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Faculty

Fengyi Song Lecturer

Academic Area: 
Computer Vision and Pattern Recognition
Research Interests: 
  • Computer Vision and Pattern Recognition
  • Face Image Understanding
  • Attribute Learning
  • Zero-shot Learning
Bio: 

Educational Background:

Ph.D., School of Computer Science and Technology, Nanjing University of Aeronautics and astronautics (2009-2014)

M.S., School of Computer Science and Technology, Nanjing University of Aeronautics and astronautics (2006-2009)

B.S., School of Computer Science and Technology, Henan University (2002-2006)

 

Research

Research Projects:

Principal investigator of the following projects:

1. Natural Science Foundation of Jiangsu Province, Research on Face Attribute Learning under Uncontrolled Conditions (2016-2019)

2. Natural Science Foundation of the Jiangsu Higher Education Institutions, Exploiting relationship between attributes for improved attribute learning and further applications. (2015-2017)

3. High-level Scientific Research Foundation for the Introduction of Talent, Incremental Attribute learning on Large-scale Web Faces. (2014-2016)

 

Collaborator of the following projects:

1. Natural Science Foundation of Jiangsu Province, Research on Online Clustering Learning and its Extension for Multi-view Data, by Jiangsu Province Natural Science Fund Office (2016-2019)

2. Natural Science Foundation of Jiangsu Province, Low-rank decomposition based robust image recognition (2015-2018)

3. Natural Science Foundation of Jiangsu Higher Education Institutions, Incremental Semi-supervised Learning Algorithms for Big Data Stream (2015-2017).

Journal Articles:

[1] Fengyi Song, Xiaoyang Tan, Xue Liu, Songcan Chen. Eyes Closeness Detection from Still Images with Multi-scale Histograms of Principal Oriented Gradients. Pattern Recognition, 47(9),pp.2825-2838, 2014.

[2] Fengyi Song, Xiaoyang Tan, Songcan Chen. Exploiting Relationship between Attributes for Improved Face Verification. Computer Vision and Image Understanding, vol.122.pp.143-154, 2014.

[3] Fengyi Song, Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou. A Literature Survey on Robust and Efficient Eye Localization in Real-life Scenarios. Pattern Recognition, 46(12), pp.3157-3173, 2013.

Conference Papers:

[1] Fengyi Song, Xiaoyang Tan. Learning One-Shot Exemplar SVM from the Web for Face Verification, In: Proceedings of the 12th Asian Conference on Computer Vision (ACCV 2014), Singapore, 2014.

[2] Fengyi Song, Xiaoyang Tan, Songcan Chen. Exploiting Relationship between Attributes for Improved Face Verification. Proceedings of the 23rd British Machine Vision Conference (BMVC 2012), pp.27.1–27.11, 2012.

[3] Xiaoyang Tan, Fengyi Song, Zhi-Hua Zhou, Songcan Chen. Enhanced Pictorial Structures for Precise Eye Localization Under Uncontrolled Conditions. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR2009), pp.1621-1628, Miami, Florida, USA, June2009.

Patents:

Fengyi Song, Yi Li, Xiaoyang Tan. A Method of Eye Localization. Beijing: People’s Publishing House.

 

Contact:

f.song@njnu.edu.cn