Peng Ye

Affiliations:
  • Airbnb, San Francisco, CA, USA
  • SONY US Research Center, USA (former)
  • University of Maryland, Language and Media Processing Laboratory, College Park, MD, USA (PhD 2014)


According to our database1, Peng Ye authored at least 23 papers between 2011 and 2016.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2016
Blind Image Quality Assessment Based on High Order Statistics Aggregation.
IEEE Trans. Image Process., 2016

No-reference document image quality assessment based on high order image statistics.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015
Local feature aggregation for blind image quality assessment.
Proceedings of the 2015 Visual Communications and Image Processing, 2015

Simultaneous estimation of image quality and distortion via multi-task convolutional neural networks.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014
Structural similarity for document image classification and retrieval.
Pattern Recognit. Lett., 2014

Detecting Structural Irregularity in Electronic Dictionaries Using Language Modeling.
CoRR, 2014

A random forest system combination approach for error detection in digital dictionaries.
CoRR, 2014

Statistical metric fusion for image quality assessment.
Proceedings of the 2014 IEEE Visual Communications and Image Processing Conference, 2014

Convolutional Neural Networks for Document Image Classification.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

No-reference video quality assessment via feature learning.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

A deep learning approach to document image quality assessment.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Beyond Human Opinion Scores: Blind Image Quality Assessment Based on Synthetic Scores.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Active Sampling for Subjective Image Quality Assessment.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Convolutional Neural Networks for No-Reference Image Quality Assessment.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Document Image Quality Assessment: A Brief Survey.
Proceedings of the 12th International Conference on Document Analysis and Recognition, 2013

Real-Time No-Reference Image Quality Assessment Based on Filter Learning.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

A Dataset for Quality Assessment of Camera Captured Document Images.
Proceedings of the Camera-Based Document Analysis and Recognition, 2013

2012
No-Reference Image Quality Assessment Using Visual Codebooks.
IEEE Trans. Image Process., 2012

Learning features for predicting OCR accuracy.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Learning document structure for retrieval and classification.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Learning Text-Line Segmentation Using Codebooks and Graph Partitioning.
Proceedings of the 2012 International Conference on Frontiers in Handwriting Recognition, 2012

Unsupervised feature learning framework for no-reference image quality assessment.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
No-reference image quality assessment based on visual codebook.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011


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