Liu Liu
Orcid: 0000-0003-4218-8008Affiliations:
- University of Science and Technology of China, Department of Automation, Hefei, China
- Chinese Academy Sciences, Institute of Intelligent Machines, and Hefei Institute of Physical Science, Hefei, China
According to our database1,
Liu Liu
authored at least 22 papers
between 2019 and 2022.
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Bibliography
2022
IEEE Trans. Image Process., 2022
IEEE Trans. Geosci. Remote. Sens., 2022
Mach. Vis. Appl., 2022
Neurocomputing, 2022
OakInk: A Large-scale Knowledge Repository for Understanding Hand-Object Interaction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
Deep Learning Based Automatic Multiclass Wild Pest Monitoring Approach Using Hybrid Global and Local Activated Features.
IEEE Trans. Ind. Informatics, 2021
AgriPest: A Large-Scale Domain-Specific Benchmark Dataset for Practical Agricultural Pest Detection in the Wild.
Sensors, 2021
GSS-RiskAsser: A Multi-Modal Deep-Learning Framework for Urban Gas Supply System Risk Assessment on Business Users.
Sensors, 2021
Neural Comput. Appl., 2021
ReinforceNet: A reinforcement learning embedded object detection framework with region selection network.
Neurocomputing, 2021
Convolutional neural network based automatic pest monitoring system using hand-held mobile image analysis towards non-site-specific wild environment.
Comput. Electron. Agric., 2021
Reinforcedet: Object Detection By Integrating Reinforcement Learning With Decoupled Pipeline.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
2020
A Recognition Method for Rice Plant Diseases and Pests Video Detection Based on Deep Convolutional Neural Network.
Sensors, 2020
Fusing multi-scale context-aware information representation for automatic in-field pest detection and recognition.
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.
Appl. Soft Comput., 2020
FPHA-Afford: A Domain-Specific Benchmark Dataset for Occluded Object Affordance Estimation in Human-Object-Robot Interaction.
Proceedings of the IEEE International Conference on Image Processing, 2020
2019
A Deep Learning Framework for Driving Behavior Identification on In-Vehicle CAN-BUS Sensor Data.
Sensors, 2019
PestNet: An End-to-End Deep Learning Approach for Large-Scale Multi-Class Pest Detection and Classification.
IEEE Access, 2019
An Effective Data Augmentation Strategy for CNN-Based Pest Localization and Recognition in the Field.
IEEE Access, 2019
Deep Learning based Automatic Approach using Hybrid Global and Local Activated Features towards Large-scale Multi-class Pest Monitoring.
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019