|
|
|
|
|
Dr. SHENGPING ZHANG
|
|
|
|
|
|
|
|
|
Address 1
|
:
|
|
|
Address 2
|
:
|
|
|
Title
|
:
|
Dr.
|
|
First Name
|
:
|
SHENGPING
|
|
Last Name
|
:
|
ZHANG
|
|
University/Institution
|
:
|
Brown University
|
|
Phone #
|
:
|
401 339 7338
|
|
Email ID
|
:
|
shengping_zhang@brown.edu
|
|
City
|
:
|
providence
|
|
Country
|
:
|
United States
|
|
State
|
:
|
Rhode island
|
|
Zipcode
|
:
|
02912
|
|
|
|
|
|
|
Department
|
:
|
Cognitive, Linguistic & Psychological Sciences
|
|
Company Name
|
:
|
|
|
Area of Research
|
|
Object recognition, visual tracking, behavior recognition
|
|
Area of Expertise
|
|
Object recognition, visual tracking, behavior recognition
|
|
Brief Description of Research Interest :
|
|
My research mainly focuses on object recognition, visual tracking and animal behavior recognition from videos. It is effortless for human beings to do these tasks, however, they are extremely difficult for computer. My research goal is to make the computer intelligent enough to finish these tasks. I have been exploiting some computational models in neuroscience to simulate the functionality of the human vision system for solving these computer vision challenges. In the last seven years, I have developed some effective models and applied them in practical applications. Currently, I am working with Thomas Serre at Brown University aiming at developing a biologically inspired animal behavior recognition system.
|
|
Representative Publications :
|
- Shengping Zhang, Hongxun Yao, Xin Sun, Xiusheng Lu, "Sparse Coding Based Visual Tracking: Review and Experimental Comparison", Pattern Recognition, Volume 46, Number 7, 1772-1788. PDF
- Shengping Zhang, Hongxun Yao, Huiyu Zhou, Xin Sun, Shaohui Liu, "Robust Visual Tracking Based on Online Learning Sparse Representation", Neurocomputing, Volume 100, pp. 31-40, 2013.
- Shengping Zhang, Hongxun Yao, Xin Sun, Shaohui Liu, "Robust Visual Tracking Using An Effective Appearance Model Based on Sparse Coding", ACM Transactions on Intelligent Systems and Technology, Volume 3, Number 3, article 43, 2012.
- Shengping Zhang, Hongxun Yao, Shaohui Liu, "Dynamic Background Subtraction Based on Local Dependency Histogram", International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI) Volume 23, Number 7, pp. 1397-1419, 2009.
- Shengping Zhang, Hongxun Yao, Shaohui Liu, "Robust Visual Tracking Using Feature-based Visual Attention",International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2010), Dallas, Texas, USA, March 14-19, 2010: 1150-1153.
- Shengping Zhang, Hongxun Yao, Shaohui Liu, "Spatial-temporal Nonparametric Background Subtraction in Dynamic Scenes", IEEE International Conference on Multimedia & Expo (ICME 2009), New York, USA, June 28–July 3, 2009: 518-521.
- Shengping Zhang, Hongxun Yao, Shaohui Liu, Xilin Chen, Wen Gao, "A Covariance-based Method for Dynamic Background Subtraction", IEEE International Conference on Pattern Recognition (ICPR 2008), Florida, USA, December 8-11, 2008: 3141-3144.
- Shengping Zhang, Hongxun Yao, Shaohui Liu, "Dynamic Background Modeling and Subtraction Using Spatio-temporal Local Binary Patterns", IEEE International Conference on Image Processing (ICIP 2008), California, USA, October 12-15, 2008: 1556-1559.
- Xun Tang, Shengping Zhang, Hongxun Yao, "Sparse Coding Based Motion Attention for Abnormal Event Detection", International Conference on Image Processing (ICIP 2013), accepted
- Baochang Zhang, Shengping Zhang, Jianzhuang Liu, "Sparse Regression Analysis for Object Recognition",IEEE International Conference on Image Processing (ICIP 2011), pp. 2381-2384,2011
- Xin Sun, Hongxun Yao, Shengping Zhang, "A Novel Supervised Level Set Method for Non-Rigid Object Tracking", International Conference on Computer Vision and Pattern Recognition (CVPR 2011), pp. 3393-3400, 2011.
- Xuesong Jiang, Hongxun Yao, Shengping Zhang, Xiusheng Lu, "Night Video Enhancement Using Improved Dark Channel Prior", International Conference on Image Processing (ICIP 2013), accepted
- Xin Sun, Hongxun Yao, Shengping Zhang, "Non-girid Object Tracking by Adaptive Data-Driven Kernel",International Conference on Image Processing (ICIP 2013), accepted
|
|
Resume
|
:
|
Download
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|