Zhongqi Lin

Orcid: 0000-0002-3273-0783

Affiliations:
  • China Agricultural University, Beijing, China


According to our database1, Zhongqi Lin authored at least 19 papers between 2019 and 2024.

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

Timeline

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Bibliography

2024
A coarse-to-fine pattern parser for mitigating the issue of drastic imbalance in pixel distribution.
Pattern Recognit., April, 2024

FCPN: Pruning redundant part-whole relations for more streamlined pattern parsing.
Neural Networks, January, 2024

FCPN: Pruning redundant part-whole relations for more streamlined pattern parsing.
Neural Networks, 2024

Reducing vulnerable internal feature correlations to enhance efficient topological structure parsing.
Expert Syst. Appl., 2024

2023
CtFPPN: A coarse-to-fine pattern parser for dealing with distribution imbalance of pixels.
Knowl. Based Syst., November, 2023

IOP-CapsNet with ISEMRA: Fetching part-to-whole topology for improving detection performance of articulated instances.
Expert Syst. Appl., September, 2023

ML-CapsNet meets VB-DI-D: A novel distortion-tolerant baseline for perturbed object recognition.
Eng. Appl. Artif. Intell., April, 2023

DR-CapsNet with CAEMRA: Looking deep inside instance for boosting object detection effect.
Eng. Appl. Artif. Intell., 2023

2022
Butterfly Specimens.
Dataset, May, 2022

Feature Correlation-Steered Capsule Network for object detection.
Neural Networks, 2022

CapsNet meets ORB: A deformation-tolerant baseline for recognizing distorted targets.
Int. J. Intell. Syst., 2022

2021
Increasingly Specialized Generative Adversarial Network for fine-grained visual categorization.
Knowl. Based Syst., 2021

A coarse-to-fine capsule network for fine-grained image categorization.
Neurocomputing, 2021

CapsNet meets SIFT: A robust framework for distorted target categorization.
Neurocomputing, 2021

2020
A hierarchical coarse-to-fine perception for small-target categorization of butterflies under complex backgrounds.
J. Intell. Fuzzy Syst., 2020

A novel quadruple generative adversarial network for semi-supervised categorization of low-resolution images.
Neurocomputing, 2020

Fine-grained visual categorization of butterfly specimens at sub-species level via a convolutional neural network with skip-connections.
Neurocomputing, 2020

2019
A Unified Matrix-Based Convolutional Neural Network for Fine-Grained Image Classification of Wheat Leaf Diseases.
IEEE Access, 2019

Increasingly Specialized Perception Network for Fine-Grained Visual Categorization of Butterfly Specimens.
IEEE Access, 2019


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