Jie Zhang

Orcid: 0000-0002-0853-4379

Affiliations:

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

According to our database¹, Jie Zhang authored at least 31 papers between 2012 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

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In proceedings

Article

PhD thesis

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Other

Bibliography

2025

Pan-Mamba: Effective pan-sharpening with state space model.

[BibT_eX]

[DOI]

Inf. Fusion, 2025

2024

A fine-tuned multimodal large model for power defect image-text question-answering.

[BibT_eX]

[DOI]

Signal Image Video Process., December, 2024

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

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2024

RSProtoSeg: High Spatial Resolution Remote Sensing Images Segmentation Based on Non-Learnable Prototypes.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2024

Spatially-Adaptive Large-Kernel Network for Efficient Image Super-Resolution.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2024

Shuffle Mamba: State Space Models with Random Shuffle for Multi-Modal Image Fusion.

[BibT_eX]

[DOI]

CoRR, 2024

Training-Free Large Model Priors for Multiple-in-One Image Restoration.

[BibT_eX]

[DOI]

CoRR, 2024

ID-Animator: Zero-Shot Identity-Preserving Human Video Generation.

[BibT_eX]

[DOI]

CoRR, 2024

Pan-Mamba: Effective pan-sharpening with State Space Model.

[BibT_eX]

[DOI]

CoRR, 2024

Enhancing RAW-to-sRGB with Decoupled Style Structure in Fourier Domain.

[BibT_eX]

[DOI]

CoRR, 2024

Frequency Decomposition-Driven Network for JPEG Artifacts Removal.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Frequency-Adaptive Pan-Sharpening with Mixture of Experts.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Enhancing RAW-to-sRGB with Decoupled Style Structure in Fourier Domain.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Observer-Based Adaptive Fuzzy Finite-Time Attitude Control for Quadrotor UAVs.

[BibT_eX]

[DOI]

IEEE Trans. Aerosp. Electron. Syst., December, 2023

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

[BibT_eX]

[DOI]

Signal Image Video Process., July, 2023

Automatic Recognition Reading Method of Pointer Meter Based on YOLOv5-MR Model.

[BibT_eX]

[DOI]

Sensors, July, 2023

Multiscale Dual-Domain Guidance Network for Pan-Sharpening.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

Singular Regularization with Information Bottleneck Improves Model's Adversarial Robustness.

[BibT_eX]

[DOI]

CoRR, 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

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

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

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

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

2014

Multi-scale patch-based sparse appearance model for robust object tracking.

[BibT_eX]

[DOI]

Mach. Vis. Appl., 2014

Collaborative object tracking model with local sparse representation.

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., 2014

2013

Multiple instance learning tracking method with local sparse representation.

[BibT_eX]

[DOI]

IET Comput. Vis., 2013

2012

Applications of Internet of Things in the Facility Agriculture.

[BibT_eX]

[DOI]

Proceedings of the Computer and Computing Technologies in Agriculture VI, 2012

Jie Zhang

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