Bio-inspired contour detection model based on multi-bandwidth fusion and logarithmic texture inhibition. - Chuan Lin 003; Fuzhang Li; Yijun Cao; Haojun Zhao (IET Image Process., 2019)

A Biologically Inspired Contour Detection Model Based on Multiple Visual Channels and Multi-Hierarchical Visual Information. - Fuzhang Li; Chuan Lin 003; Qing Zhang; Ruixing Wang (IEEE Access, 2020)

Lateral refinement network for contour detection. - Chuan Lin 003; Linhao Cui; Fuzhang Li; Yijun Cao (Neurocomputing, 2020)

Application of binocular disparity and receptive field dynamics: A biologically-inspired model for contour detection. - Qing Zhang; Chuan Lin 003; Fuzhang Li (Pattern Recognit., 2021)

A Convolutional Neural Network-Based Surrogate Model for Multi-objective Optimization Evolutionary Algorithm Based on Decomposition. - Tao Zhang 025; Fuzhang Li; Xin Zhao 006; Wang Qi; Tianwei Liu (Swarm Evol. Comput., 2022)

Learning Multi-Scale Features Using Dilated Convolution for Contour Detection. - Haojun Zhao; Chuan Lin 003; Fuzhang Li; Yongsheng Xie; Lingmei Wu (IEEE Access, 2023)

BLEDNet: Bio-inspired lightweight neural network for edge detection. - Zhengqiao Luo; Chuan Lin 003; Fuzhang Li; Yongcai Pan 001 (Eng. Appl. Artif. Intell., 2023)

Information recombination network for contour detection. - Ze-Qi Wen; Chuan Lin 003; Fuzhang Li; Linhao Cui (Multim. Tools Appl., 2023)

UHNet: An Ultra-Lightweight and High-Speed Edge Detection Network. - Fuzhang Li; Chuan Lin 003 (CoRR, 2024)

LVP-net: A deep network of learning visual pathway for edge detection. - Xiao Zhang; Chuan Lin 003; Fuzhang Li; Yijun Cao; Yongjie Li 001 (Image Vis. Comput., 2024)

Bio-inspired XYW parallel pathway edge detection network. - Xintao Pang; Chuan Lin 003; Fuzhang Li; Yongcai Pan 001 (Expert Syst. Appl., 2024)

A feature aggregation network for contour detection inspired by complex cells properties. - Haihua Ding; Chuan Lin 003; Fuzhang Li; Yongcai Pan 001 (Vis. Comput., 2025)