Chuan Lin

Orcid: 0000-0003-1779-1753

Affiliations:
  • Nanjing University of Aeronautics and Astronautics, College of Automation Engineering, China
  • Guangxi University of Science and Technology, College of Electric and Information Engineering, Liuzhou, China


According to our database1, Chuan Lin authored at least 48 papers between 2016 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
RSVDet: Remote Sensing Small Object Detection Model Inspired by Neuronal Mechanisms in Visual Pathways.
IEEE Trans. Circuits Syst. Video Technol., April, 2026

A bio-inspired spatial-frequency synergistic model for small object detection.
Pattern Recognit., 2026

MOTDNet: Multi organ task decoupling network for cell segmentation.
Medical Image Anal., 2026

DSF-Net: A directional spatial-frequency fusion network for accurate metal surface defect detection.
Expert Syst. Appl., 2026

BDCNet: Feature-decoupling and cross-task collaboration network with biological priors for cell segmentation and classification.
Expert Syst. Appl., 2026

ANNet: Adaptive nonlinear network for medical image segmentation with brightness balancing and noise suppression.
Biomed. Signal Process. Control., 2026

Bio-YOLO: A bio-inspired lightweight small object detection network for aerial images.
Appl. Soft Comput., 2026

DLR-YOLO: Dynamic low-rank training for a lightweight power tower object detection network in multi-scenario remote sensing images.
Adv. Eng. Informatics, 2026

2025
BLENet: A Bio-Inspired Lightweight and Efficient Network for Left Ventricle Segmentation in Echocardiography.
IEEE Trans. Circuits Syst. Video Technol., September, 2025

Bio-inspired enhancement network for object detection in adverse conditions.
Signal Image Video Process., May, 2025

A feature aggregation network for contour detection inspired by complex cells properties.
Vis. Comput., February, 2025

RPLFDet: A Lightweight Small Object Detection Network for UAV Aerial Images With Rational Preservation of Low-Level Features.
IEEE Trans. Instrum. Meas., 2025

Real-time inner wall surface defect detection based on multi-morphological feature fusion network.
Eng. Appl. Artif. Intell., 2025

MFI-Net: Multi-level feature integration network for segmentation in breast ultrasound imaging.
Digit. Signal Process., 2025

Learning Gabor layer for edge detection network.
Digit. Signal Process., 2025

EVMNet: Eagle visual mechanism-inspired lightweight network for small object detection in UAV aerial images.
Digit. Signal Process., 2025

A lightweight small object detection network inspired by the visual area V2.
Comput. Electr. Eng., 2025

VSTDet: A lightweight small object detection network inspired by the ventral visual pathway.
Appl. Soft Comput., 2025

2024
Bi-directional complementary cascade lightweight network for edge detection.
Signal Image Video Process., December, 2024

Bio-inspired XYW parallel pathway edge detection network.
Expert Syst. Appl., March, 2024

BRSTD: Bio-Inspired Remote Sensing Tiny Object Detection.
IEEE Trans. Geosci. Remote. Sens., 2024

LVP-net: A deep network of learning visual pathway for edge detection.
Image Vis. Comput., 2024

UHNet: An Ultra-Lightweight and High-Speed Edge Detection Network.
CoRR, 2024

A lightweight contour detection network inspired by biology.
Complex Intell. Syst., 2024

2023
Unsupervised Visual Odometry and Action Integration for PointGoal Navigation in Indoor Environment.
IEEE Trans. Circuits Syst. Video Technol., October, 2023

Bio-inspired feature cascade network for edge detection.
Vis. Comput., September, 2023

Bio-inspired multi-level interactive contour detection network.
Digit. Signal Process., September, 2023

Bio-inspired interactive feedback neural networks for edge detection.
Appl. Intell., June, 2023

Learning generalized visual odometry using position-aware optical flow and geometric bundle adjustment.
Pattern Recognit., April, 2023

Multi-decoding Network with Attention Learning for Edge Detection.
Neural Process. Lett., 2023

Information recombination network for contour detection.
Multim. Tools Appl., 2023

BLEDNet: Bio-inspired lightweight neural network for edge detection.
Eng. Appl. Artif. Intell., 2023

Learning Multi-Scale Features Using Dilated Convolution for Contour Detection.
IEEE Access, 2023

2022
A bio-inspired contour detection model using multiple cues inhibition in primary visual cortex.
Multim. Tools Appl., 2022

Bio-inspired feature enhancement network for edge detection.
Appl. Intell., 2022

2021
Learning Crisp Boundaries Using Deep Refinement Network and Adaptive Weighting Loss.
IEEE Trans. Multim., 2021

Application of binocular disparity and receptive field dynamics: A biologically-inspired model for contour detection.
Pattern Recognit., 2021

Dense connection decoding network for crisp contour detection.
IET Image Process., 2021

2020
Multi-scale contour detection model based on fixational eye movement mechanism.
Signal Image Video Process., 2020

Lateral refinement network for contour detection.
Neurocomputing, 2020

A Biologically Inspired Contour Detection Model Based on Multiple Visual Channels and Multi-Hierarchical Visual Information.
IEEE Access, 2020

2019
Application of the center-surround mechanism to contour detection.
Multim. Tools Appl., 2019

Bio-inspired contour detection model based on multi-bandwidth fusion and logarithmic texture inhibition.
IET Image Process., 2019

Improved Color Opponent Contour Detection Model Based on Dark and Light Adaptation.
Autom. Control. Comput. Sci., 2019

2018
Contour detection model using linear and non-linear modulation based on non-CRF suppression.
IET Image Process., 2018

Contour detection model based on neuron behaviour in primary visual cortex.
IET Comput. Vis., 2018

2017
Optimizing ZNCC calculation in binocular stereo matching.
Signal Process. Image Commun., 2017

2016
Improved contour detection model with spatial summation properties based on nonclassical receptive field.
J. Electronic Imaging, 2016


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