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Fangfang Lu
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2020 – today
- 2024
- [j10]Fangfang Lu, Tianxiang Liu, Ting Zhang, Bei Jin, Weiyan Gu:
CHDNet: A lightweight weakly supervised segmentation network for lung CT image. Displays 82: 102650 (2024) - [c10]Zijian Chen, Wei Sun, Zicheng Zhang, Ru Huang, Fangfang Lu, Xiongkuo Min, Guangtao Zhai, Wen-Jun Zhang:
FS-BAND: A Frequency-Sensitive Banding Detector. ISCAS 2024: 1-5 - 2023
- [j9]Fangfang Lu, Yingjie Lian, Bei Jin, Weiyan Gu:
Visual saliency assistance mechanism based on visually impaired navigation systems. Displays 79: 102482 (2023) - [j8]Fangfang Lu, Zhihao Zhang, Tianxiang Liu, Chi Tang, Hualin Bai, Guangtao Zhai, Jingjing Chen, Xiaoxin Wu:
A weakly supervised inpainting-based learning method for lung CT image segmentation. Pattern Recognit. 144: 109861 (2023) - [j7]Fangfang Lu, Chi Tang, Tianxiang Liu, Zhihao Zhang, Leida Li:
Multi-Attention Segmentation Networks Combined with the Sobel Operator for Medical Images. Sensors 23(5): 2546 (2023) - [i2]Zijian Chen, Wei Sun, Jun Jia, Fangfang Lu, Zicheng Zhang, Jing Liu, Ru Huang, Xiongkuo Min, Guangtao Zhai:
BAND-2k: Banding Artifact Noticeable Database for Banding Detection and Quality Assessment. CoRR abs/2311.17752 (2023) - [i1]Zijian Chen, Wei Sun, Zicheng Zhang, Ru Huang, Fangfang Lu, Xiongkuo Min, Guangtao Zhai, Wenjun Zhang:
FS-BAND: A Frequency-Sensitive Banding Detector. CoRR abs/2311.18216 (2023) - 2022
- [j6]Fangfang Lu, Zhihao Zhang, Lingling Guo, Jingjing Chen, Yihan Zhu, Ke Yan, Xiaokang Zhou:
HFENet: A lightweight hand-crafted feature enhanced CNN for ceramic tile surface defect detection. Int. J. Intell. Syst. 37(12): 10670-10693 (2022) - [j5]Xiaoxin Wu, Zhihao Zhang, Lingling Guo, Hui Chen, Qiaojie Luo, Bei Jin, Weiyan Gu, Fangfang Lu, Jingjing Chen:
FAM: focal attention module for lesion segmentation of COVID-19 CT images. J. Real Time Image Process. 19(6): 1091-1104 (2022) - [c9]Fangfang Lu, Tianxiang Liu, Chi Tang, Zhihao Zhang, Guangtao Zhai, Xiongkuo Min, Wei Sun:
A Lightweight Segmentation Network Based on Weak Supervision for COVID-19 Detection. IFTC 2022: 87-105 - [c8]Fangfang Lu, Yingjie Lian, Feng Qin, Guangtao Zhai, Xiongkuo Min, Wei Sun, Jianye Zhang:
MSPP-IQA: Adaptive Blind Image Quality Assessment Based on Multi-level Spatial Pyramid Pooling. IFTC 2022: 231-245 - [c7]Fangfang Lu, Chi Tang, Tianxiang Liu, Zhihao Zhang:
SMA-Net: Sobel Operator Combined with Multi-attention Networks for COVID-19 Lesion Segmentation. IFTC 2022: 377-390 - 2021
- [j4]Wenxiu He, Fangfang Lu, Jingjing Chen, Yi Ruan, Tingjuan Lu, Yi Zhang:
A Kernel-Based Node Localization in Anisotropic Wireless Sensor Network. Sci. Program. 2021: 9944358:1-9944358:8 (2021) - [c6]Fangfang Lu, Feng Qin, Jingjing Chen:
Blind Image Quality Assessment Based On Multi-scale Spatial Pyramid Pooling. HPCC/DSS/SmartCity/DependSys 2021: 1741-1747
2010 – 2019
- 2017
- [j3]Ting Zhang, Yi Du, Fangfang Lu:
Super-Resolution Reconstruction of Remote Sensing Images Using Multiple-Point Statistics and Isometric Mapping. Remote. Sens. 9(7): 724 (2017) - 2015
- [j2]Fangfang Lu, Jie Wang:
一种改进的处理不一致的回答集程序的方法 (Improved Method to Process Inconsistent Answer Set Program). 计算机科学 42(Z6): 542-545 (2015) - [j1]Fangfang Lu, Qunfei Zhao, Genke Yang:
A no-reference image quality assessment approach based on steerable pyramid decomposition using natural scene statistics. Neural Comput. Appl. 26(1): 77-90 (2015)
2000 – 2009
- 2007
- [c5]Fangfang Lu, Zhouyu Fu, Antonio Robles-Kelly:
Efficient Graph Cuts for Multiclass Interactive Image Segmentation. ACCV (2) 2007: 134-144 - [c4]Fangfang Lu, Richard I. Hartley:
A Fast Optimal Algorithm for L 2 Triangulation. ACCV (2) 2007: 279-288 - [c3]Zhouyu Fu, Antonio Robles-Kelly, Fangfang Lu:
A Linear Programming Approach to Surface Fitting. DICTA 2007: 189-195 - [c2]Zhouyu Fu, Antonio Robles-Kelly, Fangfang Lu:
Robust Surface Reconstruction from Gradient Field Using the L1 Norm. DICTA 2007: 203-209 - [c1]Fangfang Lu, Hongdong Li:
KLDA - An Iterative Approach to Fisher Discriminant Analysis. ICIP (2) 2007: 201-204
Coauthor Index
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last updated on 2024-11-26 21:44 CET by the dblp team
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