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Hantao Liu
Hantao Liu
Full Professor of Computer Science, Cardiff University
Verified email at cardiff.ac.uk - Homepage
Title
Cited by
Cited by
Year
Visual attention in objective image quality assessment: Based on eye-tracking data
H Liu, I Heynderickx
IEEE Transactions on Circuits and Systems for Video Technology 21 (7), 971-982, 2011
3042011
A no-reference metric for perceived ringing artifacts in images
H Liu, N Klomp, I Heynderickx
IEEE Transactions on Circuits and Systems for Video Technology 20 (4), 529-539, 2009
1842009
The application of visual saliency models in objective image quality assessment: A statistical evaluation
W Zhang, A Borji, Z Wang, P Le Callet, H Liu
IEEE transactions on neural networks and learning systems 27 (6), 1266-1278, 2015
1382015
Multimodal sentiment analysis with image-text interaction network
T Zhu, L Li, J Yang, S Zhao, H Liu, J Qian
IEEE transactions on multimedia 25, 3375-3385, 2022
1132022
Studying the added value of visual attention in objective image quality metrics based on eye movement data
H Liu, I Heynderickx
2009 16th IEEE international conference on image processing (ICIP), 3097-3100, 2009
1022009
A perceptually relevant no-reference blockiness metric based on local image characteristics
H Liu, I Heynderickx
EURASIP Journal on Advances in Signal Processing 2009, 1-14, 2009
892009
A perception-aware decomposition and fusion framework for underwater image enhancement
Y Kang, Q Jiang, C Li, W Ren, H Liu, P Wang
IEEE Transactions on Circuits and Systems for Video Technology 33 (3), 988-1002, 2022
862022
Single image super-resolution quality assessment: a real-world dataset, subjective studies, and an objective metric
Q Jiang, Z Liu, K Gu, F Shao, X Zhang, H Liu, W Lin
IEEE Transactions on Image Processing 31, 2279-2294, 2022
782022
A Survey of DNN Methods For Blind Image Quality Assessment
X Yang, F Li, H Liu
IEEE ACCESS 7, 123788-123806, 2019
782019
TranSalNet: Towards perceptually relevant visual saliency prediction
J Lou, H Lin, D Marshall, D Saupe, H Liu
Neurocomputing 494, 455-467, 2022
752022
Multiscale natural scene statistical analysis for no-reference quality evaluation of DIBR-synthesized views
K Gu, J Qiao, S Lee, H Liu, W Lin, P Le Callet
IEEE Transactions on Broadcasting 66 (1), 127-139, 2019
752019
Interactions of visual attention and quality perception
J Redi, H Liu, R Zunino, I Heynderickx
Human Vision and Electronic Imaging XVI 7865, 267-277, 2011
732011
A no-reference perceptual blockiness metric
H Liu, I Heynderickx
2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008
682008
State of the Art: Eye-Tracking Studies in Medical Imaging
L Lévêque, H Bosmans, L Cockmartin, H Liu
IEEE Access 6, 37023-37034, 2018
642018
Toward a Reliable Collection of Eye-Tracking Data for Image Quality Research: Challenges, Solutions, and Applications
W Zhang, H Liu
IEEE Transactions on Image Processing 26 (5), 2424-2437, 2017
632017
Comparative study of fixation density maps
U Engelke, H Liu, J Wang, P Le Callet, I Heynderickx, HJ Zepernick, ...
IEEE Transactions on Image Processing 22 (3), 1121-1133, 2012
562012
A Comparative Study of Algorithms for Realtime Panoramic Video Blending
Z Zhu, J Lu, M Wang, S Zhang, RR Martin, H Liu, S Hu
IEEE Transactions on Image Processing 27 (6), 2952-2965, 2018
442018
Study of Saliency in Objective Video Quality Assessment
W Zhang, H Liu
IEEE Transactions on Image Processing 26 (3), 1275-1288, 2017
442017
Pairwise-comparison-based rank learning for benchmarking image restoration algorithms
B Hu, L Li, H Liu, W Lin, J Qian
IEEE Transactions on Multimedia 21 (8), 2042-2056, 2019
432019
How does image content affect the added value of visual attention in objective image quality assessment?
H Liu, U Engelke, J Wang, P Le Callet, I Heynderickx
IEEE Signal Processing Letters 20 (4), 355-358, 2013
432013
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