| Deep multimodal distance metric learning using click constraints for image ranking J Yu, X Yang, F Gao, D Tao IEEE transactions on cybernetics 47 (12), 4014-4024, 2016 | 378 | 2016 |
| Deepsim: Deep similarity for image quality assessment F Gao, Y Wang, P Li, M Tan, J Yu, Y Zhu Neurocomputing 257, 104-114, 2017 | 190 | 2017 |
| 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 | 162 | 2013 |
| 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 51 (9), 4350-4362, 2021 | 154* | 2021 |
| 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 | 142 | 2015 |
| 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 | 136 | 2018 |
| Learning efficient, explainable and discriminative representations for pulmonary nodules classification H Jiang, F Shen, F Gao, W Han Pattern Recognition 113, 107825, 2021 | 103 | 2021 |
| Fashion analysis and understanding with artificial intelligence X Gu, F Gao, M Tan, P Peng Information Processing & Management 57 (5), 102276, 2020 | 91 | 2020 |
| 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 | 72 | 2020 |
| Biologically inspired image quality assessment F Gao, J Yu Signal Processing 124, 210-219, 2016 | 68 | 2016 |
| Objective image quality assessment: a survey L He, F Gao, W Hou, L Hao International Journal of Computer Mathematics 91 (11), 2374-2388, 2014 | 57 | 2014 |
| Face biometric quality assessment via light CNN J Yu, K Sun, F Gao, S Zhu Pattern Recognition Letters 107, 25-32, 2018 | 50 | 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 | 48 | 2017 |
| Learning stacking regression for no-reference super-resolution image quality assessment K Zhang, D Zhu, J Li, X Gao, F Gao, J Lu Signal Processing 178, 107771, 2021 | 29 | 2021 |
| Representation learning of image composition for aesthetic prediction L Zhao, M Shang, F Gao, R Li, F Huang, J Yu Computer Vision and Image Understanding 199, 103024, 2020 | 28 | 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 | 28 | 2019 |
| Making Robots Draw A Vivid Portrait In Two Minutes F Gao, J Zhu, Z Yu, P Li, T Wang 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 26 | 2020 |
| Complementary, heterogeneous and adversarial networks for image-to-image translation F Gao, X Xu, J Yu, M Shang, X Li, D Tao IEEE Transactions on Image Processing 30, 3487-3498, 2021 | 25 | 2021 |
| Masked and adaptive transformer for exemplar based image translation C Jiang, F Gao, B Ma, Y Lin, N Wang, G Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 20 | 2023 |
| 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 | 20 | 2018 |
Jun Yu(俞俊)Professor, Harbin Institute of Technology, ShenzhenAdresse e-mail validée de hit.edu.cn
