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Fuzhang Li
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2020 – today
- 2024
- [j10]Xintao Pang, Chuan Lin, Fuzhang Li, Yongcai Pan:
Bio-inspired XYW parallel pathway edge detection network. Expert Syst. Appl. 237(Part C): 121649 (2024) - [j9]Xiao Zhang, Chuan Lin, Fuzhang Li, Yijun Cao, Yongjie Li:
LVP-net: A deep network of learning visual pathway for edge detection. Image Vis. Comput. 147: 105078 (2024) - [i1]Fuzhang Li, Chuan Lin:
UHNet: An Ultra-Lightweight and High-Speed Edge Detection Network. CoRR abs/2408.04258 (2024) - 2023
- [j8]Haojun Zhao, Chuan Lin, Fuzhang Li, Yongsheng Xie, Lingmei Wu:
Learning Multi-Scale Features Using Dilated Convolution for Contour Detection. IEEE Access 11: 64282-64293 (2023) - [j7]Zhengqiao Luo, Chuan Lin, Fuzhang Li, Yongcai Pan:
BLEDNet: Bio-inspired lightweight neural network for edge detection. Eng. Appl. Artif. Intell. 124: 106530 (2023) - [j6]Ze-Qi Wen, Chuan Lin, Fuzhang Li, Linhao Cui:
Information recombination network for contour detection. Multim. Tools Appl. 82(3): 3895-3910 (2023) - 2022
- [j5]Tao Zhang, Fuzhang Li, Xin Zhao, Wang Qi, Tianwei Liu:
A Convolutional Neural Network-Based Surrogate Model for Multi-objective Optimization Evolutionary Algorithm Based on Decomposition. Swarm Evol. Comput. 72: 101081 (2022) - 2021
- [j4]Qing Zhang, Chuan Lin, Fuzhang Li:
Application of binocular disparity and receptive field dynamics: A biologically-inspired model for contour detection. Pattern Recognit. 110: 107657 (2021) - 2020
- [j3]Fuzhang Li, Chuan Lin, Qing Zhang, Ruixing Wang:
A Biologically Inspired Contour Detection Model Based on Multiple Visual Channels and Multi-Hierarchical Visual Information. IEEE Access 8: 15410-15422 (2020) - [j2]Chuan Lin, Linhao Cui, Fuzhang Li, Yijun Cao:
Lateral refinement network for contour detection. Neurocomputing 409: 361-371 (2020)
2010 – 2019
- 2019
- [j1]Chuan Lin, Fuzhang Li, Yijun Cao, Haojun Zhao:
Bio-inspired contour detection model based on multi-bandwidth fusion and logarithmic texture inhibition. IET Image Process. 13(12): 2304-2313 (2019)
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last updated on 2024-10-07 22:23 CEST by the dblp team
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