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Fei Gao

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Fei Gao
+ Xianghu Elite Professor +

fgao xidian.edu.cn

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About Me
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Fei Gao

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Fei Gao is currently with the Hangzhou Institute of Technology, in Xidian University. He received his Bachelor Degree in Electronic Engineering and Ph.D. Degree in Information and Communication Engineering from Xidian University (Xi’an, China) in 2009 and 2015, respectively. From Oct. 2012 to Sep. 2013, he was a Visiting Ph.D. Candidate in University of Technology, Sydney (UTS) in Australia.

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He mainly applies machine learning techniques to computer vision problems. His research interests include visual quality assessment and enhancement, intelligent visual arts generation, biomedical image analysis, etc. His research results have expounded in more than 30 publications at prestigious journals and conferences. He serverd for a number of journals and conferences.

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30

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Journal/Conference

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Publications
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Postgraduates

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Wenwang Han
+ 2023- +
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Yifan Jiang
+ 2022- +
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Si Shi
+ 2022- +
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Research
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Projects

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+ AI + Art + +

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  • Artificial Intelligence Generated Content (AIGC)
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  • Low-level Analysis of Art Images, e.g. detection, segmentation
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  • Image Aesthetic Assessment (IAA) and Enhancement
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  • Facial Image Quality Assessment (FIQA)
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  • Generative Adversarial Networks (GAN), Diffusion Model, Cross-modal Learning
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+ AI in Health and Medicine + +

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  • Intelligent Early Screening for Breast Cancer
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  • Pulmonary Nodules classification for Lung Cancer
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  • Brain Imaging Analysis and Generation，e.g. MRI, CT
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  • Transformers, Generative Adversarial Networks (GAN), Cross-modal Learning.
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Selected Publications

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  • Chang Jiang, Fei Gao, Biao Ma, Yuhao Lin, Nannan Wang, Gang Xu: Masked and Adaptive Transformer for Exemplar Based Image Translation. IEEE CVPR, accepted (2023)
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  • Jun Yu, Xingxin Xu, Fei Gao, Shengjie Shi, Meng Wang, Dacheng Tao, Qingming Huang: Toward Realistic Face Photo-Sketch Synthesis via Composition-Aided GANs. IEEE Trans. Cybern. 51(9): 4350-4362 (2021)
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  • Fei Gao, Xingxin Xu, Jun Yu, Meimei Shang, Xiang Li, Dacheng Tao: Complementary, Heterogeneous and Adversarial Networks for Image-to-Image Translation. IEEE Trans. Image Process. 30: 3487-3498 (2021)
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  • Hanliang Jiang, Fuhao Shen, Fei Gao, Weidong Han: Learning efficient, explainable and discriminative representations for pulmonary nodules classification. Pattern Recognit. 113: 107825 (2021)
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  • Lin Zhao, Meimei Shang, Fei Gao, Rongsheng Li, Fei Huang, Jun Yu: Representation learning of image composition for aesthetic prediction. Comput. Vis. Image Underst. 199: 103024 (2020)
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  • Hanliang Jiang, Fei Gao, Xingxin Xu, Fei Huang, Suguo Zhu: Attentive and ensemble 3D dual path networks for pulmonary nodules classification. Neurocomputing 398: 422-430 (2020)
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  • Fei Gao, Jingjie Zhu, Zeyuan Yu, Peng Li, Tao Wang: Making Robots Draw A Vivid Portrait In Two Minutes. IROS 2020: 9585-9591
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  • Fei Gao, Jun Yu, Suguo Zhu, Qingming Huang, Qi Tian: Blind image quality prediction by exploiting multi-level deep representations. Pattern Recognit. 81: 432-442 (2018)
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  • Fei Gao, Yi Wang, Panpeng Li, Min Tan, Jun Yu, Yani Zhu: DeepSim: Deep similarity for image quality assessment. Neurocomputing 257: 104-114 (2017)
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  • Fei Gao, Jun Yu: Biologically inspired image quality assessment. Signal Process. 124: 210-219 (2016)
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  • Fei Gao, Dacheng Tao, Xinbo Gao, Xuelong Li: Learning to Rank for Blind Image Quality Assessment. IEEE Trans. Neural Networks Learn. Syst. 26(10): 2275-2290 (2015)
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  • Xinbo Gao, Fei Gao, Dacheng Tao, Xuelong Li: Universal Blind Image Quality Assessment Metrics Via Natural Scene Statistics and Multiple Kernel Learning. IEEE Trans. Neural Networks Learn. Syst. 24(12): 2013-2026 (2013)
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Laboratory

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Contact

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No. 2 South Taibai Road,

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Xi’an, Shaanxi 710071, China

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nnwang xidian.edu.cn

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Links

+ Xidian University + Hangzhou Institute + ISN State Key Lab. + VIPSL (Xinbo Gao) + USYD (Dacheng Tao) +
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