Peng Ye

Publication Activity (10 Years)

Years Active: 2011-2016
Publications (10 Years): 4

Top Topics

Convolutional Neural Networks

Order Statistics

Quality Assessment

Top Venues

Publications

Jingtao Xu, Peng Ye, Qiaohong Li, Haiqing Du, Yong Liu, David S. Doermann
Blind Image Quality Assessment Based on High Order Statistics Aggregation. IEEE Trans. Image Process. 25 (9) (2016)
Jingtao Xu, Peng Ye, Qiaohong Li, Yong Liu, David S. Doermann
No-reference document image quality assessment based on high order image statistics. ICIP (2016)
Jingtao Xu, Qiaohong Li, Peng Ye, Haiqing Du, Yong Liu
Local feature aggregation for blind image quality assessment. VCIP (2015)
Le Kang, Peng Ye, Yi Li, David S. Doermann
Simultaneous estimation of image quality and distortion via multi-task convolutional neural networks. ICIP (2015)
Le Kang, Peng Ye, Yi Li, David S. Doermann
A deep learning approach to document image quality assessment. ICIP (2014)
Jingtao Xu, Peng Ye, Yong Liu, David S. Doermann
No-reference video quality assessment via feature learning. ICIP (2014)
Le Kang, Jayant Kumar, Peng Ye, Yi Li, David S. Doermann
Convolutional Neural Networks for Document Image Classification. ICPR (2014)
Peng Ye, David S. Doermann
Active Sampling for Subjective Image Quality Assessment. CVPR (2014)
Jingtao Xu, Qiaohong Li, Peng Ye, Haiqing Du, Yong Liu
Statistical metric fusion for image quality assessment. VCIP (2014)
Le Kang, Peng Ye, Yi Li, David S. Doermann
Convolutional Neural Networks for No-Reference Image Quality Assessment. CVPR (2014)
Peng Ye, Jayant Kumar, David S. Doermann
Beyond Human Opinion Scores: Blind Image Quality Assessment Based on Synthetic Scores. CVPR (2014)
Paul Rodrigues, David M. Zajic, David S. Doermann, Michael Bloodgood, Peng Ye
Detecting Structural Irregularity in Electronic Dictionaries Using Language Modeling. CoRR (2014)
Jayant Kumar, Peng Ye, David S. Doermann
Structural similarity for document image classification and retrieval. Pattern Recognit. Lett. 43 (2014)
Michael Bloodgood, Peng Ye, Paul Rodrigues, David M. Zajic, David S. Doermann
A random forest system combination approach for error detection in digital dictionaries. CoRR (2014)
Jayant Kumar, Peng Ye, David S. Doermann
A Dataset for Quality Assessment of Camera Captured Document Images. CBDAR (2013)
Peng Ye, David S. Doermann
Document Image Quality Assessment: A Brief Survey. ICDAR (2013)
Peng Ye, Jayant Kumar, Le Kang, David S. Doermann
Real-Time No-Reference Image Quality Assessment Based on Filter Learning. CVPR (2013)
Peng Ye, David S. Doermann
No-Reference Image Quality Assessment Using Visual Codebooks. IEEE Trans. Image Process. 21 (7) (2012)
Peng Ye, David S. Doermann
Learning features for predicting OCR accuracy. ICPR (2012)
Jayant Kumar, Peng Ye, David S. Doermann
Learning document structure for retrieval and classification. ICPR (2012)
Peng Ye, Jayant Kumar, Le Kang, David S. Doermann
Unsupervised feature learning framework for no-reference image quality assessment. CVPR (2012)
Le Kang, Jayant Kumar, Peng Ye, David S. Doermann
Learning Text-Line Segmentation Using Codebooks and Graph Partitioning. ICFHR (2012)
Peng Ye, David S. Doermann
No-reference image quality assessment based on visual codebook. ICIP (2011)