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Fei Gao 0006
Person information
- affiliation: Hangzhou Dianzi University, School of Computer Science and Technology, Key Laboratory of Complex Systems Modeling and Simulation, China
- affiliation (PhD 2015): Xidian University, State Key Laboratory of Integrated Services Network, Xi'an, China
Other persons with the same name
- Fei Gao — disambiguation page
- Fei Gao 0001 — Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China
- Fei Gao 0002 — Wuhan University of Technology, School of Sciences / Department of Mathematics, Wuhan, China
- Fei Gao 0003 — University of Technology of Belfort-Montbéliard, Belfort, France
- Fei Gao 0004 — Shanghai Jiao Tong University, China (and 2 more)
- Fei Gao 0005 — Beihang University, Electronic Information Engineering, Beijing, China (and 1 more)
- Fei Gao 0007 — Indiana University, Kelley School of Business, Bloomington, IN, USA
- Fei Gao 0008 — Bowling Green State University, Department of Visual Communication and Technology Education, OH, USA
- Fei Gao 0009 — King's College London, UK
- Fei Gao 0010 — ShanghaiTech University, School of Information Science and Technology, Shanghai, China (and 1 more)
- Fei Gao 0011 — Zhejiang University, Institute of Cyber-Systems and Control, Hangzhou, China (and 1 more)
- Fei Gao 0012 — City University of Hong Kong, Department of Systems Engineering and Engineering Management, Hong Kong
- Fei Gao 0013 — Chinese Academy of Agricultural Sciences, Beijing, China
- Fei Gao 0014 — Zhejiang University of Technology, Hangzhou, China
- Fei Gao 0015 — Arizona State University, School of Computing, Informatics and Decision Systems Engineering, Tempe, USA
- Fei Gao 0016 — Princeton University, NJ, USA
- Fei Gao 0017 — Shandong Jiaotong University, School of Aeronautics, Jinan, China (and 1 more)
- Fei Gao 0018 — Chinese Academy of Sciences, Institute of Computing Technology, China (and 1 more)
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2020 – today
- 2023
- [j19]Shahadat Shahed, Yuhao Lin, Jiangnan Hong, Jinglin Zhou, Fei Gao:
Explicitly Semantic Guidance for Face Sketch Attribute Recognition With Imbalanced Data. IEEE Signal Process. Lett. 30: 1502-1506 (2023) - 2022
- [j18]Dandan Wang, Jinlan Xu, Fei Gao, Charlie C. L. Wang, Renshu Gu, Fei Lin, Timon Rabczuk, Gang Xu:
IGA-Reuse-NET: A deep-learning-based isogeometric analysis-reuse approach with topology-consistent parameterization. Comput. Aided Geom. Des. 95: 102087 (2022) - [c15]Jingjie Zhu, Lingna Dai, Chenghao Xia, Chenyang Jiang, Weiyu Weng, Yiyuan Zhang, Jinglin Zhou, Fei Gao, Peng Li, Mingrui Zhu, Nannan Wang:
Artistic Portrait Applet, Robot, and Printer. CICAI (3) 2022: 615-620 - 2021
- [j17]Hanliang Jiang, Fuhao Shen, Fei Gao, Weidong Han:
Learning efficient, explainable and discriminative representations for pulmonary nodules classification. Pattern Recognit. 113: 107825 (2021) - [j16]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) - [j15]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) - [c14]Meimei Shang, Fei Gao, Xiang Li, Jingjie Zhu, Lingna Dai:
Bridging Unpaired Facial Photos and Sketches by Line-Drawings. ICASSP 2021: 2010-2014 - [c13]Xiang Li, Fei Gao, Fei Huang:
High-Quality Face Sketch Synthesis via Geometric Normalization and Regularization. ICME 2021: 1-6 - [i4]Hanliang Jiang, Fuhao Shen, Fei Gao, Weidong Han:
Learning Efficient, Explainable and Discriminative Representations for Pulmonary Nodules Classification. CoRR abs/2101.07429 (2021) - 2020
- [j14]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) - [j13]Fei Gao, Ziyun Li, Jun Yu, Junze Yu, Qingming Huang, Qi Tian:
Style-adaptive photo aesthetic rating via convolutional neural networks and multi-task learning. Neurocomputing 395: 247-254 (2020) - [j12]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) - [j11]Fei Gao, Jingjie Zhu, Hanliang Jiang, Zhenxing Niu, Weidong Han, Jun Yu:
