10.3390/rs9050508.
[6] D. Li, L. Xu*, and H. Liu, “Detection of Uneaten Fish Food Pellets in Underwater Images for Aquaculture,” Aquacultural Engineering, vol. 78, Part B, pp. 85-94, 2017. DOI: 10.1016/j.aquaeng.2017.05.001.
[7] Y. Su, L. Xu*, and D. Li, “Adaptive Fuzzy Control of a Class of MIMO Nonlinear System with Actuator Saturation for Greenhouse Climate Control Problem,” IEEE Transactions on Automation Science and Engineering, vol. 13, no. 2, 2016, pp. 772-788. DOI: 10.1109/TASE.2015.2392161.
[8] D. Li, L. Xu*, C. Tan, E.D. Goodman, D. Fu, and L. Xin, "Digitization and Visualization of Greenhouse Tomato Plants in Indoor Environments," Sensors, vol. 15, no. 2, 2015, pp. 4019-4051. DOI: 10.3390/s150204019.
[9] D. Li, L. Xu*, and E. Goodman, “On-line EM Variants for Multivariate Normal Mixture Model in Background Learning and Moving Foreground Detection,” Journal of Mathematical Imaging and Vision, vol. 48, no. 1, 2014, pp. 114-133. DOI: 10.1007/s10851-012-0403-6.
[10] D. Li*, L. Xu, and E. Goodman, “Illumination-robust Foreground Detection in a Video Surveillance System,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 23, no. 10, pp. 1637-1650, 2013. DOI: 10.1109/TCSVT.2013.2243649.
[11] D. Li, L. Xu*, E. Goodman, Y. Xu, and W. Yang, “Integrating a statistical background-foreground extraction algorithm and SVM classifier for pedestrian detection and tracking”, Integrated Computer-Aided Engineering, vol. 20, no.3, 2013, pp. 201-216. (ISSN: 1069-2509) DOI: 10.3233/ICA-130435.
[12] D. Li, L. Xu*, and E. Goodman, “Online Background Learning for Illumination-robust Foreground Detection,” in: Proc. 11th International Conference on Control, Automation, Robotics and Vision (ICARCV), 2010, pp. 1093-1100. (Finalist for Best Paper Award, Top 6 out of 899)
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