Zhongqi Lin

According to our database, Zhongqi Lin authored at least 19 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A coarse-to-fine pattern parser for mitigating the issue of drastic imbalance in pixel distribution.

Zhongqi Lin, Xudong Jiang, Zengwei Zheng

Pattern Recognit., April, 2024

FCPN: Pruning redundant part-whole relations for more streamlined pattern parsing.

Zhongqi Lin, Zengwei Zheng

Neural Networks, January, 2024

FCPN: Pruning redundant part-whole relations for more streamlined pattern parsing.

Zhongqi Lin, Linye Xu, Zengwei Zheng

Neural Networks, 2024

Reducing vulnerable internal feature correlations to enhance efficient topological structure parsing.

Zhongqi Lin, Zengwei Zheng, Jingdun Jia, Wanlin Gao

Expert Syst. Appl., 2024

2023

CtFPPN: A coarse-to-fine pattern parser for dealing with distribution imbalance of pixels.

Zhongqi Lin, Yuan Wang, Zengwei Zheng

Knowl. Based Syst., November, 2023

IOP-CapsNet with ISEMRA: Fetching part-to-whole topology for improving detection performance of articulated instances.

Zhongqi Lin, Yuan Wang, Zengwei Zheng, Jingdun Jia, Wanlin Gao

Expert Syst. Appl., September, 2023

ML-CapsNet meets VB-DI-D: A novel distortion-tolerant baseline for perturbed object recognition.

Zhongqi Lin, Zengwei Zheng, Jingdun Jia, Wanlin Gao, Feng Huang

Eng. Appl. Artif. Intell., April, 2023

DR-CapsNet with CAEMRA: Looking deep inside instance for boosting object detection effect.

Zhongqi Lin, Zengwei Zheng, Jingdun Jia, Wanlin Gao, Feng Huang

Eng. Appl. Artif. Intell., 2023

2022

Butterfly Specimens.

Zhongqi Lin

Dataset, May, 2022

Feature Correlation-Steered Capsule Network for object detection.

Zhongqi Lin, Jingdun Jia, Feng Huang, Wanlin Gao

Neural Networks, 2022

CapsNet meets ORB: A deformation-tolerant baseline for recognizing distorted targets.

Zhongqi Lin, Wanlin Gao, Jingdun Jia, Feng Huang

Int. J. Intell. Syst., 2022

2021

Increasingly Specialized Generative Adversarial Network for fine-grained visual categorization.

Zhongqi Lin, Wanlin Gao, Feng Huang, Jingdun Jia

Knowl. Based Syst., 2021

A coarse-to-fine capsule network for fine-grained image categorization.

Zhongqi Lin, Jingdun Jia, Feng Huang, Wanlin Gao

Neurocomputing, 2021

CapsNet meets SIFT: A robust framework for distorted target categorization.

Zhongqi Lin, Wanlin Gao, Jingdun Jia, Feng Huang

Neurocomputing, 2021

2020

A hierarchical coarse-to-fine perception for small-target categorization of butterflies under complex backgrounds.

Zhongqi Lin, Jingdun Jia, Wanlin Gao, Feng Huang

J. Intell. Fuzzy Syst., 2020

A novel quadruple generative adversarial network for semi-supervised categorization of low-resolution images.

Zhongqi Lin, Jingdun Jia, Wanlin Gao, Feng Huang

Neurocomputing, 2020

Fine-grained visual categorization of butterfly specimens at sub-species level via a convolutional neural network with skip-connections.

Zhongqi Lin, Jingdun Jia, Wanlin Gao, Feng Huang

Neurocomputing, 2020

2019

A Unified Matrix-Based Convolutional Neural Network for Fine-Grained Image Classification of Wheat Leaf Diseases.

Zhongqi Lin, Shaomin Mu, Feng Huang, Khattak Abdul Mateen, Minjuan Wang, Wanlin Gao, Jingdun Jia

IEEE Access, 2019

Increasingly Specialized Perception Network for Fine-Grained Visual Categorization of Butterfly Specimens.

Zhongqi Lin, Jingdun Jia, Wanlin Gao, Feng Huang

IEEE Access, 2019