
- Computer Vision and Pattern Recognition
- Face Image Understanding
- Attribute Learning
- Zero-shot Learning
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 Interests:
Computer Vision and Pattern Recognition
Face Image Understanding
Attribute Learning
Zero-shot Learning
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 for Eye Localization. Beijing: People’s Publishing House.
Contact:
f.song@njnu.edu.cn