| 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 | 1351 | 2014 |
| Unsupervised Feature Learning Framework for No-reference Image Quality Assessment P Ye, J Kumar, L Kang, D Doermann CVPR 2012, 0 | 985* | |
| 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 | 478 | 2016 |
| No-reference image quality assessment using visual codebooks P Ye, D Doermann IEEE Transactions on Image Processing 21 (7), 3129-3138, 2012 | 359 | 2012 |
| 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 | 200 | 2014 |
| 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 | 195 | 2015 |
| Structural similarity for document image classification and retrieval J Kumar, P Ye, D Doermann Pattern Recognition Letters 43, 119-126, 2014 | 129 | 2014 |
| Document image quality assessment: A brief survey P Ye, D Doermann 2013 12th International Conference on Document Analysis and Recognition, 723-727, 2013 | 107 | 2013 |
| 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 | 103 | 2018 |
| 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 | 101 | 2014 |
| 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 | 91 | 2014 |
| 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 | 87 | 2013 |
| 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 | 80 | 2010 |
| 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 | 77 | 2014 |
| No-reference image quality assessment based on visual codebook P Ye, D Doermann IEEE International Conference on Image Processing, 3150-3153, 2011 | 68 | 2011 |
| 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 | 67 | 2014 |
| Learning document structure for retrieval and classification J Kumar, P Ye, D Doermann Proceedings of the 21st international conference on pattern recognition …, 2012 | 66 | 2012 |
| Active sampling for subjective image quality assessment P Ye, D Doermann Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 56 | 2014 |
| Learning features for predicting OCR accuracy P Ye, D Doermann Proceedings of the 21st International Conference on Pattern Recognition …, 2012 | 49 | 2012 |
| Combining preference and absolute judgements in a crowd-sourced setting P Ye, D Doermann | 39* | |
David DoermannProfessor, University at BuffaloVerified email at buffalo.edu
