Zhongqi Lin

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Convolutional Neural Network

Object Recognition

Visual Categorization

Top Venues

Neural Networks

Eng. Appl. Artif. Intell.

Expert Syst. Appl.

Publications

Zhongqi Lin, Zengwei Zheng, Jingdun Jia, Wanlin Gao
Reducing vulnerable internal feature correlations to enhance efficient topological structure parsing. Expert Syst. Appl. 247 (2024)
Zhongqi Lin, Zengwei Zheng
FCPN: Pruning redundant part-whole relations for more streamlined pattern parsing. Neural Networks 169 (2024)
Zhongqi Lin, Linye Xu, Zengwei Zheng
FCPN: Pruning redundant part-whole relations for more streamlined pattern parsing. Neural Networks 174 (2024)
Zhongqi Lin, Xudong Jiang, Zengwei Zheng
A coarse-to-fine pattern parser for mitigating the issue of drastic imbalance in pixel distribution. Pattern Recognit. 148 (2024)
Zhongqi Lin, Zengwei Zheng, Jingdun Jia, Wanlin Gao, Feng Huang
DR-CapsNet with CAEMRA: Looking deep inside instance for boosting object detection effect. Eng. Appl. Artif. Intell. 123 (Part A) (2023)
Zhongqi Lin, Yuan Wang, Zengwei Zheng
CtFPPN: A coarse-to-fine pattern parser for dealing with distribution imbalance of pixels. Knowl. Based Syst. 280 (2023)
Zhongqi Lin, Yuan Wang, Zengwei Zheng, Jingdun Jia, Wanlin Gao
IOP-CapsNet with ISEMRA: Fetching part-to-whole topology for improving detection performance of articulated instances. Expert Syst. Appl. 226 (2023)
Zhongqi Lin, Zengwei Zheng, Jingdun Jia, Wanlin Gao, Feng Huang
ML-CapsNet meets VB-DI-D: A novel distortion-tolerant baseline for perturbed object recognition. Eng. Appl. Artif. Intell. 120 (2023)
Zhongqi Lin, Wanlin Gao, Jingdun Jia, Feng Huang
CapsNet meets ORB: A deformation-tolerant baseline for recognizing distorted targets. Int. J. Intell. Syst. 37 (6) (2022)
Zhongqi Lin, Jingdun Jia, Feng Huang, Wanlin Gao
Feature Correlation-Steered Capsule Network for object detection. Neural Networks 147 (2022)
Zhongqi Lin, Wanlin Gao, Feng Huang, Jingdun Jia
Increasingly Specialized Generative Adversarial Network for fine-grained visual categorization. Knowl. Based Syst. 232 (2021)
Zhongqi Lin, Jingdun Jia, Feng Huang, Wanlin Gao
A coarse-to-fine capsule network for fine-grained image categorization. Neurocomputing 456 (2021)
Zhongqi Lin, Wanlin Gao, Jingdun Jia, Feng Huang
CapsNet meets SIFT: A robust framework for distorted target categorization. Neurocomputing 464 (2021)
Zhongqi Lin, Jingdun Jia, Wanlin Gao, Feng Huang
A novel quadruple generative adversarial network for semi-supervised categorization of low-resolution images. Neurocomputing 415 (2020)
Zhongqi Lin, Jingdun Jia, Wanlin Gao, Feng Huang
Fine-grained visual categorization of butterfly specimens at sub-species level via a convolutional neural network with skip-connections. Neurocomputing 384 (2020)
Zhongqi Lin, Jingdun Jia, Wanlin Gao, Feng Huang
A hierarchical coarse-to-fine perception for small-target categorization of butterflies under complex backgrounds. J. Intell. Fuzzy Syst. 38 (3) (2020)
Zhongqi Lin, Jingdun Jia, Wanlin Gao, Feng Huang
Increasingly Specialized Perception Network for Fine-Grained Visual Categorization of Butterfly Specimens. IEEE Access 7 (2019)
Zhongqi Lin, Shaomin Mu, Feng Huang, Khattak Abdul Mateen, Minjuan Wang, Wanlin Gao, Jingdun Jia
A Unified Matrix-Based Convolutional Neural Network for Fine-Grained Image Classification of Wheat Leaf Diseases. IEEE Access 7 (2019)