SSZ
![]() |
- Associate professor
- Supervisor of Master's Candidates
- Name (English):Song-Zhi Su
- Name (Pinyin):SSZ
- Date of Employment:2011-07-25
- School/Department:信息学院
- Education Level:博士研究生毕业
- Degree:Doctor of Engineering (D.Eng.)
- Professional Title:Associate professor
- Status:在职
- Alma Mater:厦门大学
- Teacher College:School of Information
- Discipline:计算机应用技术
![](/_ts/ywmb4/images/com_tit_01.png)
No content
- Paper Publications
- CWH,Song-Zhi Su.A novel dataset generating method for fine-grained vehicle classification with CNN.International Journal of Database Theory and Application,9(6):45-52.
- LSZ,Song-Zhi Su.Stratified pooling based deep convolutional neural networks for human action recognition.Multimedia Tools and Applications,2016,1-16.
- LSZ,Song-Zhi Su.Learning rich features from objectness estimation for human lying-pose detection.Multimedia Systems,2016,1-12.
- Song-Zhi Su,CBDF: Compressed Binary Discriminative Feature.NEUROCOMPUTING,2016,18443-54.
- LSZ,Song-Zhi Su.Multi-matched similarity: A new method for image retrieval.Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),9567646-654.
- Song-Zhi Su,Traffic analysis without motion features.Proceedings - International Conference on Image Processing, ICIP,2015,2015-December3290-3294.
- LSZ,Song-Zhi Su.An Improved 3D Bilinear Multidimensional Morphable Models Used in 3D Face Recognition.2014 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE, ELECTRONICS AND ELECTRICAL ENGINEERING (ISEEE), VOLS 1-3,2014,32052-2056.
- LSZ,Song-Zhi Su.Detection based object labeling of 3D point cloud for indoor scenes.Neurocomputing,2016,1741101-1106.
- LSZ,JRR,Song-Zhi Su.Feature learning based on SAE-PCA network for human gesture recognition in RGBD images.Neurocomputing,2015,151(P2):565-573.
- Song-Zhi Su.Nonlinear background filter to improve pedestrian detection.Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),9281535-543.