Rui Li

Orcid: 0000-0002-2885-1216

Affiliations:

Chinese Academy of Sciences, Institute of Intelligent Machines, Hefei, China

According to our database¹, Rui Li authored at least 22 papers between 2013 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Pan-Sharpening With Wavelet-Enhanced High-Frequency Information.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2024

2023

AE-FPN: adaptive enhance feature learning for detecting wire defects.

[BibT_eX]

[DOI]

Signal Image Video Process., July, 2023

An effective pest detection method with automatic data augmentation strategy in the agricultural field.

[BibT_eX]

[DOI]

Signal Image Video Process., March, 2023

Multiscale Dual-Domain Guidance Network for Pan-Sharpening.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

Swin-RGC: Swin-Transformer With Recursive Gated Convolution for Substation Equipment Non-Rigid Defect Detection.

[BibT_eX]

[DOI]

IEEE Access, 2023

Pyramid Dual Domain Injection Network for Pan-sharpening.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

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

[BibT_eX]

[DOI]

Mach. Vis. Appl., 2022

Towards densely clustered tiny pest detection in the wild environment.

[BibT_eX]

[DOI]

Neurocomputing, 2022

Adaptive feature fusion pyramid network for multi-classes agricultural pest detection.

[BibT_eX]

[DOI]

Comput. Electron. Agric., 2022

2021

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

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2021

AgriPest: A Large-Scale Domain-Specific Benchmark Dataset for Practical Agricultural Pest Detection in the Wild.

[BibT_eX]

[DOI]

Sensors, 2021

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

[BibT_eX]

[DOI]

Neural Comput. Appl., 2021

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

[BibT_eX]

[DOI]

Neurocomputing, 2021

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

[BibT_eX]

[DOI]

Comput. Electron. Agric., 2021

S-RPN: Sampling-balanced region proposal network for small crop pest detection.

[BibT_eX]

[DOI]

Comput. Electron. Agric., 2021

CRA-Net: A channel recalibration feature pyramid network for detecting small pests.

[BibT_eX]

[DOI]

Comput. Electron. Agric., 2021

2020

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

[BibT_eX]

[DOI]

Sensors, 2020

2019

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

[BibT_eX]

[DOI]

IEEE Access, 2019

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

[BibT_eX]

[DOI]

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

2018

Multi-level learning features for automatic classification of field crop pests.

[BibT_eX]

[DOI]

Comput. Electron. Agric., 2018

2015

Automatic classification for field crop insects via multiple-task sparse representation and multiple-kernel learning.

[BibT_eX]

[DOI]

Comput. Electron. Agric., 2015

2013

Facial expression recognition algorithm based on feature fusion adaptive weighted HLAC.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE/SICE International Symposium on System Integration, 2013

Rui Li

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...