Research on Lossless Compression Coding Algorithm of N-Band Parametric Spectral Integer Reversible Transformation Combined With the Lifting Scheme for Hyperspectral Images.

[BibT_eX]

[DOI]

Changcheng Li

Deyun Chen

Chengjun Xie

Yilong Gao

Jinrui Liu

IEEE Access, 2022

Detection of Pin Defects in Transmission Lines Based on Dynamic Receptive Field.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Panchromatic and Multispectral Image Fusion via Alternating Reverse Filtering Network.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Memory-Augmented Model-Driven Network for Pansharpening.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 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

Recognition and counting of wheat mites in wheat fields by a three-step deep learning method.

[BibT_eX]

[DOI]

Neurocomputing, 2021

A stepped sampling method for video detection using LSTM.

[BibT_eX]

[DOI]

Dengshan Li

Rujing Wang

Chengjun Xie

CoRR, 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

2020

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

[BibT_eX]

[DOI]

Sensors, 2020

C-FCN: Corners-based fully convolutional network for visual object detection.

[BibT_eX]

[DOI]

Lin Jiao

Rujing Wang

Chengjun Xie

Multim. Tools Appl., 2020

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

[BibT_eX]

[DOI]

Comput. Electron. Agric., 2020

AF-RCNN: An anchor-free convolutional neural network for multi-categories agricultural pest detection.

[BibT_eX]

[DOI]

Comput. Electron. Agric., 2020

Occurrence prediction of cotton pests and diseases by bidirectional long short-term memory networks with climate and atmosphere circulation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2020

2019

A Deep Learning Framework for Driving Behavior Identification on In-Vehicle CAN-BUS Sensor Data.

[BibT_eX]

[DOI]

Sensors, 2019

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

[BibT_eX]

[DOI]

IEEE Access, 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

Synchronization in mutual-coupled temporal Boolean networks.

[BibT_eX]

[DOI]

Qiang Wei

Chengjun Xie

Trans. Inst. Meas. Control, 2018

Support vector correlation filter with long-term tracking.

[BibT_eX]

[DOI]

Signal Image Video Process., 2018

Insect Detection and Classification Based on an Improved Convolutional Neural Network.

[BibT_eX]

[DOI]

Sensors, 2018

Super-resolution reconstruction based on continued fractions interpolation kernel in the polar coordinates.

[BibT_eX]

[DOI]

J. Electronic Imaging, 2018

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

[BibT_eX]

[DOI]

Comput. Electron. Agric., 2018

2017

Robust object tracking via multi-scale patch based sparse coding histogram.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2017

A novel super-resolution image and video reconstruction approach based on Newton-Thiele's rational kernel in sparse principal component analysis.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2017

2015

Corrigendum to "Super-resolution by polar Newton-Thiele's rational kernel in centralized sparsity paradigm" [Signal Processing: Image Communication, 31(2015), pp 86-99].

[BibT_eX]

[DOI]

Signal Process. Image Commun., 2015

Super-resolution by polar Newton-Thiele's rational kernel in centralized sparsity paradigm.

[BibT_eX]

[DOI]

Lei He