| A recognition method for rice plant diseases and pests video detection based on deep convolutional neural network D Li, R Wang, C Xie, L Liu, J Zhang, R Li, F Wang, M Zhou, W Liu Sensors 20 (3), 578, 2020 | 220 | 2020 |
| PestNet: An end-to-end deep learning approach for large-scale multi-class pest detection and classification L Liu, R Wang, C Xie, P Yang, F Wang, S Sudirman, W Liu Ieee Access 7, 45301-45312, 2019 | 204 | 2019 |
| A deep learning framework for driving behavior identification on in-vehicle CAN-BUS sensor data J Zhang, ZC Wu, F Li, C Xie, T Ren, J Chen, L Liu Sensors 19 (6), 1356, 2019 | 124 | 2019 |
| Fusing multi-scale context-aware information representation for automatic in-field pest detection and recognition F Wang, R Wang, C Xie, P Yang, L Liu Computers and Electronics in Agriculture 169, 105222, 2020 | 93 | 2020 |
| An effective data augmentation strategy for CNN-based pest localization and recognition in the field R Li, R Wang, J Zhang, C Xie, L Liu, F Wang, H Chen, T Chen, H Hu, X Jia, ... IEEE access 7, 160274-160283, 2019 | 81 | 2019 |
| Agripest: A large-scale domain-specific benchmark dataset for practical agricultural pest detection in the wild R Wang, L Liu, C Xie, P Yang, R Li, M Zhou Sensors 21 (5), 1601, 2021 | 76 | 2021 |
| An effective automatic system deployed in agricultural Internet of Things using Multi-Context Fusion Network towards crop disease recognition in the wild Y Zhao, L Liu, C Xie, R Wang, F Wang, Y Bu, S Zhang Applied Soft Computing 89, 106128, 2020 | 71 | 2020 |
| Deep learning based automatic multiclass wild pest monitoring approach using hybrid global and local activated features L Liu, C Xie, R Wang, P Yang, S Sudirman, J Zhang, R Li, F Wang IEEE Transactions on Industrial Informatics 17 (11), 7589-7598, 2020 | 54 | 2020 |
| Akb-48: A real-world articulated object knowledge base L Liu, W Xu, H Fu, S Qian, Q Yu, Y Han, C Lu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 52 | 2022 |
| A coarse-to-fine network for aphid recognition and detection in the field R Li, R Wang, C Xie, L Liu, J Zhang, F Wang, W Liu Biosystems Engineering 187, 39-52, 2019 | 50 | 2019 |
| OakInk: A large-scale knowledge repository for understanding hand-object interaction L Yang, K Li, X Zhan, F Wu, A Xu, L Liu, C Lu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 47 | 2022 |
| Non-monotonic iterative roots extended from characteristic intervals L Liu, W Zhang Journal of mathematical analysis and applications 378 (1), 359-373, 2011 | 45 | 2011 |
| When pansharpening meets graph convolution network and knowledge distillation K Yan, M Zhou, L Liu, C Xie, D Hong IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2022 | 31 | 2022 |
| Convolutional neural network based automatic pest monitoring system using hand-held mobile image analysis towards non-site-specific wild environment F Wang, R Wang, C Xie, J Zhang, R Li, L Liu Computers and Electronics in Agriculture 187, 106268, 2021 | 31 | 2021 |
| Toward real-world category-level articulation pose estimation L Liu, H Xue, W Xu, H Fu, C Lu IEEE Transactions on Image Processing 31, 1072-1083, 2022 | 27 | 2022 |
| Towards densely clustered tiny pest detection in the wild environment J Du, L Liu, R Li, L Jiao, C Xie, R Wang Neurocomputing 490, 400-412, 2022 | 20 | 2022 |
| A multi-branch convolutional neural network with density map for aphid counting R Li, R Wang, C Xie, H Chen, Q Long, L Liu, J Zhang, T Chen, H Hu, ... Biosystems Engineering 213, 148-161, 2022 | 18 | 2022 |
| MSR-RCNN: a multi-class crop pest detection network based on a multi-scale super-resolution feature enhancement module Y Teng, J Zhang, S Dong, S Zheng, L Liu Frontiers in Plant Science 13, 810546, 2022 | 17 | 2022 |
| A global activated feature pyramid network for tiny pest detection in the wild L Liu, R Wang, C Xie, R Li, F Wang, L Qi Machine Vision and Applications 33 (5), 76, 2022 | 15 | 2022 |
| ReinforceNet: A reinforcement learning embedded object detection framework with region selection network M Zhou, R Wang, C Xie, L Liu, R Li, F Wang, D Li Neurocomputing 443, 369-379, 2021 | 15 | 2021 |
cewu luProfessor of Shanghai Jiao Tong University在 cs.stanford.edu 的电子邮件经过验证