Incremental focal loss GANs. Inf. Process. Manag. 57(3): 102192 (2020) - [j10]Xiaoling Gu, Fei Gao, Min Tan, Pai Peng:
Fashion analysis and understanding with artificial intelligence. Inf. Process. Manag. 57(5): 102276 (2020) - [c12]Fei Gao, Jingjie Zhu, Zeyuan Yu, Peng Li, Tao Wang:
Making Robots Draw A Vivid Portrait In Two Minutes. IROS 2020: 9585-9591 - [i3]Fei Gao, Jingjie Zhu, Zeyuan Yu, Peng Li, Tao Wang:
Making Robots Draw A Vivid Portrait In Two Minutes. CoRR abs/2005.05526 (2020)
2010 – 2019
- 2019
- [c11]Shengjie Shi, Fei Gao, Xuantong Meng, Xingxin Xu, Jingjie Zhu:
Improving Facial Attractiveness Prediction via Co-attention Learning. ICASSP 2019: 4045-4049 - [c10]Lingna Dai, Fei Gao, Rongsheng Li, Jiachen Yu, Xiaoyuan Shen, Huilin Xiong, Weilun Wu:
Gated Fusion of Discriminant Features for Caricature Recognition. IScIDE (1) 2019: 563-573 - 2018
- [j9]Suguo Zhu, Zhenying Fang, Fei Gao:
Hierarchical convolutional features for end-to-end representation-based visual tracking. Mach. Vis. Appl. 29(6): 955-963 (2018) - [j8]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) - [j7]Jun Yu, Kejia Sun, Fei Gao, Suguo Zhu:
Face biometric quality assessment via light CNN. Pattern Recognit. Lett. 107: 25-32 (2018) - [j6]Min Tan, Jun Yu, Zhou Yu, Fei Gao, Yong Rui, Dacheng Tao:
User-Click-Data-Based Fine-Grained Image Recognition via Weakly Supervised Metric Learning. ACM Trans. Multim. Comput. Commun. Appl. 14(3): 70:1-70:23 (2018) - [c9]Xuantong Meng, Fei Gao, Shengjie Shi, Suguo Zhu, Jingjie Zhu:
MLANs: Image Aesthetic Assessment via Multi-Layer Aggregation Networks. IPTA 2018: 1-6 - 2017
- [j5]Fei Gao, Yi Wang, Panpeng Li, Min Tan, Jun Yu, Yani Zhu:
DeepSim: Deep similarity for image quality assessment. Neurocomputing 257: 104-114 (2017) - [j4]Jun Yu, Xiaokang Yang, Fei Gao, Dacheng Tao:
Deep Multimodal Distance Metric Learning Using Click Constraints for Image Ranking. IEEE Trans. Cybern. 47(12): 4014-4024 (2017) - [c8]Panpeng Li, Ziyun Li, Fei Gao, Li Wan, Jun Yu:
Convolutional neural networks for intestinal hemorrhage detection in wireless capsule endoscopy images. ICME 2017: 1518-1523 - [i2]Fei Gao, Shengjie Shi, Jun Yu, Qingming Huang:
Composition-aided Sketch-realistic Portrait Generation. CoRR abs/1712.00899 (2017) - 2016
- [j3]Fei Gao, Jun Yu:
Biologically inspired image quality assessment. Signal Process. 124: 210-219 (2016) - [c7]Xi Li, Jun Yu, Fei Gao, Jian Zhang:
Data-driven facial animation via hypergraph learning. SMC 2016: 442-445 - [c6]Xiaowei Zhang, Fei Gao, Di Huang, Min Tan, Jun Yu:
Photo aesthetic quality assessment via label distribution learning. SMC 2016: 1467-1470 - 2015
- [j2]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) - 2013
- [j1]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) - [c5]Ning Mei, Fei Gao, Wen Lu, Xinbo Gao:
Blind Image Quality Assessment with Semi-supervised Learning and Fuzzy Logic. IScIDE 2013: 184-191 - [i1]Fei Gao, Dacheng Tao, Xinbo Gao, Xuelong Li:
Learning to Rank for Blind Image Quality Assessment. CoRR abs/1309.0213 (2013) - 2012
- [c4]Fei Gao, Dacheng Tao, Xuelong Li, Xinbo Gao, Lihuo He:
Local Structure Divergence Index for Image Quality Assessment. ICONIP (5) 2012: 337-344 - [c3]Lihuo He, Dongxue Wang, Xuelong Li, Dacheng Tao, Xinbo Gao, Fei Gao:
Color Fractal Structure Model for Reduced-Reference Colorful Image Quality Assessment. ICONIP (2) 2012: 401-408 - 2011
- [c2]Fei Gao, Xinbo Gao, Dacheng Tao, Xuelong Li, Lihuo He, Wen Lu:
Universal no reference image quality assessment metrics based on local dependency. ACPR 2011: 298-302 - 2010
- [c1]Fei Gao, Xinbo Gao, Wen Lu, Dacheng Tao, Xuelong Li:
An image quality assessment metric with no reference using hidden Markov tree model. VCIP 2010: 774410
Coauthor Index
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last updated on 2024-04-18 20:33 CEST by the dblp team
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