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 Mo Shan

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Average citations per article1.33
Citation Count4
Publication count3
Publication years2012-2016
Available for download1
Average downloads per article209.00
Downloads (cumulative)209
Downloads (12 Months)37
Downloads (6 Weeks)4
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1
December 2016 IEEE Transactions on Circuits and Systems for Video Technology: Volume 26 Issue 12, December 2016
Publisher: IEEE Press
Bibliometrics:
Citation Count: 0

Sparse coding (SC) is making a significant impact in computer vision and signal processing communities, which achieves the state-of-the-art performance in a variety of applications for images, e.g., denoising, restoration, and synthesis. We propose an adaptive and robust SC algorithm exploiting the characteristics of typical laser range data and the ...

2 published by ACM
August 2015 Journal on Computing and Cultural Heritage (JOCCH): Volume 8 Issue 4, August 2015
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 4,   Downloads (12 Months): 37,   Downloads (Overall): 209

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Inspired by the outstanding performance of sparse representation (SR) in a variety of image/video relevant classification and identification tasks, we propose an adaptive SR method for painting style analysis. Significantly improved over previous SR-based methods, which heavily rely on the comparison of query paintings, our method is able to authenticate ...
Keywords: discriminative patches, DCT baseline, Sparse representation, dictionary learning

3
October 2012 ECCV'12: Proceedings of the 12th European conference on Computer Vision - Volume Part V
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 2

Recent evaluation of representative background subtraction techniques demonstrated the drawbacks of these methods, with hardly any approach being able to reach more than 50% precision at recall level higher than 90%. Challenges in realistic environment include illumination change causing complex intensity variation, background motions (trees, waves, etc.) whose magnitude can ...



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