Peng Ye
Peng Ye
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Verified email at umd.edu
Title
Cited by
Cited by
Year
Convolutional neural networks for no-reference image quality assessment
L Kang, P Ye, Y Li, D Doermann
Proceedings of the IEEE conference on computer vision and pattern …, 2014
5632014
Unsupervised Feature Learning Framework for No-reference Image Quality Assessment
P Ye, J Kumar, L Kang, D Doermann
CVPR 2012, 0
458*
No-reference image quality assessment using visual codebooks
P Ye, D Doermann
IEEE Transactions on Image Processing 21 (7), 3129-3138, 2012
2592012
Blind image quality assessment based on high order statistics aggregation
J Xu, P Ye, Q Li, H Du, Y Liu, D Doermann
IEEE Transactions on Image Processing 25 (9), 4444-4457, 2016
1292016
Convolutional neural networks for document image classification
L Kang, J Kumar, P Ye, Y Li, D Doermann
2014 22nd International Conference on Pattern Recognition, 3168-3172, 2014
852014
Simultaneous estimation of image quality and distortion via multi-task convolutional neural networks
L Kang, P Ye, Y Li, D Doermann
2015 IEEE international conference on image processing (ICIP), 2791-2795, 2015
752015
Real-time no-reference image quality assessment based on filter learning
P Ye, J Kumar, L Kang, D Doermann
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
732013
Document image quality assessment: A brief survey
P Ye, D Doermann
2013 12th International Conference on Document Analysis and Recognition, 723-727, 2013
662013
Structural similarity for document image classification and retrieval
J Kumar, P Ye, D Doermann
Pattern Recognition Letters 43, 119-126, 2014
552014
No-reference image quality assessment based on visual codebook
P Ye, D Doermann
IEEE International Conference on Image Processing, 3150-3153, 2011
522011
Experimental demonstration of an optical-sectioning compressive sensing microscope (CSM)
Y Wu, P Ye, IO Mirza, GR Arce, DW Prather
Optics express 18 (24), 24565-24578, 2010
502010
A dataset for quality assessment of camera captured document images
J Kumar, P Ye, D Doermann
International Workshop on Camera-Based Document Analysis and Recognition …, 2013
492013
Beyond human opinion scores: Blind image quality assessment based on synthetic scores
P Ye, J Kumar, D Doermann
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
462014
A deep learning approach to document image quality assessment
L Kang, P Ye, Y Li, D Doermann
2014 IEEE International Conference on Image Processing (ICIP), 2570-2574, 2014
452014
No-reference video quality assessment via feature learning
J Xu, P Ye, Y Liu, D Doermann
2014 IEEE international conference on image processing (ICIP), 491-495, 2014
442014
Le Kang, and David Doermann. Unsupervised feature learning framework for no-reference image quality assessment
P Ye, J Kumar
Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on …, 2012
412012
Learning features for predicting OCR accuracy
P Ye, D Doermann
Proceedings of the 21st International Conference on Pattern Recognition …, 2012
392012
Learning document structure for retrieval and classification
J Kumar, P Ye, D Doermann
Proceedings of the 21st International Conference on Pattern Recognition …, 2012
372012
Compressive confocal microscopy
P Ye, JL Paredes, GR Arce, Y Wu, C Chen, DW Prather
2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009
282009
Combining preference and absolute judgements in a crowd-sourced setting
P Ye, D Doermann
27*
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Articles 1–20