把海弄干的鱼儿在海干前上了陆地，从一片黑暗森林奔向另一片黑暗森林。
The fishes who dried the sea went to the land before dry-up, dashing from a dark forest to another.
————《三体》
————《The Three-Body Problem》

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.
2008-2013: Ph.D.,Tongji University, Shanghai, China.
2009-2010: Visiting Scholar as jointly trained doctor,Michigan State University, East Lansing, Michigan, United States.
2006-2008: M.S., Tongji University, Shanghai, China.
2002-2006: B.E., Tongji University, Shanghai, China.

Research Interests:
Image Processing, Point Cloud Processing, Machine Learning, Intelligent Visual Surveillance, and Plant Phenotyping.

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:
“Research on the stereo imaging for plant phenotyping and genotype analysis”, Natural Science Foundation of Shanghai, Person in Charge, No. 20ZR**. (07/2020-06/2023)
“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. **G-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. **. (01/2017-12/2019)
“Digitized imaging and 3D visualization of greenhouse plants”, Shanghai Sailing Program, Person in Charge, Grant No. 16YF**. (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. **D3-20. (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 1^stclass grants, Person in Charge, Grant No. 2013M540385. (07/2013-12/2014)




Selected Publications:
D. Li, G. Shi, Y. Wu, Y. Yang, and M. Zhao, “Multi-scale neighborhood feature extraction and aggregation for point cloud segmentation”, IEEE Transactions on Circuits and Systems for Video Technology, 2020. DOI: 10.1109/TCSVT.2020.**.

D. Li, S. Yan, M. Zhao, and T.W.S. Chow, “Spatiotemporal Tree Filtering for Enhancing Image Change Detection”, IEEE Transactions on Image Processing, vol. 29, pp. 8805-8820, 2020. DOI: 10.1109/TIP.2020.**.

D. Li, S. Wang, X.-S. Tang, W. Kong*, G. Shi, and Y. Chen, “Double-stream Atrous Network for Shadow Detection,” Neurocomputing, 2020. DOI:10.1016/j.neucom.2020.07.038.


D. Li, G. Shi, W. Kong*, S. Wang, and Y. Chen, “A leaf segmentation and phenotypic feature extraction framework for Multi-View Stereo plant point clouds,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 13, 2020, pp. 2321-2336.


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, vol. 396, 5 July, 2020, pp. 314-323.


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. 9, pp. 129054-129070, 2019. DOI: 10.1109/ACCESS.2019.**.



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.**.


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/s**.


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/rs**.



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.


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.**.

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/s.

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


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.**


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.

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 among 899)



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.

Contact:
E-mail: daweili at dhu.edu.cn