Yaping Yan
Ph.D., Associate Professor
PAttern Learning and Mining (PALM) Lab,
School of Computer Science and Engineering, Southeast University
Email: yan AT seu.edu.cn
Office: Room 234, Building of Computer Science, Jiulonghu Campus, Southeast University, Nanjing, China
Biography
闫亞萍，副教授，碩士生導師，于2020年獲日本北海道大學工學博士學位。主要從事計算機視覺方向的算法研究及其在圖像異常檢測、視覺質量評估、特征匹配等領域的應用。主持及參與多項國家自然科學基金和江蘇省自然科學基金項目，入選江蘇省“雙創博士”，在國際著名學術期刊和會議上發表論文二十餘篇，擔任多個CCF-A類會議及期刊審稿人。
Research Interests
Image anomaly detection
Few/Zero-shot learning
Self-supervised learning
Visual quality assessment
Education
2016.10-2020.03, Ph.D., Hokkaido University, Japan
2013.09-2016.06, M.Sc., Lanzhou University, China
2006.09-2010.06, B.Sc., Zhejiang University, China
Selected Publications
A Comprehensive Augmentation Framework for Anomaly Detection
Jiang Lin, Yaping Yan*
AAAI Conference on Artificial Intelligence (AAAI'24), Vancouver, Canada, 2024. (CCF A)
Scene-Aware Feature Matching
Xiaoyong Lu, Yaping Ya, Tong Wei, Songlin Du
International Conference on Computer Vision (ICCV'23), pp. 3681-3690, 2023. (CCF A)
Bi-SCM: bidirectional spiking cortical model with adaptive unsharp masking for mammography image enhancement
Yaping Yan*, Hongjuan Zhang, and Yide Ma
Multimedia Tools and Applications, vol. 82, no. 8, pp. 12081-12098, 2023.
ParaFormer: Parallel Attention Transformer for Efficient Feature Matching
Xiaoyong Lu, Yaping Yan, Bin Kang, and Songlin Du
AAAI Conference on Artificial Intelligence (AAAI'23), Washington D.C., 2023. (CCF A)
JointFusionNet: Parallel Learning Human Structural Local and Global Joint Features for 3D Human Pose Estimation
Zhiwei Yuan, Yaping Yan, and Takeshi Ikenaga
International Conference on Artificial Neural Networks (ICANN'22), pp. 113-125, 2022.
Learning from Noisy Labels via Meta Credible Label Elicitation
Ziyang Gao, Yaping Yan*, and Xin Geng
IEEE International Conference on Image Processing (ICIP'22), pp. 1391-1395, 2022.
Accumulated and aggregated shifting of intensity for defect detection on micro 3D textured surfaces
Yaping Yan*, Shun’ichi Kaneko, and Hirokazu Asano
Pattern Recognition, vol. 98, pp. 107057, 2020.
Unsupervised accumulated aggregation shifiting for robust defect detection in real industry
Yaping Yan* and Shun'ichi Kaneko
International Conference on Quality Control by Artificial Vision (QCAV), pp. 30-35, 2019.
Robust defect detection on 3D textured low-contrast surfaces using accumulated aggregation shifting model
Yaping Yan*, Sheng Xiang, Hirokazu Asano, and Shun'ichi Kaneko
France-Japan and Europe-Asia Congress on Mechatronics, pp. 110-115, 2018.
Accumulated aggregation shifting based on feature enhancement for defect detection on 3D textured low-contrast surfaces
Yaping Yan*, Sheng Xiang, Hirokazu Asano, and Shun'ichi Kaneko
International Conference on Pattern Recognition (ICPR), pp. 2965-2970, 2018.
Robust printing defect detection on 3D textured surfaces by multiple paired pixel consistency of orientation codes
Sheng Xiang, Yaping Yan, Hirokazu Asano, and Shun'ichi Kaneko
France-Japan and Europe-Asia Congress on Mechatronics, pp. 373-378, 2018.
Blind Image Quality Assessment With the Histogram Sequences of High-Order Local Derivative Patterns
Songlin Du, Yaping Yan, and Yide Ma
Digital Signal Processing, vol. 55, pp. 1-12, 2017.
When spatial distribution unites with spatial contrast: an effective blind image assessment model
Yaping Yan, Songlin Du, Hongjuan Zhang, and Yide Ma
IET Image Processing, vol. 10, no. 12, pp. 1017-1028, 2016.
Learning the Histogram Sequences of Generalized Local Ternary Patterns for Blind Image Quality Assessment
Yaping Yan, Songlin Du, Hongjuan Zhang, and Yide Ma
International Conference on Graphic and Image Processing (ICGIP), pp. 981707, 2015.
Academic Services
PC for
IJCAI
Reviewer for
IEEE Transactions on Emerging Topics in Computing,
Pattern Recognition,
IEEE Transactions on Cybernetics,
...
Teaching
Undergraduate course
Computer Vision（計算機視覺）
