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Profile of Professor Fang Yuming

Date:2020-07-18 Click：

Name: Fang Yuming

Title: Professor

Office Phone: 0791-83803705

Email:leo.fangyuming@foxmail.com

1. Introduction

Basic Information:

Fang Yuming earned a PhD in Computer Engineering from Nanyang Technological University, Singapore in 2013. He now works as a professor and doctoral supervisor of Jiangxi University of Finance and Economics, the director of Jiangxi Key Laboratory of Digital Media, and the winner of the “Excellent Youth Science Fund” Project of the National Natural Science Foundation of China.

Research Directions: Multi-media Signal Processing, Artificial Intelligence, Computer Vision

Work Experience:

May 2013-Present, Jiangxi University of Finance and Economics

2. Teaching Experience

Courses Taught:

Multimedia Technology Foundation

Digital Image Processing

3. Research Achievements

Projects Hosted:

1. Analysis and Quality Evaluation of Multimedia Content, National Science Foundation for Outstanding Youth, 2019.01-2021.12.

2. Visual Attention Modeling and Application for 3D Video, National Natural Science Foundation of China, 2016.01-2019.12.

Papers:

1. Yuming Fang, Hanwei Zhu, Kede Ma, Zhou Wang, and Shutao Li, Perceptual Evaluation for Multi-Exposure Image Fusion of Dynamic Scenes, IEEE Transactions on Image Processing, 29(1), 1127-1138, 2020.

2. Yuming Fang, Xiaoqiang Zhang, Feiniu Yuan, Nevrez Imamoglu, and Haiwen Liu, Video Saliency Detection by Gestalt Theory, Pattern Recognition, Vol. 96, 106987, 2019.

3. Yuming Fang, Chi Zhang, Hanqing Huang, Jianjun Lei, Visual Attention Prediction for Stereoscopic Video by Multi-Module Fully Convolutional Network, IEEE Transactions on Image Processing, 28(11): 5253-5265, 2019.

4. Yuming Fang, Chi Zhang, Jing Li, Jianjun Lei, Matthieu Perreira Da Silva, and Patrick Le Callet, Visual Attention Modeling for Stereoscopic Video: A Benchmark and Computational Model, IEEE Transactions on Image Processing, 26(10): 4684-4696, 2017.

5. Yuming Fang, Jiebin Yan, Jiaying Liu, Shiqi Wang, Qiaohong Li, and Zongming Guo, Objective Quality Assessment of Screen Content Images by Uncertainty Weighting, IEEE Transactions on Image Processing, 26(4): 2016-2027, 2017.