| Sparse representation for blind image quality assessment L He, D Tao, X Li, X Gao 2012 IEEE Conference on Computer Vision and Pattern Recognition, 1146-1153, 2012 | 141 | 2012 |
| Semantic topic multimodal hashing for cross-media retrieval D Wang, X Gao, X Wang, L He Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015 | 108 | 2015 |
| Multimodal discriminative binary embedding for large-scale cross-modal retrieval D Wang, X Gao, X Wang, L He, B Yuan IEEE Transactions on Image Processing 25 (10), 4540-4554, 2016 | 51 | 2016 |
| Haze removal for a single visible remote sensing image Q Liu, X Gao, L He, W Lu Signal Processing 137, 33-43, 2017 | 29 | 2017 |
| Image quality assessment based on S-CIELAB model L He, X Gao, W Lu, X Li, D Tao Signal, Image and Video Processing 5 (3), 283-290, 2011 | 26 | 2011 |
| Label consistent matrix factorization hashing for large-scale cross-modal similarity search D Wang, X Gao, X Wang, L He IEEE transactions on pattern analysis and machine intelligence 41 (10), 2466 …, 2018 | 24 | 2018 |
| Objective image quality assessment: a survey L He, F Gao, W Hou, L Hao International Journal of Computer Mathematics 91 (11), 2374-2388, 2014 | 24 | 2014 |
| Single image dehazing with depth-aware non-local total variation regularization Q Liu, X Gao, L He, W Lu IEEE Transactions on Image Processing 27 (10), 5178-5191, 2018 | 22 | 2018 |
| A gated peripheral-foveal convolutional neural network for unified image aesthetic prediction X Zhang, X Gao, W Lu, L He IEEE Transactions on Multimedia 21 (11), 2815-2826, 2019 | 12 | 2019 |
| Single image super-resolution via multiple mixture prior models Y Huang, J Li, X Gao, L He, W Lu IEEE Transactions on Image Processing 27 (12), 5904-5917, 2018 | 11 | 2018 |
| On combining visual perception and color structure based image quality assessment W Lu, T Xu, Y Ren, L He Neurocomputing 212, 128-134, 2016 | 11 | 2016 |
| Statistical modeling in the shearlet domain for blind image quality assessment W Lu, T Xu, Y Ren, L He Multimedia Tools and Applications 75 (22), 14417-14431, 2016 | 10 | 2016 |
| Objective video quality assessment combining transfer learning with CNN Y Zhang, X Gao, L He, W Lu, R He IEEE transactions on neural networks and learning systems, 2019 | 8 | 2019 |
| Blind video quality assessment with weakly supervised learning and resampling strategy Y Zhang, X Gao, L He, W Lu, R He IEEE Transactions on Circuits and Systems for Video Technology 29 (8), 2244-2255, 2018 | 8 | 2018 |
| Video quality assessment by compact representation of energy in 3D-DCT domain L He, W Lu, C Jia, L Hao Neurocomputing 269, 108-116, 2017 | 8 | 2017 |
| Universal no reference image quality assessment metrics based on local dependency F Gao, X Gao, D Tao, X Li, L He, W Lu The First Asian Conference on Pattern Recognition, 298-302, 2011 | 8 | 2011 |
| Fast image quality assessment via supervised iterative quantization method L He, D Wang, Q Liu, W Lu Neurocomputing 212, 121-127, 2016 | 7 | 2016 |
| Color fractal structure model for reduced-reference colorful image quality assessment L He, D Wang, X Li, D Tao, X Gao, F Gao International Conference on Neural Information Processing, 401-408, 2012 | 7 | 2012 |
| Single image super resolution based on sparse domain selection W Lu, H Sun, R Wang, L He, MJ Jou, SS Syu, JS Li Neurocomputing 269, 180-187, 2017 | 5 | 2017 |
| A visual residual perception optimized network for blind image quality assessment L He, Y Zhong, W Lu, X Gao IEEE Access 7, 176087-176098, 2019 | 4 | 2019 |
Xinbo Gao（高新波）School of Electronic Engineering, Xidian UniversityVerified email at mail.xidian.edu.cn
