Fei Gao
About Me
Fei Gao
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.
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.
30
Journal/Conference
Publications
Postgraduates
Derui Zhang
2023-Jiaqi Shi
2023-Wenwang Han
2023-Yifan Jiang
2022-Si Shi
2022-Research
Projects
Selected Publications
- Gao F, Zhu Y, Jiang C, et al. Human-Inspired Facial Sketch Synthesis with Dynamic Adaptation[C]//Proceedings of the IEEE/CVF International Conference on Computer Vision. 2023: 7237-7247.
- Biao Ma, Fei Gao, Chang Jiang, Nannan Wang, Gang Xu: Semantic-aware Generation of Multi-view Portrait Drawings. Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 1258-1266, 2023.
- Chang Jiang, Fei Gao, Biao Ma, Yuhao Lin, Nannan Wang, Gang Xu, “Masked and Adaptive Transformer for Exemplar Based Image Translation,” *Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, pp. 22418-22427.
- 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)
- 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)
- Hanliang Jiang, Fuhao Shen, Fei Gao, Weidong Han: Learning efficient, explainable and discriminative representations for pulmonary nodules classification. Pattern Recognit. 113: 107825 (2021)
- 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)
- 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)
- Fei Gao, Jingjie Zhu, Zeyuan Yu, Peng Li, Tao Wang: Making Robots Draw A Vivid Portrait In Two Minutes. IROS 2020: 9585-9591
- 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)
- Fei Gao, Yi Wang, Panpeng Li, Min Tan, Jun Yu, Yani Zhu: DeepSim: Deep similarity for image quality assessment. Neurocomputing 257: 104-114 (2017)
- Fei Gao, Jun Yu: Biologically inspired image quality assessment. Signal Process. 124: 210-219 (2016)
- 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)
- 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)