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Fang Fang 0003
Person information
- affiliation: Peking University, Key Laboratory of Machine Perception (MoE), Beijing, China
Other persons with the same name
- Fang Fang — disambiguation page
- Fang Fang 0001 — California State University at San Marcos, Department of ISOM, CA, USA
- Fang Fang 0002 — Delft University of Technology, Institute of Applied Mathematics, The Netherlands
- Fang Fang 0004 — Chongqing University of Posts & Telecommunications, School of Communication and Information Engineering, China
- Fang Fang 0005 — Western University, London, ON, Canada (and 2 more)
- Fang Fang 0006 — Southeast University, School of Automation, MOE Key Laboratory of Measurement and Control of CSE, Nanjing, China
- Fang Fang 0007 — North China Electric Power University, School of Control and Computer Engineering, Beijing, China
- Fang Fang 0008 — China University of Geosciences, Faculty of Information Engineering, Wuhan, China
- Fang Fang 0009 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China
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2020 – today
- 2024
- [j5]Xilin Chen, Fang Fang:
Variable selection of Kolmogorov-Smirnov maximization with a penalized surrogate loss. Comput. Stat. Data Anal. 195: 107944 (2024) - 2023
- [j4]Ruohua Shi, Keyan Bi, Kai Du, Lei Ma, Fang Fang, Lingyu Duan, Tingting Jiang, Tie-Jun Huang:
PS-Net: human perception-guided segmentation network for EM cell membrane. Bioinform. 39(8) (2023) - [c8]Mingzhou Liu, Xiangyu Zheng, Xinwei Sun, Fang Fang, Yizhou Wang:
Which Invariance Should We Transfer? A Causal Minimax Learning Approach. ICML 2023: 22488-22527
2010 – 2019
- 2019
- [j3]Jianrong Jia, Fang Fang, Huan Luo:
Selective spatial attention involves two alpha-band components associated with distinct spatiotemporal and functional characteristics. NeuroImage 199: 228-236 (2019) - 2016
- [i1]Cheng Chen, Xilin Zhang, Yizhou Wang, Fang Fang:
A Novel Method to Study Bottom-up Visual Saliency and its Neural Mechanism. CoRR abs/1604.08426 (2016) - 2015
- [j2]Nihong Chen, Taiyong Bi, Tiangang Zhou, Sheng Li, Zili Liu, Fang Fang:
Sharpened cortical tuning and enhanced cortico-cortical communication contribute to the long-term neural mechanisms of visual motion perceptual learning. NeuroImage 115: 17-29 (2015) - 2014
- [j1]Ge Guo, Yizhou Wang, Tingting Jiang, Alan L. Yuille, Fang Fang, Wen Gao:
A Shape Reconstructability Measure of Object Part Importance with Applications to Object Detection and Localization. Int. J. Comput. Vis. 108(3): 241-258 (2014) - 2012
- [c7]Cheng Chen, Xilin Zhang, Yizhou Wang, Fang Fang:
Measuring the Attentional Effect of the Bottom-Up Saliency Map of Natural Images. IScIDE 2012: 539-548 - 2011
- [c6]Wei Wang, Cheng Chen, Yizhou Wang, Tingting Jiang, Fang Fang, Yuan Yao:
Simulating human saccadic scanpaths on natural images. CVPR 2011: 441-448 - [c5]Chongxiu Wang, Laiyun Qing, Jun Miao, Fang Fang, Xilin Chen:
Attention driven face recognition: A combination of spatial variant fixations and glance. FG 2011: 740-745 - [c4]Fang Fang, Laiyun Qing, Jun Miao, Xilin Chen, Wen Gao:
Saliency Detection Based on Scale Selectivity of Human Visual System. ICONIP (1) 2011: 172-181 - 2010
- [c3]Fang Fang, Jun Miao, Laiyun Qing, Wen Gao:
A visual search system based on multi-scale population cell coding. IEEE ICCI 2010: 391-396
2000 – 2009
- 2008
- [c2]Fang Fang, Zhiguo Ma, Laiyun Qing, Jun Miao, Xilin Chen, Wen Gao:
Face reconstruction using fixation positions and foveated imaging. FG 2008: 1-6 - 2003
- [c1]Alan L. Yuille, Fang Fang, Paul R. Schrater, Daniel J. Kersten:
Human and Ideal Observers for Detecting Image Curves. NIPS 2003: 1459-1466
Coauthor Index
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