Fei Gao (高飞)
Fei Gao (高飞)
Hangzhou Dianzi University; AiSketcher Tech.
Verified email at hdu.edu.cn - Homepage
Cited by
Cited by
Universal Blind Image Quality Assessment Metrics Via Natural Scene Statistics and Multiple Kernel Learning
X Gao, F Gao, D Tao, X Li
IEEE Trans. on Neural Networks and Learning System 24 (12), 2013-2026, 2013
Learning to Rank for Blind Image Quality Assessment
F Gao, D Tao, X Gao, X Li
IEEE Transactions on Neural Networks and Learning Systems 26 (10), 2275-2290, 2015
Deepsim: Deep similarity for image quality assessment
F Gao, Y Wang, P Li, M Tan, J Yu, Y Zhu
Neurocomputing 257, 104-114, 2017
Blind image quality prediction by exploiting multi-level deep representations
F Gao, J Yu, S Zhu, Q Huang, Q Tian
Pattern Recognition 81, 432-442, 2018
Biologically inspired image quality assessment
F Gao, J Yu
Signal Processing 124, 210-219, 2016
Toward Realistic Face Photo-Sketch Synthesis via Composition-Aided GANs
J Yu, X Xu, F Gao, S Shi, M Wang, D Tao, Q Huang
IEEE Transactions on Cybernetics, 2020
Objective image quality assessment: a survey
L He, F Gao, W Hou, L Hao
International Journal of Computer Mathematics 91 (11), 2374-2388, 2014
Face biometric quality assessment via light CNN
J Yu, K Sun, F Gao, S Zhu
Pattern Recognition Letters 107, 25-32, 2018
Convolutional neural networks for intestinal hemorrhage detection in wireless capsule endoscopy images
P Li, Z Li, F Gao, L Wan, J Yu
2017 IEEE International Conference on Multimedia and Expo (ICME), 1518-1523, 2017
User-click-data-based fine-grained image recognition via weakly supervised metric learning
M Tan, J Yu, Z Yu, F Gao, Y Rui, D Tao
ACM Transactions on Multimedia Computing, Communications, and Applications …, 2018
Attentive and ensemble 3D dual path networks for pulmonary nodules classification
H Jiang, F Gao, X Xu, F Huang, S Zhu
Neurocomputing 398, 422-430, 2020
Fashion analysis and understanding with artificial intelligence
X Gu, F Gao, M Tan, P Peng
Information Processing & Management 57 (5), 102276, 2020
Improving facial attractiveness prediction via co-attention learning
S Shi, F Gao, X Meng, X Xu, J Zhu
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
Universal No Reference Image Quality Assessment Metrics Based on Local Dependency
F Gao, X Gao, D Tao, X Li, L He, W Lu
2011 First Asian Conference on Pattern Recognition (ACPR), 298 - 302, 2011
MLANs: image aesthetic assessment via multi-layer aggregation networks
X Meng, F Gao, S Shi, S Zhu, J Zhu
2018 Eighth International Conference on Image Processing Theory, Tools and …, 2018
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
An image quality assessment metric with no reference using hidden Markov tree model
F Gao, X Gao, W Lu, D Tao, X Li
Proceedings of SPIE 7744, 774410, 2010
Learning efficient, explainable and discriminative representations for pulmonary nodules classification
H Jiang, F Shen, F Gao, W Han
Pattern Recognition 113, 107825, 2021
Hierarchical convolutional features for end-to-end representation-based visual tracking
S Zhu, Z Fang, F Gao
Machine Vision and Applications 29 (6), 955-963, 2018
Blind image quality assessment via semi-supervised learning and fuzzy inference
W Lu, N Mei, F Gao, L He, X Gao
Applied Informatics 2 (1), 1-20, 2015
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