Yuming Fang
Yuming Fang
Jiangxi University of Finance and Economics
Verified email at ntu.edu.sg - Homepage
Cited by
Cited by
Saliency detection in the compressed domain for adaptive image retargeting
Y Fang, Z Chen, W Lin, CW Lin
IEEE Transactions on Image Processing 21 (9), 3888-3901, 2012
No-reference quality assessment of contrast-distorted images based on natural scene statistics
Y Fang, K Ma, Z Wang, W Lin, Z Fang, G Zhai
IEEE Signal Processing Letters 22 (7), 838-842, 2014
A saliency detection model using low-level features based on wavelet transform
N Imamoglu, W Lin, Y Fang
IEEE transactions on multimedia 15 (1), 96-105, 2012
A video saliency detection model in compressed domain
Y Fang, W Lin, Z Chen, CM Tsai, CW Lin
IEEE transactions on circuits and systems for video technology 24 (1), 27-38, 2013
Video saliency incorporating spatiotemporal cues and uncertainty weighting
Y Fang, Z Wang, W Lin, Z Fang
IEEE transactions on image processing 23 (9), 3910-3921, 2014
Saliency detection for stereoscopic images
Y Fang, J Wang, M Narwaria, P Le Callet, W Lin
IEEE Transactions on Image Processing 23 (6), 2625-2636, 2014
Bottom-up saliency detection model based on human visual sensitivity and amplitude spectrum
Y Fang, W Lin, BS Lee, CT Lau, Z Chen, CW Lin
IEEE Transactions on Multimedia 14 (1), 187-198, 2011
Perceptual quality assessment of screen content images
H Yang, Y Fang, W Lin
IEEE Transactions on Image Processing 24 (11), 4408-4421, 2015
No-reference quality assessment for multiply-distorted images in gradient domain
Q Li, W Lin, Y Fang
IEEE Signal Processing Letters 23 (4), 541-545, 2016
Saliency-based defect detection in industrial images by using phase spectrum
X Bai, Y Fang, W Lin, L Wang, BF Ju
IEEE Transactions on Industrial Informatics 10 (4), 2135-2145, 2014
Objective quality assessment for image retargeting based on structural similarity
Y Fang, K Zeng, Z Wang, W Lin, Z Fang, CW Lin
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 4 (1 …, 2014
Blind image quality assessment using statistical structural and luminance features
Q Li, W Lin, J Xu, Y Fang
IEEE Transactions on Multimedia 18 (12), 2457-2469, 2016
No-reference and robust image sharpness evaluation based on multiscale spatial and spectral features
L Li, W Xia, W Lin, Y Fang, S Wang
IEEE Transactions on Multimedia 19 (5), 1030-1040, 2016
Abnormal event detection in crowded scenes based on deep learning
Z Fang, F Fei, Y Fang, C Lee, N Xiong, L Shu, S Chen
Multimedia Tools and Applications 75 (22), 14617-14639, 2016
Objective quality assessment for image retargeting based on perceptual geometric distortion and information loss
CC Hsu, CW Lin, Y Fang, W Lin
IEEE Journal of Selected Topics in Signal Processing 8 (3), 377-389, 2014
No reference quality assessment for screen content images with both local and global feature representation
Y Fang, J Yan, L Li, J Wu, W Lin
IEEE Transactions on Image Processing 27 (4), 1600-1610, 2017
Orientation selectivity based visual pattern for reduced-reference image quality assessment
J Wu, W Lin, G Shi, L Li, Y Fang
Information Sciences 351, 18-29, 2016
Objective quality assessment of screen content images by uncertainty weighting
Y Fang, J Yan, J Liu, S Wang, Q Li, Z Guo
IEEE Transactions on Image Processing 26 (4), 2016-2027, 2017
Single image deraining: From model-based to data-driven and beyond
W Yang, RT Tan, S Wang, Y Fang, J Liu
IEEE Transactions on pattern analysis and machine intelligence, 2020
High-order local ternary patterns with locality preserving projection for smoke detection and image classification
F Yuan, J Shi, X Xia, Y Fang, Z Fang, T Mei
Information Sciences 372, 225-240, 2016
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