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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
12072014
Unsupervised Feature Learning Framework for No-reference Image Quality Assessment
P Ye, J Kumar, L Kang, D Doermann
CVPR 2012, 0
916*
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
4212016
No-reference image quality assessment using visual codebooks
P Ye, D Doermann
IEEE Transactions on Image Processing 21 (7), 3129-3138, 2012
3502012
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
1822014
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
1792015
Structural similarity for document image classification and retrieval
J Kumar, P Ye, D Doermann
Pattern Recognition Letters 43, 119-126, 2014
1132014
Document image quality assessment: A brief survey
P Ye, D Doermann
2013 12th International Conference on Document Analysis and Recognition, 723-727, 2013
1052013
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
962014
Customized regression model for airbnb dynamic pricing
P Ye, J Qian, J Chen, C Wu, Y Zhou, S De Mars, F Yang, L Zhang
Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018
892018
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
862014
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
862013
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
772014
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
732010
No-reference image quality assessment based on visual codebook
P Ye, D Doermann
IEEE International Conference on Image Processing, 3150-3153, 2011
692011
A dataset for quality assessment of camera captured document images
J Kumar, P Ye, D Doermann
Camera-Based Document Analysis and Recognition: 5th International Workshop …, 2014
652014
Learning document structure for retrieval and classification
J Kumar, P Ye, D Doermann
Proceedings of the 21st International Conference on Pattern Recognition …, 2012
602012
Active sampling for subjective image quality assessment
P Ye, D Doermann
Proceedings of the IEEE conference on computer vision and pattern …, 2014
502014
Learning features for predicting OCR accuracy
P Ye, D Doermann
Proceedings of the 21st International Conference on Pattern Recognition …, 2012
472012
Combining preference and absolute judgements in a crowd-sourced setting
P Ye, D Doermann
41*
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Articles 1–20