Fangyuan Wang

According to our database, Fangyuan Wang authored at least 11 papers between 2019 and 2022.

Collaborative distances:

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

2022

A global activated feature pyramid network for tiny pest detection in the wild.

Liu Liu, Rujing Wang, Chengjun Xie, Rui Li, Fangyuan Wang, Long Qi

Mach. Vis. Appl., 2022

2021

Deep Learning Based Automatic Multiclass Wild Pest Monitoring Approach Using Hybrid Global and Local Activated Features.

Liu Liu, Chengjun Xie, Rujing Wang, Po Yang, Sud Sudirman, Jie Zhang, Rui Li, Fangyuan Wang

IEEE Trans. Ind. Informatics, 2021

Learning region-guided scale-aware feature selection for object detection.

Liu Liu, Rujing Wang, Chengjun Xie, Rui Li, Fangyuan Wang, Man Zhou, Yue Teng

Neural Comput. Appl., 2021

ReinforceNet: A reinforcement learning embedded object detection framework with region selection network.

Man Zhou, Rujing Wang, Chengjun Xie, Liu Liu, Rui Li, Fangyuan Wang, Dengshan Li

Neurocomputing, 2021

Convolutional neural network based automatic pest monitoring system using hand-held mobile image analysis towards non-site-specific wild environment.

Fangyuan Wang, Rujing Wang, Chengjun Xie, Jie Zhang, Rui Li, Liu Liu

Comput. Electron. Agric., 2021

2020

A Recognition Method for Rice Plant Diseases and Pests Video Detection Based on Deep Convolutional Neural Network.

Dengshan Li, Rujing Wang, Chengjun Xie, Liu Liu, Jie Zhang, Rui Li, Fangyuan Wang, Man Zhou, Wancai Liu

Sensors, 2020

Fusing multi-scale context-aware information representation for automatic in-field pest detection and recognition.

Fangyuan Wang, Rujing Wang, Chengjun Xie, Po Yang, Liu Liu

Comput. Electron. Agric., 2020

An effective automatic system deployed in agricultural Internet of Things using Multi-Context Fusion Network towards crop disease recognition in the wild.

Yushan Zhao, Liu Liu, Chengjun Xie, Rujing Wang, Fangyuan Wang, Yingqiao Bu, Shunxiang Zhang

Appl. Soft Comput., 2020

2019

PestNet: An End-to-End Deep Learning Approach for Large-Scale Multi-Class Pest Detection and Classification.

Liu Liu, Rujing Wang, Chengjun Xie, Po Yang, Fangyuan Wang, Sud Sudirman, Wancai Liu

IEEE Access, 2019

An Effective Data Augmentation Strategy for CNN-Based Pest Localization and Recognition in the Field.

Rui Li, Xiufang Jia, Min Hu, Man Zhou, Dengshan Li, Wancai Liu, Rujing Wang, Jie Zhang, Chengjun Xie, Liu Liu, Fangyuan Wang, Hongbo Chen, Tianjiao Chen, Haiying Hu

IEEE Access, 2019

Deep Learning based Automatic Approach using Hybrid Global and Local Activated Features towards Large-scale Multi-class Pest Monitoring.

Liu Liu, Rujing Wang, Chengjun Xie, Po Yang, Sud Sudirman, Fangyuan Wang, Rui Li

Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019