Fangyuan Wang - RankMe

11 papers C 1Journal 10

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	A global activated feature pyramid network for tiny pest detection in the wild. Mach. Vis. Appl. Liu Liu, Rujing Wang, Chengjun Xie, Rui Li, Fangyuan Wang, Long Qi
2021	J	`jnl`	Convolutional neural network based automatic pest monitoring system using hand-held mobile image analysis towards non-site-specific wild environment. Comput. Electron. Agric. Fangyuan Wang, Rujing Wang, Chengjun Xie, Jie Zhang, Rui Li, Liu Liu
2021	J	`jnl`	Deep Learning Based Automatic Multiclass Wild Pest Monitoring Approach Using Hybrid Global and Local Activated Features. IEEE Trans. Ind. Informatics Liu Liu, Chengjun Xie, Rujing Wang, Po Yang, Sud Sudirman, Jie Zhang, Rui Li, Fangyuan Wang
2021	J	`jnl`	Learning region-guided scale-aware feature selection for object detection. Neural Comput. Appl. Liu Liu, Rujing Wang, Chengjun Xie, Rui Li, Fangyuan Wang, Man Zhou, Yue Teng
2021	J	`jnl`	ReinforceNet: A reinforcement learning embedded object detection framework with region selection network. Neurocomputing Man Zhou, Rujing Wang, Chengjun Xie, Liu Liu, Rui Li, Fangyuan Wang, Dengshan Li
2020	J	`jnl`	A Recognition Method for Rice Plant Diseases and Pests Video Detection Based on Deep Convolutional Neural Network. Sensors Dengshan Li, Rujing Wang, Chengjun Xie, Liu Liu, Jie Zhang, Rui Li, Fangyuan Wang, Man Zhou, Wancai Liu
2020	J	`jnl`	An effective automatic system deployed in agricultural Internet of Things using Multi-Context Fusion Network towards crop disease recognition in the wild. Appl. Soft Comput. Yushan Zhao, Liu Liu, Chengjun Xie, Rujing Wang, Fangyuan Wang, Yingqiao Bu, Shunxiang Zhang
2020	J	`jnl`	Fusing multi-scale context-aware information representation for automatic in-field pest detection and recognition. Comput. Electron. Agric. Fangyuan Wang, Rujing Wang, Chengjun Xie, Po Yang, Liu Liu
2019	J	`jnl`	An Effective Data Augmentation Strategy for CNN-Based Pest Localization and Recognition in the Field. IEEE Access 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
2019	C	`conf`	Deep Learning based Automatic Approach using Hybrid Global and Local Activated Features towards Large-scale Multi-class Pest Monitoring. INDIN Liu Liu, Rujing Wang, Chengjun Xie, Po Yang, Sud Sudirman, Fangyuan Wang, Rui Li
2019	J	`jnl`	PestNet: An End-to-End Deep Learning Approach for Large-Scale Multi-Class Pest Detection and Classification. IEEE Access Liu Liu, Rujing Wang, Chengjun Xie, Po Yang, Fangyuan Wang, Sud Sudirman, Wancai Liu